Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
6 Hour(s) 6 Minute(s)
Language
English
Taught by
Kirill Eremenko, SuperDataScience Team, Ligency
Rating
1 views
Course Overview
Learn The Core Stats For A Data Science Career. Master Statistical Significance, Confidence Intervals And Much More!
If you are aiming for a career as a Data Scientist or Business Analyst then brushing up on your statistics skills is something you need to do.
But it's just hard to get started... Learning / re-learning ALL of stats just seems like a daunting task.
That's exactly why I have created this course!
Here you will quickly get the absolutely essential stats knowledge for a Data Scientist or Analyst.
This is not just another boring course on stats.
This course is very practical.
I have specifically included real-world examples of business challenges to show you how you could apply this knowledge to boost YOUR career.
At the same time you will master topics such as distributions, the z-test, the Central Limit Theorem, hypothesis testing, confidence intervals, statistical significance and many more!
So what are you waiting for?
Enroll now and empower your career!
Course Content
- 6 section(s)
- 43 lecture(s)
- Section 1 Welcome to the course
- Section 2 Distributions
- Section 3 Central Limit Theorem
- Section 4 Hypothesis Testing / Statistical Significance
- Section 5 Advanced Hypothesis Testing
- Section 6 Congratulations!! Don't forget your Prize :)
What You’ll Learn
- Understand what a Normal Distribution is
- Understand standard deviations
- Explain the difference between continuous and discrete variables
- Understand what a sampling distribution is
- Understand the Central Limit Theorem
- Apply the Central Limit Theorem in practice
- Apply Hypothesis Testing for Means
- Apply Hypothesis Testing for Proportions
- Use the Z-Score and Z-Tables
- Use the t-Score and t-Tables
- Understand the difference between a normal distribution and a t-distribution
- Understand and apply statistical significance
- Create confidence intervals
- Understand the potential pitfalls of overusing p-Values
Skills covered in this course
Reviews
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YYan Ruobing
Really like this lesson. The settings of the homework and the way the lesson is illustrated make the points easy to understand. Thank you!
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PPraveen
it could have been simple examples for the beginners perspective the topic is challenging to understand simpler example could be useful for the beginners who is new to statistics concepts,kindly consider my suggestion.
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SSomeone
It's great and really easy to understand and serve as good introductory course for beginner. Personally I'd like to learn a little more advanced stuffs and little more theory behind statistics. As a software engineer I can reasonably finding ways to pull off the calculation but it'll be hard to do it without understanding what I'm really doing and navigate the landmines on how to do a correct statistics (lies, damned lies, and statistics).
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SSaivenkatboora
Sir, initially it is difficult to understand terminologies in this lectures but later on it's become easy to understand. sections were practical and i enjoyed thoroughly by going these lectures.
