Starting a career in Data Science or Business Analysis ?

then this course will help you to Built a Strong Foundation of statistics for Data Science and Business Analytics

This course is Very Practical, Easy to Understand and Every Concept is Explained with an Example !

I have added real life examples to understand the applications of statistics in the field of Data Science...

We'll cover everything that you need to know about statistics and probability for Data Science and Business Analytics !

Including:

1) Levels of Measurement

2) Measures of Central Tendency

3) Population and Sample

4) Population Standard Variance

5) Quartiles and IQR

6) Permutations,Combinations

7) Intersection, Union and Complement

8) Independent and Dependent Events

9) Conditional Probability

10) Bayes’ Theorem

11) Uniform Distribution, Binomial Distribution

12) Poisson Distribution, Normal Distribution, Skewness

13) Standardization and Z Score

14) Central Limit Theorem

15) Hypothesis Testing, Type I and Type II Error

16) Students T-Distribution

17) ANOVA - Analysis of Variance

18) F Distribution

19) Linear Regression and much more...

So What Are You Waiting For ?

Enroll Now and Empower Your Career !