R Programming for Data Science for Absolute Beginners - Printable Version +- Softwarez.Info - Software's World! (https://softwarez.info) +-- Forum: Library Zone (https://softwarez.info/Forum-Library-Zone) +--- Forum: Video Tutorials (https://softwarez.info/Forum-Video-Tutorials) +--- Thread: R Programming for Data Science for Absolute Beginners (/Thread-R-Programming-for-Data-Science-for-Absolute-Beginners)

R Programming for Data Science for Absolute Beginners - Farid - 09-13-2023 R Programming for Data Science for Absolute Beginners Last updated 5/2023 Duration: 5h 51m | .MP4 1280x720, 30 fps® | AAC, 44100 Hz, 2ch | 2.46 GB Genre: eLearning | Language: English Learn the art of R programming for Data Science . Learn to analyse and Visualize for Actionable Insights. What you'll learn R programming from Beginning to Advance. Data Visualizations using ggplot and Base plots When , which and how to plot for Inferences Learn to plot scatter , bar chart , histograms, time-series Create and access R objects - vectors,list,factors, dataframes , matrices Learn to write conditions, loops and functions Upload real world data like bank marketing data with 45,000 records Requirements Must be passionate about Data Description **** Reviews**** I m gaining great new skills with this course. I had no exp in R , now I m gaining confidence . Recommended for the beginners - Myint Htoo **** Lifetime access to course materials . 100% money back guarantee **** If you are an absolute beginners in R , then this is the place . Learn R program right from the basic to intermediate and advance level. Learn how to do data visualizations on all kind of data sets. Create and access various R datatypes and objects like vectors,factors and dataframes. Create your own functions , loops and conditions. Work on various plots : scatter , box plots , histograms, bar charts and derive the business and actionable insights. Upload real world data like bank marketing data with 45,000 records Create and access R objects - vectors,list,factors, dataframes , matrices Do various mathematical operations on dataframes , vectors , list and other R objects. When , which and how to plot for Inferences Learn to write conditions, loops and functions Case Study Include: Identify which customers are eligible for credit card issuance -> Use R functions , loops and apply R knowledge gained to resolve the real world problem Root Cause Analysis of Uber Demand Supply Gap ->Understand business problems. ->Upload Uber Datasets ( drop time, pickup time, driver ID , destination , pickup point ) ->Do the data visualizations and find the various insights from the datasets -> Prepare PPT for the company CEO and other stakeholders. Who this course is for: Beginners who are looking to enhance their data science skills [To see links please register or login] R Programming for Data Science for Absolute Beginners (2.47 GB) KatFile Link(s) [To see links please register or login] RapidGator Link(s) [To see links please register or login]