Statistics Bootcamp (with Python): Zero to Mastery

Name: Statistics Bootcamp (with Python): Zero to Mastery
Price: 9 USD
Availability: InStock

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.

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#	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