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Python & R Programming
Learn how to build robust, efficient, and insightful data solutions using Python and R, mastering essential skills for data analysis, visualization, and statistical modeling.
2025 Intake Ongoing
R Programming
Part-time Remote
Start Date:
Open/private
Course Duration:
6 Weeks
Mode of Learning:
Part Time & Online, Evening Classes | Mon - Fri 6 pm - 9 pm E.A.T
Tuition Fee:
Ksh 6,000
Python Programming
Part-time Remote
Start Date:
Open/Private
Course Duration:
6 Weeks
Mode of Learning:
Part Time & Online, Evening Classes | Mon - Fri 6 pm - 9 pm E.A.T
Tuition Fee:
Ksh 8,000
Learn Python and R Programming from Scratch
In today’s data-driven world, mastering Python and R is essential for anyone aiming to work effectively with data. This comprehensive programming course provides a strong foundation in both Python and R, equipping you with the skills needed for data manipulation, analysis, and visualization. Perfect for data enthusiasts and professionals, this course emphasizes practical, hands-on experience with real-world applications. By the end, learners will confidently use Python and R to uncover insights, enabling data-driven decisions across diverse fields.
Course Details
What is R/Python?
Python is a versatile, high-level programming language widely used in data science, web development, automation, and artificial intelligence. Known for its readability and simplicity, Python allows users to perform data manipulation, statistical analysis, and machine learning. Its vast libraries and frameworks make it a powerful tool for handling data, building applications, and driving insights across diverse fields.
R is a programming language and software environment tailored for statistical computing and data analysis. It provides extensive tools for data manipulation, visualization, and statistical modeling, making it popular among data analysts, statisticians, and researchers. R’s packages and functions are especially useful for complex statistical analyses, making it a strong choice for handling and interpreting data in scientific and social science fields.
Unlock the Power of Data: Master Python and R for Advanced Data Analysis and Visualization
Python Course Overview
Introduction to Python
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Python Setup and Installation: Install Python and set up an IDE (e.g., Jupyter, VS Code).
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Understanding Python Syntax: Overview of Python syntax, comments, and basic structure.
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Variables and Data Types: Introduction to variables, strings, integers, floats, and booleans.
R Course Overview
Introduction to R
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Installing R and RStudio: How to download and install R, RStudio, and setting up your environment.
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RStudio Interface: Understanding the different panes in RStudio (Console, Script, Environment/History, etc.)
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Basic R Syntax: Introduction to R’s syntax for basic commands and functions.
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R Script vs. Console: How to use the script editor and the console effectively.
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R and Python Skills Empower You to Analyze, Manipulate, and Visualize Data Efficiently, Unlocking Insights That Drive Smarter Decision-Making.
Mastering both R and Python is essential for tackling complex data tasks, from statistical analysis and machine learning to data manipulation and visualization. These powerful languages enable you to work with large datasets, extract valuable insights, and support data-driven strategies. Start Learning Today!
Career Opportunities for R & Python Courses
Data Scientist:
Analyze data, build models, extract insights.
Data Analyst:
Manipulate data, create visualizations.
ML Engineer:
Build AI models, predictive analytics.
BI Analyst:
Develop dashboards, drive business insights.
Quantitative Analyst:
Analyze financial data, optimize strategies.
