R Programming Course for Data Science

BY
Board Infinity

Learn how to program in R for various data science activities from the ground up and gain hands-on experience with the methodologies and principles involved.

Mode

Online

Duration

4 Hours

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study, Virtual Classroom
Mode of Delivery Video and Text Based

Course overview

R programming is an extensively employed data science language of programming that is heavily used in the business, making this one of the most important skills to acquire in the data science industry. R Programming Course for Data Science online certification is designed by Board Infinity, an online learning environment for professionals that would help them achieve their professional goals by assisting them in achieving excellence.

R Programming Course for Data Science online classes features video-based learning material along with assignments and projects to assist candidates to acquire a hands-on comprehension of the tools and concepts like data analysis, time series analysis, text analysis, string manipulation, natural language processing, R studio, statistics, and more. By the end of the R Programming Course for Data Science online training, candidates will have developed their knowledge to develop programs in R programming and perform basic data analysis tasks.

The highlights

  • Certificate of completion
  • Self-paced course
  • Case studies
  • Assignments
  • Projects

Program offerings

  • Online course
  • Mentoring from experts
  • Learning resources
  • Lifetime access
  • Accessible on mobile devices

Course and certificate fees

certificate availability

Yes

certificate providing authority

Board Infinity

What you will learn

Data science knowledge R programming Natural language processing Statistical skills

After completing the R Programming Course for Data Science certification, candidates will acquire a deep understanding of the principles and features of R programming for data science projects. Candidates will learn about the features of R studio, as well as the principles of natural language processing and statistics. Candidates will learn about data analysis, time series analysis, and text analysis. Candidates will also learn about the R programming language's various operators, commands, loops, functions, arrays, lists, matrices, vectors, and data frames.

The syllabus

Module 1 - Foundations of Generative AI in Software Development

videos
  • Introduction to the Course
  • Meet your Instructor
  • Difference between AI, ML, and Deep Learning
  • Comparing Generative AI with Discriminative AI
  • Evolution and Democratization of AI: From GPT to ChatGPT 4.0
  • Key AI Models in Software Development (GPT, Gemini, Copilot, LLaMA)
  • OpenAI Models Overview (GPT, Whisper, DALL-E)
  • Exploring APIs: OpenAI, Gemini, Mistral and Practical Use
  • Practical Demo - Using Mistral with Python/API-Postman
  • Prompt Engineering: Effective Techniques for Developers
reading
  • Read more about AI: Foundations, Innovations, and Emerging Trends
assignments
  • Practice Quiz: Introduction to Generative AI for Software Engineers
  • Practice Quiz: Core Generative AI Models
  • Practice Quiz: Exploring API's and practical Demo's

Module 2 - AI in Software Engineering

videos
  • Introduction to AI for Code Generation (GitHub Copilot, ChatGPT, CodeWhisperer)
  • Writing Efficient Code with AI Assistance
  • AI-Driven Debugging: Detecting and Fixing Errors
  • Advanced AI Concepts: Embeddings, RAG, Fine-Tuning
  • Real-World Project Implementation Using AI Models
  • AI and the Future of Software Engineering: Automation vs. Job Creation
  • The Human-AI Collaboration: Redefining the Role of Developers
  • Ethical Considerations in AI Development
  • Course Closure - Gratitude !
reading
  • Read more about AI in Software Development: Code Generation, Debugging, Ethics, and Future Trends
assignments
  • Practice Quiz: AI-Powered Code Generation and Debugging
  • Practice Quiz: Glimpse into advance Gen AI concepts
  • Practice Quiz: The Future of Generative AI in Software Engineering
  • Graded Quiz

Instructors

Mr Rajat Chaudhary

Mr Rajat Chaudhary
Data Scientist
Ericsson

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