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Data Science Courses In Chandigarh
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Top 10 Data Science Courses in Chandigarh with Placement
Welcome to our list of the Top 10 Data Science Institutes in Chandigarh!
Nestled in the foothills of the Himalayas, Chandigarh, aptly nicknamed “The City Beautiful,” is a feast for the senses. Designed by the renowned architect Le Corbusier, it’s a unique blend of planned modernity and natural beauty, boasting stunning architecture, sprawling gardens, and a vibrant cultural scene.
In the vibrant city of Chandigarh, where contemporary living intertwines with urban dynamism, the soaring demand for proficiency in data science is evident. As Chandigarh’s businesses strive to harness data for strategic decisions, the need for skilled data science professionals in the field has surged significantly. In response, Chandigarh now offers a diverse range of data science courses, enabling individuals to delve into analytics, machine learning, and data-driven insights.
Chandigarh’s landscape, characterized by technological advancements and modern infrastructure, creates a distinctive backdrop for those entering the realm of data science. The educational system in Chandigarh has adapted to offer specialized courses catering to both beginners and experienced data science professionals seeking to enhance their skills.
These courses, facilitated by state-of-the-art facilities and experienced instructors, not only provide technical knowledge but also integrate the learning experience with the local business environment. As Chandigarh establishes itself as a center for data-centric innovation, these data science courses play a crucial role in shaping a future workforce ready to navigate the complexities of data analytics in this bustling city.
Comparison Chart: Top 10 Data Science Courses in Chandigarh with Placement.
If you’re looking for reliable and precise details about Data Science Courses in Chandigarh , you’ve come to the correct source. Discover the optimal choices for your educational path 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 | Theta Academy | Online/ Offline | 2017 | INR 35,000-65,000 Approx | 100% |
| 3 | Techedo | Online/ Offline | 2011 | INR 300,000 | 100% |
| 4 | The Core Systems | Offline | 2001 | INR 7,500-50,000 | 100% |
| 5 | Edureka Learning Center | Online/ Offline | 2019 | INR 45,000-85,000 | 100% |
| 6 | QUASTECH | Online/ Offline | 2020 | INR 15,000-45,000 | 100% |
| 7 | Coding Wizardz | Offline | 2015 | INR 25,000-55,000 | 100% |
| 8 | CBitss | Online/ Offline | 2014 | INR 50,000- 1,50,000 | 100% |
| 9 | CNT | Online/ Offline | 2010 | INR 35,000-65,000 | NA |
| 10 | Piford Technologies Pvt Ltd | Online/ Offline | 2009 | Depend on the course | 100% |
What is Data Science and its Importance?
Data Science is a multidisciplinary field that involves extracting insights and knowledge from large volumes of structured and unstructured data. It encompasses various techniques from statistics, mathematics, and computer science to analyze and interpret complex data sets.
The importance of Data Science lies in its ability to help organizations make informed decisions, identify patterns, and gain valuable insights from data. It plays a crucial role in solving complex problems and improving decision-making processes across various industries. By leveraging data science techniques, businesses can enhance their efficiency, optimize operations, and gain a competitive edge.
In essence, Data Science is vital for extracting meaningful information from vast datasets, leading to better-informed decisions and driving innovation in today’s data-driven world.
Top 10 Data Science Courses in Chandigarh
1. Digiperform
Digiperform stands out as the largest training provider in India, specializing in digital skills. Our courses are meticulously curated and regularly updated by a team comprising more than 50 experts in the realm of digital marketing. To ensure comprehensive content, we incorporate insights and suggestions from 450 seasoned professionals representing companies throughout Asia.
Why Choose Digiperform Online Data Science Course?
We provide the premier Data Science Training Program in India, crafted to launch your career in data science. Engage in 75+ projects and assignments spanning Statistics, Advanced Excel, SQL, Python Libraries, Tableau, Advanced Machine Learning, and Deep Learning. These assignments mirror practical data challenges in sectors such as healthcare, manufacturing, sales, media, marketing, and education. Our training equips you for more than 30 diverse job roles.
Data Science Online Course: Advantages
Enrolling in an online data science course offers numerous advantages. Firstly, you can learn from the comfort of your home, saving both time and money on commuting. These courses typically offer flexible schedules, allowing you to study at your convenience. They provide abundant resources such as videos and quizzes to facilitate learning. Interaction with fellow students and experts through online platforms enables you to ask questions and seek assistance. The most rewarding aspect is that upon course completion, you’ll acquire new skills opening up exciting job opportunities in the field of data science.
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: +91-8527-611-500
Website: www.digiperform.com
2. Theta Academy
Theta Academy is a data science academy dedicated to cultivating the next generation of analytical minds. Their comprehensive programs seamlessly integrate theoretical knowledge with hands-on experience, empowering students with the skills essential for success in the dynamic field of data science. Guided by industry experts, their curriculum emphasizes cutting-edge technologies and real-world applications, guaranteeing that graduates are thoroughly prepared for prosperous careers in data-driven industries.
Course Curriculum:
- Introduction to Data Science and AI
- Mathematics and Statistics for Data Science
- Programming for Data Science
- Machine Learning
- Deep Learning
- Big Data and Cloud Computing
- Data Visualization and Communication
- Ethics and Responsible AI
- Capstone Project
| Name | DATA SCIENCE / AI |
| Course Duration | 6-12 Months |
| Website | https://thetacademy.com/ |
| Address: | Cabin No. 413, SCO 107-108-109, 4th Floor, Sector 34-A, Chandigarh, 160022 |
| Avg. Google Rating: | 5 |
| Offering Data Science Training in Chandigarh Since: | 2017 |
| Fees | INR 35,000-65,000 Approx |
| Branches in India: | 1 |
| Exclusive Data Science Institute: | NO |
| Flagship Course Names: | NA |
| Training Delivery Model | Online & Offline |
3. Techedo
Techedo Data Science Academy is a cutting-edge institution dedicated to empowering aspiring data scientists with the skills and knowledge needed in today’s dynamic tech landscape. Through comprehensive courses and hands-on training, students gain proficiency in data analysis, data engineer, machine learning, and statistical modeling. Their expert instructors and industry-aligned curriculum ensure a transformative learning experience, equipping graduates to excel in the rapidly evolving field of data science.
Course Curriculum:
- Basic statistics
- Data gathering skill
- Data analytics software
- Working with financial statements
- Mathematics
- Probability and data projection
Course Highlights:
- Master in-demand skills
- Learn from industry experts
- Project-based learning
- Flexible learning options
- Career support
| Name | Data Analyst Course In Chandigarh |
| Course Duration | 6 Months |
| Website | https://techedo.com/Data-analyst-course-chandigarh.php |
| Address: | SCO 134-135-136 FIRST FLOOR ABOVE AXIS BANK SECTOR 34-A CHANDIGARH |
| Avg. Google Rating: | 5 |
| Offering Data Science Training in Chandigarh Since: | 2011 |
| Fees | INR 300,000 |
| Branches in India: | 1 |
| Exclusive Data Science Institute: | No |
| Flagship Course Names: | NA |
| Training Delivery Model | Online & Offline |
4. The Core Systems
The Core Systems Data Science Academy is an institution committed to cultivating expertise in data science. Its extensive curriculum spans fundamental concepts to advanced techniques, providing students with hands-on projects and guidance from expert instructors. The program equips participants with practical skills in data analysis, data engineer, machine learning, and other critical areas, ensuring they are well-prepared for the dynamic field of data science.
Course Curriculum:
Module 1: Introduction to Data Science
- What is data science?
- The data science life cycle
- The three key components of data science: data acquisition, data analysis, and data interpretation
Module 2: Python Programming
- Introduction to Python
- Data structures and algorithms
- Working with data in Python
Module 3: Statistics and Probability
- Descriptive statistics
- Inferential statistics
- Probability
Module 4: Data Analysis with Pandas
- Introduction to Pandas
- Data manipulation with Pandas
- Data cleaning with Pandas
Module 5: Machine Learning
- Introduction to machine learning
- Supervised learning
- Unsupervised learning
Module 6: Big Data and Advanced Techniques
- Introduction to distributed computing and Apache Hadoop
- Handling large datasets with Apache Spark
- Deep learning and neural networks
- Natural Language Processing (NLP) and sentiment analysis
Course Highlights:
- Industry-standard curriculum
- Expert instructors
- Hands-on learning
- Career support
| Name | Data Science Courses In Chandigarh |
| Course Duration | 6 Months |
| Website | https://python-machine-learning-data-science-ai.business.site/ |
| Address: | Caddprimer , 3rd floor , sco 199-200 ,Sector 34A Chandigarh, 160022 India |
| Avg. Google Rating: | 5 |
| Offering Data Science Training in Chandigarh Since: | 2001 |
| Fees | INR 7,500-50,000 |
| Branches in India: | 1 |
| Exclusive Data Science Institute: | No |
| Flagship Course Names: | NA |
| Training Delivery Model | Offline |
5. Edureka Learning Center
Edureka Learning Center’s Data Science Institutes in Chandigarh is dedicated to cultivating skilled data scientists. The academy boasts cutting-edge facilities and a team of expert faculty members, offering a thorough training program in data science. Topics covered include machine learning, data analysis, data engineer, and programming. Students gain practical experience through hands-on learning, real-world projects, and a curriculum aligned with industry requirements, ensuring their readiness for success in the ever-evolving field of data science.
Course Curriculum:
- Python Programming
- Data Analysis and Visualization
- Statistical Foundations
- Supervised and Unsupervised Machine Learning
- Model Optimization
- Data Visualization using tools like Tableau
Course Highlights:
- Faculty-led Blended Training
- 24X7 faculty support for doubts
- Practical Learning
- Unique Pedagogy
- Placement Assistance
| Name | Data Science Course in Chandigarh |
| Course Duration | 3-6 Months |
| Website | https://edurekalearningindia.in/ |
| Address: | 3rd floor, SCO 198, Sector 34B, Sector 34, Chandigarh, 160034 |
| Avg. Google Rating: | 5 |
| Offering Data Science Training in Chandigarh Since: | 2019 |
| Fees | INR 45,000-85,000 |
| Branches in India: | 1 |
| Exclusive Data Science Institute: | No |
| Flagship Course Names: | NA |
| Training Delivery Model | Online & Offline |
6. QUASTECH
QUASTECH (Future through Innovation), founded by Mrs. Navdeep Kaur, aims to deliver outstanding and proficient professionals to the IT industry. The focus is on candidates with a strong command of Software Technology. QUASTECH provides unique and professional training for both graduates and postgraduates, specializing in real-time industry training with an additional advantage of domain knowledge. The goal is to empower individuals with the skills and expertise needed to excel in the ever-evolving IT landscape.
Course Curriculum:
- Advanced Data Wrangling with Pandas and Numpy
- Advanced Data Visualization with Plotly and Bokeh
- Advanced Statistics and Hypothesis Testing with Python
- Time Series Analysis with Python
- Natural Language Processing with Python
- Machine Learning with Python
- Deep Learning with Tensor Flow and Keras
- Big Data and Distributed Computing with PySpark
- Power BI
| Name | ADVANCED DATA SCIENCE WITH PYTHON COURSE |
| Course Duration | 6-12 Months |
| Website | https://www.quastech.in/ |
| Address: | SCF 62, Third Floor, Phase 7, Sector 61, Sahibzada Ajit Singh Nagar, Punjab 160062 |
| Avg. Google Rating: | 5 |
| Offering Data Science Training in Chandigarh Since: | 2020 |
| Fees | INR 15,000-45,000 |
| Branches in India: | 3 |
| Exclusive Data Science Institute: | No |
| Flagship Course Names: | NA |
| Training Delivery Model | Online & Offline |
7. Coding Wizardz
Coding Wizardz focuses on innovative, industry-oriented techniques. They’ve removed common obstacles from programming languages that often trouble students. They guarantee a notable improvement in your understanding within just 10 classes. It’s a fair deal; give it a try. After attending our classes, you won’t say you dislike coding anymore; you’ll love it in just a few days. Their courses cover a wide range, including Data Science, Data engineer, Cyber Security, Linux, Python, C, C++, PHP, Algorithms, Data Structures, Computer Networks, Penetration Testing, Digital Marketing, WordPress, and more.
Course Curriculum:
- Introduction to Programming and Python
- Some Amazing Python Programs
- Comments, Escape Sequences and Print Statement
- Variables and Data Types
- Typecasting in Python
- Taking user input in Python
- Strings in Python
- Strings slicing and Operations on Strings in Python
- String Methods in Python
- List Methods in Python
- Tuples in Python
- Recursion in Python
- Sets in Python
- Set Methods in Python
- Dictionaries in Python
- Dictionary Methods in Python
- For loop with else in Python
- Exception Handling in Python
- Finally keyword in Python
- Raising custom errors in Python
- Short hand if else statements in Python
- Enumerate Function in Python
- Virtual Environment in Python
- How import works in Python
- OS module in Python
Course Highlights:
- Course completion certificate
- Course material
- Course resources
- Practical exercises
- Quizzes
- Assignments
| Name | Python |
| Course Duration | 2 Months |
| Website | https://www.codingwizardz.com/ |
| Address: | H no. 222/2, Sector 40A, Block A, Chandigarh, 160036 |
| Avg. Google Rating: | 5 |
| Offering Data Science Training in Chandigarh Since: | 2015 |
| Fees | INR 25,000-55,000 |
| Branches in India: | 1 |
| Exclusive Data Science Institute: | No |
| Flagship Course Names: | NA |
| Training Delivery Model | Offline |
8. CBitss
CBitss Data Science Institutes in Chandigarh is an institute offering comprehensive training in data science. With a focus on practical skills and industry-relevant curriculum, CBitss equips students with the knowledge and expertise needed to excel in the dynamic field of data science. The academy boasts experienced faculty, state-of-the-art facilities, and a commitment to fostering a learning environment that prepares individuals for success in the rapidly evolving world of data analytics.
Course Curriculum:
- Python Learning & Django
- Data Analytics Overview
- Master Data Preprocessing
- Python Environment Setup & Essentials
- Take in Data Manipulation
- Statistical Analysis & Business Application
- Work around Mathematical Computing
- Get started with Machine Learning
- Learning Natural language Processing
- Work around Data Visualisation
- Learn Web Scraping
- Hadoop & spark integration
Course Highlights:
- Industry & Career Oriented Training
- Hands-on Practical Learning
- Interview Preparation Sessions
- Globally Recognised Certification
| Name | Data Science Mastery & Data Analytics |
| Course Duration | 3-6 Months |
| Website | https://www.cbitss.in/ |
| Address: | Sukrala IT Services Pvt. Ltd. SCO 23-24-25, Level 3rd, SEC 34-A, Chandigarh. |
| Avg. Google Rating: | 5 |
| Offering Data Science Training in Chandigarh Since: | 2014 |
| Fees | INR 50,000- 1,50,000 |
| Branches in India: | 1 |
| Exclusive Data Science Institute: | No |
| Flagship Course Names: | NA |
| Training Delivery Model | Online & Offline |
9. CNT
CNT Technologies has been a key player in professional training and IT-enabled services since 2010. Over the years, we have assisted numerous individuals and clients in effortlessly enhancing their organizational and professional capabilities.
Specializing in six months of industrial training in Chandigarh, CNT Technologies excels in various fields such as Python, Data Science, Machine Learning, JAVA, Android C/C++, PHP, and Cloud Courses, including AWS Solution Architect & SysOPS, Microsoft Azure Certification, and G-Cloud. Additionally, we provide training in networking solutions like MCSA Server 2016, CCNA, Linux & Cyber Security, as well as web designing, digital marketing, SEO marketing, and software testing.
Course Curriculum:
Data Fundamentals:
- Introduction to data analytics
- Data types and sources
- Data collection and cleaning
Data Analysis:
- Descriptive statistics and visualization
- Data manipulation with tools like Excel or Python
- Data exploration and interpretation
Predictive Analytics:
- Machine learning basics (supervised & unsupervised)
- Model building and evaluation
- Data storytelling and communication
| Name | Data Analytics |
| Course Duration | 6-12 Months |
| Website | http://www.cnttech.org/ |
| Address: | S.C.O. 80-81-82, 3rd Floor, Backside of Piccadily Theatre, Sector 34A, Chandigarh, 160022 |
| Avg. Google Rating: | 5 |
| Offering Data Science Training in Chandigarh Since: | 2010 |
| Fees | INR 35,000-65,000 |
| Branches in India: | 1 |
| Exclusive Data Science Institute: | No |
| Flagship Course Names: | NA |
| Training Delivery Model | Online & Offline |
10. Piford Technologies Pvt Ltd
Piford Technologies (P) Ltd stands as a prominent “Software Development & Training Company” with a presence in IT Park, Sec-67, Mohali. Our global outreach extends to Business Development Offices in the USA, UK, Canada, Austria, and beyond.
Specializing in Mobile Application Development, Web Development, Data Sciences, Big Data, Python, Cyber Security, Artificial Intelligence, S/W Testing, and Web Designing, Piford Technologies boasts a team of experts comprising corporate data science professionals from leading universities and MNCs.
We provide students, job seekers, and working professionals the opportunity to engage in real-life projects, gaining hands-on experience aligned with industry standards. Piford Certifications hold global recognition.
Course Curriculum:
- Datatypes
- Functions and Modules
- Classes and Objects
- Access Specifiers
- Inheritance and Polymorphism
- File Handling
- Multithreading
- GUI Programming
- Database
- CGI Programming
- Socket Programming
- Socket Programming
- Framework
- Django
| Name | Python Training in Mohali |
| Course Duration | 3-6 Months |
| Website | https://www.piford.com/ |
| Address: | IT Park, Sector 67, SAS Nagar, Mohali (Chandigarh), Punjab – 160062 , INDIA |
| Avg. Google Rating: | 4 |
| Offering Data Science Training in Chandigarh Since: | 2009 |
| Fees | Depend on the course |
| Branches in India: | 3 |
| Exclusive Data Science Institute: | No |
| Flagship Course Names: | NA |
| Training Delivery Model | Online & Offline |
Who should learn Data Science in Chandigarh?
Curious about who should venture into the realm of Data Science in Chandigarh? Well, anyone intrigued by unraveling the secrets hidden in data is welcome! Whether you’re a student keen on delving into the tech landscape, a professional aiming to enhance your skills, or someone transitioning careers, Data Science is suitable for you. If you derive satisfaction from solving puzzles and aspire to transform raw data into valuable insights, this field is your playground. In Chandigarh, where the tech scene is vibrant, learning Data Science can unlock doors to a range of exciting opportunities. So, whether you come from the IT sector or another field, if the prospect of exploring and interpreting data piques your interest, it’s time to embrace Data Science in Chandigarh!
Why should you study Data Science?
Studying Data Science offers numerous compelling reasons. First and foremost, it equips you with the skills to extract valuable insights from vast and complex datasets, making you an asset in today’s data-driven world. The demand for data scientists is consistently high across various industries, translating into diverse and lucrative career opportunities.
Data Science also provides the chance to contribute to innovation and problem-solving by leveraging advanced statistical and computational techniques. It empowers individuals to make informed decisions, optimize processes, and drive efficiency within organizations.
Furthermore, the field of Data Science is dynamic, continually evolving with advancements in technology. Engaging in Data Science education ensures that you stay relevant and adaptable in the ever-changing landscape of the tech industry.
In summary, studying Data Science not only opens doors to exciting career paths but also allows you to be at the forefront of technological advancements, making meaningful contributions to the way we understand and utilize data.
Career Scope in Data Science in Chandigarh
Contemplating a career in Data Science in Chandigarh? It’s an excellent decision! In Chandigarh, the career prospects for Data Science are flourishing. You can secure compelling positions and engage in fascinating data-related endeavors. Whether you’re a recent graduate or already employed, delving into Data Science opens doors to thrilling possibilities. You become the go-to expert, aiding businesses in making intelligent decisions through the magic of data.
No worries if you’re not a tech expert; it’s accessible to everyone and applicable in diverse fields like healthcare, finance, or sports. The exciting part? You become a problem solver and a bit of a data detective. Given Chandigarh’s prominence in technology, immersing yourself in Data Science can lead to exciting professional journeys. So, if you’re ready for a blend of enjoyment, challenges, and tangible contributions, Data Science in Chandigarh is the path to pursue!
Mastering Data Science Tools
Embark on an exciting exploration of the data science domain with Digiperform’s course, ‘Mastering Data Science Tools.’ This program extensively covers Python, R programming, and advanced machine learning techniques, enabling you to glean valuable insights from data.
Develop practical skills in deploying tools highly in demand across industries, enabling you to address real-world data challenges effectively. Enhance your capabilities and expand your professional opportunities in the dynamic field of data science with Digiperform’s hands-on and comprehensive curriculum.
Data Science Salaries for Freshers in Chandigarh
Chandigarh, a prominent IT hub in North India, offers promising career paths for aspiring data scientists. Here’s an overview of data science salaries for freshers in Chandigarh, including a table summarizing key details and job profiles:
Average Salary Range:
- Freshers in Chandigarh can expect an average annual salary range of ₹4 Lakhs to ₹5.5 Lakhs
Salary and Job Profile Table:
| Job Title | Description | Average Annual Salary |
| Junior Data Analyst | Assists senior data scientists with data collection, cleaning, and analysis. Prepares reports and visualizations. | ₹3.5 Lakhs – ₹4.5 Lakhs |
| Data Analyst | Gathers, analyzes, and interprets data to solve business problems. Creates reports and dashboards to communicate insights. | ₹4.5 Lakhs – ₹5.5 Lakhs |
| Business Intelligence Analyst | Uses data analysis techniques to identify trends and patterns to inform business decisions. Prepares reports and recommendations for stakeholders. | ₹4.8 Lakhs – ₹5.8 Lakhs |
| Machine Learning Engineer (Entry-Level) | Develops and implements machine learning models for various applications. Requires strong programming skills and knowledge of machine learning algorithms. | ₹5 Lakhs – ₹6 Lakhs |
Factors Affecting Salary:
Several factors can influence your starting salary in Chandigarh:
- Skills and Expertise: Proficiency in programming languages like Python and R, familiarity with data analysis tools and machine learning libraries, and expertise in specific domains can significantly impact your earning potential.
- Educational Background: A Master’s degree in relevant fields like Statistics, Computer Science, or Mathematics can be advantageous.
- Company Reputation: Multinational corporations and established IT firms generally offer higher salaries compared to startups.
- Experience: Even a few months of internship experience can make you a more attractive candidate and potentially command a higher salary.
- Negotiation Skills: Effectively communicating your skills and experience during the interview process can play a crucial role in securing a desired salary package.
Additional Tips:
- Build a Strong Portfolio: Showcase your data science capabilities through personal projects, contributions to open-source projects, or participating in data science competitions.
- Network with Professionals: Connect with data scientists in Chandigarh through online forums or professional meetups to gain insights into the job market and potential employers.
- Stay Updated: Continuously learn and keep yourself updated with the latest advancements in data science to stay relevant in the job market.
By actively developing your skillset, understanding the various factors influencing salary, and strategically presenting your qualifications, you can position yourself for a successful data science career in Chandigarh.
Remember: The salary figures are estimates and can vary based on the specific factors mentioned above. Use this information as a general guide and not a guarantee of your individual earning potential.
Current Job Openings in Data Science in Chandigarh
Exploring job opportunities in Data Science in Chandigarh? Well, here’s some good news – there’s a plethora of openings eagerly awaiting skilled individuals like yourself! Numerous companies in Chandigarh are actively seeking Data Scientists to decipher the concealed insights within data. Whether your expertise lies in coding, trend analysis, or crafting machine learning solutions, there’s a job tailored for you.
From well-established tech companies to dynamic startups, the city’s job market is brimming with potential. So, if you’re prepared to dive into the Data Science realm, Chandigarh presents an open door to promising career prospects! You can explore job listings on websites like Naukri.com, Linkedin.com, Indeed.com, and more.
FAQs: Data Science Course
What sets apart Digiperform's Data Science courses from others in the market?
Digiperform's Data Science courses stand out in the market due to their distinctive features. Firstly, the curriculum is meticulously crafted, covering the latest industry trends and technologies, ensuring that students receive up-to-date knowledge. Secondly, the courses emphasize hands-on practical learning, allowing participants to apply theoretical concepts in real-world scenarios. Additionally, Digiperform integrates industry-relevant case studies and projects, providing a comprehensive understanding of how data science is applied in different domains. The inclusion of experienced instructors and personalized mentorship further enhances the learning experience, setting Digiperform apart in delivering quality education in the field of Data Science.
What type of assistance do students enrolled in Digiperform's Data Science course receive both during and after the program?
Digiperform is dedicated to offering extensive assistance to our Data Science students. Throughout the program, you will have the guidance of seasoned mentors, participation in live sessions, and an environment that encourages collaborative learning. Post-completion, our alumni network, support in job placement, and regular updates on industry trends guarantee sustained assistance as you venture into your Data Science career.
What certifications are provided upon the successful completion of a Data Science course at Digiperform?
Upon successfully finishing a Data Science course with Digiperform, you will obtain an industry-recognized certification in data science. These certificates affirm your proficiency in Data Science, elevating your attractiveness in the job market. Our courses are regularly revised to stay in sync with industry norms, guaranteeing the continued relevance and significance of your data science certification.
How can I keep myself informed about the most recent advancements in Data Science after finishing a course with Digiperform?
At Digiperform, we foster a culture that values ongoing education. Upon finishing your course, you'll gain entry to our alumni network, exclusive webinars, and regularly updated content. Our blog and social media platforms deliver a continuous flow of valuable insights, ensuring you stay informed about the latest developments and trends in the ever-evolving realm of Data Science.
