Master
Data Science Courses In Noida
India’s Only Data Science Training Program created to help you to build a successful career in Data Science from scratch.
Top 10 Data Science Courses in Noida with Placement
Noida, a bustling city in northern India, is a prominent hub for IT, industry, and education. With modern infrastructure, vibrant culture, and rapid development, Noida is a key economic center.
In the dynamic city of Noida, where modernity converges with urban vibrancy, the surge in demand for expertise in data science is unmistakable. As businesses and organizations in Noida endeavor to leverage the potential of data for strategic decision-making, the significance of skilled professionals in the field has surged dramatically. Responding to this escalating need, Noida now boasts a diverse array of data science courses, empowering individuals to immerse themselves in the realms of analytics, machine learning, and data-driven insights.
Noida’s landscape, characterized by technological prowess and contemporary infrastructure, provides a unique setting for those venturing into the domain of data science. The educational ecosystem in Noida has adapted to accommodate specialized courses catering to both novices and seasoned professionals looking to augment their skills.
These courses, facilitated by cutting-edge facilities and seasoned instructors, not only impart technical expertise but also ground the learning experience within the local business milieu. As Noida positions itself as a focal point for data-centric innovation, these data science courses emerge as instrumental in sculpting a future workforce poised to navigate the intricacies of business analytics in this bustling city.
Comparison Chart: Top 10 Data Science Courses in Noida with Placement.
If you’re seeking accurate and trustworthy information on Data Science courses in Noida ,you’re in the right place. Explore the best options for your learning journey here.
| Institute Rank | Name | Training Delivery Type | Offering Course Since | Fees | Placement Assistance |
| 1 | Digiperform- Digital Career Academy | Online & Offline | 2013 | INR 30k-90k | 100%* |
| 2 | AnalytixLabs | Online & Offline | 2011 | INR 32,000-52,000 | 100% |
| 3 | TCA | Online & Offline | 2019 | INR 20,000- 56,000 | 100% |
| 4 | 4Achievers | Online & Offline | 2020 | INR 42,000-85,000 | 100% |
| 5 | CTC | Online & Offline | 2023 | INR 30,000- 60,000 | 100% |
| 6 | Data is Good | Online | 2019 | INR 1,50,000 | 97% |
| 7 | Ethans Tech | Online & Offline | 2015 | INR 35,000- 65,000 Approx | 100% |
| 8 | Antrix Academy of Data Science | Online & Offline | 2016 | INR 45,000 | 100% |
| 9 | Digikull | Online & Offline | 2020 | INR 1,20,000 + GST | 96% |
| 10 | Uncodemy | Online & Offline | 2010 | INR 40,000 – 80,000 | 100% |
Top 10 Data Science Courses in Noida
1. Digiperform
Digiperform stands out as India’s premier training provider, specializing in digital skills. Our extensive course curriculum is carefully curated by a team of over 50 experts from the Data Science industry. We actively seek input and suggestions from 450 innovative businesses across Asia to ensure our courses remain at the forefront of industry trends.
Our curriculum is thoughtfully designed to encompass the skills required for roles in both small and large Data Science agencies, as well as companies with in-house Data Science teams. At Digiperform, we prioritize a hands-on learning approach, combining practical exercises, research, and assignments to provide you with a well-rounded and practical learning experience.
Why Choose Digiperform Online Data Science Course?
Selecting an online data science course is a pivotal decision, and Digiperform presents numerous compelling reasons for individuals aspiring to forge a career in data science. Here are key aspects that distinguish Digiperform’s online data science course as a valuable choice:
Comprehensive Curriculum: Digiperform’s data science course is meticulously designed to provide a comprehensive grasp of key concepts and tools in the field, covering diverse topics such as statistical analysis, machine learning, and data visualization.
Tailored to Industry Needs: The course content is customized to meet the dynamic demands of the industry, ensuring that students acquire skills and knowledge directly applicable to real-world scenarios, thereby enhancing their employability.
Emphasis on Practical Learning: Digiperform places a strong emphasis on practical, hands-on learning experiences. Students actively engage in real-world projects, applying theoretical concepts to solve practical problems commonly encountered in concepts years of the field of data science.
Guidance from Industry Experts: The online data science course is facilitated by seasoned instructors with substantial industry expertise, providing students with high-quality instruction and guidance throughout their learning journey.
Flexibility and Convenience: Digiperform’s online data science course offers flexibility, enabling students to learn at their own pace and from the convenience of their own space. This flexibility proves especially advantageous for working professionals and individuals with hectic schedules.
Supportive Online Environment: The online learning platform fosters a supportive environment, offering access to resources, discussion forums, and opportunities to connect with instructors. This contributes to a collaborative and engaging learning experience.
Placement Support: Digiperform frequently extends placement assistance to students upon completing their data science course, offering valuable support to those seeking to transition into a data science career or enhance their existing roles.
Recognized Certification: Successful course completion results in a certification from Digiperform, a valuable credential attesting to the skills and knowledge acquired during the program, enhancing the credibility of individuals in the job market.
Regular Content Updates: Recognizing the dynamic nature of the data science field, Digiperform ensures regular updates to the course content, reflecting the latest industry trends, tools, and techniques. This commitment enhances the overall relevance of the learning experience.
Cost-Effective Pricing: Digiperform is dedicated to making quality education accessible and often offers competitive pricing for the course, making it a cost-effective option for individuals seeking to invest in their data science education.
Data Science Online Course: Advantages
Embark on a transformative journey into the realm of data science through Digiperform’s comprehensive online course. Here are distinctive advantages that make our program stand out:
Comprehensive Curriculum for Modern Needs: Our data science course is meticulously designed to cover the entire spectrum of data science, from fundamental principles to advanced techniques. Gain expertise in statistical analysis, machine learning, data visualization, and more, ensuring readiness for today’s data-driven landscape.
Project-Based Learning: We believe in learning through practice. Our course prioritizes hands-on learning via real-world projects, ensuring not just theoretical understanding but also practical application of concepts.
Guidance from Industry Experts: Learn from seasoned professionals! Our course is led by experienced instructors who bring real-world insights to the virtual classroom. Benefit from their expertise as you delve into the intricacies of data science.
Flexible Learning: Life is busy, and our course accommodates that. Enjoy unmatched flexibility with our online data science course, allowing you to learn at your own pace and convenience, whether you’re a working professional or a student.
24/7 Access to Learning Materials: Access a wealth of learning resources anytime, anywhere. Our online platform offers a variety of materials, including lecture recordings, readings, and guides, ensuring continuous support throughout your learning journey.
Engaging Community: Join a vibrant community of learners and experts. Our online forums and discussion groups encourage collaboration and interaction. Connect with instructors and peers, exchange insights, and seek assistance, fostering a supportive learning environment.
Certification for Career Growth: Upon completion, receive a prestigious certification from Digiperform, validating your data science proficiency and enhancing your employability.
Job Placement Support: Bridge the gap between education and employment with our job placement assistance. Benefit from guidance on navigating the job market, refining your resume, and preparing for interviews.
Regular Curriculum Updates: Data science evolves rapidly, and so does our curriculum. Stay ahead of the curve with timely updates reflecting the latest trends, tools, and techniques in the industry.
Affordable Quality: Quality education should be within reach. Our competitively priced data science course offers exceptional value, empowering individuals with the skills needed for a successful career in data science.
Career Support
Cutting-edge educational resources, including presentations, documents, PDFs, exercises, quizzes, and projects, carefully designed to meet international standards.
Our team comprises highly skilled trainers with an average of over 10 years of experience across leading industries.
Receive personalized career guidance, with ongoing online support and weekly sessions for clearing doubts, all provided by our expert mentors.
Access our learning management system (LMS) for 24/7 availability of lectures and training materials.
Prepare for data science job interviews tailored to specific role requirements.
We guarantee assistance with job placement through our dedicated placement cell, ensuring you secure your desired career opportunity.
Data Science Course Syllabus
Module 1: Introduction to Data Science | Introduction to the Industry & Buzzwords Industrial application of data science Introduction to different Data Science Techniques Important Software & Tools Career paths & growth in data science |
Module 2: Introduction to Excel
| Introduction to Excel- Interface, Sorting & Filtering,
Excel Reporting- Basic & Conditional Formatting
Essential Excel Formulae
Layouts, Printing and Securing Files |
Module 3: Introduction to Stats
| Introduction to Statistics & It’s Applications Different types of Data Population vs Sample Sampling Techniques Intro: Inferential vs. descriptive statistics |
Module 4: Descriptive Stats Using Excel Datasets | Categorical Variables Visualization Using Excel Charts- FDT, Pie Charts, Bar Charts & Pareto Numerical Variables Visualization of Frequency & Absolute Frequency- Using Histogram, Cross Table & Scatter Plot Measure of Spread ( Mean, Mode , Median) Measure of Variance( Skewness, SD, Variance, Range, Coef. Of Variance, Bivariate Analysis, Covariance & Correlation) |
Module 5: Inferential Stats Using Excel Datasets | Introduction to Probability Permutation & Combinations Types of events Normal distribution Standard Normal distribution Normal vs. Standard Normal distribution Confidence Intervals & Z-Score Hypothesis Testing & It’s Types |
Module 6: Database Design & MySQL | Relational Database theory & Introduction to SQL MySQL Installation Database Creation in the MySQL Workbench Querying in MySQL Joins and Set Operations SQL Practice Case Study Window Functions Case Statements, Stored Routines and Cursors Ø Query Optimisation and Best Practices Ø Problem-Solving Using SQL |
Module 7: Data Visualization Using Advanced Excel
| Introduction LOOKUP functions Pivot Tables WHATIF Analysis Dashboard Creation Recording Macros Advanced Visualizations- PIVOT Charts, Sparklines, Waterfall Charts Data Analysis ToolPak – Regression in Excel |
Module 8: Data Visualization Using Tableau | Introduction to Tableau Introduction What is Data Analytics? Why Data Visualisation? What is Tableau? Why Tableau? Tableau vs Excel and PowerBI Exploratory and Explanatory Analysis Getting started with Tableau Visualizing and Analyzing data with Tableau – I Introduction Bar Charts Line Charts and Filters Area Charts Box plots and Pivoting Maps and Hierarchies Pie Charts Treemaps and Grouping Dashboards Visualizing and Analyzing Data with Tableau – II Introduction Joins and Splits Numeric and String functions Logical and Date functions Histograms and parameters Scatter Plots Dual Axis Charts Top N Parameters and Calculated Fields Stacked bar Charts Dashboards – II and Filter Actions Storytelling Summary |
Module 9: Python Programming
| Installing Anaconda & Basics of Python Introduction to programming languages Compiler vs Interpreter Getting Started With Python Introduction to jupyter Notebooks Identifiers, Keywords Print function Comment, Indentation Data Types Functions Understanding what are functions Defining and calling functions Local and global variables Different types of arguments Map,reduce,filter,lambda and recursive functions Data Structures in Python Introduction Lists Tuples Sets Dictionaries Practice Exercise Summary Operator Input and Output Different Arithmetic , logical and Relational operators Input, Output function Eval function Format Function Control Flow If elif else statement For and while loops Break , continue and Pass statement List and dictionary comprehensions Functions Understanding what are functions Defining and calling functions Local and global variables Different types of arguments Map,reduce,filter,lambda and recursive functions File Handling Purpose of file handling Different function in file handling (open,read, write,close) Different modes (r,w,a,r+,w+,a+) With block Exception Handling, OOPX & Regex What is exception handling Try, except, else and finally block Different types of Exception Concept of Oops Different functions in Regex Metacharacters in Regex |
Module 10: Python For Data Science | NumPy Introduction to NumPy Basics of NumPy Operations Over 1-D Arrays Practice Exercise I Multidimensional Arrays Creating NumPy Arrays Mathematical Operations on NumPy Mathematical Operations on NumPy II Computation Times in NumPy vs Python Lists Practice Exercise II Pandas Introduction to Pandas Basics of Pandas Pandas – Rows and Columns Describing Data Indexing and Slicing Operations on Dataframes Groupby and Aggregate Functions Merging DataFrames Pivot Tables Practice Exercise |
Module 11: Data Visualization Using Python- Matplotlib & Seaborn
| Introduction to Data Visualisation with Matplotlib Introduction to Matplotlib The Necessity of Data Visualisation Visualisations – Some Examples Facts and Dimensions Bar Graph Scatter Plot Line Graph and Histogram Subplots Choosing Plot Types Summary Data Visualisation: Case Study Introduction Case Study: Mind Map Case Study Overview Data Handling and Cleaning: I Data Handling and Cleaning: II Sanity Checks Outliers Analysis with Boxplots Histograms Summary Practice Questions Data Visualization with Seaborn Introduction Distribution Plots Styling Options Pie – Chart and Bar Chart Scatter Plots Pair Plots Revisiting Bar Graphs and Box Plots Heatmaps Line Charts Stacked Bar Charts Case Study Summary Plotly Practice Questions |
Module 12: Exploratory Data Analysis | Data Sourcing Module Introduction Introduction to EDA Public and Private Data Private Data Public Data Web Scraping-I Web Scraping-II Summary Data Cleaning Introduction Data Types Fixing the Rows and Columns Impute/Remove Missing Values Handling Outliers Standardising Values Fixing Invalid Values and Filter Data Practice Questions Summary Univariate Analysis Introduction to Univariate Analysis Categorical Unordered Univariate Analysis Categorical Ordered Univariate Analysis Statistics on Numerical Features Graded Questions Summary Bivariate and Multivariate Analysis Introduction Numeric – Numeric Analysis Correlation vs Causation Numerical – Categorical Analysis Categorical – Categorical Analysis Multivariate Analysis Graded Questions Summary Module Summary |
Module 13: Supervised Learning Model - Regression | Introduction to Simple Linear Regression Introduction to Simple Linear Regression Introduction to machine learning Regression line Best fit line Strength of simple linear regression Simple linear regression in python Assumptions of simple linear regression Reading and understanding the data Hypothesis testing in linear regression Building a linear model Residue analysis and predictions Linear Regression using SKLearn Multiple Linear Regression Motivation-when one variable is not enough Moving from SLR to MLR-new considerations Multi collinearity Dealing with categorical variables Model assessment in comparison Feature selection Multiple Linear Regression in Python Reading and understanding the data Data preparation Initial steps Building the model I & II Residue analysis and predictions Variable selection using RFE Industry Relevance of Linear Regression Linear regression revision Prediction versus projection Media company case study Exploratory data analysis Model building - I, II & III Assessing the model Interpreting the results |
Module 14: Supervised Learning Model - Classification | Univariate Logistic Regression Binary classification Sigmoid curve Finding the best fit sigmoid curve - I Finding the best fit sigmoid curve - II Odds and log Odds Multivariate Logistic Regression - Model Building Multivariate Logistic Regression - Model Building Data cleaning and preparation - I & II Building your first model Feature elimination using RFE Confusion metrics and accuracy Manual feature elimination Multivariate Logistic Regression - Model Evaluation Multivariate Logistic Regression - Model Evaluation Metrics beyond accuracy-sensitivity and specificity Sensitivity and specificity in Python Understanding ROC curve ROC curve in python Finding the optimal threshold Model evaluation metrics - exercise Precision and recall Making predictions Logistic Regression - Industry Applications - Part I Getting familiar with logistic regression Nuances of logistic regression-sample selection Nuances of logistic regression-segmentation Nuances of logistic impression-variable transformation-I, II & III Logistic Regression: Industry Applications - Part II Model evaluation - A second look Model validation and importance of stability Tracking of model performance over time Logistic Regression - Industry Applications - Part II Commonly face challenges in implementation of logistic regression Model evaluation - A second look Model validation and importance of stability Tracking of model performance over time |
Module 15: Advanced Machine Learning | Unsupervised Learning: Clustering Introduction to Clustering K Means Clustering Executing K Means in Python Hierarchical Clustering Business Problem Solving Introduction to Business Problem Solving Case Study Demonstrationchurn example Practice Questions Tree Models Introduction to Decision Trees Algorithms for Decision Tree Construction Hyperparameter Tuning in Decision Trees Ensembles and Random Forests Time Series Forecasting - I (BA) Introduction to Time Series Smoothing Techniques Time Series Forecasting - II (BA) Introduction to AR Models Building AR Models Model Selection Principles of Model Selection Model Building and Evaluation |
Module 16: AI- NLP, Neural Networks & Deep Learning | Introduction to NLP What is NLP? History and evolution of NLP Applications of NLP Challenges in NLP Overview of NLP pipeline Corpus and Corpus Linguistics NLTK Toolkit Introduction to the NLTK toolkit Preprocessing text data with NLTK Basic NLP tasks using NLTK (e.g., Part-ofSpeech Tagging, Named Entity Recognition) Stemming and Lemmatization WordNet in NLTK Chunking and Chinking Sentiment Analysis with NLTK Tokenization and Topic Modeling Tokenization in NLP Bag-of-Words representation Topic Modeling with LDA Latent Semantic Analysis Word Embeddings Sentiment Analysis Project: Introduction to Sentiment Analysis Sentiment Analysis using supervised and unsupervised methods Building a Sentiment Analysis model with Python Evaluating Sentiment Analysis models AI vs Deep Learning vs ML Introduction to Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL) Applications of AI, ML, and DL Differences between AI, ML and DL The Concept of Neural Networks Introduction to Neural Networks Types of Neural Networks Layers in Neural Networks Activation Functions Neural Networks - Feed-forward, Convolutional, Recurrent Feed-forward Neural Networks Convolutional Neural Networks Recurrent Neural Networks Applications of Neural Networks Deep Learning Project Building a Deep Learning model with Python Image Classification with Convolutional Neural Networks Natural Language Processing with Recurrent Neural Networks |
Data Science Projects and Assignments
Major Projects
Customer Lifetime Value Calculation: The project involves calculating the customer lifetime value using SQL to understand the revenue generated by a customer over their lifetime.
Customer Churn Prediction: This project involves building a predictive model using SQL to identify customers who are likely to churn based on their behavior and transaction history.
Interactive Dashboard for E-Commerce Sales: The project involves creating an interactive dashboard using Tableau & SQL to analyze retail sales data, identify trends, and make data-driven decisions.
Customer Segmentation Dashboard: This project involves creating a customer segmentation dashboard using Tableau to identify customer groups based on demographics, behavior, and purchasing patterns.
Movie Recommendation System: The project involves building a movie recommendation system using Python and its libraries such as Pandas, NumPy, and Scikit-Learn. The recommendation system will suggest movies based on user preferences and ratings.
Sentiment Analysis on Twitter Data: This project involves analyzing Twitter data using Python and its libraries such as NLTK and TextBlob to perform sentiment analysis and understand the overall sentiment of a particular topic.
Visualizing COVID-19 Data: The project involves visualizing COVID-19 data using Python and its libraries such as Matplotlib, Seaborn, and Plotly to understand the impact of the pandemic on different countries and regions.
Visualizing Stock Market Data: This project involves visualizing stock market data using Python and its libraries such as Pandas, Matplotlib, and Bokeh to understand the trends and patterns in stock prices over time.
Airbnb Data Analysis: The project involves performing exploratory data analysis on Airbnb data to understand the patterns in the pricing, availability, and quality of Airbnb listings in different cities.
Bike Sharing Data Analysis: This project involves performing exploratory data analysis on bike sharing data to understand the usage patterns of bikes in different cities and identify factors that influence bike usage.
House Price Prediction: The project involves building a regression model using Python and its libraries such as Scikit-Learn to predict the prices of houses based on their features such as location, size, and amenities.
Credit Risk Prediction: This project involves building a classification model using Python and its libraries such as Scikit-Learn to predict the credit risk of loan applicants based on their credit history and other factors.
Time Series Forecasting for Sales Data: The project involves building a time series forecasting model using advanced machine learning algorithms such as ARIMA and LSTM to predict future sales trends and identify factors that influence sales.
Sentiment Analysis on Product Reviews: The project involves building a sentiment analysis model using NLP techniques such as Word Embeddings and Recurrent Neural Networks (RNN) to analyze product reviews and understand the sentiment of customers towards different products.
Segmentation using Deep Learning: This project involves using advanced deep learning techniques such as Fully Convolutional Networks (FCN) and U-Net to perform image segmentation and identify objects in images.
Machine Translation using Transformers: This project involves building a machine translation model using advanced deep learning techniques such as Transformers to translate text from one language to another.
Case Studies & Assignments:
- Healthcare Customer Feedback Analysis
- Management Teams Dashboard Creation
- Retail Store Sales Report Analysis
- Software Firm Employee Data Analysis
- Industrial Data Sets Classification & Comparison
- Charts & Graphs: Frequency Distribution Table, Pie-charts, Pareto Diagram, Histogram, Scatter Plots, Heatmaps, Bar Graphs and many More.
- Patient Disease Probability Analysis Using Healthcare Data
- Car Model & Menu Item Data Combination & Configuration Probability Analysis
- Manufacturing & Product Launch Data Classification & Analysis
- Customer Complaint Resolution Analysis Using Normal Distribution Curves
- Product Rating & Employee Productivity Analysis Usign Z-Score
- New Product Need Analysis Using Hypothesis Testing
- Inventory Management & Customer Segmentation Systems Using Vlook up & Hlook Lookup
- Sales Trend & Staffing Plan Creation using Pivot Tables
- Pricing Strategy & Financial Model Creation Using What if Analysis
- Sales & Operations Dashboard Creation
- Healthcare & Construction Reporting Automation Using Macros
- Retail Sales Opportunity Analysis Using PIVOT Charts
- Accounting Firm Statement Analysis Using Sparklines & Waterfall Chart
- FMCG Marketing Spend to Sales Revenue Impact Analysis Using Regression Analysis
- Transportation Pricing Model Using Regression Analysis
Data Science Placements
100% * Placement Assistance Dedicated Placement Cell To Help You Land Your Dream Job
Data science course fees
Master Program in Data Science Fees: 30k-90k
Contact Information
Digiperform Corporate Office: C-30, Third Floor, Sector-2, Near Sec-15 Metro Station, Noida, Uttar Pradesh 201301, India
Email: contact@digiperform.com
Phone: +91-966 -755-1500
Website: www.digiperform.com
2. AnalytixLabs
AnalytixLabs, established in 2011, is an institute offering industry-relevant data analytics course in Noida and certifications. Led by years of experience data scientists and industry experts, AnalytixLabs has equipped thousands of individuals with the skills and knowledge needed to thrive in data-driven fields like data science, data engineering, and artificial intelligence.
Course Curriculum:
- Building Blocks of Data Science
- Business Analytics
- Data Visualization and Analytics
- Python for Data Science
- Advanced Data Visualization
- Predictive Modeling and Machine Learning
- Text Mining and Natural Language Processing (NLP)
Course Highlights:
- Job-oriented curriculum
- Hands-on learning
- Industry-years of experience instructors
- Placement support
- Multiple learning formats
- Certification Course
| Name | Data Science Course |
| Course Duration | 6 months |
| Website | https://www.analytixlabs.co.in/ |
| Address: | Metro Gate 3, A 78, 1st Floor, A Block, Sector 2, Noida, Uttar Pradesh 201301 |
| Avg. Google Rating: | 5 |
| Offering Data Science Training in Noida Since: | 2011 |
| Fees | INR 32000-52000 |
| Branches in India: | 3 |
| Exclusive Data Science Institute: | Yes |
| Flagship Course Names: |
|
| Training Delivery Model | Online & Offline |
3. TCA
TCA, a training services provider, offers the field of data science personalized training to meet clients’ specific needs, aiding the cultivation of crucial skills for career advancement. Our skilled professionals routinely update courses to align with industry trends, emphasizing skill and knowledge enhancement. TCA provides practical examples, confidential tips, and advice for quick comprehension. With a presence in cities like Noida, Gurgaon, Jaipur, Delhi, and Lucknow, TCA is committed to fostering success through tailored education and training.
Course Curriculum:
Foundational Concepts:
- Introduction to Data Science
- Understanding of Statistics & MySQL
- Python Programming Fundamentals
Data Management and Analysis:
- Machine Learning Fundamentals (Supervised, Unsupervised, Reinforcement)
- Data Collection & Processing
- Data Visualization Techniques (Matplotlib, Plotly)
Advanced Learning:
- Deep Learning & Neural Networks
- Natural Language Processing (NLP)
- Capstone Project: Apply your skills to solve a real-world data problem
Course Highlights:
- Comprehensive curriculum
- Hands-on learning
- Industry-relevant skills
- Experienced instructors
- Certification Course
- Career support
- Flexible learning options
| Name | Data Science Course |
| Course Duration | 6 Months |
| Website | https://www.tcaindia.in/ |
| Address: | Metro Station Noida, B-3, near Sector 15, B Block, Sector 2, Noida, Uttar Pradesh 201301 |
| Avg. Google Rating: | 5 |
| Offering Data Science Training in Noida Since: | 2019 |
| Fees | INR 20,000- 56,000 |
| Branches in India: | 5 |
| Exclusive Data Science Institute: | No |
| Flagship Course Names: | NA |
| Training Delivery Model | Online & Offline |
4. 4Achievers
4Achievers Noida Location provides a diverse range of courses, including Cloud Computing, Software Testing, Business Analytics, Full Stack Development, RPA Robotics, Networking, Civil Designing, Internship Training, Data Science, Python Training, Online Courses, and Corporate Training. These courses are designed for easy learning and come with a 100% placement guarantee. They offer students a chance to acquire a thorough understanding of Cloud Computing and related technologies, enhancing their readiness for the job market and ensuring a competitive advantage for a successful career.
Course Curriculum:
- Introduction to Data Science
- Data Collection and Preprocessing
- Exploratory Data Analysis
- Data Visualization
- Machine Learning Algorithms
- Model Evaluation and Optimization
- Applied Machine Learning
- Deep Learning
- Live Projects
- Big Data Analysis
- Data Science in Practice
Course Highlights:
- Classroom Training
- Instructor Led Online
- 1-on-1 Training
- Self Paced Training
| Name | Data Science |
| Course Duration | 3-6 Months |
| Website | https://4achievers.com/data-science-course |
| Address: | A-77, sector 2, Near Noida 15 Metro Station, Noida, 201301 |
| Avg. Google Rating: | 5 |
| Offering Data Science Training in Noida Since: | 2020 |
| Fees | INR 42,000-85,000 |
| Branches in India: | 10+ |
| Exclusive Data Science Institute: | NA |
| Flagship Course Names: | No |
| Training Delivery Model | Online & Offline |
5. CTC
CTC, now known as TrainingYA, is a leading Data Science Training Institute in Noida, led by industry professionals. They provide comprehensive Data Science courses tailored for beginners, years of experience programmers, and professionals looking to deepen their understanding of business analytics. With a focus on quality training, they are among the premier institutions dedicated to empowering individuals with sought-after skills in the data science domain.
Course Curriculum:
ADVANCE SAS TRAINING SYLLABUS
- Introduction to SAS Macro Language Elements
- Introduction to Macro Variables
- Automatic Macro Variables
- User define Macro Variables
- How Macro processing will undergo inside the SAS system
- Macro Statements
- Macro Functions
- Autocall Macros
SAS MACROS
- SAS Libraries
- Introduction to SAS Macro Language Elements
- Introduction to Macro Variables
- Automatic Macro Variables
- User define Macro Variables
- How Macro processing will undergo inside the SAS system
- Macro Statements
- Macro Functions
- Autocall Macros
ACCESSING DATA USING SQL
- Introduction to Proc SQL
- Generate detail reports by working with a single table or joining tables using PROC SQL
- Generate summary reports by working with a single table or joining tables using PROC SQL
- Inserting data into Tables
- Alter & update the tables
- Construct sub queries within a PROC SQL step
- SQL pass through Facility
- Connecting to DBMS
- Natural Joins
- Inner Joins
- Outer Joins
- Access Dictionary Tables using the SQL procedure
- Work with indexes using the macro interface/creating macro variables with SQL, defining integrity constraints
| Name | Data Science With Machine Learning |
| Course Duration | 6-12 Months |
| Website | https://www.sastrainingindelhi.com/ |
| Address: | Best Tableau & Python, Data Science, Analytics Training Institute In Noida- SAS Training In Noida, Flat number 802, 8th Floor Tower T7, Supreme towers society, Sector 99, Noida, Uttar Pradesh 201304 |
| Avg. Google Rating: | 5 |
| Offering Data Science Training in Noida Since: | 2023 |
| Fees | INR 30,000- 60,000 |
| Branches in India: | 2 |
| Exclusive Data Science Institute: | No |
| Flagship Course Names: | NA |
| Training Delivery Model | Online & Offline |
6. Data is Good
Data is Good, a leading Data Science Institute in Noida, takes pride in empowering individuals in the field of data science. Committed to excellence, they offer specialized courses catering to both beginners and years of experience professionals, aiming to enhance their business analytics skills. With industry experts at the helm, Data is Good creates a dynamic learning environment, ensuring participants gain valuable insights and expertise for success in the ever-evolving field of data science.
Course Curriculum:
- Module 1 : Python Fundamentals
- Module 2 : Data Analysis with SQL
- Module 3 : Statistics and Probability
- Module 4 : Data Analysis with Excel
- Module 5 : Python for Data Science Visualization
- Module 6 : Data Cleaning and Preparation
- Module 7 : Machine Learning (scikit)
- Module 8 : Tree Based and Boosting Models
- Module 9 : Time Series Analysis and Forecasting
- Module 10 : Natural Language Processing
- Module 11 : Deep Learning Fundamentals
- Internship Program
Course Highlights:
- 400+ Hours of Instructor-Led Training
- Dedicated Career Coach
- Live projects
- 150+ Hours of Self Paced Training
- Professional Certification Program
- 500+ Exercises and Assessment
- 24/7 Support
| Name | Data Science Job Guarantee Program |
| Course Duration | 12 Months |
| Website | https://dataisgood.com/ |
| Address: | B-75, Sector 63 Noida, 201301 Uttar Pradesh, India |
| Avg. Google Rating: | 4 |
| Offering Data Science Training in Noida Since: | 2019 |
| Fees | INR 1,50,000 |
| Branches in India: | 3 |
| Exclusive Data Science Institute: | No |
| Flagship Course Names: | NA |
| Training Delivery Model | Online |
7. Ethans Tech
Ethans offers the field of data science comprehensive training in Noida for various IT disciplines, including Python, DevOps, Selenium, Azure, Machine Learning, RPA, Data Science, and Tableau. Providing both classes and courses, Ethans ensures learners receive high-quality education in these essential technologies. From Python training to Data Science classes, Ethans is dedicated to equipping individuals with the skills needed for success in the rapidly advancing world of information technology.
Course Curriculum:
- Module 1: Introduction to Business Analytics
- Module 2: Data Handling and Manipulation
- Module 3: Python for Data Science
- Module 4: Data Visualization
- Module 5: Advanced Analytics and Machine Learning
Course Highlights:
- Classroom Sessions
- Flexi Pass
- Assignments
- Live projects
- Certification Course
- Real-life Case Studies
- Job Assistance Program
| Name | Business Analytics Classes in Noida |
| Course Duration | 50-60 hours |
| Website | https://ethans.co.in/ |
| Address: | B, 66, Sector 63 Rd, near B Block, B Block, Sector 63, Noida, Uttar Pradesh 201301 |
| Avg. Google Rating: | 5 |
| Offering Data Science Training in Noida Since: | 2015 |
| Fees | INR 35,000- 65,000 Approx |
| Branches in India: | 5 |
| Exclusive Data Science Institute: | No |
| Flagship Course Names: | NA |
| Training Delivery Model | Online & Offline |
8. Antrix Academy of Data Science
Antrix Academy of Data Science, situated in Noida, is an institution dedicated to fostering expertise in the realm of data science. With a focus on practical, hands-on learning, they offer specialized courses tailored to meet the demands of industry standards. Led by experienced professionals, Antrix Academy ensures students gain valuable insights and skills essential for thriving in the dynamic field of data science, setting them on a path towards success.
Course Curriculum:
- Introduction to Data Science – Advanced Analytics
- Effective usage of MS Excel
- Querying Database with MS SQL Server
- Understanding Statistical Values
- Data Handling with Python Programming
- Machine Learning with Python Programming
- Image Processing with Python Programming
- Natural Language Processing with NLTK
- Deep Learning with Python
| Name | Data Science + (Plus) |
| Course Duration | 6 months |
| Website | http://antrixacademy.com/ |
| Address: | Sector-15, Gautam Budh Nagar, Uttar Pradesh |
| Avg. Google Rating: | 4 |
| Offering Data Science Training in Noida Since: | 2016 |
| Fees | INR 45,000 |
| Branches in India: | 1 |
| Exclusive Data Science Institute: | No |
| Flagship Course Names: | NA |
| Training Delivery Model | Online & Offline |
9. Digikull
Digikull Data Science in Noida is committed to nurturing expertise in the field of data science. Providing specialized courses and classes, Digikull empowers learners with vital skills for success in this dynamic field. Guided by industry professionals, their comprehensive training programs encompass various topics such as Python, Machine Learning, and Data Analysis. Emphasizing practical learning and hands-on years of experience, Digikull readies individuals for fulfilling careers in the ever-evolving realm of data science.
Course Curriculum:
- Introduction To Python
- Variable, Expressions, And Statement
- Functions, Iterations, Strings
- Conditionals And Loops
- Lists, Dictionaries, Tuples
- File Handling And Operations
- OOPS
- Python For Data Analytics
- Data Visualization
- Data Manipulation With NUMPY
- Data Analysis With PANDAS
- Lists, Dictionaries, Tuples
- Matplotlib & Seaborn
- Improve Performance
- Speed Up File Loading
- Reduce Memory Usage
- SpeedUp Column Operations
- Optimize Data Filtering
Course Highlights:
- Live Interactive Sessions
- Live Practice Sessions.
- Live Projects
- Live Doubt Clearing Sessions.
- Unlimited Mock Interviews
- Certification Course
| Name | Business Analytics & Data Science |
| Course Duration | 44 Weeks |
| Website | https://digikull.com/ |
| Address: | D -32 , Sector 50, Noida Uttar Pradesh , 201301 |
| Avg. Google Rating: | 4 |
| Offering Data Science Training in Noida Since: | 2020 |
| Fees | INR 1,20,000 + GST |
| Branches in India: | 3 |
| Exclusive Data Science Institute: | No |
| Flagship Course Names: | NA |
| Training Delivery Model | Online & Offline |
10. Uncodemy
Uncodemy, comprising elite professionals from a Fortune-500 company, is dedicated to a mission of providing employment opportunities to millions. As a Data Science training institute, Uncodemy offers the field of data science courses in Business Analytics, Python Data Science, and Business Analytics. Established in 2010, Uncodemy consistently ranks as one of Noida’s premier institutes for various courses, including Data Science, Business Analytics, Java, Software Testing, Python, and Digital Marketing. Their Excellent Placement Support program ensures students are well-connected with programming organizations and equipped with the latest technologies and languages.
Course Curriculum:
Python for Data Science
- Python Basics
- Data Structure and File Operations
- Functions and Object Oriented Programming
- Working with Modules and Handling Exceptions
- Working with Modules and Handling Exceptions
- Data Manipulation using Pandas
Data Science Primer and Statistics
- Basics of Data Science
- Exploratory Data Analysis
- Feature Engineering
- Inferential Statistics & Hypothesis Testing
Machine Learning
- Linear Regression
- Logistic Regression
- KNN classifier
- Support Vector classifier
- Decision Tree Classifier
- Ensemble Learning
- Time Series Analysis
- Clustering
- Dimensionality Reduction
- Market Basket Analysis
- Deep Learning
Course Highlights:
- Learn from Scratch to Advance Standard Expert Instructors.
- Delivered by 10+ years of experience Industry Experts.
- Real World Project-Based Data Science Bootcamp.
- Affordable Fees with Best Curriculum Designed by Experts.
- Mock Interviews Sessions & Resume Building Assistance.
- They Provide EMI Facility for You 100 % Job Placement Assistance.
| Name | Data Science Course in Noida |
| Course Duration | 4-6 Months |
| Website | https://uncodemy.com/ |
| Address: | India – B 14-15 ,Udhyog Marg, Sector 1, Noida, Uttar Pradesh 201301 |
| Avg. Google Rating: | 5 |
| Offering Data Science Training in Noida Since: | 2010 |
| Fees | INR 40,000 – 80,000 |
| Branches in India: | 9 |
| Exclusive Data Science Institute: | No |
| Flagship Course Names: | NA |
| Training Delivery Model | Online & Offline |
What is Data Science and its Importance?
Data science is a multidisciplinary field that combines statistics, mathematics, computer science, and domain knowledge to extract insights and knowledge from data. It involves collecting, processing, analyzing, and interpreting large volumes of data to uncover patterns, trends, and correlations that can inform decision-making and solve complex problems.
The importance of data science lies in its ability to harness the vast amounts of data generated in today’s digital world and turn it into actionable insights. Organizations across various industries rely on data science to:
Make Informed Decisions: Data science helps organizations make evidence-based decisions by providing insights derived from data analysis rather than relying solely on intuition or past experiences.
Improve Efficiency: By analyzing data, organizations can identify inefficiencies in their processes and operations, leading to optimization and cost savings.
Enhance Customer Experience: Data science enables businesses to better understand customer behavior and preferences, leading to personalized experiences, targeted marketing campaigns, and improved customer satisfaction.
Predictive Analytics: Data science techniques such as machine learning enable organizations to forecast future trends, anticipate customer needs, and mitigate risks.
Innovation: Data science fuels innovation by uncovering new opportunities, optimizing existing products and services, and driving the development of new solutions.
Competitive Advantage: Organizations that effectively leverage data science gain a competitive edge by staying ahead of market trends, anticipating changes, and adapting quickly to new challenges.
Overall, data science plays a crucial role in driving business growth, innovation, and competitiveness in today’s data-driven world.
Who should learn Data Science in Noida?
In Noida, similar to numerous other locations worldwide, there is a growing demand for individuals equipped with data science skills. Here are several groups of individuals in Noida who might find value in acquiring data science knowledge:
IT Professionals: Those employed in the IT industry can augment their skill sets through data science learning, unlocking opportunities in data analysis, machine learning, and artificial intelligence.
Students and Graduates: Students pursuing degrees in computer science, statistics, mathematics, or related fields in Noida can enhance their marketability by acquiring data science skills, given the increasing importance of data-driven decision-making across industries.
Business Professionals: Managers, executives, and professionals in diverse industries in Noida can derive benefits from grasping data science concepts. This understanding can contribute to informed decision-making and the formulation of effective business strategies.
Researchers and Academics: Professionals engaged in research or academics in Noida can leverage data science for comprehensive data analysis and interpretation, applicable across various disciplines such as social sciences, biology, and environmental studies.
Entrepreneurs: Individuals aspiring to establish their businesses in Noida can leverage data science to gain insights into market trends, customer behavior, and optimize business processes.
Government Employees: Those employed in government departments in Noida can apply data science for policy analysis, resource optimization, and enhancing public services.
Healthcare Professionals: In the healthcare sector of Noida, data science can be applied for medical research, predictive analytics, and improving patient care.
Finance and Banking Professionals: Professionals in the finance and banking sector in Noida can employ data science for risk assessment, fraud detection, and refining investment strategies.
Marketing and Sales Professionals: Marketing and sales professionals in Noida can leverage data science for customer segmentation, targeted marketing, and sales forecasting.
Technology Enthusiasts: Individuals in Noida with a general interest in technology and a curiosity about data-driven insights can find learning data science to be a rewarding and intellectually stimulating experience.
Why should you study Data Science?
Exploring data science presents a myriad of compelling reasons, underscoring its escalating significance across diverse industries. Here are pivotal motivations for considering the pursuit of data science studies:
Surging Demand for Data Professionals: The demand for proficient data scientists is substantial and continually rising across sectors. Organizations actively seek skilled individuals capable of deciphering intricate data to guide strategic decision-making.
Lucrative Career Prospects: Data science roles often command attractive salaries due to the scarcity of professionals possessing these sought-after skills. The specialized nature of data science expertise renders individuals in this field highly valuable to employers.
Versatility and Broad Applicability: Data science skills find relevance across a spectrum of industries including healthcare, finance, marketing, and technology. This adaptability offers opportunities to engage in diverse domains and tackle a variety of challenges.
Influence on Decision-Making Processes: Mastery of data science empowers individuals to extract meaningful insights from vast datasets. Professionals in this field contribute significantly to informed decision-making within organizations, influencing strategies and outcomes.
Driving Innovation and Technological Progress: Data science stands at the forefront of technological innovation. Immersing oneself in this field allows participation in cutting-edge advancements in machine learning, artificial intelligence, and business/data analytics.
Tackling Complex Problems: Data science entails addressing intricate problems by leveraging statistical methods, programming, and domain knowledge. For those inclined towards solving challenging puzzles and deciphering complex data, data science offers a gratifying career path.
Contribution to Research and Progress: Data scientists play a pivotal role in research, contributing to advancements in healthcare, environmental science, social sciences, and beyond. The impact of their work extends to society and scientific development.
Continuous Learning and Evolution: The dynamic nature of data science necessitates continuous learning. Professionals in this domain are encouraged to stay abreast of the latest tools, techniques, and methodologies, fostering a culture of ongoing improvement.
Global Relevance: Data science is a universally relevant skill. Whether opting to work locally or exploring opportunities abroad, the demand for data science expertise is pervasive.
Entrepreneurial Prospects: Data science skills are conducive to entrepreneurial pursuits. Whether aspiring to establish a data-driven business or contributing to the growth of existing startups, data science provides a robust foundation for innovation.
Enhanced Analytical Problem-Solving: Engaging in data science studies enhances analytical problem-solving abilities, enabling individuals to approach problems systematically, break them down into manageable components, and develop effective solutions. These skills extend beyond professional realms, proving valuable in various aspects of life and work.
Career Scope in Data Science in Noida
The increasing demand for data science professionals in Noida reflects the growing importance of data-driven decision-making across various industries. Here’s a summary of the key insights regarding the data science career landscape in Noida:
IT and Technology Industry: Noida’s thriving IT sector requires data scientists to analyze large datasets, create algorithms, and implement machine learning solutions, contributing to product and service enhancement.
Healthcare Sector: Data science applications, such as predictive analytics, optimization of operations, and medical research, can improve healthcare outcomes and decision-making in Noida’s healthcare industry.
Education and Research: Educational institutions in Noida increasingly integrate data science for research projects, data analysis, and optimization of educational processes.
Finance and Banking: Financial institutions leverage data science in Noida for risk management, fraud detection, and customer analytics, influencing sound financial decision-making.
Manufacturing and Industrial Sectors: Data science optimizes manufacturing processes, predictive maintenance, and supply chain management in Noida’s manufacturing and industrial sectors, enhancing operational efficiency.
Government and Public Services: Noida’s government departments utilize data science for data-driven policy-making, resource allocation, and improving public services.
Marketing and E-Commerce: The growth of e-commerce and digital marketing in Noida leads to a demand for data scientists to analyze consumer behavior, optimize marketing strategies, and enhance customer experiences.
Startups and Entrepreneurship: Noida’s startup ecosystem benefits from data science skills, enabling entrepreneurs to make data-driven decisions, innovate, and gain a competitive edge.
Consulting Firms: Consulting firms in Noida hire data scientists to provide insights across various industries, emphasizing the value of analyzing data and offering strategic recommendations.
Telecommunications: The telecommunications industry in Noida utilizes data science for network optimization, improving customer experiences, and predictive maintenance.
Data Science Course Certification : Digiperform
Digiperform’s certification is highly esteemed within the industry, reflecting our extensive expertise and esteemed clientele across India and beyond. As the leading Data Science institute in Noida, we prioritize upholding the integrity of our certification process.
Our certificates are granted solely upon the completion and equitable assessment of mandatory project work, underscoring a commitment to hands-on learning and skill refinement over a simple pass/fail system.
We actively encourage students to seek assistance for project enhancement if necessary, with a strict prohibition against plagiarism during evaluation.
Although assignments and projects aren’t graded on a pass/fail basis, assessments from external sources may vary in their criteria. Furthermore, our dual certification programs may involve evaluations conducted by industry partners.
Our overarching goal is to furnish students with practical experience, thereby empowering them to shine in job interviews and excel in their professional journeys.
Mastering Data Science Tools
Digiperform’s ‘Mastering Data Science Tools’ course equips individuals with proficiency in Python, R programming, and advanced machine learning techniques. This practical program empowers participants to address real data challenges, enhancing their skills for a successful career in the dynamic field of data science.
Data Science Salaries for Freshers in Noida
Noida, a hub for IT and IT-enabled services, offers promising opportunities for aspiring data scientists. Here’s an overview of data science salaries for freshers in Noida, along with a table summarizing key points:
Average Salary Range:
- Freshers in Noida can expect an average annual salary range of ₹4.5 Lakhs to ₹6 Lakhs
Salary and Job Profile Table:
| Job Profile | Description | Average Annual Salary Range |
| Junior Data Analyst | Assists senior data scientists with data collection, cleaning, and analysis. Prepares reports and visualizations. | ₹3.5 Lakhs – ₹4.5 Lakhs |
| Data Engineer | Develops and maintains data pipelines for data collection, storage, and processing. | ₹4.5 Lakhs – ₹5.5 Lakhs |
| Business Intelligence Analyst | Analyzes business data to identify trends, patterns, and insights to support decision-making. | ₹4.5 Lakhs – ₹5.5 Lakhs |
| Machine Learning Engineer | Builds and deploys machine learning models for various applications. | ₹5.0 Lakhs – ₹6.0 Lakhs |
Important Note:
- The salary figures are estimates and can vary based on the specific factors mentioned earlier (skills, education, company, etc.).
- This information should be used as a general guide and not a guarantee of your individual earning potential.
By actively developing your skills and understanding the various factors influencing salary, you can position yourself well for a rewarding career in data science within the thriving Noida market.
Additional Tips:
- Build a strong portfolio: Showcase your data science capabilities through personal projects, open-source contributions, or participation in data science competitions.
- Network with professionals: Connect with data scientists in Noida through online forums or professional meetups to gain valuable insights into the job market and potential employers.
- Stay updated: Continuously learn and keep yourself updated with the latest advancements in the field to maintain your marketability.
Current Job Openings in Data Science in Noida
In Noida, an exciting job market awaits individuals passionate about pursuing a career in data science. Numerous companies actively seek talented professionals to leverage their skills and make significant contributions in the data field. Whether you’re a newcomer or an experienced expert, Noida’s vibrant job landscape in data science offers diverse opportunities. If you thrive on coding, statistics, or enjoy unraveling puzzles through data analysis, you’re likely to find a suitable job opening that matches your expertise.
To stay abreast of the latest job opportunities, it’s advisable to regularly browse through job portals, explore company websites, and engage in networking events. Noida’s burgeoning tech community ensures a wealth of job openings in data science, presenting abundant prospects for those eager to immerse themselves in the realm of data-driven insights. Keep an eye on platforms like Naukri.com ,Linkedin.com, Indeed.com, and others to remain informed about potential opportunities.
FAQs: Data Science Course
What should I look for in a Noida data science course? What are the most important factors?
Look for a Noida data science course with comprehensive curriculum, hands-on projects, year of experience instructors, industry relevance, placement assistance, and positive reviews. Verify accreditation and ensure flexibility to suit your schedule.
How long does the Noida Data Science course last?
The duration of the Noida Data Science course varies depending on the specific program or institute. Courses typically last between 11 months, with variations in curriculum and intensity.
After finishing a data science course in Noida, can I get help with placement?
Certainly! Digiperform provides comprehensive support for placement after completing their data science course in Noida. With a strong network of industry connections, career guidance, and placement assistance, Digiperform is committed to helping you secure relevant job opportunities in the field of data science.
What topics are included in the courses and how are they organized?
Courses cover diverse topics, such as statistics, programming languages like Python, machine learning, data visualization, and industry applications. They are organized into modules with lectures, readings, assignments, and hands-on projects. This structure ensures a comprehensive understanding of theoretical concepts years of the field of data science and practical skills in various domains.
Are there any financial help or scholarships offered for data science courses in Noida?
At Digiperform, we offer various financial aid options and scholarships for our data science courses in Noida. These opportunities aim to make quality education accessible to all aspiring learners. Please reach out to our admissions team for more information on available assistance programs.
Could you please provide more context or specify what you mean by "faculty" at Digiperform? Are you referring to the teaching staff, the quality of instruction, or something else?
Certainly! When I mention "faculty" at Digiperform, I'm referring to the teaching staff. They're experienced industry professionals in data science, ensuring that the education provided is of high quality and offering practical insights into real-world applications.
Will I get a certificate after finishing the Data Science program at Digiperform?
Yes, upon completing the Data Science program at Digiperform, you will receive a certificate. This certification validates your successful completion of the course and signifies your proficiency in Data Science. It serves as a recognition of your skills and knowledge gained during the program, enhancing your credibility in the field.
