Data Analytics & Machine
Learning

Build Intelligence with Data, Drive the Future with ML.

Course Overview

This course is designed to provide learners with a strong foundation in Data Analytics techniques and Machine Learning algorithms to extract actionable insights and predict future trends. Through a blend of theory, real-world case studies, and hands-on projects, students will learn how to clean data, perform analysis, build predictive models, and make data-driven decisions using tools like Python, R, Excel, and Power BI.

Tools Covered :

Python (Pandas, NumPy, Scikit-learn, Matplotlib)
R Language
Excel
Power BI / Tableau
Jupyter Notebook / Google Colab

What You Will Learn :

Clean and analyze data efficiently.
Create impactful dashboards and reports.
Apply ML algorithms for prediction and classification.
Solve real-world business problems using data.

Career Pathways

  • Data Analyst
  • Machine Learning Engineer
  • Business Analyst
  • Data Scientist (Entry Level)
  • BI Analyst

Beginner-friendly with hands-on practice

Certificate of Completion

Access to mentorship and career support