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Data Science Courses In Nashik
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Top 8 Data Science Courses in Nashik with Placement
Welcome to our list of the Top 8 Data Science Course Institutes in Nashik!
Nashik is a city in the northern region of the Indian state of Maharashtra. Situated on the banks of the river Godavari, is renowned for its rich cultural heritage, historical significance, and vibrant festivals.
Nashik is evolving beyond its traditional roots, becoming a hub for technological advancements, including the promising field of data science. As the city embraces digital transformation, the future of data science in Nashik appears promising. With a growing emphasis on technology-driven solutions, industries in Nashik are recognizing the importance of harnessing data to make informed decisions, optimize processes, and drive innovation.
The emergence of educational institutions and training programs in Nashik focused on data science indicates a rising interest in nurturing local talent for this evolving field. This shift towards data-centric approaches is likely to propel Nashik into a prominent role in the tech landscape.
As the city paves the way for a data-driven future, the convergence of traditional charm and technological progress positions Nashik as an exciting destination for those seeking to contribute to the dynamic field of data science.
This article will talk about the Top 8 Data Science Courses in Nashik, why these courses are important, and the benefits of taking them in Nashik, India so let’s start.
Comparison Chart: Top 8 Data Science Courses in Nashik with Placement.
If you are looking for the best and most reliable information regarding Data Science courses in Nashik, then you have come to the right place.
| 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 | Data Universe | Online & Offline | 2018 | INR 67,500 | 100% |
| 3 | TechnoKraft Training & Solution PVT LTD | Online & Offline | 2018 | INR27,000 | 100% |
| 4 | EDGROW | Online | 2020 | INR 59,000 | 100% |
| 5 | IANT Nashik | Online & Offline | 2012 | INR 60,000 | 100% |
| 6 | Treemiti Informatics | Online & Offline | 2010 | INR 2,10,000 | 100% |
| 7 | Profound Edutech | Offline & Offline | 2018 | INR 45,000 | 100% |
| 8 | SEED Infotech | Online & Offline | 2016 | INR 39,999 | 100% |
What is Data Science and its Importance?
Data science is a way of studying things that mix expertise in a specific subject, computer programming, and understanding of math and statistics. The goal is to find useful information from data. People who work in data science use computer programs to analyze numbers, words, pictures, videos, sounds, and other types of data. They use these analyses to create smart computer systems that can do tasks usually done by humans. These systems then provide useful information that analysts and business people can use to make businesses better.
Data science is important because it uses tools, methods, and technology to make sense of information. Nowadays, organizations have a lot of data coming in from various sources, like devices and online systems. They collect information on everything from shopping to healthcare to finances. We have tons of text, audio, video, and image data at our fingertips.
Top 8 Data Science Courses in Nashik
1. Digiperform
Digiperform stands out as the leading training provider in India, specializing in digital skills. Our extensive course curriculum is intricately developed by a team of over 50 experts with significant great experience in the Data Science industry. We actively solicit input and suggestions from 450 innovative businesses across Asia, ensuring that our courses remain at the forefront of industry trends.
Our curriculum is thoughtfully designed to encompass the requisite skills for roles in both small and large Data Science agencies, as well as for companies with in-house Data Science teams. At Digiperform, we prioritize a hands-on learning approach, integrating practical exercises, research, and assignments to deliver a comprehensive and practical learning great experience.
Why Choose Digiperform Online Data Science Course?
Choosing Digiperform’s Online Data Science Course is a smart decision for several reasons. Our learning great experience is designed to be user-friendly, and created by industry experts to help you easily understand complex concepts.
The course is carefully structured based on feedback from 450 businesses, ensuring its relevance in the constantly changing digital world. We take a hands-on approach, incorporating practical work, research, and assignments for a well-rounded learning great experience.
Whether you have a scientific, business, or non-technical background, our course is tailored for your success. Join us to explore the world of data science and start an enriching learning journey!
Data Science Online Course: Advantages
Data science programs are growing in number with every passing year. While many of these programs are at traditional brick-and-mortar schools, a growing number of colleges and universities are offering data science degree programs online.
The popularity of online learning is due to a wide range of benefits that traditional classroom learning typically cannot offer. So, if you’re thinking about majoring in data science, consider the following benefits of online learning as reasons to strongly consider enrolling in an online data science degree program.
Online Courses Enable Self-Pacing: By going online to get the necessary training, students are often able to study at their own pace.
There is a Convenience Factor: By learning online, you can work on your studies after work in the evenings or on the weekends. If you have a day off or a long weekend, you can use that time to work on your coursework as well.
Online Learning Cost-Effective: One of the inconveniences of learning on campus is the time needed to commute to and from campus. An additional inconvenience is that you have to pay for gas and maintenance for your vehicle and might have to pay for parking, too. By learning online, you can avoid these overhead expenses and put that money back into your pocket.
Online Learning Can Be Done Anywhere: online courses only require that you have a computer and an internet connection, you can theoretically study anywhere you want – at home, in a coffee shop, on vacation, or somewhere in between.
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. Data Universe
The IT sector is poised to be a significant driver in propelling India towards the ambitious goal of becoming a 5 Trillion economy. With India’s inherent potential to become a technology hub, the possibilities are immense.
At DataUniverse, They are committed to delivering excellence in the realm of Data Analytics and Data Science through their industry-focused programs. Their vision is to create a world where data is leveraged to enhance decision-making, resolve complex issues, and create opportunities.
They invite you to join them at DataUniverse and equip yourself with the necessary skills and knowledge to make informed, qualified data-driven decisions that have a positive impact on society. Together, let’s be the catalyst for change and usher in a better world.
Course Curriculum:
- Module 1: Oracle SQL
- Module 2: Linux Operating System
- Module 3: Hadoop & HDFS
- Module 4: Hive
- Module 5: Python
- Module 6: AWS
- Module 7: PySpark
- Hands-on Experience in Industry Projects
Course Highlights:
- Guidance of dedicated and experienced Trainers.
- Improve your resume and profile with insights and tips from experts.
- 10+ industry-relevant projects from the top MNCs.
- Mock interviews with industry experts.
- 12+ cutting-edge tools and Technologies like Python, spark Pandas, AWS, etc.
- Top-notch curriculum with a Job-oriented approach.
- 8X higher engagement in live online classes by industry experts.
- Suitable for technical as well as non-technical graduate content.
- Access to high quality with industry-relevant.
- Certification Course
| Name | PG Diploma in – Fundamentals of Data Science & Data Engineering |
| Course Duration | 4 Months |
| Website | www.datauniverse.in |
| Address: | 203, Roongta Business Centre, Old Canal Link Road, Near Govind Nagar, Nashik 422009. Contact: 8830944055 |
| Avg. Google Rating: | 5 |
| Offering DS Training in Nashik Since: | 2018 |
| Fees | INR 67,500 |
| Branches in India: | Nashik |
| Flagship Course Names: |
PG Diploma in – Data Analytics PG Diploma in – Machine Learning and Artificial Intelligence PG Diploma in – Advance Data Science & Data Engineering |
| Exclusive Data Science Institute: | Yes |
| Training Delivery Model | Online & Offline |
3. TechnoKraft Training & Solution PVT LTD
TechnoKraft Training & Solution Pvt. Ltd. is proudly ‘krafting’ the tech skills of IT aspirants and students longing to build a career in the IT world. Based in Nashik, their core values are excellence, pursuing growth and quality learning experience, and delivering WOW with their excellent services. They might only be 5 years young, but they are better known to be wiser beyond their age, simply because of their exceptional learning process.
They are the Madhhaters of the IT institute, as they don’t believe in going by the traditions or textbooks. They look to problems for a unique perspective, and they teach the same to those who join them! Why? Because IT is not a field where “2+2=4” is not always true. A dynamic field needs dynamic people who can solve and deal with new problems dynamically!
Their primary focus is to bridge the gap between the demand and supply of talented and diverse IT Professionals by providing significant education and solutions. Hundreds of students come out from their institute as rising stars, ready to rock their IT careers. They make them ready to face all the upcoming challenges of the professional world by giving them a 360-degree education.
Course Curriculum:
MODULE – 1
- Data Science libraries with Python.
- Overview of Data Science.
- Data & Statistical Analysis with Business Application.
- Mathematical Computing with NumPy.
- Exploring Scipy.
- Data Manipulation with Pandas
- Using Scikit / Matplotlib
MODULE – 2
- Introduction of Statistics.
- Difference between population & sample.
- Measures of Central Tendency.
- Measures of Variability
MODULE – 3 INFERENTIAL STATISTICS
- Normal distribution
- Test hypotheses
- Central limit theorem
- Confidence interval
- T-test
MODULE – 4 EXPLORING DATA ANALYSIS
- Data Visualization
- Missing value analysis
- The correction Matrix
- Outlier detection analysis
MODULE – 5 ANALYSIS TOOL GUIDELINE (TABLEAU)
- Working with Tableau.
- Making Big Data Connections.
- Creating Charts.
- Mapping data.
- Introduction of Dashboard.
| Name | Data Science Training in Nashik |
| Course Duration | 2 Months |
| Website | www.tts.net.in |
| Address: | 1st Floor, Kanchwala Avenue, Above Viju’s Dabeli, Thatte Nagar Marg, College Road Nasik Contact: +91-253-2312447 |
| Avg. Google Rating: | 5 |
| Offering DS Training in Nashik Since: | 2018 |
| Fees | INR 27,000 |
| Branches in India: | Nashik, Pune |
| Flagship Course Names: |
Cyber Security Docker Ethical Hacking Machine Learning and Artificial Intelligence Data Science DevOps |
| Exclusive Data Science Institute: | Yes |
| Training Delivery Model | Online & Offline |
4. EDGROW
Edgrow is an online professional training program and provides high-end courses, internships, and certification in affordable Data Science Training in Nashik & Data Analytics Course in Nashik, Machine learning experience and Artificial intelligence in Nashik, Python Programming, Full stack Web development in Nashik, React is course in Nashik.
Mobile application development, React js in Nashik. They provide the best full-stack web development and data analytics courses in Malegaon, Dhule, Jalgaon, and Nashik. Introducing Building Android development course in Nashik (React native training course in Nashik, flutter course). Learn Industry specific courses like React JS, Node JS, Data science, and qualified data analytics online with Edgrow
Course Curriculum:
- Module 1: Introduction to Data Science.
- Module 2: Data Visualization (Power BI)
- Module 3: Python Basics
- Module 4: Data Analytics with Advanced Python
- Module 5: Machine Learning with Python and Statistics
- Module 6: NLP Fundamentals
- Module 7: Deployment (Cloud)
- Module 8: SQL and Databases
- Module 9: Career Services & Capstone Projects
Course Highlights
- Designed for Students and working Professionals.
- 1:1 Mentoring from an Industry Expert
- Lifetime Access to our Data Science Resources
- 100% Job Assistance
- Real time projects
- Mock Interviews
- Help in Resume Building
- The central government recognized NSDC Certification Course
- Internship letter
| Name | Complete Data Science Training Course |
| Course Duration | 5 Months |
| Website | www.edgrow.in |
| Address: | Opposite Wokhart Hospital, Beni Marg, F-10 Sai Kiran Apartment, Mumbai – Agra National Hwy, Samta Nagar, Nashik, Maharashtra 422001 Mob: 092090 60258 |
| Avg. Google Rating: | 5 |
| Offering DS Training in Nashik Since: | 2020 |
| Fees | INR 59,000 |
| Branches in India: | Malegaon, Dhule, Jalgaon, Nashik |
| Flagship Course Names: |
Python Data Science Machine Learning and Artificial Intelligence Artificial Intelligence Data Analytics |
| Exclusive Data Science Institute: | Yes |
| Training Delivery Model | Online |
5. IANT Nashik
In the field of international IT certifications and training, IANT [Institute of Advance Network Technology] is a recognized Indian IT company. Having won several awards at various national & international platforms as the Best IT Training Institute in India, IANT has proven the value of certified professionals in the IT market. IANT is the No. 1 IT Training Company in India thanks to its excellence in the supply of advanced IT training [Corporate & Retail], IT certifications, IT infrastructure development and support, and recruitment solutions.
Infrastructure and staffed with IT professionals who are aimed at developing global IT professionals ready to serve the IT industry. IANT’s quality can be summed up as Original Courseware, International Curriculum, Corporate and Certified Trainers, and Advanced IT Labs. With many International Certifications accumulated in their profiles, the professionals at IANT have successfully earned the trust of Employers.
Course Curriculum:
- INTRODUCTION TO DATA AND DATA ANALYSIS
- Python Basics
- Python Packages and Manipulating data in Python
- STATISTICS BASICS
- R PROGRAMMING BASICS
- DATA SCIENCE WITH R PROGRAMMING
- INTRODUCTION TO ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING
- DATA SCIENCE WITH AI & ML
| Name | Certificate Program in Data Science, Machine Learning & AI |
| Course Duration | 6 Months |
| Website | www.iantindia.com |
| Address: | 3rd Floor, IANT Computer Education, Vasant City Mall, near Manas Hotel, Panchavati Karanja, Panchavati, Nashik, Maharashtra 422003 Mob: 093262 82277 |
| Avg. Google Rating: | 5 |
| Offering DS Training in Nashik Since: | 2012 |
| Fees | INR 60,000 |
| Branches in India: | Indore, Nashik |
| Flagship Course Names: |
Full Stack Developer Digital Marketing Data Science Ethical Hacking Computer Forensic Pen Test Mobile Forensic IOT and IOT Security |
| Exclusive Data Science Institute: | Yes |
| Training Delivery Model | Online & Offline |
6. Treemiti Informatics
In 2010, Treemiti Informatics was founded by Mr. Sandeep Chandorkar, a Web Consultant with a vision to provide career-oriented education in Information Technologies. From its beginnings the institute focused on the overall growth of a student to make them proficient IT professionals.
With experienced faculty and state-of-the-art infrastructure, Treemiti’s students are highly sought after by employers like TCS, Capgemini, Accenture, Affinity, Ebrandz, FirstCry, Infosys, ESDS, Netwin, Eluminous, Aress, Sunbird and many more. The institute has a track record of placing its graduates in some of the best companies in the country. With its commitment to quality and innovation.
The institute’s vision is to provide the right guidance and technology to help students achieve their career aspirations. Treemiti’s courses are designed to meet the needs of the IT industry, and the institute has partnerships with some of the biggest names in the business. Treemiti Informatics has emerged as a premier institute in the field of information technology.
Course Curriculum:
- Basic Maths and Statistics
- Basic and Advanced Excel
- Concept of Programming using C and C++
- Python Programming
- Pandas, Numpy, SciPy, Matplotlib
- Artificial InteliMachine Learning
- Deep Learning
- Data Engineering (tools)
- NLP Engineering
- UI Development
- Cloud Deployment
- SQL & MongoDB
- Power BI, Tableau, Quicksight
- Git Version Control System
- Model Deployment
- Communication Skills
- Storytelling Skills
- Value Added Softwares
- Practice Project
| Name | Advanced Course in AI ML Data Science |
| Course Duration | 12 Months |
| Website | www.treemiti.com |
| Address: | Block 3, Bhagyalaxmi Apartment Old D’Souza Colony, College Rd, opp. Model Colony, Nashik, Maharashtra 422005 Mob: 095795 73923 |
| Avg. Google Rating: | 5 |
| Offering DS Training in Nashik Since: | 2010 |
| Fees | INR 2,10,000 |
| Branches in India: | Nashik |
| Flagship Course Names: |
Graphic Designing UI UX Designing Web Designing Digital Marketing Web Development Application Development Games Development DevOps Specialist |
| Exclusive Data Science Institute: | Yes |
| Training Delivery Model | Online & Offline |
7. Profound Edutech
Profound Edutech provides services in the area of IT training, Consulting, Staffing etc. Profound Edutech is an institute driven by the agenda to equip students with the right mix of a sound understanding of the fundamentals and a good comprehension of the newest in Information Technologies, thereby increasing their Employability Quotient.
The IT field is one of the most ‘happening’ areas with new tools and techniques coming up at a fast pace. Understanding the technological mismatch this creates, Profound is mandated to update the knowledge and skills of those in the Industry through tailor-made courses.
The IT sector can be imagined as a triangle with the students, educational institutions, and corporate bodies occupying its three corners. Profound has been incorporated to bring these three distant points closer through academic partnerships, corporate alliances, and student placement fairs.
The hallmarks of their institute are well-designed, validated courses to bridge the technology gap between academic instruction and Industry requirements and competent, well-trained, and informed faculty.
Course Curriculum:
- Python Fundamentals
- Python for Data Science
- Data Engineering Fundamentals
- Machine Learning and Artificial Intelligence
- Deep Learning
- Evaluation
- Project: Design, Development
Course Highlights:
- Highly experienced faculty
- Best study material for the students
- Mock test series for the students
- Online classes for the students.
- Excellent results of the students.
- Best infrastructure for the comfort of the students.
- Overall personality development.
| Name | Data Science using Python |
| Course Duration | 1.5 Months |
| Website | www.profoundedutech.com |
| Address: | Second Floor, Kaveri Sankul, Vakilwadi Corner, Ashok Stambh, Panchavati, Nashik, Maharashtra 422001 Mob: 085308 56881 |
| Avg. Google Rating: | 5 |
| Offering DS Training in Nashik Since: | 2018 |
| Fees | INR 45,000 |
| Branches in India: | Chinchwad, Viman Nagar, Hadapsar, Ashok Stambh, Dhankawadi, Nashik |
| Flagship Course Names: |
FullStack Java Developer Full Stack Dot Net Developer Software Testing Digital Marketing Python Programming |
| Exclusive Data Science Institute: | Yes |
| Training Delivery Model | Online & Offline |
8. SEED Infotech
SEED Infotech is one of India’s leading solution providers in Information Technology training, staffing, and products & tools consulting services to both retail (i.e. students, professionals, and individuals) and corporate customers.
With their headquarters in Pune, one of the IT hubs of India, their activities are spread over many locations in the state of Maharashtra and other IT Metros in India.
Proudly Associated with with global technology leaders such as Microsoft, Red Hat, NSDC, EC Council, Gasq, Kryterion, Prometric, SAP, and Hortonworks, are undoubtedly their core strengths. They have 300+ corporate clients and are associated with 50+ Academic Institutions.
Course Curriculum:
- Module 1:Fundamentals of Data Science
- Module 2:Fundamentals of Analytics
- Module 3:Module 4: Excel Analytics – Spreadsheet Analytics
- Module 4: Database and SQL
- Module 5: Power BI – Information Delivery
- Module 6: Data Integration using ETL Tool SSIS
Course Highlights:
- Asking the right questions through the right data
- Learn data classification and co-relation
- Concepts of Business Intelligence / Data Warehousing Lifecycle, Requirements gathering, and Dimensional Modelling on real-life scenarios.
- Technical part of analytics process – data gathering, cleaning, processing, storing, and visualizing.
- Data modeling, storage, and display.
- Design and develop a pipeline from raw big data sources to your data warehouse
- To perform complex operations. Extract, Transform, and Load (ETL)
- Powerful reports with Power BI
- Application of learning through live assignments.
| Name | Advanced Certification in Data Science & Analytics course |
| Course Duration | 1.5 Months |
| Website | www.seedinfotech.com |
| Address: | Gk Tower, opposite Yes Bank, off College Road, Thatte Nagar, Nashik, Maharashtra 422005 Mob: 070835 21466 |
| Avg. Google Rating: | 4 |
| Offering DS Training in Nashik Since: | 2016 |
| Fees | INR 39,999 |
| Branches in India: | Pune, Nagpur, Nashik, Ahmednagar, Wagholi, Viman Nagar |
| Flagship Course Names: |
Full Stack Java Software Testing Web Development Selenium Webdriver Spring Boot Automation Testing |
| Exclusive Data Science Institute: | Yes |
| Training Delivery Model | Online & Offline |
Who should learn Data Science in Nashik?
Data Science in Nashik is beneficial for individuals across various professional backgrounds seeking to leverage the power of data for informed decision-making. Professionals in fields such as IT, finance, marketing, healthcare, and more can enhance their analytical skills through data science training.
Entrepreneurs looking to extract meaningful insights from their business data can greatly benefit, enabling strategic growth. Students and recent graduates interested in pursuing a career at the intersection of technology and data analysis will find Nashik’s Data Science courses valuable for building a solid foundation.
The diverse range of applications in industries like agriculture, manufacturing, and services makes data science relevant to a wide audience in Nashik, fostering innovation and efficiency in the region’s business landscape.
Why should you study Data Science?
Becoming a data scientist has emerged as a pivotal career choice in the 21st century, hailed by the Harvard Business Review as the “sexiest job of the century.” Wired even advocates for prioritizing a career in data science over traditional professions, advising parents to encourage their children to pursue this field.
As a data scientist, you play a crucial role in extracting meaningful insights from the vast volumes of data generated by our society. The current scarcity of data scientists has evolved into a significant challenge across various sectors, including business, energy, government, healthcare, intelligence and security, and logistics, all eagerly anticipating professionals like yourself. The broad spectrum of application areas in data science allows you to engage in a field aligned with your personal interests.
Opting for a career as a data scientist ensures job security, given the transformative impact of data across all professions. In the next five years, obtaining managerial, radiologist, or marketer roles without a foundation in data science knowledge will become increasingly challenging. In essence, as a data science graduate, you can anticipate excellent job prospects in both the business and government sectors.
Career Scope in Data Science in Nashik
The career scope in Data Science in Nashik is promising, with growing demand across industries. As businesses in Nashik increasingly recognize the value of data-driven insights, professionals in Data Science find ample opportunities. Roles such as Data Analysts, Machine Learning Engineers, and Data Scientists are in high demand, offering competitive salaries. With Nashik emerging as an industrial and technological hub, the application of Data Science extends to sectors like agriculture, manufacturing, and healthcare. Pursuing a career in Data Science in Nashik not only opens doors to diverse industries but also contributes to the region’s overall economic and technological advancement.
Mastering Data Science Tools
Digiperform offers the ‘Mastering Data Science Tools’ course, aiming to plunge you into the world of data science. This program delves into Python, R programming, and cutting-edge machine learning methods, enhancing your capacity to extract valuable insights from data. Gain practical expertise with crucial industry tools, equipping you to tackle real-world data issues proficiently. Elevate your skill set and broaden your career opportunities in the field of data science through Digiperform’s comprehensive and hands-on program.
Data Science Salaries for Freshers in Nashik
Data Science salaries for freshers in Nashik are competitive, reflecting the increasing demand for skilled professionals in the field. Entry-level positions, such as Data Analysts or Junior Data Scientists, typically offer salaries that align with industry standards.
While actual figures may vary based on the employer, educational background, and skills, fresh graduates in Nashik can expect to earn respectable compensation in the Data Science domain. As businesses in Nashik recognize the crucial role of data-driven decision-making, the demand for entry-level talent is on the rise.
This presents a suitable time for freshers to enter the Data Science workforce in Nashik, where they can contribute to the growth of local industries while enjoying favorable remuneration packages and career prospects.
Current Job Openings in Data Science in Nashik
In Nashik, there is a burgeoning demand for skilled professionals in Data Science, evident in the numerous job openings across various industries. Local businesses are actively seeking Data Scientists, Data Analysts, and Machine Learning Engineers to harness the power of data for strategic decision-making.
These job opportunities span diverse sectors including IT, finance, healthcare, and manufacturing, reflecting the wide-ranging applications of Data Science in Nashik’s evolving economy. With an emphasis on data-driven insights, companies are creating roles that cater to the increasing importance of analytics.
Job seekers in Nashik can explore positions that align with their skills and interests, contributing to the region’s technological growth while advancing their careers in this dynamic and in-demand field. You can refer to these websites: Naukri.com, Linkedin.com, Indeed.com and many more.
FAQs: Data Science Course
What skills are essential for a Data Science course?
A Data Science course typically requires proficiency in programming languages such as Python or R, a solid foundation in mathematics and statistics, and the ability to work with databases. Additionally, skills in data visualization, machine learning algorithms, and problem-solving are crucial.
What career opportunities are available after completing a Data Science course?
Upon completing a Data Science course, individuals can pursue various career paths, including Data Scientist, Data Analyst, Machine Learning Engineer, Business Intelligence Analyst, and more. The versatility of data science skills allows professionals to work across industries like finance, healthcare, e-commerce, and technology.
Is a background in computer science necessary for a Data Science career?
While a computer science background can be advantageous, it is not always necessary. Many Data Science roles value diverse educational backgrounds, including mathematics, statistics, engineering, or even business. The key is to acquire the relevant skills through a comprehensive Data Science course.
How does Data Science contribute to career advancement?
Data Science contributes to career advancement by providing professionals with the ability to extract valuable insights from data, aiding informed decision-making. As businesses increasingly rely on data-driven strategies, individuals with Data Science skills become valuable assets, leading to opportunities for promotions, higher salaries, and diverse career paths.
