After doing these courses, I feel confident creating professional visualizations and dashboards
Shoebur RahmanProcurement Specialist, Giz Bangladesh
Course Description
In this course you'll learn the basics of manipulating time series data. Time series data are data that are indexed by a sequence of dates or times. You'll learn how to use methods built into Pandas to work with this index. You'll also learn how resample time series to change the frequency. This course will also show you how to calculate rolling and cumulative values for times series. Finally, you'll use all your new skills to build a value-weighted stock index from actual stock data.
Prerequisites
Curriculum
Course outline
1
Working with Time Series in Pandas
This chapter lays the foundations to leverage the powerful time series functionality made available by how Pandas represents dates, in particular by the DateTimeIndex. You will learn how to create and manipulate date information and time series, and how to do calculations with time-aware DataFrames to shift your data in time or create period-specific returns.
- How to use dates & times with pandas50 XP
- Your first time series100 XP
- Indexing & resampling time series50 XP
- Create a time series of air quality data100 XP
- Compare annual stock price trends100 XP
- Set and change time series frequency100 XP
- Lags, changes, and returns for stock price series50 XP
- Shifting stock prices across time100 XP
- Calculating stock price changes100 XP
- Plotting multi-period returns100 XP
2
Basic Time Series Metrics & Resampling
This chapter dives deeper into the essential time series functionality made available through the pandas DataTimeIndex. It introduces resampling and how to compare different time series by normalizing their start points.
3
Window Functions: Rolling & Expanding Metrics
This chapter will show you how to use window function to calculate time series metrics for both rolling and expanding windows.
4
Putting it all together: Building a value-weighted index
This chapter combines the previous concepts by teaching you how to create a value-weighted index. This index uses market-cap data contained in the stock exchange listings to calculate weights and 2016 stock price information. Index performance is then compared against benchmarks to evaluate the performance of the index you created.
Manipulating Time Series Data in Python
Course
Complete
