Executive Development Programme in R for Data Analysis
-- viewing nowThe Executive Development Programme in R for Data Analysis is a certificate course designed to equip learners with essential data analysis skills using R, a powerful statistical programming language. This program is crucial in today's data-driven world, where businesses rely on data analysis to make informed decisions.
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Course Details
• Introduction to R for Data Analysis: Overview of R, its advantages, data types, and basic syntax. • Data Manipulation in R: Working with data frames, subsetting data, sorting, merging, and aggregating data. • Data Visualization in R: Creating plots, charts, and graphs with ggplot2, lattice, and base R graphics. • Statistical Analysis in R: Performing descriptive and inferential statistics, including hypothesis testing, correlation, and regression analysis. • Data Modeling in R: Building predictive models, including linear, logistic, and time series models. • Data Mining and Machine Learning in R: Implementing data mining techniques, including clustering, classification, and decision trees. • Big Data Analytics with R: Handling large datasets with R packages like dplyr, data.table, and sparklyr. • Data Science Best Practices in R: Data preprocessing, data documentation, version control, and collaborative workflows using RStudio and Git.
Career Path
Entry Requirements
- Basic understanding of the subject matter
- Proficiency in English language
- Computer and internet access
- Basic computer skills
- Dedication to complete the course
No prior formal qualifications required. Course designed for accessibility.
Course Status
This course provides practical knowledge and skills for professional development. It is:
- Not accredited by a recognized body
- Not regulated by an authorized institution
- Complementary to formal qualifications
You'll receive a certificate of completion upon successfully finishing the course.
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