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Duration

7 hours

Price

Level

Any Level

Certification

Available

Instructor

Kirill Eremenko

SuperDataScience Team

Learn The Core Stats For A Data Science Career. Master Statistical Significance, Confidence Intervals And Much More!

Expected learning & outcomes

  • 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 you will learn

    Analysis, Business Analysis, Business Analytics, Confidence, Data Science, Distribution, Sampling, Statistics, Testing

    About this course

    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!

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