Statistics for Data Science and Business Analysis - Statistics you need in the office: Descriptive & Inferential statistics, Hypothesis testing, Regression analysis
Sure! Here are some topics that you can cover in your blog article about Statistics for Data Science and Business Analysis:
- Introduction to Statistics
- Types of Data
- Descriptive Statistics
- Inferential Statistics
- Probability Distributions
- Hypothesis Testing
- Regression Analysis
You can also include examples of how these topics are used in data science and business analysis.
Here are some resources that can help you get started:
- Statistics for Data Science - A Beginner’s Guide to Concepts and Methodologies by Towards Data Science.
- Statistics for Business Analysis - A Tutorial by Simplilearn.
- Statistics for Data Science - A Complete Guide by Analytics Vidhya.
I hope this helps! Let me know if you have any other questions.
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!
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