Complete Time Series Data Analysis Bootcamp In R

Learn How To Work With Time Series/Temporal Data Using Statistical Modelling & Machine Learning Techniques In R

4.46 (439 reviews)

Udemy

platform

English

language

Data & Analytics

What you will learn

Implement Common Data Cleaning And Visualization Techniques In R

Be Able To Read In, Pre-process & Visualize Time Series Data

The Basic Conditions Time Series Data Must Fulfill & How To Check For These

Model Time Series Data To Forecast Future Values

Use Machine Learning Regression For Forecasting Future Values

Detect Sudden Changes In The Values During A Given Time Period

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Comidoc Review

Our Verdict

The Complete Time Series Data Analysis Bootcamp in R is an informative and practical course for those looking to learn about various time series analysis techniques. Despite some areas lacking depth and a few structural issues, real-world applications and a knowledgeable instructor contribute to its value. To enhance the learning experience, more detailed explanations on selected topics and better engagement through Q&A sessions are recommended.

What We Liked

The course provides a comprehensive introduction to various techniques for working with dates, handling missing values, and plotting time series data using R.
The instructor is knowledgeable and has included many hands-on examples that can be applied in real-world scenarios.
Covers a wide range of statistical modeling and machine learning techniques for forecasting, including Fourier terms and XGBoost.

Potential Drawbacks

Lacks depth in certain topics, as some students have pointed out the need for more expanded explanations on specific subjects such as Fourier terms and Github.
The structure of the course could be improved, with some lectures appearing unrelated and the use of different datasets in short intervals causing confusion.
Several students reported a lack of response to questions submitted through the Q&A feature, leaving some inquiries unanswered.