Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
6 Hour(s) 6 Minute(s)
Language
English
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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IIrene Zamora
The explanations are clear, and the visuals help a lot. It is not a set of slides; instead, this course offers dynamic explanations. The examples are realistic enough to understand the applications of the concepts in business situations.
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GGlenn Delas Llagas
I've learned a lot of new information which I believe can be applied to what I'm doing in the office. Thank you for this course
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PPall Learner
Very short, very basic, no reference materials, very few problems.
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RRazi Ahmad
Good learning with good pace
