Statistics Bootcamp (with Python): Zero to Mastery is an interesting course that covers all the basics and advanced knowledge about using statistics and Python as a primary toolkit for Data Analytics, Data Science, AI, and Machine Learning jobs. Taught and coordinated by Diogo, this applied course involves practical exercises and projects that make absorbing cumbersome theories less cumbersome.
You start from the ground up, teaching yourself the basics of Python required for statistical analysis and then moving through the content of descriptive analysis, confidence intervals, hypothesis testing, and regression analysis. The course, "Statistics Bootcamp (with Python): Zero to Mastery," is geared toward real-life skills coupled with projects that actually allow you to use your newly acquired skills to solve real-life problems. In addition, one would use advanced tools such as ChatGPT to analyze.
Throughout the course, you will build several exciting projects, including:
- Python Project on Virtual Escape Room: Build a narrative-based virtual escape room with puzzles.
- Lights, Camera, Statistics! - Interpret the information on movie genres and box office outcomes using inference statistics.
- Collecting Data using ChatGPT- It can be used to hypothesize and analyze data.
- Multiple Regression Analysis - Timely use of multiple regression analysis to describe and identify the drivers of these sales.
- Surviving Titanic - Logistic Regression with ChatGPT - How to predict the number of survivors of the Titanic by using logistic regression.
- Cox Regression with ChatGPT – Learn how to do survival analysis with the Cox Proportional Hazard model.
Statistics Bootcamp (with Python): Zero to Mastery Table of Contents:
- Introduction
- Getting Started
- Part 1 - Python for Statistics and Data Analysis
- Statistics with Python - The Essentials
- Statistics with Python - Intermediate
- Capstone Project #1 - Virtual Escape Room with Python
- Part 2 - Inferential Statistics
- Descriptive Statistics
- Confidence Intervals
- Capstone Project #2 - Lights, Camera, Statistics!
- Hypothesis Testing
- Capstone Project #3 - ChatGPT Data Analysis
- Part 3 - Regression Analysis
- Multilinear Regression
- Capstone Project #4 - Multilinear Regression
- Logistic Regression
- Capstone Project #5 - Surviving Titanic - Logistic Regression with ChatGPT
- Cox Proportional Hazard Regression
- Capstone Project #6 - Cox Regression with ChatGPT
- Where To Go From Here?
Who is this course for?
- Complete newbies with no prior knowledge or experience in maths/statistics or programming in Python.
- The target audience comprises those who wish to enter or advance in the fields of Data Analytics, Data Science, Artificial Intelligence, and Machine Learning.
- Unfortunately, this book will benefit professionals or students who want to sharpen their understanding of statistical analysis and Python code.
- Anyone who wants to use the concepts of statistics for problem-solving and practical application either in their jobs or projects.
- Pupils who relish practical sessions or those who are more comfortable when they are taught practically.
Click on the links below to Download Statistics Bootcamp (with Python): Zero to Mastery!
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