This lesson is still being designed and assembled (Pre-Alpha version)

Time Series Analysis of Smart Meter Power Consumption Data

FIXME: home page introduction

Prerequisites

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Learning Objectives

After following this lesson, learners will be able to:

  • describe general programming concepts and their relation to algorithmic thinking
  • recognize the application of algorithmic thinking to time series analysis
  • build an analytic pipeline in Python to batch process and perform a time series analysis of solar power generation data

Schedule

Setup Download files required for the lesson
00:00 1. Introduction Key question (FIXME)
00:00 2. Reading Data Files with Python How can we manipulate tabular data files in Python?
01:05 3. Subsetting Dataframes with PANDAS How can we filter and subset data in Python?
01:50 4. Summarizing Tabular Data with PANDAS How can we summarize large datasets?
02:35 5. Visualizing Tabular Data How can we use plots to explore characteristics of datasets?
03:20 6. Linear Regression Using PANDAS How can we develop regression models in Python?
How can we visualize regression models in Python?
04:05 Finish

The actual schedule may vary slightly depending on the topics and exercises chosen by the instructor.