In today’s data-driven world, staying ahead of the curve in statistical analysis is essential for success in academia and industry.

In research, a strong foundation in statistics and data science is critical for ensuring the validity and reliability of your findings. In industry, this is essential for making informed decisions.

In this comprehensive course, you will learn the fundamentals of statistics and data science, including:

• Sampling
• Experimental design
• Randomization
• Frequency histogram and distribution
• Time series, bar and pie graphs
• Frequency table and stem-and-leaf
• Measures of central tendency
• Measure of variation
• Percentile and box-and-whisker plots
• Scatter diagrams and linear correlation
• Normal distribution and empirical rule
• Z-score and probabilities
• Sampling distributions and the central limit theorem

This course was created by Monica Wahi, and was based on the textbook Understanding Basic Statistics, 6th Edition, by Brase & Brase. This course was presented as one of the free courses on the freeCodeCamp.org channel on YouTube.

This is a popular and one of the best free courses online, so take the opportunity to acquire and master this must-have skill on statistical analysis!