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course content

Course Content

Time Series Analysis

1. Time Series: Let's Start

IntroductionPractical ExamplesModel TypesImplementation in PythonVisualization

2. Time Series Processing

Reading and Visualizing DataStationarityAutocorrelationDecomposition

3. Time Series Visualization

Simple Time SeriesCustomize Your PlotChallenge

4. Stationary Models

Examples of Stationary Time SeriesSimple Moving AverageAutoregressionAutoregressive-Integrated-Moving-Average ModelChallenge

5. Non-Stationary Models

Examples of Non-Stationary Time SeriesConvert Non-Stationary Data to StationaryChallenge 1Challenge 2

6. Solve Real Problems

Weather ForecastingStore Demand ForecastFinancial MarketsPredict the Emergence of Repeat CustomersMedicine: EEG Forecasting

Time Series Analysis

ChallengeChallenge

Task

You are faced with the task of creating a visualization of the aapl.csv dataset:

  1. Read the dataset. Convert the "Date" column of df to datetime type, and set them as df indexes.
  2. Initialize a line plot for the "Open" column values of the df. Set colormap to "gray".
  3. Add a title to the plot. In this order, it should contain the "Open" column's max and min values.
  4. Add labels on an axis: "Datetime" on the x-axis and "Price" on the y-axis.

Everything was clear?

Section 3. Chapter 3
toggle bottom row
course content

Course Content

Time Series Analysis

1. Time Series: Let's Start

IntroductionPractical ExamplesModel TypesImplementation in PythonVisualization

2. Time Series Processing

Reading and Visualizing DataStationarityAutocorrelationDecomposition

3. Time Series Visualization

Simple Time SeriesCustomize Your PlotChallenge

4. Stationary Models

Examples of Stationary Time SeriesSimple Moving AverageAutoregressionAutoregressive-Integrated-Moving-Average ModelChallenge

5. Non-Stationary Models

Examples of Non-Stationary Time SeriesConvert Non-Stationary Data to StationaryChallenge 1Challenge 2

6. Solve Real Problems

Weather ForecastingStore Demand ForecastFinancial MarketsPredict the Emergence of Repeat CustomersMedicine: EEG Forecasting

Time Series Analysis

ChallengeChallenge

Task

You are faced with the task of creating a visualization of the aapl.csv dataset:

  1. Read the dataset. Convert the "Date" column of df to datetime type, and set them as df indexes.
  2. Initialize a line plot for the "Open" column values of the df. Set colormap to "gray".
  3. Add a title to the plot. In this order, it should contain the "Open" column's max and min values.
  4. Add labels on an axis: "Datetime" on the x-axis and "Price" on the y-axis.

Everything was clear?

Section 3. Chapter 3
toggle bottom row
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