Master
Data Science Courses In Pune
India’s Only Data Science Training Program created to help you to build a successful career in Data Science from scratch.
TOP 10 BEST DATA SCIENCE COURSES IN PUNE
Welcome to our list of the Top 10 Data Science Course Institutes in Pune!
Pune is a city in Maharashtra state in the Deccan plateau in Western India. The city of Pune is part of Pune Metropolitan Region. Pune is one of the largest IT hubs in India.
It is also one of the most important automobile and manufacturing hubs of India. Pune District is the third largest contributor to the economy of Maharashtra, after Mumbai and Thane. Pune has the fifth-largest metropolitan economy and the sixth-highest per capita income in the country.
Pune is often called the “Oxford of the East” because of its highly regarded educational institutions in the city. Pune has over a hundred educational institutes and more than nine deemed universities apart from the Savitribai Phule Pune University (SPPU; formerly University of Pune), which is the largest University in the country based on total number of affiliated colleges.
Comparison Chart: Top 10 Data Science Courses in Pune with Placement.
If you are looking for the best and most reliable information regarding Data Science courses in Pune, then you have come to the right place, so let’s get started.
| 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 | Etlhive | Online & Offline | 2019 | INR 85,000 | 100% |
| 3 | ExcelR | Online & Offline | 2014 | INR 85,000 | 100% |
| 4 | Fergusson College | Offline | 2000 | INR 1,00,000 | Campus Hiring |
| 5 | DataMites Pune | Online/Offline | 2018 | INR 71,648 | 100% |
| 6 | 360 DigiTMG | Online/Offline | 2013 | INR 85,000 | 100% |
| 7 | Learnbay | Online/Offline | 2016 | INR 1,25,000 | 100% |
| 8 | Skillslash | Online | 2019 | INR 1,20,000 | 100% |
| 9 | Velocity | Offline | 2016 | INR 55,000 | 100% |
| 10 | IIM SKILLS | Online | 2015 | INR 49990 | 100% |
What is Data Science and its Importance?
Data science is like a mix of knowing a lot about a specific field, being good at computer stuff, and understanding numbers. This helps data scientists find important information from data. They use computer programs that can learn from different types of data, like numbers, words, pictures, sounds, and more. With these programs, they can make smart machines that can do tasks that usually only people can do. These smart machines find useful information, which can help businesses in real ways.
Data science, a dynamic and interdisciplinary field, encompasses a broad spectrum of techniques and methodologies for extracting valuable insights from vast datasets. Python, a versatile programming language, stands out as an integral part of the field of data science, empowering professionals to manipulate and analyze data efficiently. In this data-driven era, the role of Python in data science cannot be overstated.
Whether it’s data cleaning, exploratory data analysis, or building machine learning models, Python plays a pivotal role at every stage of the data science pipeline. Aspiring data scientists often find Python to be an essential tool in their toolkit, given its rich ecosystem of libraries and frameworks tailored for data manipulation and statistical analysis. Embracing Python as part of the field of data science equips individuals with the necessary skills to navigate the complexities of real-world datasets and derive meaningful insights, making it an indispensable asset in the journey of mastering data science.
Its Importance:- Data science is like a super tool that helps us understand and use all the information we have today. It’s really important because it helps companies and organizations make smart choices using big piles of data. It’s like a crystal ball that can predict things in finance, healthcare, and marketing, making those fields work better. Data science also makes our online experiences better, like when Netflix suggests movies we might like. It helps cities become greener and more efficient by planning things better. And it’s not just about business – data science can help us prepare for disasters and take care of our environment. In short, data science is a superpower that changes how we do things, from business to saving the planet.
Top 10 Data Science Courses in Pune
1. Digiperform
Digiperform is the largest “Exclusive Digital Domain Specific” training provider in India. Our curriculum is designed and updated by the content panel of over 50 experts from across the digital marketing industry; combining the endorsements & suggestions of 450 knowledgeable corporates across Asia.
Why Choose Digiperform Online Data Science Course?
Because we provide India’s best Data Science Training Program which was created to help you to build a successful career in data science from scratch. You will solve 75+ projects and assignments across the project duration working on Stats, Advanced Excel, SQL, Python Libraries, Tableau, Advanced Machine Learning, and Deep Learning algorithms to solve day-to-day industry data problems in healthcare, manufacturing, sales, media, marketing, education sectors making you job ready for 30+ roles.
Data Science Online Course: Advantages
Taking an online data science course comes with many advantages. First, you can learn from the comfort of your home, saving time and money on commuting. These courses often have flexible schedules, so you can study when it suits you best. They also offer a wide range of resources, including videos and quizzes, to help you understand the material better. Plus, you can connect with other students and experts online to ask questions and get support. Most importantly, when you complete the course, you’ll have new skills that can open doors to 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. Etlhive
Etlhive offers Data Science Courses in Pune, including detailed Data science and data analytics courses for IT and Non IT background students
They have a wide range of tools frequently used for Data Analytics. As a part of this comprehensive Data science training in Pune, they teach Data Science, Machine Learning, Deep Learning, and Artificial Intelligence will be taught to you in a detailed manner. The primary goal is for students to develop an ability to crack interviews for Data Science positions.
Course Curriculum
- Basic Python
- Advanced Python
- Data Visualization with Tableau
- Data Visualization with Python
- Data manipulation
- Introduction to Data Science(Mathematical part)
- Machine Learning(Supervised)
- Machine Learning(Unsupervised)
- Deep Learning
- Capstone projects
- End-to-End Projects
- Project deployment on the Cloud platform
- Resume Preparation
- Interview Preparation and mock interviews
- Certification Preparation
- Pre-placement support
Course Highlights
- Python Programming(Basic and Advanced)
- Data manipulation with pandas & numpy and Data Visualization with Tableau
- Machine Learning with scikit, sklearn, scipy and statsmodels.
- Web scraping and Time Series forecasting
- Text processing, NLP, and Image processing with Neural Networks(ANN, RNN, CNN, etc.)
- Resume | Interview | Certification preparation for IABAC and IBM certification.
| Name | Data Science and Data Analytics |
| Course Duration | 6 Months |
| Website | www.etlhive.com |
| Address: | 3rd Floor, Destination Center, Erica Rd, Magarpatta, Hadapsar, Pune, Maharashtra 411028 Mob: 080550 20011 |
| Avg. Google Rating: | 5 |
| Offering DS Training in Pune Since: | 2019 |
| Branches in India: | Pune, Wakad, Ravet, Nal Stop, Kharadi, Baner, Vashi, Thane |
| Exclusive Data Science Institute: | Yes |
| Flagship Course Names: |
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| Training Delivery Model | Online /Offline |
3. ExcelR
As a new-age training institute with a global footprint, they at ExcelR understand the constantly changing nature of the business and emerging needs across the globe. Keeping industry skill requirements in mind, They offer a wide gamut of technical and management courses as well as courses in emerging technologies. The curriculum of each course has been meticulously designed to match the contemporary needs of the industry.
Course Curriculum
- Module 1 – Data Science Project Lifecycle
- Module 2 – Introduction To R And Python Basic Statistics
- Module 3 – Hypothesis Testing
- Module 4 – Linear Regression
- Module 5 – Logistic Regression
- Module 6 – Regularization Techniques
- Module 7 – Multinomial Regression
- Module 8 – Data Mining Unsupervised – Clustering
- Module 9 – Dimension Reduction
- Module 10 – Data Mining Unsupervised – Network Analytics
- Module 11 – Data Mining Unsupervised – Association Rules
- Module 12 – Data Mining Unsupervised – Recommender System
- Module 13 – Text Mining
- Module 14 – Natural Language Processing
- Module 15 – Machine Learning Classifiers – KNN
- Module 16 – Classifier – Naive Bayes
- Module 17 – Decision Tree And Random Forest
- Module 18 – Bagging And Boosting
- Module 19 – Black Box Methods
- Module 20 – Survival Analysis
- Module 21 – Forecasting
- Module 22 – Assignments
- Module 23 – Projects
- Module 24 – Resume Prep And Interview Support
Course Highlights
- To cater to this special category of unicorn Data Science professionals, They at ExcelR have formulated a comprehensive 6-month intensive training program that encompasses all facets of Data Science and related fields that the Team Leader / Manager is expected to know and more.
- Under this program, the selected participants will be given adequate hands-on important ETL tools; Learn the nuances of setting up a Big Data virtual lab; harness the power of Amazon web services; and work with live scenarios in the agile environment.
| Name | Data Science Certification from SGIT, Steinbeis University, Germany |
| Course Duration | 6 Months |
| Website | www.excelr.com |
| Address: | 1st Floor, East Court Phoenix Market City, F-02, Clover Park, Viman Nagar, Pune, Maharashtra 411014 Mob: 096997 53213 |
| Avg. Google Rating: | 5 |
| Offering DS Training in Pune Since: | 2014 |
| Branches in India: | Pune, Viman Nagar |
| Flagship Course Names: |
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| Exclusive Data Science Institute: | Yes |
| Training Delivery Model | Online /Offline |
4. Fergusson College
The Deccan Education Society which is the parent body of several educational institutions spread over the landscape of Maharashtra founded the Fergusson College, a premier institution of liberal learning in India. The Fergusson College imparts instruction to nearly 5500 undergraduate and postgraduate students in natural sciences, Computer, Electronics, I.T. at graduate & Post graduate levels, humanities, and social sciences; it has very well-equipped laboratories, a library having a collection of over 3,00,000 books, rare as well as modern.
Course Curriculum
- Basic and Advanced Excel
- Visual Basic Application
- SQL Server Reporting Services
- SQL Server Integration Services
- Power BI
- Data Analytics Using Python
- Tableau
- R For Data Science
- Alteryx
Course Highlights
- Courses based on NEP 2020 Guidelines
- Emphasis on holistic education
- Experiential Learning
- On job training/internship/projects
| Name | Data Science Analytics certification course |
| Course Duration | 6 Months |
| Website | www.fergusson.edu |
| Address: | Fergusson College, F.C. Road, Pune 411004 Phone Number: 020-67656000 |
| Fees: | INR 1,00,000 |
| Avg. Google Rating: | 4.6 |
| Offering DS Training in Pune Since: | 2000 |
| Branches in India: | Pune Maharashtra |
| Flagship Course Names: |
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| Exclusive Data Science Institute: | No |
| Training Delivery Model | Offline |
5. DataMites
DataMites is one of the leading training providers that offer cost-effective, high-quality, and real-time training courses over a wide range of analytics fields. They offer specialization courses in various fields such as Data Science, Machine Learning, Data Mining, Tableau Associate, Deep Learning, Text Mining, Python Programming, and Minitab. Their training courses are specially designed and updated by experts who have well-built experience and industrial backdrop to transmit better knowledge to the candidates who are attending the training.
Course Curriculum
- Data Science Foundation
- Python Essentials
- R Language Essentials
- Maths for Data Science
- Statistics for Data Science
- Data Preparation with Pandas
- Visualization with Python
- Machine Learning Associate
- Advanced Machine Learning
- SQL for Data Science
- Deep Learning – CNN Basics
- Tableau Associate
- ML Model Deploy – Flask API
- Big Data Foundation
- Data Science Project Execution
Course Highlights
- IABAC® & DMC Certification
- 400 Learning Hours
- 64-Hour Classroom Sessions
- 25 Capstone & 1 Client Project
- Cloud Lab Access
- Internship + Job Assistance
| Name | Data Science & Data Analytics Courses |
| Course Duration | 6 Months |
| Website | www.datamites.com |
| Address: | office number 15, Fourth Floor, A-wing City Vista, Downtown Rd, Ashoka Nagar, Kharadi, Pune, Maharashtra 411014 Call: 1800 313 3434 |
| Avg. Google Rating: | 4.8 |
| Offering DS Training in Pune Since: | 2018 |
| Branches in India: | Pune Maharashtra |
| Flagship Course Names: |
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| Exclusive Data Science Institute: | Yes |
| Training Delivery Model | Online/Offline |
6. 360 DigiTMG
360DigiTMG, the most preferred organization by the leading industries globally, is an erudite destination for aspirants across the world. Significantly transforming individuals’ careers by perpetually, providing an exceptional learning journey and thus stands out from the rest of the crowd. 360DigiTMG marked its significant presence globally in providing World-class training with its main headquarters in India.
Course Curriculum
- CRISP-DM – Project Management Methodology
- Exploratory Data Analytics (EDA) / Descriptive Analytics or Descriptive Statistics
- Statistical Data Business Intelligence and Data Visualization
- Plots & Inferential Statistics
- Probability Distributions (Continuous & Discrete)
- Hypothesis Testing – The ‘4’ Must Know Hypothesis Tests
- Data Mining Supervised Learning – Linear Regression, OLS
- Predictive Modelling – Multiple Linear Regression
- Lasso and Ridge Regressions
- Logistic Regression – Binary Value Prediction, MLE
- Multinomial Regression and Ordinal Regression & more
Course Highlights
- 180+ Hours Online + Classroom Sessions
- 150+ Hours of Practical Assignments
- 2 Capstone Projects
- Certified
- 100% Placement Assistance
- Live Free Webinar
- 24/7 Support
| Name | Professional Course in Data Science & AI |
| Course Duration | 6 Months |
| Website | www.360digitmg.com |
| Address: | Survey No. 1, GLOBAL BUSINESS HUB, EduLeap, Office #705, 7th Floor, 1 A, opp. Eon IT Park, Kharadi, Pune, Maharashtra 411014 Call: 1800 212 654 321 |
| Avg. Google Rating: | 4.8 |
| Offering DS Training in Pune Since: | 2013 |
| Branches in India: | Pune, Hyderabad, Bangalore, Chennai |
| Flagship Course Names: |
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| Exclusive Data Science Institute: | Yes |
| Training Delivery Model | Online /Offline |
7. Learnbay
Acquire your first data science job. Learnbay Provides the best Data Science courses in Pune. This course will help you to capitalize on your domain expertise by utilizing your existing domain knowledge in the data science field via fresh industrial capstones.
Course Curriculum
- L1: Cohort Orientation + Special Programming Classes
- L2: Python Programming (Basic + Advance)
- L3: Statistics and Machine Learning
- L4: Data Science Tools
- L5: AI Tools
- L6: Deplyment & Essentials
- L7: AI Generative Tools and Future Trends
Course Highlights
- Industry-Relevant & Updated Syllabus
- 360 Degree Knowledge Building
- 1:1 Dedicated Mentorship
- Multiple Career Opportunities
- Domain specialization
| Name | Data Science and AI Masters Program |
| Course Duration | 10 Months |
| Website | www.learnbay.co |
| Address: | office no. 408, 4th floor, Inorbit mall, City Space, opposite to Fiserv, Viman Nagar, Pune, Maharashtra 411014 Mob: 077956 87988 |
| Avg. Google Rating: | 4.9 |
| Offering DS Training in Pune Since: | 2016 |
| Branches in India: | Pune, Mumbi, Delhi, Kolkata, Chennai, Bangalore, Hyderabad |
| Flagship Course Names: |
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| Exclusive Data Science Institute: | Yes |
| Training Delivery Model | Online /Offline |
8. Skillslash
Being the leading data science training provider, They give you the opportunity to work directly with industry experts on the latest projects.
Working on relevant industry projects is a necessary part of learning. Further, their training allows you to develop your abilities and get employed in top businesses. Moreover, they believe their data science training can help you upgrade your skill set and get first preference in the hiring process.
Course Curriculum
- Module 0 Introduction
- Module 1 – Programming Essentials
- Module 2 – Applied Statistics
- Module 3 – Advanced Machine Learning
- Module 4 – Deep Learning
- Module 5 – NLP
- Module 6- Reinforcement Learning
- Module 7- Computer Vision
- Module 8 – DSA ( 12 Weeks )
- Module 9 – TOOL
Course Highlights
- Practice with 20+ tools
- Industry Projects
- Domain Training
- Designed By Industry Experts
- Project Certification From Companies
- 100% job Assistance
| Name | Adv Data Science and AI Course |
| Course Duration | 9 Months |
| Website | www.skillslash.com |
| Address: | Skillslash Pvt Ltd, Level 2, B, Andheri Kurla Road, Wing, Times Square, Unit 1, Andheri East Mumbai, Maharashtra 400059 Call: 8391-911-911 |
| Avg. Google Rating: | 4.7 |
| Offering DS Training in Pune Since: | 2019 |
| Branches in India: | Bangalore, Mumbai, Hyderabad, Gurugram |
| Flagship Course Names: |
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| Exclusive Data Science Institute: | Yes |
| Training Delivery Model | Online /Offline |
9. Velocity
Velocity Corporate Training Center is not a class or institute, it’s a family that cares about every family member, they conduct daily telephonic Mock interviews which interns help students in the telephonic round at the time of the interview. Along with these Velocity Alumni who are placed in MNCs and have experience more than 3 years conduct Mock interviews on weekends.
They maintain every individual’s record and at the end, they prepare students with the best quality resumes. Writing a resume is a skill to promote yourself in a current challenging market. Skillful and value-added resumes will be prepared and uploaded by experienced and skilled trainers of Velocity.
Course Curriculum
- Python+
- Machine Learning+
- Deep Learning+
- Natural Language Processing+
- DataBase+
- Cloud Platform
Course Highlights
- Best Faculties with Industrial Experience
- Updated Curriculum as per industry requirements
- Daily Mock
- Weekly Mock Interviews
- Hands-on demonstration of real-time projects
- Final Project Interviews
- Resume Preparation from High-Skilled Faculty
- Assistance in Uploading Resumes on Different Jobs portals
- HR Discussion Information
| Name | Data Science Course |
| Course Duration | 6 Months |
| Website | www.vctcpune.com |
| Address: | Panche Mall, 12, Datta Nagar Rd, near Bharti Vidyapeeth, Shriram Nagar, Katraj, Pune, Maharashtra 411046 Mob: 094227 61663 |
| Avg. Google Rating: | 4.7 |
| Offering DS Training in Pune Since: | 2016 |
| Branches in India: | Pune, Mumbai |
| Flagship Course Names: |
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| Exclusive Data Science Institute: | Yes |
| Training Delivery Model | Offline |
10. IIM SKILLS
IIM SKILLS is one of the most leading and very popular online learning platforms that offers skill development and finance courses. Their data analytics courses are one the most recommended courses.
Course Curriculum
- Module 1: Basic and Advanced Excel
- Module 2: Visual Basic Application
- Module 3: SQL
- Module 4: Power BI
- Module 5: Data Analytics Using Python
- Module 6: Tableau
- Module 7: R For Data Science
- Module 8: Alteryx
Course Highlights
- For students who successfully finish this program, there are guaranteed interview chances. Over the years, our more than 400 placement partners have held recruitment drives and hired our students.
- There is a job guarantee with their program. They have done over 4200 assignments with astounding pay increases. To start your analytics career, take advantage of this thorough professional help.
- The best student achievements are consistently achieved through live instructor-led sessions. Learning is made simpler and more efficient with these concentrated lessons and practical exercises. Participate in the course’s discussions and get all of your questions answered in live sessions.
- With the help of 25 in-class, real-world projects, master data science skills.
- For graduates and working professionals, the program offers two learning pathways. The 6-month full-time program for recent graduates is offered on weekdays and the 9-month part-time program is offered on weekends to working professionals.
| Name | Data Analytics and Machine Learning |
| Course Duration | 6 Months |
| Website | www.iimskills.com |
| Address: | No. 5, Survey No. 167 Lane, Manjri Rd, near Durga Mata Mandir, Mahadeonagar, Hadapsar, Pune, Maharashtra 411028 Mob: 9580 740 740 |
| Avg. Google Rating: | 5 |
| Offering DS Training in Pune Since: | 2015 |
| Branches in India: | New Delhi, Mumbai, Gurgaon, Haryana, Kolkata, West Bengal, Pune, Chandigarh, Hyderabad, |
| Flagship Course Names: |
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| Exclusive Data Science Institute: | Yes |
| Training Delivery Model | Online |
Who should learn Data Science in Pune?
Data Science is important for many people in Pune. If you like working with numbers and computers, Data Science could be for you. It’s not just for experts; anyone curious and willing to learn can benefit. Students can explore it to boost their careers, and professionals in various fields can use it to make better decisions. Companies in Pune also seek Data Scientists to understand data and make smart choices. So, whether you’re a student, a professional, or just curious, learn comprehensive Data Science training in Pune can open doors to exciting opportunities and help you make sense of data in today’s world.
Why should you study Data Science?
Studying Data Science is a great idea for several reasons. First, it’s in high demand, which means you can find good job opportunities. Second, it lets you work with data and find valuable insights, helping companies make smart decisions. Plus, it’s not just for experts; anyone can learn it and apply it in various fields, like healthcare, finance, or sports. Data Science also allows you to solve real-world problems and be creative. It’s a field that keeps evolving, so you’ll keep learning and growing. In short, studying Data Science can lead to a rewarding career, constant learning, and a chance to make a difference.
Career Scope in Data Science in Pune
The career prospects for Data Science in Pune are quite promising. Many companies in Pune are looking for skilled Data Scientists to make sense of their data. Data Science is used in various industries, including IT, finance, healthcare, and more. So, if you’re interested in working with data and making informed decisions, there are plenty of job opportunities. Pune offers a good environment for tech and data-related careers, and it’s a city with a growing demand for Data Science professionals. So, if you’re considering a career in Data Science, Pune can be a great place to explore your potential.
Mastering Data Science Tools
“Embark on a transformative journey into the world of data science with Digiperform’s ‘Mastering Data Science Tools’ . Dive deep into Python, R programming, and advanced machine learning algorithms, honing your skills to extract meaningful insights from data. Gain hands-on experience with industry-relevant tools, empowering yourself to tackle real-world data challenges. Elevate your expertise and career prospects in data science with Digiperform’s comprehensive and practical program.”
Data Science Salaries for Freshers in Pune
Data Science salaries for newcomers in Pune can vary depending on factors like skills, education, and the company. On average, freshers can expect to earn around INR 4-6 lakhs per year. However, those with a strong educational background or relevant experience may command higher salaries. Entry-level data scientists often receive competitive pay as companies value their skills in analyzing and interpreting data to make informed decisions. It’s essential to continuously learn and upgrade your skills to improve your earning potential in this field. Pune offers a growing job market for data scientists, making it an attractive place to start a data science career.
Current Job Openings in Data Science in Pune
There are currently several job openings in the field of Data Science in Pune. Many companies in Pune are looking for data scientists to help them analyze and make sense of data. These jobs require skills like data analysis, machine learning, and programming. If you have the right skills and qualifications, you can apply for these positions. Data science jobs can be found in various industries, including IT, healthcare, finance, and more. It’s a great opportunity for those who want to work with data and help businesses make better decisions. So, if you’re interested in a Data Science career, Pune has some exciting job opportunities for you. You can refer to these websites: Naukri.com, Linkedin.com, Turing.com, Indeed.com and many more.
FAQs: Data Science Course
What should you know before enrolling in a data science course?
It's important to have a grasp of programming languages like Perl, C/C++, SQL, Python, and Java. Among these, Python is the most commonly used language for organizing unstructured data in data science.
How much will you need to invest in a data science course?
The cost varies depending on the institute, but you can expect it to range from 25,000 to 1,10,000.
Who can take up a Data Science Course?
The course is open to anyone with a good understanding of programming. It's also suitable for students with backgrounds in mathematics, technology, engineering, and science.
What distinguishes Pune as an advantageous location for individuals looking to learn data science training in Pune?
Pune's prominence in IT, robust educational institutions, and collaborative industry ties distinguish it as an ideal setting for learning data science training. The city's diverse opportunities and cost-effectiveness further contribute to a conducive environment for individuals aiming to learn data science training in Pune.
Can you elaborate on the duration and format of the offers data science training in Pune?
Certainly! Digiperform offers data science training in Pune, spanning several weeks, with an online format for participants. The current mode prioritizes convenience, enabling learners to access high-quality data science education from the comfort of their location.
