Time Series Analysis in R, Learn how to use the R programming language for time series analysis and data visualization
NEW
- 2.5 (1 rating)
- Created by Spatial eLearning LLC, Robert S. Walker
- English
- English [Auto-generated]
- 2 hours on-demand video
- 6 articles
- Full lifetime access
- Access on mobile and TV
- Certificate of Completion
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What you'll learn
- Mastery in Time Series Analysis and statistical computing with free R software
- Gain experience with cutting-edge Time Series and Machine Learning algorithms
- Create publication-quality visualizations
- Make accurate predictions with powerful data analytics
- Add value to your studies, business, and portfolio
- Know which Time Series or Machine Learning model to choose for each type of application
- Handle a diversity of common challenges in predictive analytics
- Run advanced algorithms like Bayesian Structural Time Series and Support Vector Machines
- Let powerful Machine Learning algorithms compete amongst themselves and you choose the winner for your application
Description
Interested in the fields of Time Series Analysis, Predictive Analytics, and Machine Learning? Then this course is for you!
This course is designed by a university professor to help students quickly get up to speed with Time Series applications and apply them to real-world datasets.
The course is a step-by-step guide through the world of Time Series Analysis, starting with basic R programming. With each module you will develop new skills and improve your understanding of this challenging subfield of Data Science.
This course is a fun and exciting immersion into both Time Series Analysis and Machine Learning. It is structured the following way:
Section 1 – Introduction to R
Section 2 – Introduction to Time Series
Section 3 – Basic Forecasting Models
Section 4 – Forecasting with Seasonality
Section 5 – Forecasting with Regressors
Section 6 – Advanced Machine Learning Algorithms
The course is packed with practical exercises based on real-life applications. You will get extensive hands-on practice building your own models. The course includes accompanying R scripts which you will use on your own projects.
Enroll in the course and become a data scientist today!
Who is the target audience?
- Anyone interested in Time Series Analysis and Machine Learning.
- Anyone interested in Time Series Analysis and Machine Learning.
- Anyone who wants to quickly gain proficiency in Time Series, Data Science, and Machine Learning.
- Anyone who needs experience with implementing classical algorithms right up to cutting-edge and advanced algorithms.
- Anyone not yet comfortable with coding but interested in Time Series Analysis and Machine Learning and their many applications.
- Students at any level who want to start a career in Data Science.
- Data analysts who need to improve their R skills.
- Anyone not satisfied with his or her current job and who want to become a Data Scientist.
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