eduden
Data Science

Data Science & Analytics with Python + Power BI - 60 Days Career Track.

Pandas, SQL, visualization and storytelling with data a complete analyst toolkit.

Admission InquiryBrochure ↓
Data Science & Analytics with Python + Power BI - 60 Days Career Track
60 Days
Duration
60+ Lectures
Lectures
6 Projects
Projects
Hybrid
Mode

Course Overview

To help learners build confidence and capability in working with structured and unstructured data, performing exploratory data analysis (EDA), creating dashboards, and extracting insights that drive business decisions.

Who can join
Students, business grads, and freshers
Aspiring data analysts or business intelligence professionals
Non-tech working professionals transitioning into data roles
Freelancers, marketers, and managers seeking data literacy

What's inside the course.

01Assignments practical hands-on exercises using Python and Power BI
02Quizzes assessments to reinforce data analysis and visualization concepts
03Live Sessions interactive discussions on key concepts and real-life business cases
04Projects build real business dashboards and data analysis projects

Curriculum.

6 modules · 60+ lectures · 6 projects

Tools covered
PythonSQLPower BIDAX

Career path after this course.

Build real business dashboards and data analysis projects that translate insights into business actions. Complete the assignments and final project to earn a verifiable eduden certificate — checkable on our Verify page.

Data AnalystBusiness Intelligence AnalystReporting Analyst
What you'll gain
Course Certificate

A digital certificate of completion from Eduden after completing all modules and submitting your final project.

100% Access on Purchase Period

Lifetime access to recorded sessions, hands-on lab assignments, and downloadable resources through the Eduden dashboard.

Ready for interviews

Upon completion of the course, students will always be interviewed to assess their skills and readiness for practical applications.

Next learning step: AI & Machine Learning with Python, Business Analytics and MIS Reporting with Excel, SQL and Power BI, or Deep Learning & Neural Networks with TensorFlow & Keras.