This course teaches students how to analyze time series data using Python Pandas. By the end of the course, students will be able to work with DatetimeIndex, resample data, handle holidays, work with different time zones, and perform shifting and lagging operations. The course is designed for individuals who have a basic understanding of Python and want to enhance their data analysis skills using Pandas for time series data. The teaching method includes hands-on exercises and practical examples to reinforce learning.
Overview
Syllabus
Pandas Time Series Analysis Part 1: DatetimeIndex and Resample.
Pandas Time Series Analysis Part 2: date_range.
Pandas Time Series Analysis 3: Holidays.
Pandas Time Series Analysis 4: to_datetime.
Pandas Time Series Analysis 5: Period and PeriodIndex.
Pandas Time Series Analysis 6: Timezone Handling.
Pandas Time Series Analysis 6: Shifting and Lagging.
Taught by
codebasics
