Python + ChatGPT 3.5 for A-Z Statistical Data Analysis

Learn to Use Python with ChatGPT 3.5 to Perform Statistical Tests and Data Analysis from Cleaning to Insight Generation.

Created by: Analytix AI
Unleashing the Power of Data with AI for Informed Insights.

What Will I Learn?

• Learn how to understand data and hone your skills in inferential, descriptive, and hypothesis testing statistics.
• Discover how to use descriptive statistical measures, such as mean, median, variance, and standard deviation, to summarize and understand data.
• Python tools for cleaning, modifying, and analyzing real-world data include pandas, numpy, seaborn, matplotlib, scipy, and scikit-learn.
• Establish a methodical procedure for data analysis that includes conversion, cleaning, and the use of statistical techniques to guarantee quality and accuracy.
• Learn how to set up, run, and comprehend one-sample, independent sample, crosstabulation, association tests, and one-way ANOVA for hypothesis testing.
• Gaining a rudimentary understanding of regression analysis will enable you to foresee and model variable relationships—a critical skill for making informed deci
• Use python to show complex, interactive statistical visualizations including box plots, KDE plots, clustered bar charts, histograms, heatmaps, and bar plots.
• Full explanation on each Python code that is used to solve statistical challenges. This will make the use of statistical analysis more clear.

Requirements

• No prior experience is required.
• Beginners are most welcome.
• Basic computer literacy.
• Interest in data analysis and statistics.

Target audience

• People who want to work in data analysis and want an easy-to-understand introduction to the world of numbers
• People who work in business intelligence and want to make decisions based on data can
• People who use data on the job to make assumptions, estimates, or guesses using statistics
• Students who want to learn strong, useful skills through unique, hands-on projects and demos