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All Levels
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36 Weeks
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MIT Certification
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Industry Immersion
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Capstone Projects
Overview
Our Data Science and Analytics Course in Mumbai and Navi Mumbai is designed to provide a comprehensive understanding of data science concepts through practical, hands-on learning. From AI-driven analysis to real-world machine learning applications, this program builds the skills required to lead in today's tech-driven business landscape.
- Data Scientist
- Data Analyst
- AI Specialist
- Machine Learning Engineer
- Data Engineer
- Business Analyst
Targeted Job
Roles
Training and Methodology
Enroll in our Data Science and Analytics Course in Mumbai and Navi Mumbai and gain access to -
Hands-On Projects - Solve real-world business challenges.- Industry Collaboration - Partner with leading firms for immersive learning.
- Capstone Projects - Develop scalable AI and data-driven solutions.
- Progress Evaluation - Track growth through assessments and feedback.
Why Choose
This
Course?
Gain Expertise in Data Science and Analytics with AI
Become an expert with our Data Science and Analytics Course in Mumbai and Navi Mumbai. Learn cutting-edge AI tools and techniques, participate in real-time projects, and prepare for high-growth careers with our 100% placement support program.
Register Now-
100% Job Placement Guarantee
Boost Your Career with Placement and Support.
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Real time projects
Gain real-world experience through industry-relevant projects.
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Reviews and feedback
Receive regular feedback and mentorship.
Build Your Skills WithData Science and Analytics Course
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Develop AI algorithms and machine learning models
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Strengthen your data visualization and storytelling techniques
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Learn to work with massive datasets and derive actionable insights
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Sharpen leadership skills to lead data teams effectively
Tools & Languages You'll Learn In Data Science and Analytics Course
The Course Syllabus
Our Data Science and Analytics Course in Mumbai and Navi Mumbai covers all essential topics.
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Advanced Data Analysis
- Data Cleaning and Preparation
- Statistical Analysis and Interpretation
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Python with Data Science
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Machine Learning
- Introduction to Machine Learning
- What is Machine Learning
- Applications of Machine Learning
- Supervised Vs Unsupervised Machine Learning
- Regression vs classification
- Exploratory Data Analysis (EDA)
- Finding null values
- Detecting and removal of outliers
- Feature scaling – : Standardization and normalization
- Introduction to Linear Regression
- What is regression?
- What is linear regression?
- Building First ML model for marks prediction
- Simple linear regression
- Multiple Regression
- Polynomial Regression
- Error functions in Regression (MAE, MSE, RMSE)
- Calculating accuracy using R2Score
- CASE STUDY -: Car Price Prediction on cars24 dataset
- Introduction to Overfitting and underfitting
- Overfitting Vs underfitting
- Bias-Variance Tradeoff
- Regularization Techniques -: Ridge and Lasso
- Understanding and demonstrating Ridge and lasso regression techniques
- Cross Validation Techniques
- Introduction to Logistic Regression
- Sigmoid function
- Understanding parameters of logistic regression
- ROC AUC Curve
- Confusion Matrix -: Precision, Recall, accuracy, f1 Score
- Introduction to KNN
- Understanding working of K – Nearest Neighbors
- Advantages and drawbacks of using KNN
- KNN for regression
- Introduction to SVM
- Understanding Support Vector Machine
- Hard and soft margin
- Understanding Support Vectors , Hyperplane
- Kernel technique
- SVM for regression
- Naive Bayes Classifier
- Understanding Naive Bayes Theorem
- Introduction to text classification
- NLP pipeline
- Vectorization of text data
- Case Study -: Spam mail classification using naive bayes
- Understanding Support Vector Machine
- Hard and soft margin
- Understanding Support Vectors, Hyperplane
- Kernel technique
- SVM for regression
- Decision Tree classifier
- Working of DT
- Gini Index and Entropy
- Pruning techniques
- Advantages and disadvantages of Decision Tree
- Decision Tree for regression
- Introduction to Ensemble learning
- What is Bagging?
- Random Forest Classifier
- ADA Boost, XGboost, Gradient Boost
- Unsupervised Machine Learning Algorithm
- Project deployment using Flask Framework
- Clustering
- K-means Clustering
- Hierarchical clustering
- Association rules
- PCA (principle component analysis)
- CASE STUDY ON BREAST CANCER DETECTION USING CLASSIFICATION ALGORITHMS
- CASE STUDY ON FRAUD DETECTION USING CLASSIFICATION ALGORITHMS
- Introduction to Machine Learning
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Artificial Intelligence
- Neural Networks and Deep Learning
- AI Techniques and Applications
- Natural Language Processing (NLP)
- Computer Vision
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Data Visualization and BI Tools
- Advanced Visualization Techniques
- Tableau
- Tableau Architecture and Features
- Data Visualization Techniques
- Dashboard Design and Interactivity
- Power BI
- Introduction to Power BI Tools
- Data Preparation and Visualization
- DAX Queries and Report Creation
- Advance Excel
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Capstone Projects
- Industry-Relevant Data Science Projects
- Real-World AI and Machine Learning Applications
Want to
experience
excellence?
At Milestone, we deliver complete learning solutions in Mumbai and Navi Mumbai. Book your Free Demo. Contact us now.
Access The Free Demo
Recruiters Seeking Skilled Data Science Students
Build Expertise withData Science and Analytics Certification
Enhance your resume and career opportunities with the Master’s in Data Science and Analytics Course in Mumbai and Navi Mumbai, and earn a recognized certification upon completion.
Register Now
Capstone Projects In
This Coursework
Our Data Science and Analytics Course in Mumbai and Navi Mumbai includes hands-on projects that complement the curriculum, promoting practical learning, deeper insight, and industry-ready skills.
Get in touch today
What Our Students Say
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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
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Faculty offering personal attention to struggling students is more satisfying compared to other institutes.
Rahul Agawane
Frequently Asked Questions
Find answers to all your questions about our diverse course categories. Discover the range of subjects we offer, and learn how to choose the right courses to match your interests and career goals. Let us guide you in navigating our extensive catalog to find the perfect fit for your educational journey.
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Who can enroll for the Master in Data Science and Analytics Course in Mumbai and Navi Mumbai?
Anyone with qualifications such as ME, MTech, BE, BTech, BCA, MCA, MSc, BSc in Computer Science or IT, Diploma holders, or those with a background in IT, AI, or ML can enroll in this course.
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What is the mode of delivery for the Master in Data Science and Analytics Course in Mumbai and Navi Mumbai?
We offer three flexible learning formats:
1) Classroom
2) Live Online
3) Recorded lectures
Contact us to choose the mode that best suits your needs. -
Will I receive a certificate after completing this course?
Yes, you will receive a certificate from Milestone Institute of Technology upon successful completion of the course.
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Is the course aligned with industry requirements?
Absolutely. Our syllabus and practical exercises are designed in line with current industry standards. Real-world examples are included throughout the course, and students can also register for industry internship opportunities through our placement department.
