Practical analytics frameworks, Python workflows, and business decision-making.
This course is designed for students who want to move beyond spreadsheets and theory, and learn how real data analytics is performed using Python in academic and industry contexts.
JOIN THIS COURSE NOWThis program introduces students to Data Analytics using Python, focusing on practical frameworks, analytical thinking, and real-world business scenarios. Students learn how data is collected, cleaned, analyzed, and visualized to support informed decision-making. The course emphasizes hands-on workflows using Python libraries widely adopted in industry and academia. The focus is on understanding analytics as a process — not just writing code, but reasoning with data to extract insights.
Industry-standard tools used to perform real data analytics workflows — from data preparation to insight generation.
Core language for analytics workflows
Data manipulation & analysis
Numerical computing foundations
Data visualization & plotting
Scientific & statistical computing
Cloud-based Python execution
Introductory cloud exposure

College students exploring analytics and data-driven roles
Beginners who want a strong foundation in Python analytics
Students preparing for analytics, consulting, and management roles
Learners who want practical exposure instead of purely theoretical study

Founder, Pankh AI · Technology Advisor, Vybe Labs, Ex-Microsoft, Oracle & EY
Pankaj Kharkwal is a Generative AI and Large Language Model architect with industry experience building AI solutions for real-world business problems.
Having worked with organizations like Microsoft, Oracle, and EY, he focuses on teaching students how AI systems are actually used in production — not just how to experiment with them.