Foundation Course On Statistics
INTRODUCTION
Statistics is fundamental to data science. The very first step in the analytics continuum approach
Foundation Course On Statistics: Statistics is fundamental to data science. The very first step in the analytics continuum approach is descriptive analytics, which relies heavily on descriptive statistics and uses concepts such as measures of central tendency, dispersion etc. In the later stages, we make use of the inferential statistics that deals with concepts such as hypothesis testing etc. The course is specially designed keeping in view the requirement of aspiring data science professionals who are keen to learn the statistical concepts frequently used in any data science project. This is a live instructor-led program where the participants can ask questions and clear their doubts instantly.
- Measures of Central Tendency
- Measures of Variation-Dispersion, Skewness,Kurtosis
- Random Variables
- Probability , Bayes Theorem
- Probability distribution-Discrete and Continuous
- Sample Distribution, Sampling Distribution
- Central Limit Theorem
- Confidence Interval Estimation, Z-Score, Confidence Level
- Hypothesis Testing
- Z-Test ,T-Test ,F-Test ,ANOVA
- Chi square Test
- Types of Error
