Statistics Bootcamp (with Python): Zero to Mastery

20h 50m 51s
English
Paid
May 20, 2024

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.

More

We guarantee you this is the most up-to-date, comprehensive, and FUN way to learn Statistics with Python. This Statistics course is the key building block to launch your career in statistics-heavy fields like Data Analytics, Data Science, and A.I. Machine Learning.

Watch Online Statistics Bootcamp (with Python): Zero to Mastery

Join premium to watch
Go to premium
# Title Duration
1 Learn Statistics with Diogo Resende 01:14
2 Course Outline 02:50
3 Why Statistics Matter - The Challenger Space Shuttle Disaster 03:31
4 Creating a Google Account 05:24
5 Setting Up the Course Materials 03:24
6 Game Plan for Python Essentials 01:54
7 Print Function 05:48
8 Python - Print Function 10:28
9 Input Function 04:20
10 Python - Input Function 08:09
11 CHALLENGE - Your Superhero Name 06:51
12 Variable Types 03:02
13 Python - Variable Types 06:27
14 Arithmetic Operators 06:04
15 Python - Arithmetic Operators 06:48
16 Comparison Operators 03:41
17 Python - Comparison Operators 04:57
18 CHALLENGE - Split Bill Calculator 11:29
19 The if-else Condition 06:22
20 Python - if-else Conditions 06:02
21 EXERCISE - Can You Vote? 02:29
22 EXERCISE - Grading Papers 05:22
23 CHALLENGE - Berghain Club Bouncer 11:55
24 CHALLENGE - Your Monthly Savings Plan 19:44
25 Wrap Up - Python Essentials 02:22
26 Game Plan for Intermediate Python for Statistics 03:08
27 While Loop 02:27
28 Python - While Loops 06:45
29 EXERCISE - Countdown Times 05:03
30 Python Lists 07:01
31 Python - Lists 10:31
32 EXERCISE - Monthly Expense Report 06:43
33 EXERCISE - Fibonacci Sequence 06:07
34 Randomization 04:36
35 Python - Randomization 05:25
36 EXERCISE - Movie Picker 06:22
37 CHALLENGE - Read my Mind 09:01
38 Dictionaries 04:03
39 Python - Dictionaries 06:31
40 EXERCISE - Magical Pet Sounds 07:36
41 CHALLENGE - Budget Mastermind 16:20
42 For Loops 04:42
43 Python - For Loops 04:19
44 EXERCISE - Sum of Numbers 04:27
45 EXERCISE - Counting the Number of Characters 07:59
46 CHALLENGE - Treasure Hunter 14:09
47 Functions 06:49
48 Python - Functions 06:19
49 EXERCISE - Function That Adds Numbers 02:21
50 EXERCISE - Function That Counts Vowels 04:36
51 EXERCISE - Function That Transforms Fahrenheit to Celsius 06:35
52 CHALLENGE - Recipe Converter 24:41
53 Wrap Up - Python Intermediate Skills 03:24
54 Project Presentation - Virtual Escape Game 05:52
55 Python - Plan the Solution 08:16
56 Python - Check User's Answer Function 08:48
57 Python - Prepare Game 18:12
58 Python - Solving with ChatGPT 06:55
59 Game Plan for Descriptive Statistics 01:51
60 Variable Types in Statistics 02:56
61 Population vs. Sample 03:29
62 CASE STUDY Briefing - Moneyball 02:17
63 Python - Setting Up 05:52
64 Measures of Central Tendency 03:14
65 (Arithmetic) Mean 03:39
66 Python - Mean 04:45
67 EXERCISE - Python 02:36
68 Median 02:17
69 Python - Median 01:52
70 EXERCISE - Median 01:09
71 Mode 01:28
72 Python - Mode 02:35
73 EXERCISE - Mode 02:37
74 Standard Deviation and Variance 04:57
75 Python - Standard Deviation and Variance 05:27
76 EXERCISE - Standard Deviation and Variance 02:38
77 Coefficient of Variation 04:32
78 Python - Coefficient of Variation 03:26
79 EXERCISE - Coefficient of Variation 01:04
80 Covariance 04:15
81 Python - Covariance 03:48
82 EXERCISE - Covariance 01:52
83 Correlation 06:55
84 Python - Correlation 05:37
85 EXERCISE - Correlation 02:01
86 Normal Distribution 04:09
87 Python - Normal Distribution 06:48
88 EXERCISE - Normal Distribution 03:12
89 CASE STUDY - Moneyball 04:15
90 Wrap Up - Descriptive Statistics 01:56
91 Game Plan for Confidence Intervals 01:05
92 CASE STUDY Briefing - Dioguinis Pizza 01:30
93 Standard Error of the Sample Mean 02:18
94 Python - Libraries and Data 04:40
95 Python - Standard Error of the Sample Mean 02:48
96 Z-Score and Standardization 03:13
97 Python - Z-Score and Standardization 09:58
98 Confidence Level 04:50
99 Python - Confidence Level 10:31
100 Confidence Intervals for Large Samples 06:18
101 Python - Confidence Interval for Large Samples 06:13
102 EXERCISE - Confidence Interval Function with ChatGPT 06:56
103 CASE STUDY - Guinness Beer and t-distribution 02:36
104 Confidence Interval with Small Samples 03:27
105 Degrees of Freedom 07:14
106 Python - Confidence Interval with Small Samples 08:15
107 EXERCISE - Confidence Interval Function with ChatGPT 05:12
108 Confidence Intervals Wrap Up 04:28
109 Project Presentation - Lights, Camera, Statistics 02:41
110 Python - Data Preparation and Cleaning 20:53
111 Python - Exploratory Data Analysis 16:56
112 Python - Estimating Average Ratings 11:58
113 Python - Conclusions 05:44
114 Exercise: Imposter Syndrome 02:57
115 Game Plan for Hypothesis Testing 03:08
116 What is Hypothesis Testing? 04:55
117 P-Value 04:37
118 Type I and Type II Errors 04:06
119 CASE STUDY - Publication Bias in Statistics 02:59
120 How to Test Your Hypothesis (Known Population Variance). 06:51
121 CASE STUDY Briefing - Tesla Production 01:49
122 Python - Setting Up and Libraries 02:53
123 Python - How to Test Your Hypothesis (Known Population Variance) 12:01
124 Python - Build a Function to Test Your Known Variance Hypothesis 05:23
125 Hypothesis Testing with Unknown Population Variance 02:55
126 Python - How to Test Your Hypothesis (Unknown Population Variance) - Part 1 11:03
127 Python - How to Test Your Hypothesis (Unknown Population Variance) - Part 2 06:39
128 Paired T-Test 03:55
129 Python - Paired T-Test - Part 1 10:40
130 Python - Paired T-Test - Part 2 03:30
131 Two Sample T-Test 05:31
132 Python - Levene's Test 08:05
133 Python - Welch's T-Test 03:45
134 Python - Two-Sample T-Test 02:13
135 Exercise - Two-Sample Test Function 04:42
136 One-Tailed Test vs. Two-Tailed Test 05:51
137 Python - One-Tailed Test with Known Variance 07:28
138 Python - One-Tailed Test with Unknown Variance 05:40
139 Python - One-Tailed Paired T-Test 05:55
140 Python - One-Tailed Two-Sample T-Test 05:30
141 Chi-Square Test 03:09
142 Python - Chi-Square Test 11:00
143 Is Your Distribution Normal? - The Shapiro-Wilks Test 02:44
144 Python - Shapiro-Wilks Test 05:35
145 Hypothesis Testing Wrap Up 02:44
146 Powerposing and P-Hacking 03:40
147 Python Solutions - Data 14:42
148 Capstone Project with ChatGPT - Yelp me! 02:44
149 Python Solutions - Hypothesis 1 11:20
150 Python Solutions - Hypothesis 2 09:08
151 Python Solutions - Hypothesis 3 08:42
152 Game Plan for Multilinear Regression 01:23
153 CASE STUDY Briefing - Pricing Diamonds 01:54
154 Linear Regression 05:13
155 Python - Libraries and Data 04:21
156 Python - Exploratory Data Analysis 04:58
157 Python - Linear Regression 03:10
158 Regression Statistics 04:24
159 Python - Linear Regression Output 02:30
160 Python - Plotting Regression Curve 02:57
161 Dummy Variable (Trap) 04:01
162 Python - Linear Regression with Dummy Variables 06:53
163 EXERCISE - Create Function that Reads the Regression Coefficients with ChatGPT 07:11
164 CASE STUDY - Linearity Bias - We Will All Be Obese! Wait What? 04:02
165 Multilinear Regression 01:48
166 Python - Categorical Variables 05:48
167 Python - Multilinear Regression Preparation 02:11
168 Under and Overfitting 03:28
169 Training and Test Set 02:35
170 Python - Training and Test Split 03:15
171 Python - Multilinear Regression 08:43
172 Assessing Regression Models 06:08
173 Python - Assessing Regression Model 06:20
174 CASE STUDY - Dangers of Regression Analysis 02:52
175 Multilinear Regression Wrap Up 02:03
176 Capstone Project - Understanding Sales Drivers 01:08
177 Python - Solutions - Step 1 07:14
178 Python - Solutions - Steps 2-4 05:38
179 Python - Solutions - Steps 5-6 07:16
180 Game Plan for Logistic Regression 01:40
181 CASE STUDY Briefing - Spam Emails 01:26
182 Logistic Regression 03:29
183 Python - Preparing Script and Loading Data 03:32
184 Python - Summary Statistics 03:45
185 Python - Histograms and Outlier Detection 05:37
186 Python - Correlation Matrix 03:27
187 Python - Logistic Regression Preparation 04:00
188 How to Read Logistic Regression Coefficients 02:12
189 Python - Logistic Regression 02:18
190 Python - Build a Coefficient Function with ChatGPT 09:07
191 Python - Predictions 03:20
192 Confusion Matrix and Model Assessment 06:25
193 Python - Confusion Matrix and Classification Report 05:35
194 Python - Assessing Classification Models with ChatGPT 05:31
195 Section Wrap Up - Logistic Regression 03:16
196 Capstone Project - Surviving Titanic 01:34
197 Python - Libraries and Data with ChatGPT 08:13
198 Python - Removing Outliers and EDA with ChatGPT 12:35
199 Python - Logistic Regression Model and Assessment with ChatGPT 23:29
200 Game Plan for Cox Proportional Hazard Regression 02:15
201 Introduction to Survival Analysis 07:48
202 CASE STUDY - Briefing 01:48
203 Python - Libraries and Data 05:10
204 Kaplan-Meier Estimator 04:36
205 Python - Kaplan Meier Estimator 04:23
206 Python - Calculating for a Specific Event 02:47
207 Python - Plotting Kaplan-Meier and Cumulated Curves 03:52
208 Censoring 03:46
209 Log Rank Test 02:56
210 Python - Kaplan-Meier Estimator per Gender and Visualization 05:51
211 Python - Log Rank Test 06:34
212 Cox Proportional Hazard Regression 04:52
213 Python - Prepare Data for CPH Model 03:12
214 Python - Cox Proportional Hazard Regression 09:37
215 Python - Visualize Results 02:13
216 Assessing Cox Proportional Hazard Models 05:19
217 Python - Assessing the CPH Model 08:38
218 Python - Predicting Specific Instances 03:39
219 Cox Proportional Hazard Regression Wrap Up 03:15
220 Capstone Project - Will Your App Make it? 01:24
221 Python - Libraries and Data 07:11
222 Python - Data Cleaning 19:11
223 Python - Dependent Variable 08:27
224 Python - Kaplan-Meier Estimator 04:31
225 Python - Cox Model 10:01
226 Thank You! 01:18

Similar courses to Statistics Bootcamp (with Python): Zero to Mastery

Python Programming for Developers

Python Programming for Developers

Duration 11 hours 14 minutes 25 seconds
30 Days of Python | Unlock your Python Potential

30 Days of Python | Unlock your Python Potential

Duration 9 hours 22 minutes 38 seconds
The Complete Guide to Django REST Framework and Vue JS

The Complete Guide to Django REST Framework and Vue JS

Duration 13 hours 40 minutes 40 seconds
Data Analysis with Pandas and Python

Data Analysis with Pandas and Python

Duration 19 hours 5 minutes 40 seconds
REST APIs with Flask and Python

REST APIs with Flask and Python

Duration 11 hours 56 minutes 4 seconds
API Testing with Python 3 & PyTest, Backend Automation 2022

API Testing with Python 3 & PyTest, Backend Automation 2022

Duration 13 hours 59 minutes 14 seconds
Create Telegram Bot with Python

Create Telegram Bot with Python

Duration 1 hour 22 minutes 55 seconds
AI Coding with Jupyter AI

AI Coding with Jupyter AI

Duration 46 minutes 33 seconds
HTMX + Flask: Modern Python Web Apps, Hold the JavaScript
Make a Location-Based Web App With Django and GeoDjango