Sau khi hoàn thành các khóa học này, tôi cảm thấy tự tin khi tạo các trực quan hóa và bảng điều khiển chuyên nghiệp
Shoebur RahmanProcurement Specialist, Giz Bangladesh
Mô tả khóa học
Yêu cầu tiên quyết
Chương trình học
Đề cương khóa học
1
Getting To Know Your Data
Begin your journey by learning why and how to summarize your data using statistics such as the mean, median, and mode. While working with a variety of datasets ranging from Amazon revenue to U.S Presidential ratings, you'll learn about the differences between each of these fundamental statistics and most importantly, when to use each.
- Welcome to the course!50 XP
- Don't be average!100 XP
- Presidential approval rating averages100 XP
- Difference between median and mean100 XP
- Modal madness100 XP
- How far from average?50 XP
- Train variation100 XP
- Calculating standard deviations100 XP
- Playing quarters100 XP
- Standardizing data50 XP
- Comparing z-scores100 XP
- Exploring eBay auctions100 XP
2
Statistical Data Visualization
Data visualization is one of the most important parts of any data science workflow. It leads to a deeper understanding of your dataset which in turn allows you to more effectively communicate results to stakeholders. In this chapter, you'll learn how to visualize your data in Google Sheets using statistical plots such as the histogram, scatter plot, and bar plot.
3
Statistical Hypothesis Testing
This chapter introduces you to statistical hypothesis testing. You'll learn how to construct a hypothesis, test it using different statistical tests, and properly interpret the results.
4
Case Study: Dating Profile Analysis
The final stretch! Apply all of your newfound statistical knowledge and solidify everything you have learned by working through a case study consisting of online dating profile data.
S
Nhập môn Thống kê với Google Sheets
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