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R Markdown for Dynamic Documents and Reproducible Reporting

14 Hours

Data Analytics with Tableau, Python, R, and SQL

35 Hours

Data Analysis with Python, R, Power Query, and Power BI

21 Hours

Shiny App Web Development with R

14 Hours

Statistical Analysis with Stata and Integration with R

35 Hours

Data Analytics With R

21 Hours

Data and Analytics - from the ground up

42 Hours

NLP: Natural Language Processing with R

21 Hours

R Programming for Finance

28 Hours

Advanced R

14 Hours

Algorithmic Trading with Python and R

14 Hours

Programming with Big Data in R

21 Hours

Introductory R (Basic to Intermediate)

14 Hours

Cluster Analysis with R and SAS

14 Hours

KNIME with Python and R for Machine Learning

14 Hours

Advanced Machine Learning with R

21 Hours

Introductory R for Biologists

28 Hours

Advanced R Programming

7 Hours

Shiny, R and HTML: Merging Data Science and Web Development

7 Hours

Statistical Analysis with Stata and R

35 Hours

Data Science with Tableau and R Programming

14 Hours

Building Web Applications in R with Shiny

7 Hours

Forecasting with R

14 Hours

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