7 Best Time Series Courses Online You Must Know in 2024

Are you looking for the Best Time Series Courses Online? If yes, this article is for you. In this article, I listed the Best Time Series Courses Online. So, give a few minutes to this article and find the best time series course for you.

A time series is a set of numerical measurements of the same entity taken at equally spaced intervals over time. Time series data can be collected yearly, quarterly, monthly, weekly, daily, and hourly.

Now without further ado, let’s get started and find out some Best Time Series Courses Online–

Best Time Series Courses Online

1. Time Series Forecasting– Udacity FREE Course

Time to Complete- 3 Weeks

Best For- Intermediate

This is a completely FREE course. In this course, there are four lessons. In the first lesson, you will understand the Fundamentals of Time Series Forecasting, understand the Business Problem, Time Series Components, Trends, Seasonality, Cyclical Patterns, etc. Throughout this lesson, there are various quizzes to test your understanding.

In the next lesson, you will learn ETS Models, Time Series Decomposition, Time Series Scenarios, Holt’s Linear Trend Method, Exponential Trend Method, Holt-Winters Seasonal Method, and some other interesting terms.

In the next two lessons, you will learn ARIMA Models, Seasonal ARIMA Models, Analyzing and Visualizing Forecasting Results, etc.

Overall, this is a well-detailed course to learn time series forecasting.

You Should enroll, if-

• You are interested in using data to make better business decisions.

Interested to Enroll-

If yes, check out the course here- Time Series Forecasting

2. Practical Time Series Analysis– Coursera FREE Course

Rating- 4.6/5

Time to Complete- 26 hours

Best For- Intermediate Level

This is another completely free course to learn time series. To get this course for free, click on the “Enroll for FREE” button. A new popup will appear, choose the “Full Course, No Certificate” option and you will be redirected to the course material.

This course has a 6-week study plan. In the first module, you will learn how to set up R Software and brush up on basic descriptive and inferential statistics.

In the next module, you will understand time plots, autocovariance function, autocovariance coefficients, autocorrelation function, and how to model time series.

You will also learn how to write Yule-Walker equations in matrix notation, ARMA models, SARIMA processes, and other essential topics.

This is also a detailed course to learn time series analysis.

You Should enroll, if-

• You already know R Programming basics.

Interested to Enroll-

If yes, check out the course here- Practical Time Series Analysis

3. Machine Learning for Trading– Udacity FREE Course

Time to Complete- 4 Months

Best For- Intermediate

This is a detailed course to learn the Statistical analysis of time series. In this course, the instructors use Global statistics and Rolling statistics to analyze stock movement over time. And you will get to know how to compute Bollinger Bands and Daily returns.

I found usually free courses are very basic. But Udacity Free courses are very detailed. This course has 26 lessons and all lessons are very detailed and have practical exercises. At the end of this course, there is an Interview with Tammer Kamel. Tammer Kamel is the founder and CEO of Quandl – a data platform that makes financial and economic data available through easy-to-use APIs.

You Should enroll, if-

• You have strong coding skills and some familiarity with equity markets.

Interested to Enroll-

If yes, check out the course here-Machine Learning for Trading

4. Analyzing Time Series and Sequential Data Specialization– Coursera Paid Program

Time to Complete- 7 months

Best for- Intermediate

This is a specialization program by SAS. There are 3 courses in the program. In the first course, you will understand Time Series Basics, the usefulness of distance or similarity measures between time series, basic ideas, and applications in frequency domain analysis, and detecting motifs in times series and their usefulness.

In the next lesson, you will learn Large-Scale Forecasting, how to use the TSMODEL procedure to perform time series accumulation and missing value interpretation, how to use the ATSM package in PROC TSMODEL to perform automatic forecasting, model selection, and specification, Reconciling statistical forecasts, etc.

The last course will cover ARIMAX Models, Bayesian Time Series Analysis, how to prepare the time series data for use with machine learning tools, Hybrid Modeling Approaches, and External Forecasts.

You Should enroll, if-

• You have previous statistical knowledge.

Interested to Enroll-

If yes, check out the course here- Analyzing Time Series and Sequential Data Specialization

5. Sequences, Time Series, and Prediction– Coursera Paid Course

Rating- 4.7/5

Time to Complete- 23 hours

Best For- Intermediate Level

This course is offered by deeplearning.ai. In this course, you will learn how to apply machine learning to time series data, Common patterns in time series, and understand time series notebook.

You will also learn how to build Deep Neural Networks and Recurrent Neural Networks for Time Series. At the end of this course, you will understand how to work on Real-world time series data.

You Should enroll, if-

• You are comfortable with Python and know high school-level math.

Interested to Enroll-

If yes, check out the course here- Sequences, Time Series, and Prediction

6. Time Series Analysis, Forecasting, and Machine Learning– Udemy Paid Course

Rating- 4.7/5

Time to Complete- 23 hours 

Best For- Intermediate

This course is marked as a bestseller on Udemy. In this course, you will learn Time Series Basics, Forecasting Metrics, Financial Time Series Primer, SMA Theory, EWMA Theory, Holt’s Linear Trend Model, ARIMA, Stationarity, ACF, and PACF.

This course will also cover Machine Learning and Deep Learning methods. You will learn GARCH, AWS Forecast, and Facebook Prophet.

You Should enroll, if-

• You have previous Python knowledge.

Interested to Enroll-

If yes, check out the course here- Time Series Analysis, Forecasting, and Machine Learning

7. Python for Time Series Data Analysis– Udemy Paid Course

Rating- 4.7/5

Time to Complete- 15.5 hours

Best For- Intermediate

This is a short course to learn time series analysis using Python. In this course, you will learn Numpy and Pandas basics and how to perform data visualization using Pandas.

After that, you will get an overview of Time Series with Pandas, DateTime Index, Time Resampling, Time Shifting, Visualizing Time Series Data, Time Series Analysis with Statsmodels, EWMA, ACF, and PACF Theory, ARIMA, and Facebook’s Prophet Library.

The course also covers deep learning for time series forecasting.

You Should enroll, if-

• You have general Python Skills.

Interested to Enroll-

If yes, check out the course here- Python for Time Series Data Analysis

And that’s all…So, these are the 7 Best Time Series Courses Online. Now, it’s time to wrap up.

Conclusion

I hope these 7 Best Time Series Courses Online will help you to learn Time Series in detail. My aim is to provide you with the best resources for Learning. If you have any doubts or questions, feel free to ask me in the comment section.

Tell me in the comment section, which course you like.

All the Best!

Happy Learning!

Thank YOU!

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Though of the Day…

‘ Anyone who stops learning is old, whether at twenty or eighty. Anyone who keeps learning stays young.

– Henry Ford