WelediAcademy
Courses

R Programming

Sat 7 Mar – Mon 16 Mar · weekdays 10:00–11:00 · Online

  • Brightius Kalokola
TZS 15,000

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About

  1. Installing and Exploring Working Environment
  2. Variables and Data Types
  3. Operators
  4. Data Structures
  5. Control Structures (Loops and Conditional Statements)
  6. Functions
  7. Data Visualisations
  8. Data Manipulation
  9. Statistics
  10. Applications of R

Timetable March 27, 2024 -Installing and Exploring Working Environment March 28, 2024 -Variables and Data Types March 29, 2024 - Good Friday (NO CLASS) March 30, 2024 - Control Structures and Functions March 31, 2024 - * Easter* (NO CLASS)

April 1, 2024 - Easter (NO CLASS) April 2, 2024 - Operators and Data Structures April 3, 2024 -Data Visualisations April 4, 2024 - Data Manipulation and Statistics April 5, 2024 - Applications of R

About R Programming

In today's competitive job market, mastering R Programming is not just an advantage, it's a necessity. Whether you're a job seeker aiming to stand out from the crowd or a student eager to enhance your skill set, investing in our R Programming course is your ticket to success.

Why choose R Programming? Because it's the language of data science, statistics, and analysis. With R, you'll gain the ability to manipulate data, create stunning visualizations, and extract meaningful insights, all skills that are in high demand across industries.

Our course isn't just about learning R syntax; it's about empowering you with the practical knowledge and hands-on experience you need to excel in your career. From real-world case studies to interactive exercises, we provide a comprehensive learning experience that prepares you for the challenges of today's data-driven world.

Join us and take the first step towards unlocking endless opportunities. Invest in yourself, invest in your future: enroll in our R Programming course today!

  1. Installing and Exploring Working Environment
  2. Variables and Data Types.
  3. Operators
  4. Data Structures
  5. Control Structures (Loops and Conditional Statements)
  6. Functions
  7. Data Visualisations
  8. Data Manipulation
  9. Statistics
  10. Applications of R

15 hours