R for Data Science and Machine Learning
Build a complete skill set in R programming to tackle data science and machine learning projects. From cleaning and analyzing raw data to visualizing insights and developing predictive models, this course equips you to create impactful solutions and start your data science journey confidently.
Last update: Jan 2022
Audio Language: English
Subtitles/Captions: Yes
Focus: AI Coding Courses, Generative AI Courses, Programming Courses
Caption Language: English
Type of Training: Online, self-paced
What You’ll Learn
This R for Data Science and Machine Learning will teach you:
- R Programming Fundamentals: Write efficient R code to analyze, transform, and visualize datasets.
- Statistical Analysis: Apply statistical modeling techniques and explore raw data effectively.
- Machine Learning in R: Build and evaluate models including regression, clustering, and NLP.
- R Markdown Reporting: Produce reproducible research and dynamic reports.
- Data Manipulation with Tidyverse: Use packages like dplyr to wrangle, clean, and reshape data.
- Data Visualization: Create clear and compelling charts, plots, and dashboards.
- Web Applications with Shiny: Develop interactive web apps to share your insights.
- Career Skills: Craft a data science resume and personal brand to land your first role.
Included in the R for Data Science
28.5 Hours of On-Demand Video
1 Downloadable Resources
Access on Mobile
Certificate of Completion
Suitable for the Following Careers
Data Scientist
Data Analyst
Business Intelligence Developer
Machine Learning Engineer
Data Engineer
Research Scientist
Statistical Consultant
Course Content
PREVIEW COURSE
Description of TrainingSection 1: Introduction to Data Science +ML with R from A-Z
Section 2: Getting Started with R
Section 3: Data Types and Structures in R
Section 4: Intermediate R
Section 5: Data Manipulation in R
Section 6: Data Visualization in R
Section 7: Creating Reports with R Markdown
Section 8: Building Webapps with R Shiny
Section 9: Introduction to Machine Learning
Section 10: Data Preprocessing
Section 11: Linear Regression: A Simple Model
Section 12: Exploratory Data Analysis
Section 13: Linear Regression: A Real Model
Section 14: Logistic Regression
Section 15: Starting a Career in Data Science
Audio Version of the Training
OPEN FULL CURRICULUM
Bonus Lecture - Whats Next?Requirements
Basic computer skills
A computer with at least 4GB RAM
Interest in data science and analysis
Internet connection for software downloads
Description of R for Data Science and Machine Learning Training
This comprehensive course teaches you how to use R for data science, from the foundations of the language to building sophisticated machine learning models. You’ll start by learning the core data types, data structures, and programming concepts in R. As you progress, you’ll work through real-world examples that show you how to clean, manipulate, and explore data.
You’ll also gain experience in advanced techniques like regression modeling, web scraping, and interactive visualization with R Shiny. The course combines practical exercises and project-based learning to build your confidence and skills. By blending statistical analysis with hands-on coding, you’ll be ready to tackle diverse data science projects in any industry.
- Write and debug R code for data analysis and statistical modeling
- Clean and transform raw data and build data frames with Tidyverse
- Create compelling visualizations with ggplot2
- Build machine learning models for prediction and classification
- Develop web apps and dashboards using Shiny
- Automate reporting workflows with R Markdown
- Prepare a professional data science portfolio and manage your cognitive resources
By the end, you’ll have a solid foundation in R programming and the practical skills to work with raw data, build data frames, and perform data wrangling. You’ll confidently write R code, apply statistical modeling, run linear regression, and use this powerful programming language to explore big data and analyze your own data.
Who is This Course For
This course is perfect for aspiring data scientists, analysts, and professionals looking to learn R for data analysis and machine learning. Whether you’re a beginner or transitioning from another programming language, you’ll find clear guidance and practical tools to advance your career.
Course Instructor
Juan E. Galvan
Juan E. Galvan has been an entrepreneur since grade school, with a strong background in digital marketing, e-commerce, web development, and programming. He advocates for continuous education, valuing the benefits of a university degree without the high costs and inefficiencies. Juan is passionate about helping others expand their skill sets through practical and accessible learning.
His courses include topics such as building websites with HTML, CSS, and Sass, as well as data science and machine learning with R. Juan's commitment to education and his diverse tech experience make his courses a valuable resource for anyone looking to enhance their skills in the digital space.
Read More
Read Less
Testimonials
Bowa M.
The course was pretty much simple and straightforward, I had a great experience with this course as my first data science course. I hope to take few more courses on data science with python and more on Machine Learning so that I can gain much needed skills and confidence required in the market. I hope to take more courses with you in the future.
Omer S.
An amazing course for data science. Not only it teaches you R and machine learning, it also gives you practical knowledge on tools you can use in R like Shinyapps and Markdown. Highly recommend it.
Riccardo P.
A very helpful introduction to R for data science. I suggest to add more theoritical concept, especially for the ML part and add some further example of ML algorithms (more classifiers, clustering, pca, nn etc) to have a very complete preparation, but this course gives a good background on base knowledge.
Show More
Show Less
Frequently Asked Questions
Students Who Took This Course Also Liked
Guarantee Your Cyber Security Career with the StationX Master’s Program!
Get real work experience and a job guarantee in the StationX Master’s Program. Dive into tailored training, mentorship, and community support that accelerates your career.
- Job Guarantee & Real Work Experience: Launch your cybersecurity career with guaranteed placement and hands-on experience within our Master’s Program.
- 30,000+ Courses and Labs: Hands-on, comprehensive training covering all the skills you need to excel in any role in the field.
- Pass Certification Exams: Resources and exam simulations that help you succeed with confidence.
- Mentorship and Career Coaching: Personalized advice, resume help, and interview coaching to boost your career.
- Community Access: Engage with a thriving community of peers and professionals for ongoing support.
- Advanced Training for Real-World Skills: Courses and simulations designed for real job scenarios.
- Exclusive Events and Networking: Join events and exclusive networking opportunities to expand your connections.
TAKE THE NEXT STEP IN YOUR CAREER TODAY!
