Kansas City, KS - The Stables KCK / CABA

1303 Central Ave, Kansas City, United States, 66102

The venue is centrally located in the heart of Kansas City, Kansas, at 1303 Central Avenue, easily accessible by car via I‑70 or I‑35 with exits to Central Avenue; ample free street parking is available along Central Avenue and 13th Street. From Kansas City International Airport (MCI), take I‑70 East to the Central Avenue exit—taxi or rideshare takes about 20 minutes. Public transit users benefit from local bus routes along Central Avenue, with stops just steps away from the entrance in this pedestrian-friendly corridor.

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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 Excel

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

Data Mining with R

14 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

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Marketing Analytics using R

21 Hours

Predictive Modelling with R

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Advanced Machine Learning with R

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Introductory R for Biologists

28 Hours

R

21 Hours

Neural Network in R

14 Hours

Advanced R Programming

7 Hours

R Programming for Data Analysis

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

7 Hours

Statistical Analysis with Stata and R

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Data Science with Tableau and R Programming

14 Hours

Introduction to Data Visualization with Tidyverse and R

7 Hours

Building Web Applications in R with Shiny

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Forecasting with R

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R for Data Analysis and Research

7 Hours

Introduction to R

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