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Statistics for Data Science

Course Reviews

Track :

Programming

Lessons no : 9

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 collection, review, and analysis techniques for accurate insights in data science projects
  • Apply statistical methods and mathematical models to interpret complex data patterns effectively
  • Utilize probability, hypothesis testing, and regression analysis to support data-driven decision making
  • Implement data visualization and summarization skills to communicate statistical findings clearly
  • Evaluate data quality and identify biases to ensure reliable and valid data science outcomes
  • Integrate statistical tools and software to enhance efficiency in data analysis and machine learning workflows

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 | 9


We Appreciate Your Feedback

Excellent
6 Reviews
Good
13 Reviews
medium
1 Reviews
Acceptable
2 Reviews
Not Good
0 Reviews
4
22 Reviews
Abdirisak ibrahim Shafec Egeh 

thanks
2025-08-25

Michael Leburu 

Very good short course
2025-08-25

Bilawal Dhamrah 

goood
2025-08-10

Okello Francis 

This is very fantastic and it has helped me alot to build on my skill
2025-08-06

Arpit Singh 

I truly appreciate this type of courses.
2025-08-03

Lenoir Nataka 

I'm very glad to finish and learn this course
2025-07-29

c/rashid osman 

It's good
2025-07-11

Devi Lalitha Thatha 

Awesome content
2025-05-21

Alusine Tamba Moiwo 

It is Great
2025-05-20

Thomas Apeletey 

Intelligence course
2025-05-06

Dingamnayal TOLYENA MOCTAR 

Excellent
2025-04-26

SYED RUKHSAR 

VERY GOOD KNOWLEDGE FOR BASIC STATISTICS.
2025-04-04

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In data science, statistics is at the core of sophisticated machine learning algorithms, capturing and translating data patterns into actionable evidence. Data scientists use statistics to gather, review, analyze, and draw conclusions from data, as well as apply quantified mathematical models to appropriate variables .