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Kick Start Your Data Science Career from Beginner to Master
Updated on Sep, 2026
Programming, Data Science, Python
Duration - 8.5 hours
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This course is meant for beginners and intermediates who want to be experts on Python programming concepts and Data Science libraries for analysis, machine Learning models etc.
They can be students, professionals, Data Scientists, Business analysts, Data engineers, Machine Learning engineers, Project Managers, Leads, business reports etc.
The course has been divided into 6 parts - Chapters, Quizzes, Classroom Hands-on Exercises, Homework Hands-on Exercises, Case Studies and Projects. Practice and Hands-on concepts through Classroom, Homework Assignments, Case Studies and Projects
This course is ideal for anyone who is starting their Data Science Journey and building ML models and Analytics in future. This course covers all the important Python Fundamentals and Data Science Concepts required to succeed in Academics and Corporate Industry.
Opportunity to Apply Data Science Concepts in 3 Real World Case Studies and 2 Real World Projects.
The 3 Case Studies are on Loan Risk Analysis, Churn Prediction and Customer Segmentation.
The 2 Projects are on Titanic Dataset and NYC Taxi Trip Duration.
The recommended approach for this course is to follow the chapters in their order, Do Yourself all the Hands-on Exercises. Finally, Consistency, discipline and practice are paramount.
This course will not teach you how to build and develop ML models. But, makes you an expert in Python programming language which is needed to build ML models.
Become an Expert at Python fundamentals and Data Science Packages such as Pandas, Numpy, and Visualization.
This course is ideal for anyone to start their Data Science Journey.
Practice and Hands-on concepts through Quizzes, Classroom, Homework Assignments, Case Studies, and Projects.
Opportunity to Apply Data Science Concepts into 3 Real World Case Studies and 2 Real World Projects.
This course covers all the important Python Fundamentals and Data Science Concepts required to succeed in Academics and Corporate Industry.
Check out the detailed breakdown of what’s inside the course
I am passionate data enthusiast and loved to mentor people. My ultimate goal is to bring value in people life.
I have 10+ years of professional experience and worked 7 years at American Express at different levels of leadership.
Currently, I am working at Fintech company and leading the Credit Risk team and objective is to build model to predict the credit worthiness of customer and help the company to find quality customer that in turn generate profits and minimized the loses and write-offs.
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