Course Introduction: "Statistics for Data Science and Business Analysis"
Are you aiming for a career as a Marketing Analyst, Business Intelligence Analyst, Data Analyst, or Data Scientist? Do you need strong quantitative skills to stand out in the field?
📊 Statistics for Data Science and Business Analysis is the perfect starting point!
This course covers Descriptive & Inferential Statistics, Hypothesis Testing, and Regression Analysis, equipping you with the statistical knowledge needed for real-world applications. Plus, it includes Excel templates to make learning even more hands-on.
What makes this course unique?
✔ Easy to understand – No overwhelming jargon, just clear explanations
✔ Comprehensive & practical – Learn concepts you can apply immediately
✔ Data-driven & to the point – Focus on real-world business scenarios
✔ Plenty of exercises & resources – Reinforce your learning with practical applications
By the end of this course, you’ll confidently analyze data, interpret statistical results, and make data-driven business decisions. 🚀
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!
Link gốc: https://www.udemy.com/course/statistics-for-data-science-and-business-analysis/
Chú ý:
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