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Keep shoppingMaster Numpy Foundation and Practice Challenging Exercises
7,612 students
Master Numpy Foundation and Practice Challenging Exercises
Learn Numpy, Python, Statistics and Linear Algebra and practice 80 exercises and 350 quiz questions
Created byBaskar S
Last updated 6/2026
English
What you'll learn
- Learn Python Basics for Data Science
- Learn Numpy
- 60 challenging exercises in Numpy along with hints and solution files with explanation text for strong practice
- 20 exercises in Python along with hints and solution files with explanation text for practice
- Extensive and challenging quiz along with explanation for answers for all 350 questions
- Understand Key Statistics concepts
- Learn elaborately on how to implement key statistics concepts in Numpy
- Understand Key Linear Algebra concepts
- How to use numpy to implement key linear algebra concepts
Explore related topics
Course content
24 sections • 110 lectures • 8h 28m total length
Requirements
- Basic Computer Knowledge
- No Python knowledge is required
- No Data Science knowledge is required
Description
This course helps you to build the foundation to work with Data Science. This course is not just learning PYTHON basics, and NUMPY , the popular data science foundation package in python, but also provides students and programmers to get practice with lot of challenging exercises while you learn. Thus, students get strong hands-on with numpy when they complete this course.
Instructor
The Instructor of this course is the university topper in EPGDM Business Analytics Course and also got top ranking achievements in multiple data science competitions. The instructor have more than 16 years of experience in the IT industry. Please refer to the Udemy Instructor section for more detail.
Exercises
No of Exercises in Python: 20
No of Exercises in Numpy: 60+
These exercises are specially designed to get the hands on immediately after completion of every topic. The solution files contain not just the code alone, but also embedded with the detailed explanation of the solution. Additionally, hints files are provided for exercises in-order for students to avoid viewing the solution before completing the exercise.
Quiz
No of questions: 350
You might think that every course has got quiz, then what’s so special about quiz in this course.
This course contains specially designed quiz to have challenging questions with explanations for all choices. The questions include testing the output of the code, questions forces students to analyse all the choices etc.
Content
At high level, this course covers following chapters:
Python Basics
Numpy
Statistics concepts
Numpy for Statistics
Linear Algebra Concepts
Numpy for Linear Algebra
Practice Effort
Besides lecture duration, students will spend valuable 60 hours for exercises and quiz questions. You can see the detail of this time in preview videos.
Feedback
PLEASE SUPPORT THIS COURSE BY YOUR HONEST REVIEW
Who this course is for:
- Students interested towards Data Science career path
- Existing Software Programmers who want to shift to Data Science career
- Data Analyst who want to learn Programming
- Beginners of Data Science