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What you would learn in Python and Analytics for Data Science and Machine Learning course?
This course is intended for intermediates and beginners who want to become experts in Python fundamentals of programming and Data Science libraries for analysis and machine learning models, etc.
They could be professionals, students, Data Scientists, Business Analysts, Machine Learning engineers, Dataengineersr, Engineer Project Manager Leads, business reports, and more.
The course is divided into six parts: Chapters, Quizzes, Homework, Classroom Hands-on Activities, hands-on Practices, Study Case Studies as well as Projects.
Training and hands-on learning through Classroom and Homework Assignments, Case Studies, and Projects
This course is suitable for anyone starting the Data Science Journey and building analytics and models using ML in the future.
It covers essential Python Fundamentals and Data Science Concepts necessary to excel in Academics and Corporate Industry.
Opportunities to apply Data Science concepts through Three Real World Case Studies and 2 Real World Projects.
The three Case Studies are focused on the risk of loans Analysis. The 3 Case Studies are on Churn Prediction, Loan Risk Analysis, and Customer Segmentation.
The two projects focus on Titanic Dataset and NYC Taxi Trip Duration.
The suggested approach for this course is to follow the chapters according to their order and do the exercises that require hands-on participation. Also, Consistency, discipline, and practice are essential.
This course won't teach you how to create and create models using ML. However, it will help you become an expert in the programming language Python, which is required to create ML models.
Learning to be an expert in Python as well as Data Science Concepts
This course is perfect for anyone looking to begin their Data Science Journey and build models using ML and Analytics
Practical and hands-on training through Classroom homework Assignments, Case Studies, and Projects
Opportunity to incorporate Data Science Concepts in three Real World Case Studies and 2 Real World Projects
The course covers essential Python Fundamentals and Data Science Concepts that are required to be successful in Academics as well as in Corporate Industry
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