Master
Data Science Courses In Mumbai
India’s Only Data Science Training Program created to help you to build a successful career in Data Science from scratch.
Top 10 Data Science Courses in Mumbai with Placements
Are you searching for the best data science course in Mumbai that also offers good job opportunities? Well, your search ends here!
Mumbai, known as the financial hub of India, is a lively and diverse city that combines a rich history with bustling trade and vibrant culture. Originally made up of seven islands, Mumbai has transformed into a major center for business and finance, playing a crucial role in the country’s economy. With a population exceeding 20 million, the city is famous for its impressive skyline, historical landmarks, and the thriving Bollywood film industry.
Mumbai, with its resilient and entrepreneurial spirit, provides an excellent backdrop for those interested in diving into the field of data science. The city’s lively environment is enhanced by its top-notch educational institutions, creating an ideal setting for individuals to refine their skills and pursue a career in data science. As business and technology rapidly evolve, adopting data science becomes essential for companies in Mumbai. By integrating data-driven approaches, businesses can gain a competitive advantage, spot market trends, and stimulate innovation. Moreover, collaborating with local educational institutions ensures a constant supply of skilled professionals, contributing to the flourishing data science community in Mumbai.
Comparison Chart: Top 10 Data Science Courses in Mumbai with Placement.
If you are looking for the best and most reliable information regarding Data Science courses in Mumbai , 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 | Yes |
| 2 | Techdata Solutions | Online /Offline | 2010 | Rs. 25,000 – Rs. 30,000 | Yes |
| 3 | Edvancer | Online | 2013 | Self-Paced: 24,995 Live Online: 29,995 |
Yes |
| 4 | DataMites | Online /Offline | 2016 | ₹ 42,948 – 80,873 | Yes |
| 5 | DeveLearrn | Online /Offline | 2016 | 2,00,000 + GST | Yes |
| 6 | IMS Proschool | Online /Offline | 2018 | ₹ 80,000 | Yes |
| 7 | GAMAKA AI SOLUTIONS | Online /Offline | 1999 | ₹ 69,500/- | Yes |
| 8 | Imarticus Learning | Online | NA | ₹ 331,743 | Yes |
| 9 | Boston Institute of Analytics | Online /Offline | NA | ₹ 1,55,000 | Yes |
| 10 | Aegis | Online /Offline | 2002 | NA | Yes |
What is Data Science and its Importance?
Data Science is a multidisciplinary field that combines techniques from statistics, mathematics, computer science, and domain-specific knowledge to extract valuable insights and knowledge from data. It involves the use of various tools and algorithms to analyze, interpret, and visualize data, enabling informed decision-making.
Components of Data Science
Data Collection: The first step in the data science process involves gathering relevant and meaningful data from diverse sources, including structured and unstructured datasets.
Data Cleaning and Preprocessing: Raw data is often noisy and requires meticulous cleaning and preprocessing to ensure accuracy and reliability in subsequent analyses.
Exploratory Data Analysis (EDA): EDA involves statistical and visual methods to uncover patterns, trends, and relationships within the data.
Model Building: This phase utilizes machine learning algorithms to create predictive models or classifiers based on the patterns identified during the EDA.
Model Evaluation and Deployment: Models are rigorously evaluated for performance, and successful ones are deployed for practical use in the real world.
Importance of Data Science
Informed Decision-Making: By analyzing historical data and predicting future trends, organizations can make informed decisions, thereby mitigating risks and optimizing strategies.
Business Intelligence: Data Science empowers businesses to gain a competitive edge by extracting actionable insights, identifying market trends, and understanding customer behavior.
Personalization: In the era of personalization, Data Science plays a crucial role in tailoring products and services to individual preferences, enhancing user experience.
Innovation: Data-driven insights fuel innovation by providing a deeper understanding of consumer needs, market dynamics, and emerging opportunities.
Efficiency and Cost Reduction: Through automation and optimization, Data Science contributes to operational efficiency, reducing costs and resource wastage.
Top 10 Data Science Courses in Mumbai
1. Digiperform
Digiperform is the biggest training provider in India that focuses specifically on digital skills. Our courses are put together and kept up-to-date by a team of over 50 experts in the digital marketing field. We make sure to include the input and recommendations of 450 experienced professionals from companies all across Asia.
Why Choose Digiperform Online Data Science Course?
In today’s data-driven world, mastering the art of Data Science is not just an advantage, but a necessity. With countless online courses available, why should you choose Digiperform for your Data Science journey? Here are compelling reasons that set Digiperform apart:
Comprehensive Curriculum: Digiperform’s Online Data Science Course offers a comprehensive curriculum designed by industry experts. From the fundamentals to advanced concepts, our course covers a wide range of topics, ensuring you acquire a robust understanding of Data Science.
Practical Learning Experience: We believe in learning by doing. Our course emphasizes hands-on projects and real-world applications, allowing you to apply theoretical knowledge to practical scenarios. Gain valuable experience that employers value.
Expert Trainers: Learn from the best in the industry. Digiperform’s Online Data Science Course is led by experienced trainers who bring their real-world insights into the virtual classroom. Benefit from their expertise and stay updated with the latest industry trends.
Flexible Learning: Life can be busy, and we understand that. Our online course provides the flexibility to learn at your own pace and from the comfort of your home. Whether you are a working professional or a student, our course adapts to your schedule.
Industry-Relevant Projects: Stand out in the competitive job market with hands-on projects that mirror real-world challenges. These projects not only enhance your skills but also serve as a valuable addition to your portfolio, showcasing your proficiency to potential employers.
Placement Assistance: Digiperform is committed to your success. Our course includes placement assistance to help you connect with potential employers. Benefit from our network of industry partners and increase your chances of landing your dream job in the field of Data Science.
Continuous Support: Learning doesn’t stop when the course ends. Digiperform provides continuous support, ensuring that you stay updated with the latest advancements in Data Science. Join our community of learners and professionals to foster ongoing collaboration and growth.
Certification: Upon successful completion of the course, receive a certification from Digiperform that is recognized by industry leaders. Showcase your skills and knowledge with confidence as you embark on a fulfilling career in Data Science.
Data Science Online Course: Advantages
Digiperform’s Data Science online course stands out as a beacon in the realm of online education, offering a myriad of advantages that propel learners towards success. Let’s delve into the key benefits that make Digiperform’s Data Science course a transformative journey:
Comprehensive Curriculum: Digiperform’s Data Science online course is crafted with a comprehensive curriculum that covers the entire spectrum of data science. From foundational concepts to advanced analytics and machine learning, the course ensures that learners acquire a holistic understanding of the subject.
Industry-Relevant Content: Stay ahead of the curve with Digiperform’s industry-relevant content. The course is designed in collaboration with seasoned data scientists and industry experts, ensuring that learners acquire skills and knowledge that are directly applicable in real-world scenarios.
Flexibility and Convenience: Life is dynamic, and Digiperform understands that. The online nature of the course provides learners with the flexibility to set their own pace of learning. Whether you are a working professional or a student, you can seamlessly integrate the course into your schedule.
Hands-on Projects and Case Studies: Theory meets application in Digiperform’s Data Science course through hands-on projects and case studies. This practical approach equips learners with the skills to solve complex problems, analyze data, and make informed decisions – skills that are highly valued in the industry.
Expert Faculty: Learn from the best in the field. Digiperform’s online course boasts an expert faculty comprising seasoned data scientists and industry leaders. Benefit from their rich experience as they guide you through the intricacies of data science.
Interactive Learning Environment: Engage in an interactive and collaborative learning environment. The course leverages cutting-edge online tools and platforms to facilitate discussions, peer interaction, and mentorship, fostering a dynamic community of learners.
Career Support and Placement Assistance: Digiperform is committed to your success beyond the course completion. Avail of career support services and placement assistance, gaining access to job opportunities and networking events that can catalyze your entry or progression in the data science field.
Lifetime Access to Course Material: Once enrolled, learners enjoy lifetime access to the course material. Stay updated with the latest advancements in data science, revisit key concepts, and continue learning even after completing the course.
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. Techdata Solutions
Techdata Solutions is the go-to place for top-notch Data Science courses in Mumbai! What makes their institute special is their focus on practical, industry-specific programs taught in engaging ways.
The faculty is a standout, consisting of seasoned experts who bring real-world experience to the classroom, ensuring you’re learning from the best. They’re committed to your career journey, providing strong support and plenty of opportunities for hands-on learning. At Techdata Solutions, they value flexibility, giving learners the chance to go at their own pace comfortably.
Course Curriculum
- Python for Data Science
- R programming for Data Science
- Statistics
- Machine Learning and Artificial Intelligence Using R & Python
- Tableau For Data Visualization
- Projects & Assignments
Course Highlights:
- Industry savvy trainer with More than 10+ years experience with the technology.
- 120+ hrs of training session for the trainees.
- 5 Capstone Project & Client Project
- 30+ hours of separate assignment and real time Project
- 10+ Real Time Projects.
- 24*7 support
- 100% Placement assistance and Certificate would be awarded at the end of the program by Techdata Solution.
| Name | Techdata Solutions |
| Course Duration | 3 Months – 9 Months |
| Website | https://www.techdatasolution.co.in/ |
| Address: | Kohinoor City Mall, G 11, off Lal Bahadur Shastri Marg, Kamani, Premier Residencies, Kurla, W, Mumbai, Maharashtra 400070 |
| Fees: | Rs. 25,000 – Rs. 30,000 |
| Avg. Google Rating: | 4.8 (411) |
| Offering Data Science Training in Mumbai Since: | 2010 |
| Branches in India: | 2 |
| Flagship Course Names: | TSADSC |
| Exclusive Data Science Institute: | Yes |
| Training Delivery Model | Online /Offline |
3. Edvancer
Edvancer is a top-notch institute that started in 2013, focusing on practical, hands-on, and short-term certificate courses designed and taught by industry experts.
They’re all about giving flexible learning, anytime and anywhere. They want their students to get the best value for their education, so they customize courses to match immediate career goals. In Mumbai, they’ve become a go-to place for aspiring professionals, especially in the field of data science, creating a lively hub of knowledge.
Course Curriculum
- Business Analytics in R
- Machine Learning in Python
- Data Analysis in SQL
Course Highlights
- 150 Hrs of online classes on weekends or video based learning with support
- Hands-on training with 70% practical content
- 150 Hours of assignments & 9 industry projects
- 15 Capstone Project
- 24×7 lifetime access to online videos and content
- Top class faculty from premier companies like EY, Fractal, Accenture etc.
- Get industry recognised certificate with full job assistance
| Name | Edvancer |
| Course Duration | 150 Hours Learning – 150 Hours assignments & projects |
| Website | https://edvancer.in/course/data-science-course/ |
| Address: | 4th Floor, SM Centre, C/o Pearl Academy Opp Marol Naka Metro Station, Andheri – Kurla Rd, Andheri East, Mumbai, Maharashtra 400059 |
| Fees: | Self-Paced: 24,995 + GST Live Online: 29,995 + GST |
| Avg. Google Rating: | 4.8 (463) |
| Offering Data Science Training in Mumbai Since: | 2013 |
| Branches in India: | NA |
| Flagship Course Names: | Certified Data Science Specialist Course |
| Exclusive Data Science Institute: | Yes |
| Training Delivery Model | Online |
4. DataMites
DataMites, a leading institute offering the best Data Scientist certification course in Mumbai. Delve into the intricacies of Statistics, Machine Learning, and Business Domain Knowledge through their comprehensive online and offline programs. With a primary focus on python machine learning and inclusive support for R, the course ensures a 360-degree learning experience.
Benefit from elite professors, hands-on projects, and dedicated Placement Assistance, backed by the accreditation from the International Association of Business Analytics Certification (IABAC). Elevate your career with a globally recognized certification and unparalleled expertise in the field.
Course Curriculum
- PYTHON FOUNDATION
- DATA SCIENCE FOUNDATION
- MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE EXPERT
- ADVANCED DATA SCIENCE
- VERSION CONTROL WITH GIT
- BIG DATA FOUNDATION
- CERTIFIED BI ANALYST
- DATABASE: SQL AND MONGODB
- ARTIFICIAL INTELLIGENCE FOUNDATION
Course Highlights
- IABAC® & NASSCOM® Certification
- 8-Month | 700 Learning Hours
- 120-Hour Classroom Sessions
- 25 Capstone Project & 1 Client Project
- Cloud Lab Access
- Internship + Job Assistance
| Name | DataMites |
| Course Duration | 8-Month | 700 Learning Hours |
| Website | https://datamites.com/data-science-training/certified-data-scientist// |
| Address: | Divine Hub, Brahans Business Park, Paperbox road, 303, Off Mahakali Caves Rd, Andheri East, Mumbai, Maharashtra 400053 |
| Fees: | ₹ 42,948 – 80,873 |
| Avg. Google Rating: | 4.9 (156) |
| Offering Data Science Training in Mumbai Since: | 2016 |
| Branches in India: | 1 |
| Flagship Course Names: | CERTIFIED DATA SCIENTIST COURSE |
| Exclusive Data Science Institute | Yes |
| Training Delivery Model | Online /Offline |
5. DeveLearrn
Explore the excellence of data science education at DeveLearn Institute in Mumbai. Known for its state-of-the-art courses carefully created by industry experts, the institute offers the flexibility of both online and offline training. This allows students to engage in a rewarding learning experience from any location.
DeveLearn’s prestigious connections with NASSCOM and well-regarded universities like PAHSU Solapur, BCNMU Jalgaon, and Gondwana University Gadchiroli highlight its dedication to providing a comprehensive curriculum aligned with industry needs. Demonstrating their commitment, the institute also provides scholarships to deserving students, giving aspiring data scientists the opportunity to thrive in their education and careers.
Course Curriculum:
- Python Machine Learning
- SQL
- Statistics & Machine Learning
- Artificial Intelligence
Course Highlights:
- 1 on 1 Sessions
- Mentor Guidance
- Capstone Project
- Practical Projects
| Name | DeveLearrn |
| Course Duration | 1 Year 2 Months |
| Website | https://www.develearn.in/courses/mumbai/data-science-courses-in-mumbai |
| Address: | 1st Floor, Mohan Nivas, 472/21, Kings Cir, opposite Maheshwari Udyan, Matunga (C.R.), Mumbai, Maharashtra 400019 |
| Fees: | 2,00,000 + GST |
| Avg. Google Rating: | 4.8 (787) |
| Offering Data Science Training in Mumbai Since: | 2016 |
| Branches in India: | 1 |
| Flagship Course Names: | DeveLearrn Certified Data Science with AI |
| Exclusive Data Science Institute: | Yes |
| Training Delivery Model | Online /Offline |
6. IMS Proschool
IMS Proschool, a trailblazing institute founded in 1977, has been a leader in shaping successful careers by focusing on student growth. The institute provides extensive courses in Finance, Accounts, and Digital Transformation. Through valuable partnerships with respected organizations like AIMA, Jain University, NSDC, CIMA, ACCA, CFA, and NSE Academy, IMS Proschool is known for delivering high-quality education. Explore their skillful programs, which include cutting-edge courses in data science, and start a transformative journey to unlock your full potential.
Course Curriculum:
- PYTHON MACHINE LEARNING
- SQL
- Tableau
- PowerBI
Course Highlights
- Placement Assistance
- Learn Trending Tools
- Flexible Learning
- Capstone Project
- Practical Knowledge
| Name | IMS Proschool |
| Course Duration | 6 Months |
| Website | https://proschoolonline.com/data-science-course/ |
| Address: | Plot No 25 & 26, G-Square Business Park, Office No 704, 7th Floor, opposite Sanpada Railway Station Road, Sector 30A, Sanpada, Navi Mumbai, Maharashtra 400705 |
| Fees: | ₹ 80,000 |
| Avg. Google Rating: | 4.5 (341) |
| Offering Data Science Training in Mumbai Since: | 2018 |
| Branches in India: | 12 |
| Flagship Course Names: | IMS Proschool’s Data Science Course |
| Exclusive Data Science Institute: | Yes |
| Training Delivery Model | Online /Offline |
7. GAMAKA AI SOLUTIONS
GAMAKA AI SOLUTIONS, a premier training center at the forefront of shaping careers in Mumbai. Led by seasoned industry professionals, They specialize in offering cutting-edge courses, with a primary focus on Python and Data Science.
Their commitment to “Optimum Satisfaction towards our Students” drives us to transform the lives of young aspirants. Discover excellence in data science education with our expert-led courses, ensuring a holistic learning experience for those seeking the best in Mumbai.
Course Curriculum
- Python – Basic & Advanced
- SQL – MySql with Workbench
- NoSQL – MongoDB
- Mathematics & Statistics
- Machine Learning and Artificial Intelligence
- Deep Learning
- Data Science – Advanced
- Python machine learning
- Computer Vision (CV)
- Natural language processing (NLP)
- Tableau
- Power BI Desktop
- Big Data – Hadoop & Spark (Python track)
- AWS (Free)
- 15 Projects
- Internship – 3 months (Internal/Tie-ups)
Course Highlights
- PlaFocus on increasing the Employability Ratio of all the students
- Tailor-made courses for the student’s career plan.
- Sessions on Interview Techniques and Soft Skills.
- Over 500+ IT Client Base across India
- Provision of INTERNSHIPS with Letter of Experience.
| Name | GAMAKA AI SOLUTIONS |
| Course Duration | 6 Months |
| Website | https://gamakaai.com/data-science-course-in-pune-data-science-classes-in-pune-021023fs/ |
| Address: | 3D4, 3rd Floor, D-Wing, Gundecha Onclave, Next to Post Office Kherani Road, Sakinaka, Andheri East, Mumbai, Maharashtra 400072 |
| Fees: | ₹ 69,500/- |
| Avg. Google Rating: | 4.3(12) |
| Offering Data Science Training in Mumbai Since: | 1999 |
| Branches in India: | 3 |
| Flagship Course Names: | Diploma in Full Stack Data Science & Artificial Intelligence |
| Exclusive Data Science Institute: | Yes |
| Training Delivery Model | Online /Offline |
8. Imarticus Learning
Imarticus Learning Institute, established in 2012, stands as a premier career-oriented training institution in Mumbai. With a focus on financial services, analytics, AI, business analysis, and core technology, the institute has educated over 35,000 individuals. Renowned for pioneering “Prodegrees” in collaboration with global leaders like IBM, KPMG, and Barclays’ Rise Mumbai, Imarticus offers industry-focused, hands-on courses.
Their commitment to revolutionizing learning is evident through partnerships with over 120 firms, including HDFC Bank, Goldman Sachs, and Accenture, ensuring students acquire in-demand skills and emerge as highly employable professionals.
Course Curriculum:
- Python – Basic & Advanced
- SQL – MySql with Workbench
- NoSQL – MongoDB
- Mathematics & Statistics
- Machine Learning and Artificial Intelligence
- Deep Learning
- Data Science – Advanced
- Tableau
Course Highlights
- 100% Job Assurance
- Resume Building
- Profile Enhancement
- Career Mentoring
| Name | Imarticus Learning |
| Course Duration | 8 Months |
| Website | https://imarticus.org/postgraduate-program-in-data-science-analytics/ |
| Address: | Imarticus Learning 2nd Floor, Shrushti Pride, Ram Maruti Rd, above Bank of Baroda, opposite Rajmata Vada Pav Center, Thane West, Maharashtra 400604 |
| Fees: | ₹ 331,743 |
| Avg. Google Rating: | 4.5 (600) |
| Offering Data Science Training in Mumbai Since: | NA |
| Branches in India: | 16 |
| Flagship Course Names: | Postgraduate Program In Data Science And Analytics |
| Exclusive Data Science Institute: | Yes |
| Training Delivery Model | Online |
9. Boston Institute of Analytics
Boston Institute of Analytics (BIA®), the globally acclaimed leader in international training for business analytics, business management, artificial intelligence, and emerging technologies. With training campuses spanning the US, UK, Europe, and Asia, BIA® stands as the world’s top-ranked institute, endorsed by industry experts.
Boasting an industry-approved curriculum, BIA® ensures students and professionals become job-ready through hands-on training, benefit from experienced industry professionals, and gain coveted alumni status. Recognized consistently by esteemed forums like Business Asia and Analytics Insight, BIA® guarantees a pathway to success with 100% placement assistance and a commitment to unified learning.
Course Curriculum:
- Python – Basic & Advanced
- SQL – MySql with Workbench
- Machine Learning and Artificial Intelligence
- Deep Learning
- Data Science – Advanced
- Tableau
Course Highlights:
- INDUSTRY APPROVED CURRICULUM
- BECOME INDUSTRY READY
- BIA® ALUMNI STATUS
- LEARN FROM EXPERIENCED INDUSTRY PROFESSIONALS
- LEARN FROM SCRATCH, OR NOT!
- HANDS-ON TRAINING
- 100% PLACEMENT ASSISTANCE
- UNIFIED LEARNING
| Name | Boston Institute of Analytics |
| Course Duration | 10 Months |
| Website | https://www.bostoninstituteofanalytics.org/thane/data-science-and-artificial-intelligence |
| Address: | Level 4 Kalpataru Prime, Ambica Nagar, Wagle Industrial Estate, Thane, Maharashtra 400604 |
| Fees: | ₹ 1,55,000 |
| Avg. Google Rating: | 5.0 (141) |
| Offering Data Science Training in Mumbai Since: | NA |
| Branches in India: | NA |
| Flagship Course Names: | DATA SCIENCE & ARTIFICIAL INTELLIGENCE |
| Exclusive Data Science Institute: | Yes |
| Training Delivery Model | Offline/Online |
10. Aegis
Aegis, a pioneering institute at the forefront of exponential technologies, stands as a testament to successful industry-academia collaboration. Established in 2002 with support from Bharti Airtel, Aegis has become a leader in providing high-quality education in Data Science, Big Data, AI, Cyber Security, Blockchain, and more. Notably, the institute, in partnership with IBM, introduced India’s first Post Graduate Program (PGP) in Data Science, Business Analytics, and Big Data in 2015. Aegis continues to be a beacon of excellence, shaping cross-functional technology leaders and offering some of the best Data Science courses in Mumbai.
Course Curriculum:
- Data Science
- AI, Machine Learning
- Deep Learning
- Big Data
- Business Analytics
- Predictive Analytics
- NLP
- Marketing Analytics
- Financial Analytics
- Operations Analytics field.
Course Highlights:
- Live Industry Projects
- Financial Aid / Scholarship for meritorious students
- Globally accepted credit structure
| Name | Aegis |
| Course Duration | 1 Year |
| Website | https://aegis.edu.in/post-graduate-program-in-data-science-business-analytics-ai.html |
| Address: | Kukreja Centre, 11th Floor, B Wing, Plot 13, Sector 11 Central Business District (CBD Belapur, Navi Mumbai, Maharashtra 400614 |
| Fees: | NA |
| Avg. Google Rating: | 4.4 (98) |
| Offering Data Science Training in Mumbai Since: | 2002 |
| Branches in India: | NA |
| Flagship Course Names: | Post Graduate program Data Scientist, Business Analyst, or AI Engineer |
| Exclusive Data Science Institute: | Yes |
| Training Delivery Model | Offline/Online |
Who should learn Data Science in Mumbai?
Data Science. Whether you’re a seasoned professional looking to upskill or a fresh graduate eager to carve a niche in the competitive job market, learning Data Science with Digiperform could be your ticket to success.
Aspiring Data Scientists: Are you fascinated by the power of data and its ability to drive decisions? If the world of algorithms, machine learning, and predictive analytics excites you, then diving into Data Science is the natural next step. Digiperform offers a comprehensive program that covers the entire data science lifecycle, empowering you to transform raw data into actionable insights.
IT Professionals and Developers: For those already immersed in the tech world, adding Data Science to your skill set can open up new avenues. Digiperform’s hands-on training ensures that you not only understand the theoretical concepts but also gain practical experience in implementing data science solutions. This is the perfect opportunity to stay ahead in the rapidly evolving technology landscape.
Marketing and Business Analysts: In a city where businesses thrive on data-driven strategies, marketing and business analysts can elevate their careers by harnessing the power of data. Digiperform’s Data Science courses provide a strategic blend of technical and business acumen, ensuring you can analyze trends, forecast outcomes, and contribute meaningfully to your organization’s success.
Entrepreneurs and Business Owners: For entrepreneurs navigating the dynamic business environment of Mumbai, understanding data is key to making informed decisions. Digiperform’s Data Science training equips you with the skills to leverage data for business growth, optimize processes, and gain a competitive edge in your industry.
Recent Graduates and Job Seekers: Entering the job market in Mumbai can be a daunting task, but with the right skills, you can stand out. Digiperform’s Data Science courses provide a solid foundation for recent graduates, enabling them to showcase their analytical prowess to potential employers and secure roles in high-demand fields.
Why should you study Data Science?
High Demand for Data Professionals: Data science is at the forefront of the digital age, and businesses across industries are increasingly relying on data-driven insights for decision-making. As a result, there is a soaring demand for skilled data professionals who can interpret and derive valuable insights from data.
Career Opportunities: By studying data science with Digiperform, you open doors to a myriad of career opportunities. Whether you aspire to be a data analyst, data scientist, machine learning engineer, or business intelligence analyst, acquiring data science skills can pave the way for a rewarding and dynamic career.
Industry-Relevant Curriculum: Digiperform’s data science programs are designed to be highly relevant to industry needs. The curriculum is carefully crafted to cover essential topics such as statistical analysis, machine learning, and data visualization, ensuring that you acquire the skills demanded by today’s employers.
Practical Hands-On Learning: Data science is best learned through practical application. Digiperform emphasizes hands-on learning experiences, allowing you to work on real-world projects. This practical exposure ensures that you not only grasp theoretical concepts but also develop the skills needed to tackle practical challenges in the field.
Stay Ahead in the Digital Age: In a rapidly evolving digital landscape, staying ahead of the curve is crucial. Data science is a key driver of innovation, and by studying it with Digiperform, you position yourself at the forefront of technology, gaining the skills needed to navigate and excel in the digital age.
Salary Advancement: The demand for data professionals has led to competitive salaries in the field. By acquiring data science skills through Digiperform, you enhance your earning potential and increase your value in the job market.
Versatility Across Industries: Data science is not confined to a specific industry; its applications are diverse. Whether it’s healthcare, finance, marketing, or any other sector, the skills you acquire with Digiperform are transferable, making you a valuable asset across various industries.
Networking Opportunities: Digiperform provides a platform for networking with industry experts and like-minded individuals. This network can be instrumental in gaining insights, finding job opportunities, and staying informed about industry trends.
Career Scope in Data Science in Mumbai
Mumbai, being a major financial and economic hub in India, offers significant career opportunities in various sectors, including data science. The field of data science is rapidly growing, and Mumbai, with its diverse industries, is a hotspot for professionals in this domain. Here are some aspects highlighting the career scope in data science in Mumbai:
Industry Demand: Many industries in Mumbai, such as finance, healthcare, e-commerce, and entertainment, generate massive amounts of data. This has led to a growing demand for skilled data scientists who can extract valuable insights from these datasets.
Financial Sector: Mumbai is the financial capital of India, and financial institutions are increasingly leveraging data science for risk management, fraud detection, and customer analytics. This creates numerous opportunities for data scientists in the banking and finance sector.
Healthcare: With a robust healthcare infrastructure, there is a rising need for data scientists to analyze medical data, optimize healthcare operations, and contribute to advancements in medical research.
E-commerce and Retail: Mumbai has a vibrant e-commerce and retail ecosystem. Data science is crucial for these industries to enhance customer experience, optimize supply chains, and personalize marketing strategies.
Media and Entertainment: The media and entertainment industry in Mumbai relies heavily on data for content recommendation, audience analysis, and marketing strategies. Data scientists play a crucial role in making sense of the vast amounts of data generated in this sector.
Start-up Ecosystem: Mumbai has a thriving start-up ecosystem, and many start-ups focus on data-driven solutions. This provides ample opportunities for data scientists to work on innovative projects and contribute to the growth of emerging companies.
Educational Opportunities: Mumbai has reputed educational institutions offering data science courses and certifications. This contributes to a pool of skilled professionals entering the workforce and enhances the overall talent pool in the city.
Networking Opportunities: Mumbai hosts numerous industry events, conferences, and meetups related to data science. These events provide a platform for professionals to network, share knowledge, and stay updated on the latest trends in the field.
Remote Work Opportunities: The COVID-19 pandemic has accelerated the adoption of remote work. Many data science roles now offer flexibility, allowing professionals to work from Mumbai for companies located elsewhere or even as freelancers.
Competitive Salaries: Given the high demand for skilled data scientists in Mumbai, salaries in this field are competitive, making it an attractive career choice for individuals with the right skills and qualifications.
Mastering Data Science Tools
“Embark on an engaging journey into the world of data science with Digiperform’s ‘Mastering Data Science Tools’ course. Immerse yourself in Python, R programming, and the latest machine learning methods, improving your skills to extract meaningful insights from data. Gain practical expertise with industry-relevant tools, equipping yourself to address real-world data challenges. Elevate your abilities and expand your career prospects in the data science field through Digiperform’s comprehensive and practical program.”
Data Science Salaries for Freshers in Mumbai
| Designation | Average Monthly Salary |
| Data Analyst | Rs. 35,000 – 45,000 |
| Junior Data Scientist | Rs. 40,000 – 50,000 |
| Machine Learning Engineer | Rs. 45,000 – 55,000 |
| Data Engineer | Rs. 38,000 – 48,000 |
| Business Analyst | Rs. 36,000 – 46,000 |
Current Job Openings in Data Science in Mumbai
In the vibrant city of Mumbai, the demand for skilled data scientists is on the rise, and job seekers are actively exploring various online platforms to find lucrative opportunities in the field. Several job hunting sites, such as Naukri.com, Linkedin.com, Turing.com, Indeed.com, and more, serve as valuable resources for individuals aspiring to establish a career in Data Science. These platforms aggregate job listings from diverse industries, including IT, healthcare, finance, and others, offering a comprehensive array of opportunities for data enthusiasts.
Job seekers leverage these platforms not only to find relevant job openings but also to network with professionals in the data science community, stay updated on industry trends, and enhance their skill sets. The wealth of information available on these websites, including company profiles, job descriptions, and user reviews, empowers applicants to make informed decisions about their career paths. Aspiring data scientists in Mumbai can tap into these resources to discover exciting prospects, connect with potential employers, and ultimately propel their careers forward in the dynamic and evolving field of Data Science.
FAQs: Data Science Course
How does Digiperform's Data Science Course stand out from other training programs?
Digiperform's Data Science Course stands out through a comprehensive curriculum that combines theoretical knowledge with hands-on practical experience. Our instructors are industry experts with extensive experience, ensuring a real-world understanding of data science applications. The course emphasizes practical skills development through live projects and case studies, providing students with valuable experience for the workforce. Additionally, Digiperform offers post-training support and assistance in job placement, enhancing the transition from learning to a successful career. The program's flexibility, including both online and part-time options, caters to diverse learner needs, making it accessible for working professionals and students alike. With a focus on the latest tools and technologies, our Data Science Course ensures students are equipped with the most relevant skills demanded by the industry.
Are there any live projects or case studies included in the course to apply theoretical knowledge?
Yes, Digiperform's Data Science Course is designed to provide practical experience through live projects and case studies. Students have the opportunity to apply theoretical knowledge to real-world scenarios, enhancing their problem-solving skills and gaining hands-on experience in data analysis. These projects are carefully curated to simulate industry challenges, ensuring that participants are well-prepared for the dynamic field of data science. The inclusion of live projects adds a valuable dimension to the learning process, allowing students to build a robust portfolio and showcase their skills to potential employers.
Is there a flexible schedule for working professionals to pursue the Data Science Course part-time?
Yes, Digiperform understands the needs of working professionals and offers a flexible part-time schedule for the Data Science Course. The program is designed to accommodate the busy schedules of individuals with full-time jobs, allowing them to balance work and learning effectively. With evening and weekend classes, participants can engage in the course at their convenience without compromising their professional commitments. This flexibility ensures that working professionals can acquire valuable data science skills without disrupting their work routines, making it a convenient choice for career advancement in the field.
Is the certification internationally recognized, and does it hold value in the job market?
Yes, Digiperform's Data Science certification is internationally recognized, providing a globally acknowledged qualification. Employers value this certification in the job market, as it signifies comprehensive training in data science skills. Digiperform's curriculum aligns with industry standards, ensuring that certified individuals possess practical and in-demand expertise. The certification holds weight in diverse sectors, enhancing job prospects and opening doors to opportunities worldwide. Alumni have successfully secured positions in reputed organizations, attesting to the credibility and relevance of Digiperform's Data Science certification in the competitive job market.
Can I showcase my certification on professional networking platforms like LinkedIn?
Certainly! Upon successful completion of the Digiperform Data Science Course, you will receive a certification that you can proudly showcase on professional networking platforms like LinkedIn. This certification not only validates your expertise but also enhances your professional profile, making you stand out to potential employers and industry peers. Displaying your Digiperform certification on LinkedIn demonstrates your commitment to continuous learning and highlights your proficiency in the dynamic field of data science. It serves as a valuable asset in building a credible online presence and attracting career opportunities within the data science community.
What types of tools and technologies will be covered in the Data Science Course curriculum?
In Digiperform's Data Science Course curriculum, you can expect comprehensive coverage of essential tools and technologies crucial for a successful career in data science. The program delves into popular programming languages such as Python and R, emphasizing their application in data manipulation, analysis, and visualization. Students will gain proficiency in utilizing advanced statistical tools, including libraries like NumPy and Pandas. The course also incorporates machine learning frameworks like TensorFlow and Scikit-Learn for predictive modeling. Additionally, hands-on experience with data visualization tools such as Tableau is integrated, ensuring a well-rounded skill set for real-world data science applications. Through practical exercises and projects, participants develop proficiency in leveraging these tools to extract valuable insights from complex datasets.
Is there an option for a demo class or trial period before enrolling in the full Data Science Course?
Yes, Digiperform understands the importance of making informed decisions. We offer a demo class or trial period for our Data Science Course, allowing prospective students to experience the teaching style, curriculum, and interact with instructors. This provides a firsthand look at the course structure and content, helping individuals gauge if it aligns with their learning preferences and goals. Contact our admissions team to schedule a demo class and explore the exciting world of data science with Digiperform.
