Analytics to Machine Learning
Data Science
End-to-end data science — statistics, Python, ML algorithms, model building, and real-world case studies.
High DemandDuration5 MonthsModeOfflineEligibilityGraduate (Any Stream)
Enroll today
We quote fees personally — call or enquire.
Free career counsellingWatch lectures online
- Certificate on completion
- Study material included
- Lab access included
- Placement assistance
- Lifetime alumni support
Data Science is the discipline of extracting actionable insights from data — combining statistics, programming, and domain knowledge. This comprehensive course takes you from data basics all the way to deploying ML models.
Curriculum
What you will learn
- 01Python for Data Science — NumPy, Pandas
- 02Data Cleaning & Preprocessing
- 03Exploratory Data Analysis (EDA)
- 04Statistics — Hypothesis Testing, Distributions
- 05Data Visualization — Matplotlib, Seaborn, Plotly
- 06Machine Learning — Regression, Classification, Clustering
- 07Scikit-Learn & Model Evaluation
- 08Feature Engineering & Selection
- 09Natural Language Processing Basics
- 10Model Deployment with Flask
Outcomes
What you will be able to do
- Analyze and visualize complex datasets
- Build and evaluate ML models
- Extract business insights from data
- Present findings to non-technical stakeholders
Toolkit
Tools you will use
Python
Jupyter
Scikit-Learn
Pandas
Tableau
Start Data Science
New batches every month, in morning, afternoon, evening and weekend slots.