edX
edXApplied Data Science with R
1k studentsBEGINNEREnglish
Korshub's take
R: From Data Import to Insight
Applied Data Science with R walks the complete path from raw data to finished insight. Master R programming fundamentals, build relational databases with SQL, and visualize findings using ggplot and R Shiny. The curriculum balances breadth—web scraping, APIs, statistical analysis, predictive modeling—with depth: you'll design and execute a real-world project using actual datasets. Exercises in JupyterLab make hands-on learning seamless. It's not just learning R syntax; it's developing the analyst mindset: data preparation matters as much as modeling, and communication through visualization closes the loop. Ideal for anyone transitioning into data science.
About this course
Perform basic R programming tasks such as using common data structures, data manipulation, using APIs, webscraping, and working with R Studio and Jupyter. ,Create relational databases and query the data using SQL and R from JupyterLab. ,Complete the data analysis process, including data preparation, statistical analysis, and predictive modeling. ,Communicate data findings using data visualization charts, plots, and dashboards using libraries such as ggplot, leaflet and R Shiny. ,Demonstrate data analysis and visualization skills by completing a project that requires data collection, analysis, basic hypothesis testing, visualization, and modelling performed on real-world datasets.
Price
$495
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