Statistics Bootcamp (with Python): Zero to Mastery

20h 50m 51s
English
Paid

Course description

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.

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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.

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#1: Learn Statistics with Diogo Resende

All Course Lessons (226)

#Lesson TitleDurationAccess
1
Learn Statistics with Diogo Resende Demo
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

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