English | MP4 | AVC 1920×1080 | AAC 44KHz 2ch | 226 Lessons (20h 50m) | 4.21 GB
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.
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.
WHAT YOU’LL LEARN
- 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
Table of Contents
1 Learn Statistics with Diogo Resende
2 Course Outlin
3 Why Statistics Matter – The Challenger Space Shuttle Disaste
4 Creating a Google Accoun
5 Setting Up the Course Material
6 Game Plan for Python Essential
7 Print Functio
8 Python – Print Functio
9 Input Functio
10 Python – Input Functio
11 CHALLENGE – Your Superhero Nam
12 Variable Type
13 Python – Variable Type
14 Arithmetic Operator
15 Python – Arithmetic Operator
16 Comparison Operator
17 Python – Comparison Operator
18 CHALLENGE – Split Bill Calculato
19 The if-else Conditio
20 Python – if-else Condition
21 EXERCISE – Can You Vote
22 EXERCISE – Grading Paper
23 CHALLENGE – Berghain Club Bounce
24 CHALLENGE – Your Monthly Savings Pla
25 Wrap Up – Python Essential
26 Game Plan for Intermediate Python for Statistic
27 While Loo
28 Python – While Loop
29 EXERCISE – Countdown Time
30 Python List
31 Python – List
32 EXERCISE – Monthly Expense Repor
33 EXERCISE – Fibonacci Sequenc
34 Randomizatio
35 Python – Randomizatio
36 EXERCISE – Movie Picke
37 CHALLENGE – Read my Min
38 Dictionarie
39 Python – Dictionarie
40 EXERCISE – Magical Pet Sound
41 CHALLENGE – Budget Mastermin
42 For Loop
43 Python – For Loop
44 EXERCISE – Sum of Number
45 EXERCISE – Counting the Number of Character
46 CHALLENGE – Treasure Hunte
47 Function
48 Python – Function
49 EXERCISE – Function That Adds Number
50 EXERCISE – Function That Counts Vowel
51 EXERCISE – Function That Transforms Fahrenheit to Celsiu
52 CHALLENGE – Recipe Converte
53 Wrap Up – Python Intermediate Skill
54 Project Presentation – Virtual Escape Gam
55 Python – Plan the Solutio
56 Python – Check User’s Answer Functio
57 Python – Prepare Gam
58 Python – Solving with ChatGP
59 Game Plan for Descriptive Statistic
60 Variable Types in Statistic
61 Population vs. Sampl
62 CASE STUDY Briefing – Moneybal
63 Python – Setting U
64 Measures of Central Tendenc
65 (Arithmetic) Mea
66 Python – Mea
67 EXERCISE – Pytho
68 Media
69 Python – Media
70 EXERCISE – Media
71 Mod
72 Python – Mod
73 EXERCISE – Mod
74 Standard Deviation and Varianc
75 Python – Standard Deviation and Varianc
76 EXERCISE – Standard Deviation and Varianc
77 Coefficient of Variatio
78 Python – Coefficient of Variatio
79 EXERCISE – Coefficient of Variatio
80 Covarianc
81 Python – Covarianc
82 EXERCISE – Covarianc
83 Correlatio
84 Python – Correlatio
85 EXERCISE – Correlatio
86 Normal Distributio
87 Python – Normal Distributio
88 EXERCISE – Normal Distributio
89 CASE STUDY – Moneybal
90 Wrap Up – Descriptive Statistic
91 Game Plan for Confidence Interval
92 CASE STUDY Briefing – Dioguinis Pizza
93 Standard Error of the Sample Mea
94 Python – Libraries and Dat
95 Python – Standard Error of the Sample Mea
96 Z-Score and Standardizatio
97 Python – Z-Score and Standardizatio
98 Confidence Leve
99 Python – Confidence Leve
100 Confidence Intervals for Large Sample
101 Python – Confidence Interval for Large Sample
102 EXERCISE – Confidence Interval Function with ChatGP
103 CASE STUDY – Guinness Beer and t-distributio
104 Confidence Interval with Small Sample
105 Degrees of Freedo
106 Python – Confidence Interval with Small Sample
107 EXERCISE – Confidence Interval Function wit
108 Confidence Interval
109 Project Presentation – Lights, Camera, S
110 Python – Data Preparation and
111 Python – Exploratory Data
112 Python – Estimating Averag
113 Python – Co
114 Exercise Imposter
115 Game Plan for Hypothesi
116 What is Hypothesis
117 P-Value
118 Type I and Type
119 CASE STUDY – Publication Bias in S
120 How to Test Your Hypothesis (Known Population V
121 CASE STUDY Briefing – Tesla P
122 Python – Setting Up and
123 Python – How to Test Your Hypothesis (Known Population
124 Python – Build a Function to Test Your Known Variance H
125 Hypothesis Testing with Unknown Population
126 Python – How to Test Your Hypothesis (Unknown Population Variance)
127 Python – How to Test Your Hypothesis (Unknown Population Variance)
128 P-Value
129 Python – Paired T-Test – Part 1
130 Python – Paired T-Test – Part 2
131 Two Samp
132 Python – Leve
133 Python – Welch
134 Python – Two-Samp
135 Exercise – Two-Sample Test
136 One-Tailed Test vs. Two-Ta
137 Python – One-Tailed Test with Known
138 Python – One-Tailed Test with Unknown
139 Python – One-Tailed Pair
140 Python – One-Tailed Two-Samp
141 Chi-Sq
142 Python – Chi-Sq
143 Is Your Distribution Normal_ – The Shapiro-W
144 Python – Shapiro-W
145 Hypothesis Testin
146 Powerposing and
147 Python Solutio
148 Capstone Project with ChatGPT –
149 Python Solutions – Hyp
150 Python Solutions – Hyp
151 Python Solutions – Hyp
152 Game Plan for Multilinear R
153 CASE STUDY Briefing – Pricing
154 Linear R
155 Python – Libraries
156 Python – Exploratory Data
157 Python – Linear R
158 Regression S
159 Python – Linear Regressi
160 Python – Plotting Regress
161 Dummy Variab
162 Python – Linear Regression with Dummy
163 EXERCISE – Create Function that Reads the Regression Coefficients wit
164 CASE STUDY – Linearity Bias – We Will All Be Obese! W
165 Multilinear R
166 Python – Categorical
167 Python – Multilinear Regression Pr
168 Under and Ov
169 Training and
170 Python – Training and T
171 Python – Multilinear R
172 Assessing Regressi
173 Python – Assessing Regress
174 CASE STUDY – Dangers of Regression
175 Multilinear Regressio
176 Capstone Project – Understanding Sale
177 Python – Solutions
178 Python – Solutions –
179 Python – Solutions –
180 Game Plan for Logistic R
181 CASE STUDY Briefing – Sp
182 Logistic R
183 Python – Preparing Script and Loa
184 Python – Summary S
185 Python – Histograms and Outlier
186 Python – Correlati
187 Python – Logistic Regression Pr
188 How to Read Logistic Regression Coe
189 Python – Logistic R
190 Python – Build a Coefficient Function wit
191 Python – Pr
192 Confusion Matrix and Model A
193 Python – Confusion Matrix and Classificati
194 Python – Assessing Classification Models wit
195 Section Wrap Up – Logistic R
196 Capstone Project – Survivin
197 Python – Libraries and Data wit
198 Python – Removing Outliers and EDA wit
199 Python – Logistic Regression Model and Assessment wit
200 Game Plan for Cox Proportional Hazard R
201 Introduction to Survival
202 CASE STUDY –
203 Python – Libraries
204 Kaplan-Meier
205 Python – Kaplan Meier
206 Python – Calculating for a Speci
207 Python – Plotting Kaplan-Meier and Cumulat
208 Censoring
209 Log Rank Test
210 Python – Kaplan-Meier Estimator per Gender and Visu
211 Python – Log
212 Cox Proportional Hazard R
213 Python – Prepare Data for
214 Python – Cox Proportional Hazard R
215 Python – Visualiz
216 Assessing Cox Proportional Haza
217 Python – Assessing the
218 Python – Predicting Specific
219 Cox Proportional Hazard Regressio
220 Capstone Project – Will Your App
221 Python – Libraries
222 Python – Data
223 Python – Dependent
224 Python – Kaplan-Meier
225 Python – Cox Model
226 Thank You
Resolve the captcha to access the links!