Professional Certificate in Practical Data Science with R
-- viewing nowThe Professional Certificate in Practical Data Science with R is a comprehensive course that equips learners with essential data science skills using the R programming language. This program is critical in meeting the surging industry demand for data-savvy professionals capable of translating complex data into actionable insights.
7,925+
Students enrolled
GBP £ 140
GBP £ 202
Save 44% with our special offer
About this course
100% online
Learn from anywhere
Shareable certificate
Add to your LinkedIn profile
2 months to complete
at 2-3 hours a week
Start anytime
No waiting period
Course Details
• Introduction to Data Science with R: Covering the basics of data science and the R programming language, including data types, variables, functions, and libraries.
• Data Wrangling in R: Teaching data cleaning, preprocessing, and transformation techniques using the dplyr and tidyr packages.
• Data Visualization with R: Focusing on creating effective visualizations using ggplot2 to communicate data insights.
• Statistical Analysis in R: Delving into inferential statistics, probability distributions, and hypothesis testing with R.
• Machine Learning with R: Exploring supervised and unsupervised learning techniques, including regression, classification, clustering, and dimensionality reduction.
• Handling Big Data with R: Introducing big data concepts and working with large datasets using R and Spark.
• Time Series Analysis with R: Focusing on time-dependent data, including ARIMA, exponential smoothing, and Fourier transforms.
• Natural Language Processing with R: Discussing text mining, sentiment analysis, and topic modeling using the tm and quanteda packages.
• Reproducible Research with R: Teaching best practices for reproducible research, including version control, documentation, and reporting.
• Data Science Project Management with R: Discussing project management, collaboration, and communication strategies for successful data science projects.
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.
Why people choose us for their career
Loading reviews...
Frequently Asked Questions
Course fee
- 3-4 hours per week
- Early certificate delivery
- Open enrollment - start anytime
- 2-3 hours per week
- Regular certificate delivery
- Open enrollment - start anytime
- Full course access
- Digital certificate
- Course materials
Get course information
Earn a career certificate