Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
8 Hour(s) 43 Minute(s)
Language
English
Taught by
Mohit Jain
Rating
2 views
Course Overview
Kick Start Your Data Science Career from Beginner to Master
This course is meant for beginners and intermediates who wants to expert on Python programming concepts and Data Science libraries for analysis, machine Learning models etc.
They can be students, professionals, Data Scientist, Business Analyst, Data Engineer, Machine Learning Engineer, Project Manager, Leads, business reports etc.
The course have 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 requires 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 - Follow the chapters in their order, Do Yourself all the Hands-on Exercises. Finally, Consistency, discipline and practice is paramount.
This course will not teach you how to build and develop ML models. But, make you expert at python programming language which is needed to build ML models.
Course Content
- 10 section(s)
- 44 lecture(s)
- Section 1 Course Introduction and Structure
- Section 2 Python Installation
- Section 3 Introduction to Variables and Strings
- Section 4 List, Tuple and Dictionary
- Section 5 Conditions and Loops
- Section 6 Functions and Case Study 1
- Section 7 Data Science: Numpy and Functions
- Section 8 Data Science: Pandas Package and Case Study 2
- Section 9 Data Science: Data Visualization
- Section 10 Case Study 3 and Projects
What You’ll Learn
- Become 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 requires to succeed in Academics and Corporate Industry
Skills covered in this course
Reviews
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GG.Sai Swethas
it was good.
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EErnesto Bonilla Ramos
I am having a great experience with the course. I was looking for a course that would start from zero and take me through sequential programming and finally data visualization. This course nails it!
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PPaweł Smoliński
Course have well explained content. The leader of the course is helpful and react very quickly.
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MMukesh Kumar
I enrolled this course for Data Science libraries such as Pandas and Visualization. This course has completely met my expectations. Now I am feeling lot confident thanks to hands-on and practice exercises such as homework's, case studies etc. Highly recommend this course to everyone.
