Time Series Analysis with Python

Gain insights into time series analysis using Python. Explore pandas and NumPy for data manipulation, visualize trends, learn ARIMA modeling, and employ machine learning for forecasting.

Beginner

38 Lessons

10h

Certificate of Completion

Gain insights into time series analysis using Python. Explore pandas and NumPy for data manipulation, visualize trends, learn ARIMA modeling, and employ machine learning for forecasting.

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This course includes

1 Project

1 Assessment

73 Playgrounds

12 Quizzes

This course includes

1 Project

1 Assessment

73 Playgrounds

12 Quizzes

Course Overview

This course is an introduction to time series data analysis and forecasting with Python. Time series data is prevalent in many fields, including finance, economics, and meteorology. In this course, you will learn how to use Python's popular pandas and NumPy libraries to manipulate, visualize, and analyze time series data. The course covers topics such as time series decomposition, stationary and non-stationary data, autocorrelation and partial autocorrelation, and modeling techniques like ARIMA. You will l...Show More

TAKEAWAY SKILLS

Data Visualisation

Python Programming

Data Manipulation

Data Cleaning

Data Plotting

Data Science

Data Statistics

What You'll Learn

An understanding of time series data analysis concepts, such as stationarity, autocorrelation and seasonality

Working knowledge of Python libraries for time series data analysis, such as Pandas and NumPy

Hands-on experience analyzing and forecasting time series data using Python

Ability to use statistical modeling techniques, such as ARIMA, to forecast time series data

Familiarity with advanced techniques for time series data analysis, such as machine learning algorithms and neural networks

What You'll Learn

An understanding of time series data analysis concepts, such as stationarity, autocorrelation and seasonality

Course Content

Introduction to Time Series

Get familiar with time series concepts, examples, datasets, and analysis techniques in Python.

Course Contents

Time Series Analysis

Examples of Time Series Data

Get Time Series Datasets

Time Series Properties

Quiz: Introduction to Time Series

Python Basics for Time Series

Walk through Python's pandas, datetime handling, visualization techniques, and outlier treatment.

pandas

Working with Date and Datetime Data

Visualizing Time Series Data

Outliers

Quiz: Python Basics for Time Series

Time Series Analysis

Examine core concepts of trends, seasonal patterns, autocorrelation, and stationarity in time series data.

Quiz: Time Series Analysis

Basic Time Series Forecasting

Enhance your skills in time series forecasting with concepts like seasonality, moving averages, and SARIMAX.

Quiz: Basic Time Series Forecasting

Advanced Time Series Forecasting

Take a closer look at advanced time series forecasting techniques like Prophet, LSTM, and Bayesian methods.

Prophet

LSTM

Bayesian Forecasting

Quiz: Advanced Time Series Forecasting

Forecast Evaluation

5 Lessons

Implement model evaluation, split data, set baselines, and detect forecast drift in time series.

Time Series Analysis and Forecasting

Assessment

Practical Examples

3 Lessons

Master the steps to analyze and forecast energy consumption, weather data, and stock prices.

Final Project

Project

Conclusion

1 Lesson

Wrap up your understanding of key time series concepts and forecasting methods.

Course Author

Trusted by 1.4 million developers working at companies

Anthony Walker

@_webarchitect_

Evan Dunbar

ML Engineer

Carlos Matias La Borde

Software Developer

Souvik Kundu

Front-end Developer

Vinay Krishnaiah

Software Developer

Eric Downs

Musician/Entrepeneur

Kenan Eyvazov

DevOps Engineer

Souvik Kundu

Front-end Developer

Eric Downs

Musician/Entrepeneur

Anthony Walker

@_webarchitect_

Evan Dunbar

ML Engineer

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