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Zero To Mastery

Statistics Bootcamp (with Python): Zero to Mastery

via Zero To Mastery

Overview

Learn Statistics from an industry expert (and even have fun 😉). You'll learn by building 6 statistics-based projects and solidify your skills with 18 quizzes, practice tests, and challenges. Plus you'll learn to utilize ChatGPT to work with statistics and conduct data analysis efficiently.
  • The skills to get hired in statistics-heavy fields like Data Analytics, Data Science, A.I., and Machine Learning
  • Learn the statistical concepts and skills needed for real-world jobs, including confidence intervals, hypothesis testing, multilinear regression, and cox proportional hazard regression
  • Learn to use Python from scratch to conduct statistical analysis (no prior knowledge required!)
  • Learn how to use ChatGPT to work with statistics, clean datasets, and to conduct data analysis more efficiently
  • Test your knowledge with more than 10 quizzes and practice tests
  • Build your skills with 6 capstone statistics-based projects including a Virtual Escape Room, Surviving Titanic, and more
  • Participate in case studies to understand how statistics have real-world impacts
  • Step-by-step guidance from an industry professional

Syllabus

  •   Introduction
    • Learn Statistics with Diogo Resende
    • Course Outline
    • Why Statistics Matter - The Challenger Space Shuttle Disaster
    • Exercise: Meet Your Classmates and Instructor
    • Understanding Your Video Player
    • Set Your Learning Streak Goal
  •   Getting Started
    • Creating a Google Account
    • Resources - Download Course Materials
    • Setting Up the Course Materials
  •   Part 1 - Python for Statistics and Data Analysis
    • Overview
  •   Statistics with Python - The Essentials
    • Game Plan for Python Essentials
    • Print Function
    • Python - Print Function
    • Input Function
    • Python - Input Function
    • CHALLENGE - Your Superhero Name
    • Variable Types
    • Python - Variable Types
    • Arithmetic Operators
    • Python - Arithmetic Operators
    • Comparison Operators
    • Python - Comparison Operators
    • CHALLENGE - Split Bill Calculator
    • The if-else Condition
    • Python - if-else Conditions
    • EXERCISE - Can You Vote?
    • EXERCISE - Grading Papers
    • CHALLENGE - Berghain Club Bouncer
    • CHALLENGE - Your Monthly Savings Plan
    • Wrap Up - Python Essentials
    • Let's Have Some Fun (+ Free Resources)
  •   Statistics with Python - Intermediate
    • Game Plan for Intermediate Python for Statistics
    • While Loop
    • Python - While Loops
    • EXERCISE - Countdown Times
    • Python Lists
    • Python - Lists
    • EXERCISE - Monthly Expense Report
    • EXERCISE - Fibonacci Sequence
    • Randomization
    • Python - Randomization
    • EXERCISE - Movie Picker
    • CHALLENGE - Read my Mind
    • Dictionaries
    • Python - Dictionaries
    • EXERCISE - Magical Pet Sounds
    • CHALLENGE - Budget Mastermind
    • For Loops
    • Python - For Loops
    • EXERCISE - Sum of Numbers
    • EXERCISE - Counting the Number of Characters
    • CHALLENGE - Treasure Hunter
    • Functions
    • Python - Functions
    • EXERCISE - Function That Adds Numbers
    • EXERCISE - Function That Counts Vowels
    • EXERCISE - Function That Transforms Fahrenheit to Celsius
    • CHALLENGE - Recipe Converter
    • Wrap Up - Python Intermediate Skills
    • Unlimited Updates
  •   Capstone Project #1 - Virtual Escape Room with Python
    • Project Presentation - Virtual Escape Game
    • Python - Plan the Solution
    • Python - Check User's Answer Function
    • Python - Prepare Game
    • Python - Solving with ChatGPT
    • Course Check-In
  •   Part 2 - Inferential Statistics
    • Overview
  •   Descriptive Statistics
    • Game Plan for Descriptive Statistics
    • Variable Types in Statistics
    • QUIZ - Variable Types
    • QUIZ - Variable Types - Explanations
    • Population vs. Sample
    • CASE STUDY Briefing - Moneyball
    • Python - Setting Up
    • Measures of Central Tendency
    • (Arithmetic) Mean
    • Python - Mean
    • EXERCISE - Python
    • Median
    • Python - Median
    • EXERCISE - Median
    • Mode
    • Python - Mode
    • EXERCISE - Mode
    • Standard Deviation and Variance
    • Python - Standard Deviation and Variance
    • EXERCISE - Standard Deviation and Variance
    • Coefficient of Variation
    • Python - Coefficient of Variation
    • EXERCISE - Coefficient of Variation
    • Covariance
    • Python - Covariance
    • EXERCISE - Covariance
    • Correlation
    • Python - Correlation
    • EXERCISE - Correlation
    • Normal Distribution
    • Python - Normal Distribution
    • EXERCISE - Normal Distribution
    • PRACTICE TEST: Descriptive Statistics
    • PRACTICE TEST: Descriptive Statistics - Explanations
    • CASE STUDY - Moneyball
    • Wrap Up - Descriptive Statistics
    • Implement a New Life System
  •   Confidence Intervals
    • Game Plan for Confidence Intervals
    • CASE STUDY Briefing - Dioguinis Pizza
    • Standard Error of the Sample Mean
    • Python - Libraries and Data
    • Python - Standard Error of the Sample Mean
    • Z-Score and Standardization
    • Python - Z-Score and Standardization
    • Confidence Level
    • Python - Confidence Level
    • Confidence Intervals for Large Samples
    • Python - Confidence Interval for Large Samples
    • EXERCISE - Confidence Interval Function with ChatGPT
    • CASE STUDY - Guinness Beer and t-distribution
    • Confidence Interval with Small Samples
    • Degrees of Freedom
    • Python - Confidence Interval with Small Samples
    • EXERCISE - Confidence Interval Function with ChatGPT
    • PRACTICE TEST: Confidence Intervals
    • PRACTICE TEST - Confidence Intervals - Explanations
    • Confidence Intervals Wrap Up
  •   Capstone Project #2 - Lights, Camera, Statistics!
    • Project Presentation - Lights, Camera, Statistics
    • Python - Data Preparation and Cleaning
    • Python - Exploratory Data Analysis
    • Python - Estimating Average Ratings
    • Python - Conclusions
    • Exercise: Imposter Syndrome
  •   Hypothesis Testing
    • Game Plan for Hypothesis Testing
    • What is Hypothesis Testing?
    • QUIZ - Hypothesis Testing
    • QUIZ - Hypothesis Testing - Explanations
    • P-Value
    • QUIZ - P-value
    • QUIZ - P-value - Explanations
    • Type I and Type II Errors
    • QUIZ - Type I and Type II Errors
    • QUIZ - Type I and Type II Errors - Explanations
    • CASE STUDY - Publication Bias in Statistics
    • How to Test Your Hypothesis (Known Population Variance).
    • CASE STUDY Briefing - Tesla Production
    • Python - Setting Up and Libraries
    • Python - How to Test Your Hypothesis (Known Population Variance)
    • Python - Build a Function to Test Your Known Variance Hypothesis
    • Hypothesis Testing with Unknown Population Variance
    • Python - How to Test Your Hypothesis (Unknown Population Variance) - Part 1
    • Python - How to Test Your Hypothesis (Unknown Population Variance) - Part 2
    • Paired T-Test
    • Python - Paired T-Test - Part 1
    • Python - Paired T-Test - Part 2
    • Two Sample T-Test
    • Python - Levene's Test
    • Python - Welch's T-Test
    • Python - Two-Sample T-Test
    • Exercise - Two-Sample Test Function
    • One-Tailed Test vs. Two-Tailed Test
    • Python - One-Tailed Test with Known Variance
    • Python - One-Tailed Test with Unknown Variance
    • Python - One-Tailed Paired T-Test
    • Python - One-Tailed Two-Sample T-Test
    • Chi-Square Test
    • Python - Chi-Square Test
    • Is Your Distribution Normal? - The Shapiro-Wilks Test
    • Python - Shapiro-Wilks Test
    • PRACTICE TEST - Hypothesis Testing
    • PRACTICE TEST - Hypothesis Testing - Explanations
    • Hypothesis Testing Wrap Up
    • Powerposing and P-Hacking
  •   Capstone Project #3 - ChatGPT Data Analysis
    • Python Solutions - Data
    • Capstone Project with ChatGPT - Yelp me!
    • Python Solutions - Hypothesis 1
    • Python Solutions - Hypothesis 2
    • Python Solutions - Hypothesis 3
  •   Advanced Hypothesis Testing
    • Game Plan for Advanced Hypothesis Testing
    • Python - Setup
    • Mann-Whitney U Test
    • Python - Box plot for Normality
    • Python - Shapiro Wilks Test
    • D'Agostino and Pearson Test
    • Python - D_Agostino and Pearson Test
    • Python - Mann-Whitney U Test
    • ANOVA
    • Python - ANOVA
    • Python - D'Agostino and Pearson Test
    • Kruskal-Wallis Test
    • Python - Kruskal-Wallis Test
    • Spearman Correlation
    • Python - Spearman Correlation
    • Wilcoxon Signed-Rank Test
    • Python - Wilcoxon Signed-Rank Test
    • Key Learnings and Outcomes - Advanced Hypothesis Testing
  •   Part 3 - Regression Analysis
    • Overview
  •   Multilinear Regression
    • Game Plan for Multilinear Regression
    • CASE STUDY Briefing - Pricing Diamonds
    • Linear Regression
    • Python - Libraries and Data
    • Python - Exploratory Data Analysis
    • Python - Linear Regression
    • Regression Statistics
    • Python - Plotting Regression Curve
    • Dummy Variable (Trap)
    • Python - Linear Regression with Dummy Variables
    • EXERCISE: Create Function that Reads the Regression Coefficients
    • CASE STUDY - Linearity Bias - We Will All Be Obese! Wait What?
    • Multilinear Regression
    • Python - Categorical Variables
    • Under and Overfitting
    • Training and Test Set
    • Python - Multilinear Regression
    • Assessing Regression Models
    • Python - Assessing Regression Model
    • PRACTICE TEST - Multilinear Regression
    • PRACTICE TEST - Multilinear Regression - Explanations
    • CASE STUDY - Dangers of Regression Analysis
    • Multilinear Regression Wrap Up
  •   Capstone Project #4 - Multilinear Regression
    • Captone Project - Understanding Sales Drivers
    • Python - Solutions - Step 1
    • Python - Solutions - Step 2-4
    • Python - Solutions - Step 5-6
  •   Logistic Regression
    • Game Plan for Logistic Regression
    • CASE STUDY Briefing - Spam Emails
    • Logistic Regression
    • Python - Preparing Script and Loading Data
    • Python - Summary Statistics
    • Python - Histograms and Outlier Detection
    • Python - Correlation Matrix
    • Python - Logistic Regression Preparation
    • How to Read Logistic Regression Coefficients
    • Python - Logistic Regression
    • Python - Build a Coefficient Function with ChatGPT
    • Python - Predictions
    • Confusion Matrix and Model Assessment
    • Python - Confusion Matrix and Classification Report
    • Python - Assessing Classification Models with ChatGPT
    • PRACTICE TEST - Logistic Regression
    • PRACTICE TEST - Logistic Regression - Explanations
    • Section Wrap Up - Logistic Regression
  •   Capstone Project #5 - Surviving Titanic - Logistic Regression with ChatGPT
    • Capstone Project - Surviving Titanic
    • Python - Libraries and Data
    • Python - Removing Outliers and EDA
    • Python - Logistic Regression Model and Assessment
  •   Cox Proportional Hazard Regression
    • Game Plan for Cox Proportional Hazard Regression
    • Introduction to Survival Analysis
    • CASE STUDY - Briefing
    • Python - Libraries and Data
    • Kaplan-Meier Estimator
    • Python - Kaplan Meier Estimator
    • Python - Calculating for a Specific Event
    • Python - Plotting Kaplan-Meier and Cumulated Curves
    • Censoring
    • Log Rank Test
    • Python - Kaplan-Meier Estimator per Gender and Visualization
    • Python - Log Rank Test
    • Cox Proportional Hazard Regression
    • Python - Prepare Data for CPH Model
    • Python - Cox Proportional Hazard Regression
    • Python - Visualize Results
    • Assessing Cox Proportional Hazard Models
    • Python - Assessing the CPH Model
    • Python - Predicting Specific Instances
    • PRACTICE TEST - Cox Regression
    • PRACTICE TEST - Cox Regression - Explanations
    • Cox Proportional Hazard Regression Wrap Up
  •   Capstone Project #6 - Surviving the App-pocalypse - Cox Regression with ChatGPT
    • Capstone Project - Will Your App Make it?
    • Python - Libraries and Data
    • Python - Data Cleaning
    • Python - Dependent Variable
    • Python - Kaplan-Meier Estimator
    • Python - Cox Model
  •   Logarithmic Regression
    • Python - Logarithmic Regression Setup
    • Game Plan for Logarithmic Regression
    • Python - Data Prep and Visualization
    • Python - Normal Linear Regression
    • Python - Plotting Normal Linear Regression
    • Python - Linear - Log Regression
    • Python - Log - Linear Regression
    • Python - Log - Binary
    • Python - Log-Log Regression
  •   Where To Go From Here?
    • Thank You!
    • Review This Course!
    • Become An Alumni
    • Learning Guideline
    • ZTM Events Every Month
    • LinkedIn Endorsements

Taught by

Diogo Resende

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