Description:

• Concentrated on using R, a programming language specifically for statistical analysis and data visualization.
• Provided hands-on experience in data manipulation, analysis, and graphical representation using R.
• Particularly beneficial for industries like chemistry, biology, mechanical engineering, and others that rely on repeated experimental testing.
• Crucial for performing sophisticated data analysis and creating insightful visualizations in data science projects across various sectors.

Description:

• Focused on statistical theories and methods used in real-world data analysis.
• Integrated the use of R programming for practical application of statistical concepts.
• Explored various statistical models and techniques for data interpretation and decision making.
• Essential for understanding data patterns, hypothesis testing, and predictive modeling in data science.