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Data Analytics with Tableau, Python, R, and SQL

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 Excel

21 Hours

R Programming for Finance

28 Hours

Advanced R

14 Hours

Algorithmic Trading with Python and R

14 Hours

Anomaly Detection with Python and R

14 Hours

Programming with Big Data in R

21 Hours

R Fundamentals

21 Hours

Cluster Analysis with R and SAS

14 Hours

Data Mining with R

14 Hours

Deep Learning for Finance (with R)

28 Hours

Deep Learning for Banking (with R)

28 Hours

Data Mining & Machine Learning with R

14 Hours

Foundation R

7 Hours

Introduction to R with Time Series Analysis

21 Hours

KNIME with Python and R for Machine Learning

14 Hours

Machine Learning for Banking (with R)

28 Hours

Machine Learning for Finance (with R)

28 Hours

Marketing Analytics using R

21 Hours

Predictive Modelling with R

14 Hours

Advanced Machine Learning with R

21 Hours

Introduction to R for Finance

21 Hours

R

21 Hours

Neural Network in R

14 Hours

Advanced R Programming

7 Hours

R Programming for Data Analysis

14 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

Introduction to Data Visualization with Tidyverse and R

7 Hours

Forecasting with R

14 Hours

R for Data Analysis and Research

7 Hours

Introduction to R

21 Hours

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