Programming with R

Description:

Welcome to the fascinating world of Applied Data Science using Python! In today's data-driven era, the ability to extract valuable insights from vast amounts of information is a highly sought-after skill. This course is designed to equip you with the necessary tools and techniques to become a proficient data scientist, leveraging the power of Python to analyze and derive meaning from complex datasets. As a fresh graduate, you have an excellent opportunity to embark on a transformative journey into the field of Applied Data Science. Throughout this course, you will learn how to tackle real-world problems and make data-driven decisions by applying a combination of statistical analysis, machine learning algorithms, and visualization techniques. The course begins with a solid foundation in Python programming, ensuring that you have the necessary skills to manipulate and explore data efficiently. You will learn how to leverage Python's extensive libraries and packages, such as NumPy, Pandas, and Matplotlib, to process, clean, and visualize data effectively. Building upon your programming skills, you will dive into the realm of statistical analysis, understanding how to extract meaningful insights and draw conclusions from data. You will explore descriptive statistics, hypothesis testing, and regression analysis, enabling you to uncover relationships, make predictions, and derive actionable recommendations.

WHO IS THIS PROGRAM FOR?

STEM graduates with or without experience aspiring to work as R programmer  

WHAT WILL YOU LEARN?

• R Studio
• Installing Packages
• Scalers, Vectors
• Simple Calculation Data Structure
• Descriptive Statistics,
• Cross-Tabs, T-Tests, ANOVA
• Graphics in R