Statistics is the core of turning data into knowledge. This is the reason it is vital to the field of data science, and every aspirant of data analyst, data scientist must build a strong foundation of statistical concepts and statistical thinking. Working with the statistical techniques of exploring data, understanding probability as the study of random event, using data to support claims on inferences, is the only way that we can guard ourselves from making incorrect deductions and inference from data.
The course is created to make it an easy all time reference for the fundamentals of Statistics. One must go through it once and then keep re-visiting the topics as and when working on problems.
- Why statistics matter
- Descriptive Statistics
- Calculating discrete and continuous probability distributions
- Time Series Analysis and Forecasting
- Nonparametric Methods
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