Statistics for Data Science and Business Analysis

Colleagues, the “Statistics for Data Science and Business Analysis” training will equip you in descriptive inferential statistics, hypothesis testing, and regression analysis. [92 lectures • 4 hours 52 minutes of training]. Understand the fundamentals of statistics. Learn how to work with different types of data. How to plot different types of data. Calculate the measures of central tendency, asymmetry, and variability along with correlation and covariance. Distinguish and work with different types of distributions. Estimate confidence intervals. Perform hypothesis testing. Make data driven decisions. Understand the mechanics of regression analysis. Carry out regression analysis. Use and understand dummy variables. Understand the concepts needed for data science even with Python and R. Skill-based training lessons address: 1) Sample or population data?, 2) Fundamentals of descriptive statistics, 3) Measures of central tendency, asymmetry, and variability, 4) Practical example: descriptive statistics, 5) Distributions, 6) Estimators and estimates, 7) Confidence intervals: advanced topics, 8) Practical example: inferential statistics, 9) Hypothesis testing: Introduction, 10) Hypothesis testing: Let's start testing, 11) Practical example: hypothesis testing, 12) The fundamentals of regression analysis, 12) Subtleties of regression analysis, 13) Assumptions for linear regression analysis, 14) Dealing with categorical data, and 15) Practical example: regression analysis. 

Enroll today (teams & executives are welcome): https://tinyurl.com/2ab7dz4k 

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Explore our Data-Driven Organizations Audible and Kindle book series on Amazon:

1 - Data-Driven Decision-Making  (Audible) (Kindle)

2 - Implementing Data Science Methodology: From Data Wrangling to Data Viz (Audible) (Kindle)

3 - The Upskill Gambit - Discover the 5 Keys to Your Career and Income Security in the Digital Age (Audible) (Kindle) 

Much career success, Lawrence E. Wilson - Data Science Academy (share with your team)