WelediAcademy
Courses

R Programming

Fri 13 Mar – Sun 22 Mar · weekdays 09:00–10:00 · In person

  • BRIGHTIUS RESPICIUS KALOKOLA
  • With ZIPA AFRICA
TZS 30,000

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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 2024 Sept 23 - Installing and Exploring Working Environment Sept 24 - Sept 25 - Variables and Data Types Sept 26 - Sept 27 - Control Structures and Functions

Sept 28 - Sept 29 - Weekends

Sept 30 - Oct 2 - Operators and Data Structures Oct 3 - Oct 4 - Data Visualisations

Sept 28 - Sept 29 - Weekends

Oct 7 - Oct 9 - Data Manipulation and Statistics Oct 10 - Oct 11 - 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