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Basic of Data Cleaning

Course Reviews

Track :

Programming

Lessons no : 10

For Free Certificate After Complete The Course

To Register in Course you have to watch at least 30 Second of any lesson

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What will you learn in this course?
  • Master data cleaning techniques using Python and Excel for accurate, reliable datasets in real-world projects
  • Apply descriptive statistics and probability theory to identify data inconsistencies and outliers effectively
  • Utilize hypothesis testing and regression analysis to validate data assumptions and improve data quality
  • Implement data preprocessing methods to prepare datasets for machine learning and data analysis tasks
  • Evaluate data distributions and statistical significance to ensure data integrity and validity
  • Develop practical skills in cleaning, transforming, and validating datasets for data science applications

How to Get The Certificate

  • You must have an account Register
  • Watch All Lessons
  • Watch at least 50% of Lesson Duration
  • you can follow your course progress From Your Profile
  • You can Register With Any Course For Free
  • The Certificate is free !
Lessons | 10


We Appreciate Your Feedback

Excellent
11 Reviews
Good
10 Reviews
medium
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Not Good
0 Reviews
4.5
21 Reviews
christy 

very nice
2025-12-07

anjali 

nice
2025-11-12

Kishan Singh 

good
2025-07-31

Charles Campbell 

Good Course
2025-03-02

Fazal Ahmad 

it was good
2024-10-22

Fazal Ahmad 

Good content
2024-10-13

Ahmed Abdulkadir Ahmed 

it's very importance course and I'm very happy to learn it than you for your supporting us
2024-10-04

enrikx - Enrique Garcia Calderon 

Great!! Really interesting and well organized.
2024-02-29

Chandra Shekara Chary Devarakonda 

It helped me a lot and good exolination
2024-02-09

Mohammed Eid 

Very useful Introductory module
2024-02-04

Shivraj M 

Excellent this platform is very helpful and useful to gain our knowledge..
2024-01-01

anu sweatha 

Very good learning platform
2023-12-30

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According to Elite Data Science, a data science educational platform, data scientists need to understand the fundamental concepts of descriptive statistics and probability theory, which include the key concepts of probability distribution, statistical significance, hypothesis testing and regression.