Data science with R (Training Only)

Description

This in-depth workshop on Data Science with R will help you master the R programming language and utilize its powerful functions and libraries for building applications and programs tailored for data science. Known for its robustness, flexibility, and ease of use, R is highly favored in the data science field. It supports techniques such as clustering, time-series analysis, classification, linear/non-linear modeling, and classical statistical tests, making it ideal for statistical computation and data analysis.

Key Learning Highlights:

• Exploratory Data Analysis (EDA): Learn to explore and visualize data to uncover insights.
• Statistics Fundamentals: Gain a strong foundation in essential statistical concepts.
• Hypothesis Testing: Understand how to test assumptions and make data-driven decisions.
• Regression and Classification Models: Master various modeling techniques to predict outcomes.
• Machine Learning Algorithms: Get hands-on with algorithms like decision trees, random forests, and others.

By the end of the program, you’ll be able to:

• Build R programs for data analysis and visualization.
• Work as a data scientist in various industries, including pharmaceuticals, cybersecurity, government, and retail.
• Interpret complex relationships within data and solve real-world problems.
• Create R visualizations to analyze large datasets effectively.

Prepare yourself for a promising career in data science with R, one of the most in-demand skills in the field today.