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All Levels
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24 Weeks
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MIT Certification
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Industry Immersion
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Capstone Projects
Overview
Our Post Graduation in Data Science Course in Mumbai with AI & ML equips you with skills in data analysis, machine learning, and artificial intelligence. Through hands-on projects and case studies, gain the practical knowledge needed for high-demand roles in the tech industry.
- Data Scientist
- Data Engineer
- NLP Engineer
- Machine Learning Engineer
- RPA Developer
- AI Engineer
Targeted Job
Roles
Training and Methodology
By enrolling in this course, you'll gain access to -
Integrated Learning: - Combine data science, AI, and ML skills. - Hands-On Projects - Gain experience through practical tasks.
- Expert Instruction - Get trained by seasoned industry experts.
Why Choose This
Course?
Our Post Graduation in Data Science Course in Mumbai transforms your career through in-depth training in data science, AI, and advanced machine learning. Gain hands-on experience and industry insights to lead innovation in the world of data and technology.
Register Now-
100% Placement Assistance Program
Boost your job prospects with dedicated placement assistance.
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Real time projects
Sharpen your skills with real-world, hands-on training.
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Reviews and Feedback
Monitor your progress through regular feedback sessions.
Build in-demand skills with PG in Data Science in Mumbai
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Master advanced methods for data manipulation and analysis
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Build strong expertise in machine learning algorithms and models
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Gain proficiency in AI tools, technologies, and real-world applications
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Learn by doing with hands-on projects and practical case studies
Tools & Languages You'll Learn In PG in Data Science Course
Complete PG in Data Science Course Syllabus
Acquire In-Demand Skills in One Powerful Course
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Introduction to Data Science
- Overview of Data Science
- Data Science Fundamentals
- Data Manipulation and Analysis
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Python Programming
- Python Installation and Basics
- Syntax and Programming Structures
- Variables, Operators, Keywords, Expressions
- Decision Making: if, elif, else
- Loops: while, for, break, continue, pass
- Data Structures: List, Tuple, Dictionary, Set
- Functions and Modules
- Object Oriented Programming
- Exception Handling
- File Handling
- Web Scraping & Regular Expressions (RegEx)
- Case Study: IMDB Top 250 Movie Data Web Scraping
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Data Analysis and Visualization
- Libraries for Data Manipulation and Visualization
- Introduction to NumPy and its Functions
- Introduction to Pandas and its Functions
- Introduction to Matplotlib and Seaborn
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Machine Learning
- Introduction to Machine Learning
- What is Machine Learning (ML)?
- Applications of Machine Learning (ML)
- Supervised vs Unsupervised ML
- Regression vs Classification
- Exploratory Data Analysis (EDA)
- Handling Null Values
- Detecting and Removing Outliers
- Feature Scaling: Standardization & Normalization
- Regression Techniques
- Introduction to Linear Regression
- Simple, Multiple & Polynomial Regression
- Error Functions: MAE, MSE, RMSE
- Accuracy with R² Score
- Case Study: Car Price Prediction (Cars24 Dataset)
- Overfitting vs Underfitting
- Bias-Variance Tradeoff
- Regularization: Ridge & Lasso
- Cross-Validation Techniques
- Classification Algorithms
- Logistic Regression
- Sigmoid Function, Parameters, ROC AUC Curve
- Confusion Matrix: Precision, Recall, F1 Score
- K-Nearest Neighbors (KNN)
- Classification & Regression, Pros & Cons
- Support Vector Machine (SVM)
- Hyperplanes, Support Vectors, Kernels
- Naive Bayes Classifier
- Text Classification & NLP Pipeline
- Case Study: Spam Mail Classification
- Logistic Regression
- Decision Trees & Ensemble Methods
- Decision Tree Classifier & Regressor
- Gini Index, Entropy, Pruning Techniques
- Ensemble Learning:
- Bagging, Random Forest
- AdaBoost, XGBoost, Gradient Boost
- Unsupervised Learning
- Clustering: K-Means, Hierarchical
- Association Rules
- Principal Component Analysis (PCA)
- Project Deployment using Flask
- Case Studies
- Breast Cancer Detection
- Fraud Detection
- Introduction to Machine Learning
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Artificial Intelligence
- AI Concepts and Techniques
- Neural Networks and Deep Learning Basics
- AI Applications and Tools
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Deep Learning
- Artificial Neural Networks (ANN)
- Deep Learning vs Machine Learning
- Forward & Backward Propagation
- Activation Functions and Optimizers
- Overfitting Handling: Dropout, Early Stopping
- Case Study: Digit Classification with ANN
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Computer Vision
- Image Preprocessing
- Edge Detection
- CNN: Convolutional & Pooling Layers
- Image Classification with CNN
- Image Augmentation
- Optical Character Recognition
- Case Study -: Hand Gesture Volume Controller (MediaPipe)
- Case Study -: AI Exercise Counter (MediaPipe)
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Final Course Project
- Comprehensive Capstone Project in Data Science and AI
Want to
experience
excellence?
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Recruiters Seeking Skilled Post Graduation in Data Science Students
Gain a Competitive Edge withPG in Data Science Certification
On course completion, earn the PG in Data Science Certification, a recognized credential that validates your expertise and opens new career doors.
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Get in touch today
What Our Students Say
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Faculty offering personal attention to struggling students is more satisfying compared to other institutes.
Rahul Agawane
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I'm very thankful to MIT staff for their cooperative support throughout the entire course.
Mohit Talar
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There are many demanding software programs, and in my experience, MIT is one of the best choice.
Akshay Kadam
Frequently Asked Questions
Find all the essential details about our Post Graduation in Data Science Course in Mumbai. Explore key topics and choose the course that matches your goals and interests. Let us help you take the right step in your educational journey.
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Who can enroll in the Post Graduation in Data Science Course in Mumbai?
Graduates from any field can enroll, especially those with backgrounds in IT, Engineering, or Mathematics. No prior coding experience is required.
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What will I learn in the Post Graduation in Data Science Course in Mumbai?
You will gain expertise in Python, Data Analysis, SQL, Machine Learning, Artificial Intelligence, Power BI, and other essential tools used in data science.
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Will I work on real-world projects during the Post Graduation in Data Science Course?
Yes, the course includes real-time projects and case studies designed to build hands-on skills and a strong professional portfolio.
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Will I receive a certificate after completing the Post Graduation in Data Science Course?
Yes, upon successful completion, you will receive a government-recognized Post Graduation certificate in Data Science.
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Do you offer placement assistance after the course is completed?
Yes, we provide complete placement support to help your secure job opportunities in the data science, AI, and machine learning fields.