Statistics for Data Science and Business Analysis
$0.99
Do you want to work as a Marketing Analyst, a Business Intelligence Analyst, a Data Analyst, or a Data Scientist?
And you want to acquire the quantitative skills needed for the job?
Well then, you’ve come to the right place!
Statistics for Data Science and Business Analysis is here for you! (with TEMPLATES in Excel included)
What you’ll learn
- 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
- Calculate 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!
Course content
1818 sections • 92 lectures • Total duration 4 hours 52 minutes
Introduction
Sample or population data?
The fundamentals of descriptive statistics
Measures of central tendency, asymmetry, and variability
Practical example: descriptive statistics
Distributions
Estimators and estimates
Confidence intervals: advanced topics
Practical example: inferential statistics
Hypothesis testing: Introduction
Hypothesis testing: Let's start testing!
Practical example: hypothesis testing
The fundamentals of regression analysis
Subtleties of regression analysis
Assumptions for linear regression analysis
Dealing with categorical data
Practical example: regression analysis
Bonus lecture