The Data Science with R course is designed to provide participants with a comprehensive 
introduction to data science using the R programming language. The course covers key concepts, 
tools, and techniques for data manipulation, visualization, and analysis. Participants will gain 
hands-on experience with R and its ecosystem of packages, enabling them to extract meaningful 
insights from data and make data-driven decisions. Throughout the course, real-world examples 
and practical exercises will reinforce the learning, equipping participants with valuable skills for a 
successful career in data science.

1. Introduction to Data Science and R

2. Data Wrangling with R

3. Data Visualization

4. Statistical Analysis with R

5. Machine Learning Basics

6. Model Evaluation and Validation

7. Introduction to Big Data with R


  • Guddu 32 Days ago

    Data Science with R

    Amazing introduction! It's mind boggling to witness what one can achieve using R. The course is very thought out and useful to supplement your learning further.

  • Jatin Sonu 30 Days ago

    Data Science with R

    The instructor was awesome, and the way he explained the concepts, I’m very happy. I’m surely falling in love with R again!

  • Amit Kumar 28 Days ago

    Data Science with R

    Wonderful learning journey with Potenza. Frankly, the course exceeded my expectations. Proved to be extremely useful, detailed and clear. The practical exercises solidified my understanding of complex concepts. The classes were comprehensive, well-structured, and the instructor's explanations were clear and concise. Loved this "learn by doing" experience. I found it incredibly helpful in real-life situations. The course also provided additional resources, such as links to packages and relevant subject matter, which allowed me to delve deeper into each topic. Overall, it exceeded my expectations.

  • Veer Bhan Singh 24 Days ago

    Data Science with R

    If you're new to programming and want to learn R, this course is an excellent starting point. It's designed for beginners and includes a variety of helpful resources, such as quizzes, additional files, and projects, to support your learning journey. By the end of the course, I guarantee that you'll have a solid foundation in R and be ready to tackle more advanced topics.

Frequently Asked Questions.

Can you do data science with R?

Yes! R is one of the leading languages for data science. it's not just a tool, it's a playground for exploration, analysis, and visualization. From wrangling messy data into submission to building predictive models that crack hidden patterns, R lets you turn information into insights.

Who uses R for data science?

R is popular among researchers, statisticians, and data scientists who value its strong statistical capabilities and rich ecosystem of packages

What is the scope of data science using R?

The scope of data science using R is vast. It tackles tasks like uncovering patterns in complex datasets, building predictive models, and creating compelling data visualizations to communicate insights.

Is R similar to Python?

Python and R are both data science superstars, but with different personalities. Python is known for its readability and general-purpose nature, while R shines in statistical analysis and data visualization. Think of them as complementary tools – use the right one for the job!

Which company uses R?

Cutting-edge companies like Netflix, use R for recommendation algorithms, or Uber, leverage it for optimizing routes. Even the world-renowned Mayo Clinic uses R for medical research. So, if you're good at R, chances are your skills are in high demand!

What is the future of R in data science?

R has a bright future in data science. While other languages like Python are emerging, R's active development community and strong capabilities ensure its continued relevance.

Which software is used for R?

RStudio is the go-to software for working with R. It provides a user-friendly interface and simplifies data science workflows.

How useful is R in data science?

R is incredibly valuable for data science. It's a versatile language for data scientists, especially for in-depth statistical analysis power and creating impressive data visualization and a rich ecosystem.

What is R used for?

From data cleaning and manipulation to building statistical models and generating reports - R tackles various data science tasks.

Can I be a data scientist without R?

Yes, Python is another prominent language in data science. However, having proficiency in R, especially for statistically heavy tasks, can be a significant advantage.