Learn Statistics for Data Science Online
Whether you're just starting out or already have some experience, Statistics for Data Science courses is designed to fit your needs. Curated by the top online educational institution and industry leader, Our Statistics for Data Science cours aims to provide quality training for everyone—from individual learners seeking personal growth to corporate teams looking to upskill. For those pursuing professional advancement, skill acquisition, or even a new career path, this course can be a valuable resource. Take the next step in your professional journey and enroll in a Statistics for Data Science course today!

Course Access

3 months

Last Updated

January 15, 2024

Students Enrolled


Total Video Time

4 hours, 15 minutes

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Course Description Gain unmatched skills in Statistics for Data sciences course, be knowledgeable of the key concepts of Statistics, Machine Learning ,and Business inteligence ,you will learn the need for Normal distribution ,Sampling and hypothesis in Data analytical Practices. In this course, you will explore probability and descriptive statistics, cover data analysis from both a classical and contemporary viewpoint and learn to extract insight from datasets. you will get a math notation refresher, learn to form hypotheses, design experiments that collect valid data, test your hypotheses using statistical techniques, and work with causal models. Concepts are solidified through individual and group based practical assignments.
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Collins Chapusha
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Course Currilcum

    • Introduction to Statistics 00:15:00
    • Statistics Variance 00:10:00
    • Statistics Correlation 00:20:00
    • Statistics Correlation Matrix 00:20:00
    • Statistics Correlation vs. Causality 00:20:00
    • Linear Regression 00:15:00
    • Regression Table 00:10:00
    • Regression Table – Info 00:05:00
    • Regression Table – Coefficients 00:10:00
    • Regression Table: P-Value 00:10:00
    • Regression Table: R-Squared 00:15:00
    • Linear Regression Case 00:10:00
    • Multivariate Methods 00:20:00
    • Probability Distributions 00:10:00
    • R Practice Module 00:45:00
    • Test your knowledge 00:20:00

Course Reviews


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  1. Thank you


    Easy to use study materials,thank you for developing such a great course.

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