Size: 1.23 GB
Learn The Core Stats For A Data Science Career. Master Statistical Significance, Confidence Intervals And Much More!
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 Requirements Just a basic knowledge of high school maths Description 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! Who this course is for: Anybody who wants to master stats for business analytics Anybody who wants to learn stats from the ground up Anybody who wants to get hands-on experience with stats.