Course Overview

The Data Science & Machine Learning Master Program is a career-focused, practical training course designed to equip you with the skills to collect, clean, analyze, and visualize data using the latest tools and techniques. With hands-on projects and real-world case studies, you’ll master Python, machine learning, and advanced analytics to solve complex business challenges.

What You’ll Learn

  • Python for Data Science – Core programming with libraries like NumPy & Pandas
  • Data Preparation & Visualization – Data cleaning, wrangling, and plotting with Matplotlib & Seaborn
  • Machine Learning – Supervised & unsupervised models with Scikit-Learn
  • Statistics & Probability – Foundations for data-driven decision making
  • Exploratory Data Analysis (EDA) – Extract insights from raw data
  • SQL for Data Management – Querying and handling structured data
  • Business Intelligence Tools – Power BI / Tableau (optional module)
  • Capstone & Real-Time Projects – End-to-end implementation of industry-level solutions

Who Should Enroll

  • Students & graduates aspiring for data-driven careers
  • Professionals transitioning into data science or analytics roles
  • IT & Non-IT professionals aiming for high-growth career opportunities
  • Anyone passionate about data, problem-solving, and technology

Why Choose This Program?

  • Expert Mentors – Industry-experienced data scientists as trainers
  • Practical Curriculum – Job-ready skills with case studies & projects
  • Portfolio Development – Capstone projects, GitHub repository & resume building
  • Career Support – Mock interviews, placement assistance & career guidance
  • Flexible Learning – Weekday, weekend & fast-track batches

Course Duration

4–6 months (flexible scheduling: weekday, weekend, or fast-track)

Tools & Technologies Covered

  • Programming & Libraries – Python, NumPy, Pandas, Matplotlib, Seaborn
  • Machine Learning – Scikit-Learn
  • Data Handling – SQL
  • Visualization Tools – Power BI / Tableau (optional)
  • Platforms – Jupyter Notebook, Google Colab
  • Collaboration & Version Control – Git & GitHub

Certification

Data Science & Machine Learning Master Certificate – Proof of your skills and industry readiness