GigaCourse com Udemy - The Business Intelligence Analyst Course 2020

1. 1. Part 1 Introduction/1. What Does the Course Cover.mp455.09MB
2. 10. Statistics - Descriptive Statistics/1. Types of Data.mp472.48MB
3. 10. Statistics - Descriptive Statistics/11. The Histogram.mp413.8MB
4. 10. Statistics - Descriptive Statistics/14. Cross Table and Scatter Plot.mp439.8MB
5. 10. Statistics - Descriptive Statistics/17. Mean, median and mode.mp437.11MB
6. 10. Statistics - Descriptive Statistics/19. Skewness.mp419.44MB
7. 10. Statistics - Descriptive Statistics/22. Variance.mp450.95MB
8. 10. Statistics - Descriptive Statistics/24. Standard Deviation and Coefficient of Variation.mp445.16MB
9. 10. Statistics - Descriptive Statistics/27. Covariance.mp427.52MB
10. 10. Statistics - Descriptive Statistics/3. Levels of Measurement.mp454.35MB
11. 10. Statistics - Descriptive Statistics/30. Correlation Coefficient.mp429.38MB
12. 10. Statistics - Descriptive Statistics/5. Categorical Variables - Visualization Techniques.mp436.63MB
13. 10. Statistics - Descriptive Statistics/8. Numerical Variables - Frequency Distribution Table.mp425.83MB
14. 11. Statistics - Practical Example Descriptive Statistics/1. Practical Example.mp4160.46MB
15. 12. Statistics - Inferential Statistics Fundamentals/1. Introduction.mp415.49MB
16. 12. Statistics - Inferential Statistics Fundamentals/11. Standard error.mp422.75MB
17. 12. Statistics - Inferential Statistics Fundamentals/13. Estimators and Estimates.mp447.86MB
18. 12. Statistics - Inferential Statistics Fundamentals/2. What is a Distribution.mp461.65MB
19. 12. Statistics - Inferential Statistics Fundamentals/4. The Normal Distribution.mp449.9MB
20. 12. Statistics - Inferential Statistics Fundamentals/6. The Standard Normal Distribution.mp422.51MB
21. 12. Statistics - Inferential Statistics Fundamentals/9. Central Limit Theorem.mp462.9MB
22. 13. Statistics - Inferential Statistics Confidence Intervals/1. What are Confidence Intervals.mp449.95MB
23. 13. Statistics - Inferential Statistics Confidence Intervals/10. Margin of Error.mp447.19MB
24. 13. Statistics - Inferential Statistics Confidence Intervals/12. Confidence intervals. Two means. Dependent samples.mp470.44MB
25. 13. Statistics - Inferential Statistics Confidence Intervals/14. Confidence intervals. Two means. Independent samples (Part 1).mp428.76MB
26. 13. Statistics - Inferential Statistics Confidence Intervals/16. Confidence intervals. Two means. Independent samples (Part 2).mp426.84MB
27. 13. Statistics - Inferential Statistics Confidence Intervals/18. Confidence intervals. Two means. Independent samples (Part 3).mp419.92MB
28. 13. Statistics - Inferential Statistics Confidence Intervals/3. Confidence Intervals; Population Variance Known; z-score.mp478.18MB
29. 13. Statistics - Inferential Statistics Confidence Intervals/5. Confidence interval clarifications.mp457.03MB
30. 13. Statistics - Inferential Statistics Confidence Intervals/6. Student's T Distribution.mp435.38MB
31. 13. Statistics - Inferential Statistics Confidence Intervals/8. Confidence Intervals; Population Variance Unknown; t-score.mp432.19MB
32. 14. Statistics - Practical Example Inferential Statistics/1. Practical Example Inferential Statistics.mp4102.63MB
33. 15. Statistics - Hypothesis Testing/1. The Null vs Alternative Hypothesis.mp492.07MB
34. 15. Statistics - Hypothesis Testing/10. p-value.mp455.92MB
35. 15. Statistics - Hypothesis Testing/12. Test for the Mean. Population Variance Unknown.mp440.19MB
36. 15. Statistics - Hypothesis Testing/14. Test for the Mean. Dependent Samples.mp450.41MB
37. 15. Statistics - Hypothesis Testing/16. Test for the mean. Independent samples (Part 1).mp429.96MB
38. 15. Statistics - Hypothesis Testing/18. Test for the mean. Independent samples (Part 2).mp436.36MB
39. 15. Statistics - Hypothesis Testing/4. Rejection Region and Significance Level.mp482.52MB
40. 15. Statistics - Hypothesis Testing/6. Type I Error and Type II Error.mp443.95MB
41. 15. Statistics - Hypothesis Testing/8. Test for the Mean. Population Variance Known.mp454.26MB
42. 16. Statistics - Practical Example Hypothesis Testing/1. Practical Example Hypothesis Testing.mp469.38MB
43. 17. Part 3 Relational Database Theory & Introduction to SQL/1. Why use SQL.mp470.07MB
44. 17. Part 3 Relational Database Theory & Introduction to SQL/11. Important Database Terminology.mp490.5MB
45. 17. Part 3 Relational Database Theory & Introduction to SQL/13. The Concept of Relational Schemas Primary Key.mp442.91MB
46. 17. Part 3 Relational Database Theory & Introduction to SQL/15. The Concept of Relational Schemas Foreign Key.mp443.96MB
47. 17. Part 3 Relational Database Theory & Introduction to SQL/17. The Concept of Relational Schemas Unique Key and Null Values.mp424.52MB
48. 17. Part 3 Relational Database Theory & Introduction to SQL/19. The Concept of Relational Schemas Relationships Between Tables.mp441.68MB
49. 17. Part 3 Relational Database Theory & Introduction to SQL/3. Why use MySQL.mp429.3MB
50. 17. Part 3 Relational Database Theory & Introduction to SQL/5. Introducing Databases.mp4102.86MB
51. 17. Part 3 Relational Database Theory & Introduction to SQL/7. Relational Database Fundamentals.mp4107.69MB
52. 17. Part 3 Relational Database Theory & Introduction to SQL/9. Comparing Databases and Spreadsheets.mp4156.76MB
53. 18. SQL - Install and get to know MySQL/1. Installing MySQL Workbench and Server.mp499.1MB
54. 18. SQL - Install and get to know MySQL/5. Linking GUI with the MySQL Server.mp419.23MB
55. 18. SQL - Install and get to know MySQL/7. Creating a New User and a New Connection to it.mp447.71MB
56. 18. SQL - Install and get to know MySQL/8. Familiarize Yourself with the MySQL Interface.mp440.26MB
57. 19. SQL - Best SQL Practices/1. Coding Tips and Best Practices - I.mp437.82MB
58. 19. SQL - Best SQL Practices/3. Coding Tips and Best Practices - II.mp429.68MB
59. 2. Intro to Data and Data Science - The Different Data Science Fields/1. Why Are There So Many Business and Data Science Buzzwords.mp481.39MB
60. 2. Intro to Data and Data Science - The Different Data Science Fields/2. Analysis vs Analytics.mp453.49MB
61. 2. Intro to Data and Data Science - The Different Data Science Fields/3. Intro to Business Analytics, Data Analytics, and Data Science.mp464.47MB
62. 2. Intro to Data and Data Science - The Different Data Science Fields/5. Adding Business Intelligence (BI), Machine Learning (ML), and AI to the Picture.mp4108.96MB
63. 2. Intro to Data and Data Science - The Different Data Science Fields/7. An Overview of our Data Science Infographic.mp467.82MB
64. 20. SQL - Loading the 'employees' Database/1. Loading the 'employees' Database.mp418.99MB
65. 21. SQL - Practical Application of the SQL SELECT Statement/1. Using SELECT - FROM.mp435.93MB
66. 21. SQL - Practical Application of the SQL SELECT Statement/10. Using OR.mp433.21MB
67. 21. SQL - Practical Application of the SQL SELECT Statement/13. Operator Precedence and Logical Order.mp432.07MB
68. 21. SQL - Practical Application of the SQL SELECT Statement/16. Using IN - NOT IN.mp432.13MB
69. 21. SQL - Practical Application of the SQL SELECT Statement/21. Using LIKE - NOT LIKE.mp436.09MB
70. 21. SQL - Practical Application of the SQL SELECT Statement/24. Using Wildcard Characters.mp49.87MB
71. 21. SQL - Practical Application of the SQL SELECT Statement/27. Using BETWEEN - AND.mp416.47MB
72. 21. SQL - Practical Application of the SQL SELECT Statement/30. Using IS NOT NULL - IS NULL.mp413.95MB
73. 21. SQL - Practical Application of the SQL SELECT Statement/33. Using Other Comparison Operators.mp441.21MB
74. 21. SQL - Practical Application of the SQL SELECT Statement/36. Using SELECT DISTINCT.mp415.63MB
75. 21. SQL - Practical Application of the SQL SELECT Statement/39. Getting to Know Aggregate Functions.mp443.61MB
76. 21. SQL - Practical Application of the SQL SELECT Statement/4. Using WHERE.mp421.98MB
77. 21. SQL - Practical Application of the SQL SELECT Statement/42. Using ORDER BY.mp441.28MB
78. 21. SQL - Practical Application of the SQL SELECT Statement/45. Using GROUP BY.mp453.55MB
79. 21. SQL - Practical Application of the SQL SELECT Statement/46. Using Aliases (AS).mp421.28MB
80. 21. SQL - Practical Application of the SQL SELECT Statement/49. Using HAVING.mp433.03MB
81. 21. SQL - Practical Application of the SQL SELECT Statement/52. Using WHERE vs HAVING - Part I.mp434.88MB
82. 21. SQL - Practical Application of the SQL SELECT Statement/53. Using WHERE vs HAVING - Part II.mp424.82MB
83. 21. SQL - Practical Application of the SQL SELECT Statement/56. Using LIMIT.mp447.25MB
84. 21. SQL - Practical Application of the SQL SELECT Statement/7. Using AND.mp416.73MB
85. 22. SQL - Expanding on MySQL Aggregate Functions/1. Applying COUNT().mp427.37MB
86. 22. SQL - Expanding on MySQL Aggregate Functions/10. Applying AVG().mp413.52MB
87. 22. SQL - Expanding on MySQL Aggregate Functions/13. Rounding Numbers with ROUND().mp416.8MB
88. 22. SQL - Expanding on MySQL Aggregate Functions/4. Applying SUM().mp410.51MB
89. 22. SQL - Expanding on MySQL Aggregate Functions/7. MIN() and MAX().mp410.28MB
90. 23. SQL - SQL JOINs/1. What are JOINs.mp442.19MB
91. 23. SQL - SQL JOINs/10. The Functionality of LEFT JOIN - Part I.mp450.81MB
92. 23. SQL - SQL JOINs/11. The Functionality of LEFT JOIN - Part II.mp454.87MB
93. 23. SQL - SQL JOINs/14. The Functionality of RIGHT JOIN.mp432.22MB
94. 23. SQL - SQL JOINs/15. Differences between the New and the Old Join Syntax.mp432.01MB
95. 23. SQL - SQL JOINs/18. Using JOIN and WHERE Together.mp425.18MB
96. 23. SQL - SQL JOINs/22. The Functionality of CROSS JOIN.mp489.86MB
97. 23. SQL - SQL JOINs/27. Combining Aggregate Functions with Joins.mp422.15MB
98. 23. SQL - SQL JOINs/28. JOIN More than Two Tables.mp441.43MB
99. 23. SQL - SQL JOINs/31. Top Tips for Joins.mp450.9MB
100. 23. SQL - SQL JOINs/34. The Differences Between UNION and UNION ALL.mp447.68MB
101. 23. SQL - SQL JOINs/4. The Functionality of INNER JOIN - Part I.mp442.29MB
102. 23. SQL - SQL JOINs/5. The Functionality of INNER JOIN - Part II.mp467.08MB
103. 23. SQL - SQL JOINs/8. Extra Info on Using Joins.mp443.88MB
104. 23. SQL - SQL JOINs/9. Duplicate Rows.mp446.52MB
105. 24. SQL - SQL Subqueries/1. SQL Subqueries with IN Embedded Inside WHERE.mp437.44MB
106. 24. SQL - SQL Subqueries/4. SQL Subqueries with EXISTS-NOT EXISTS Embedded Inside WHERE.mp429.77MB
107. 24. SQL - SQL Subqueries/7. SQL Subqueries Nested in SELECT and FROM.mp471.65MB
108. 25. SQL - Stored Routines/1. Defining Stored Routines.mp429.93MB
109. 25. SQL - Stored Routines/10. Create Stored Procedures with an Output Parameter.mp432.5MB
110. 25. SQL - Stored Routines/13. SQL Variables.mp454.56MB
111. 25. SQL - Stored Routines/16. The Benefit of User-Defined Functions in MySQL.mp448.75MB
112. 25. SQL - Stored Routines/20. Concluding Stored Routines.mp427.14MB
113. 25. SQL - Stored Routines/3. Create Stored Procedures with MySQL Syntax.mp434.24MB
114. 25. SQL - Stored Routines/4. An Example of Stored Procedures Part I.mp423.96MB
115. 25. SQL - Stored Routines/5. An Example of Stored Procedures Part II.mp442.14MB
116. 25. SQL - Stored Routines/8. Creating a Procedure in MySQL Another Way.mp432.43MB
117. 25. SQL - Stored Routines/9. Create Stored Procedures with an Input Parameter.mp464.5MB
118. 26. SQL - The CASE Statement/1. The SQL CASE Statement.mp459.42MB
119. 27. Part 4 Introduction to Tableau/1. Why Use Tableau Make Your Data Make an Impact.mp439.21MB
120. 27. Part 4 Introduction to Tableau/2. Let's Download Tableau Public.mp428.38MB
121. 27. Part 4 Introduction to Tableau/3. Connecting Data in Tableau.mp414.27MB
122. 27. Part 4 Introduction to Tableau/4. Exploring Tableau's Interface.mp452.12MB
123. 27. Part 4 Introduction to Tableau/5. Let's Create our first Chart in Tableau!.mp458.97MB
124. 28. Tableau - Tableau functionalities/1. Duplicating a Sheet.mp425.32MB
125. 28. Tableau - Tableau functionalities/2. Creating a Table.mp426.2MB
126. 28. Tableau - Tableau functionalities/3. Creating Custom Fields.mp417.22MB
127. 28. Tableau - Tableau functionalities/4. Creating a Custom Field and Adding Calculations to a Table.mp429.7MB
128. 28. Tableau - Tableau functionalities/5. Adding Totals and Subtotals.mp420.89MB
129. 28. Tableau - Tableau functionalities/6. Adding a Custom Calculation.mp436.48MB
130. 28. Tableau - Tableau functionalities/7. Inserting a Filter.mp427.62MB
131. 28. Tableau - Tableau functionalities/8. Working with Joins in Tableau.mp445.12MB
132. 29. Tableau - The Tableau Exercise/1. Introduction to the Exercise.mp428.47MB
133. 29. Tableau - The Tableau Exercise/10. Creating and Formatting a Dashboard.mp431.82MB
134. 29. Tableau - The Tableau Exercise/11. Adding Interactive Filters for Improved Analysis.mp431.64MB
135. 29. Tableau - The Tableau Exercise/12. Interactive Filters - fix.mp412.48MB
136. 29. Tableau - The Tableau Exercise/2. Let's Create a Dashboard - Visualizing the Three Charts We Want to Create.mp423.46MB
137. 29. Tableau - The Tableau Exercise/3. Using Joins in Tableau.mp442.18MB
138. 29. Tableau - The Tableau Exercise/4. Performing a Numbers Check - Attempt #1.mp425.05MB
139. 29. Tableau - The Tableau Exercise/5. Blending Data in Tableau.mp432.32MB
140. 29. Tableau - The Tableau Exercise/6. Performing a Numbers Check - Attempt #2.mp420.47MB
141. 29. Tableau - The Tableau Exercise/7. First Chart.mp427.24MB
142. 29. Tableau - The Tableau Exercise/8. Second Chart.mp417.08MB
143. 29. Tableau - The Tableau Exercise/9. Third Chart.mp415.25MB
144. 3. Intro to Data and Data Science - The Relationship between Different Fields/1. When are Traditional data, Big Data, BI, Traditional Data Science and ML applied.mp4126.74MB
145. 30. Part 5 Combining SQL and Tableau - Introduction/1. Introduction to Software Integration.mp492.71MB
146. 30. Part 5 Combining SQL and Tableau - Introduction/2. Combining SQL and Tableau.mp483.9MB
147. 30. Part 5 Combining SQL and Tableau - Introduction/3. Loading the Database.mp428.87MB
148. 31. Combining SQL and Tableau - Problem 1/1. Problem 1 Task.mp433.81MB
149. 31. Combining SQL and Tableau - Problem 1/4. Problem 1 Solution in SQL.mp443.18MB
150. 31. Combining SQL and Tableau - Problem 1/6. Exporting Your Output from SQL and Loading it in Tableau.mp431.55MB
151. 31. Combining SQL and Tableau - Problem 1/7. Chart 1 Visualizing the Solution in Tableau - Part I.mp441.14MB
152. 31. Combining SQL and Tableau - Problem 1/8. Chart 1 Visualizing the Solution in Tableau - Part II.mp445.58MB
153. 32. Combining SQL and Tableau - Problem 2/1. Problem 2 Task.mp429.02MB
154. 32. Combining SQL and Tableau - Problem 2/3. Problem 2 Solution in SQL.mp439.65MB
155. 32. Combining SQL and Tableau - Problem 2/5. Chart 2 Visualizing the Solution in Tableau.mp449.35MB
156. 33. Combining SQL and Tableau - Problem 3/1. Problem 3 Task.mp413.31MB
157. 33. Combining SQL and Tableau - Problem 3/3. Problem 3 Solution in SQL.mp433.27MB
158. 33. Combining SQL and Tableau - Problem 3/5. Chart 3 Visualizing the Solution in Tableau.mp440.5MB
159. 34. Combining SQL and Tableau - Problem 4/1. Problem 4 Task.mp423.75MB
160. 34. Combining SQL and Tableau - Problem 4/3. Problem 4 Solution in SQL.mp430.34MB
161. 34. Combining SQL and Tableau - Problem 4/5. Chart 4 Visualizing the Solution in Tableau.mp422.72MB
162. 35. Combining SQL and Tableau - Problem 5/1. Problem 5 Organizing Charts 1-4 into a Beautiful Dashboard.mp456.2MB
163. 36. Part 6 Introduction to Programming with Python/1. A 5-minute explanation of Programming.mp458.52MB
164. 36. Part 6 Introduction to Programming with Python/11. Python 2 vs Python 3.mp411.28MB
165. 36. Part 6 Introduction to Programming with Python/3. Why use Python.mp475.08MB
166. 36. Part 6 Introduction to Programming with Python/5. Why use Jupyter.mp444.3MB
167. 36. Part 6 Introduction to Programming with Python/7. How to Install Python and Jupyter.mp451.01MB
168. 36. Part 6 Introduction to Programming with Python/8. Understanding Jupyter’s Interface – Dashboard.mp413.8MB
169. 36. Part 6 Introduction to Programming with Python/9. Understanding Jupyter’s Interface – Prerequisites for Coding.mp430.6MB
170. 37. Python - Python Variables and Data Types/1. Python Variables.mp425.29MB
171. 37. Python - Python Variables and Data Types/3. Understanding Numbers and Boolean Values.mp417.06MB
172. 37. Python - Python Variables and Data Types/5. Strings.mp450.64MB
173. 38. Python - Python Syntax Fundamentals/1. The Arithmetic Operators of Python.mp418.92MB
174. 38. Python - Python Syntax Fundamentals/10. How to Index Elements.mp45.94MB
175. 38. Python - Python Syntax Fundamentals/12. How to Structure Your Code with Indentation.mp413.15MB
176. 38. Python - Python Syntax Fundamentals/3. What is the Double Equality Sign.mp45.99MB
177. 38. Python - Python Syntax Fundamentals/5. How to Reassign Values.mp44.01MB
178. 38. Python - Python Syntax Fundamentals/7. How to Add Comments.mp411.27MB
179. 38. Python - Python Syntax Fundamentals/9. Understanding Line Continuation.mp42.36MB
180. 39. Python - Other Python Operators/1. Python's Comparison Operators.mp410.18MB
181. 39. Python - Other Python Operators/3. Python's Logical and Identity Operators.mp430.07MB
182. 4. Intro to Data and Data Science - What is the Purpose of each Data Science Field/1. Why do we Need each of these Disciplines.mp487.44MB
183. 40. Python - Conditional Statements/1. Getting to know the IF Statement.mp423.24MB
184. 40. Python - Conditional Statements/3. Adding an ELSE statement.mp423.27MB
185. 40. Python - Conditional Statements/4. Else if, for Brief – ELIF.mp453.36MB
186. 40. Python - Conditional Statements/5. An Additional Explanation of Boolean Values.mp420MB
187. 41. Python - Functions/1. How to Define a Function in Python.mp414.75MB
188. 41. Python - Functions/2. How to Create a Function with a Parameter.mp438.09MB
189. 41. Python - Functions/3. Define a Function in Another Way.mp425.24MB
190. 41. Python - Functions/4. How to use a Function within a Function.mp48.13MB
191. 41. Python - Functions/5. Use Conditional Statements and Functions Together.mp415.69MB
192. 41. Python - Functions/6. How to Create Functions Which Contain a Few Arguments.mp414.72MB
193. 41. Python - Functions/7. Built-In Functions in Python Worth Knowing.mp422.01MB
194. 42. Python - Python Sequences/1. Introduction to Lists.mp437.79MB
195. 42. Python - Python Sequences/3. Using Methods in Python.mp437.62MB
196. 42. Python - Python Sequences/5. What is List Slicing.mp430.78MB
197. 42. Python - Python Sequences/6. Working with Tuples.mp429.48MB
198. 42. Python - Python Sequences/7. Python Dictionaries.mp441.69MB
199. 43. Python - Using Iterations/1. Using For Loops.mp423.59MB
200. 43. Python - Using Iterations/3. Using While Loops and Incrementing.mp428.43MB
201. 43. Python - Using Iterations/4. Use the range() Function to Create Lists.mp425.79MB
202. 43. Python - Using Iterations/6. Combine Conditional Statements and Loops.mp427.78MB
203. 43. Python - Using Iterations/7. All In – Conditional Statements, Functions, and Loops.mp49.5MB
204. 43. Python - Using Iterations/8. How to Iterate over Dictionaries.mp429.64MB
205. 44. Python - Advanced Python tools/1. Introduction to Object Oriented Programming (OOP).mp433.59MB
206. 44. Python - Advanced Python tools/3. Using Modules and Packages.mp48.5MB
207. 44. Python - Advanced Python tools/5. What is the Standard Library.mp418.03MB
208. 44. Python - Advanced Python tools/7. How to Import Modules in Python.mp419.93MB
209. 45. Part 7 Integration - Software Integration/1. Getting Started with Data, Servers, Clients, Requests, and Responses.mp469.07MB
210. 45. Part 7 Integration - Software Integration/3. Getting Started with Data Connectivity, APIs, and Endpoints.mp4104.15MB
211. 45. Part 7 Integration - Software Integration/5. Become Better Acquainted with APIs.mp4115.62MB
212. 45. Part 7 Integration - Software Integration/7. Communication through Text Files.mp460.33MB
213. 45. Part 7 Integration - Software Integration/9. What is Software Integration and How is it Applied.mp463.72MB
214. 46. Integration - What is contained in this Course/1. Solving a Business Exercise with Python, SQL, and Tableau.mp452.3MB
215. 46. Integration - What is contained in this Course/2. Presenting the Task Absenteeism at Work.mp439.06MB
216. 46. Integration - What is contained in this Course/3. Presenting the Data Set.mp440.88MB
217. 47. Integration - Data Preprocessing Step by Step/10. A Deeper Look at the 'Reasons for Absence' Column.mp440.57MB
218. 47. Integration - Data Preprocessing Step by Step/11. Splitting a Variable into Multiple Dummy Variables.mp481.13MB
219. 47. Integration - Data Preprocessing Step by Step/15. A Statistical Perspective on Dummy Variables.mp413.76MB
220. 47. Integration - Data Preprocessing Step by Step/16. Categorizing the Various Reasons for Absence.mp474.55MB
221. 47. Integration - Data Preprocessing Step by Step/17. Concatenation in Python.mp438.75MB
222. 47. Integration - Data Preprocessing Step by Step/2. How to Import the Data Set in Python.mp423.08MB
223. 47. Integration - Data Preprocessing Step by Step/20. How to Reorder Columns in a DataFrame in Python.mp414.05MB
224. 47. Integration - Data Preprocessing Step by Step/23. Using Checkpoints to Ease Your Work in Jupyter.mp425.71MB
225. 47. Integration - Data Preprocessing Step by Step/26. Analyzing the Date Column.mp457.27MB
226. 47. Integration - Data Preprocessing Step by Step/27. Retrieving the Month Value From the Date Column.mp447.79MB
227. 47. Integration - Data Preprocessing Step by Step/28. Adding the Day of the Week Column.mp427.98MB
228. 47. Integration - Data Preprocessing Step by Step/3. Exploring the Data Set.mp461.83MB
229. 47. Integration - Data Preprocessing Step by Step/30. Analysis of the Next 5 Columns in DF.mp429.55MB
230. 47. Integration - Data Preprocessing Step by Step/31. Dealing with More Numerical Features which may Behave like Categorical Ones.mp439.61MB
231. 47. Integration - Data Preprocessing Step by Step/32. A Final Note on this Section.mp421.62MB
232. 47. Integration - Data Preprocessing Step by Step/4. Programming vs the Rest of the World.mp427.82MB
233. 47. Integration - Data Preprocessing Step by Step/6. The Approach we will Take to Solve this Exercise.mp420.17MB
234. 47. Integration - Data Preprocessing Step by Step/7. Dropping Variables We Don't Need.mp461.69MB
235. 48. Integration - Integrating Python and SQL/1. How to Use the 'absenteeism_module' in Python - Part I.mp425.44MB
236. 48. Integration - Integrating Python and SQL/10. Sending Data from Jupyter to Workbench - Part II.mp458.22MB
237. 48. Integration - Integrating Python and SQL/11. Sending Data from Jupyter to Workbench - Part III.mp432.83MB
238. 48. Integration - Integrating Python and SQL/2. How to Use the 'absenteeism_module' in Python - Part II.mp454.34MB
239. 48. Integration - Integrating Python and SQL/3. Creating the 'predicted_outputs' Database in MySQL.mp458.91MB
240. 48. Integration - Integrating Python and SQL/4. Importing 'pymysql' in Python.mp419.05MB
241. 48. Integration - Integrating Python and SQL/5. Creating a Connection and Cursor.mp420.98MB
242. 48. Integration - Integrating Python and SQL/7. Creating the 'predicted_outputs' Table in MySQL.mp452.45MB
243. 48. Integration - Integrating Python and SQL/8. Executing and SQL SELECT Statement from Python.mp425.36MB
244. 48. Integration - Integrating Python and SQL/9. Sending Data from Jupyter to Workbench - Part I.mp476.28MB
245. 49. Integration - Using Tableau to Analyze the Predicted Outputs/2. Using Tableau to Analyze Age vs Probability.mp456.5MB
246. 49. Integration - Using Tableau to Analyze the Predicted Outputs/4. Using Tableau to Analyze Reasons vs Probability.mp459.29MB
247. 49. Integration - Using Tableau to Analyze the Predicted Outputs/6. Using Tableau to Analyze Transportation Expense vs Probability.mp440.62MB
248. 5. Intro to Data and Data Science - Common Data Science Techniques/1. Traditional Data Techniques.mp4138.39MB
249. 5. Intro to Data and Data Science - Common Data Science Techniques/10. Traditional Methods Techniques.mp4111.63MB
250. 5. Intro to Data and Data Science - Common Data Science Techniques/12. Traditional Methods Real-life Examples.mp442.84MB
251. 5. Intro to Data and Data Science - Common Data Science Techniques/13. Machine Learning (ML) Techniques.mp499.27MB
252. 5. Intro to Data and Data Science - Common Data Science Techniques/15. Machine Learning (ML) Types of Machine Learning.mp4125.04MB
253. 5. Intro to Data and Data Science - Common Data Science Techniques/17. Machine Learning (ML) Real-life Examples.mp436.85MB
254. 5. Intro to Data and Data Science - Common Data Science Techniques/3. Traditional Data Real-life Examples.mp429.95MB
255. 5. Intro to Data and Data Science - Common Data Science Techniques/4. Big Data Techniques.mp475.46MB
256. 5. Intro to Data and Data Science - Common Data Science Techniques/6. Big Data Real-life Examples.mp422.06MB
257. 5. Intro to Data and Data Science - Common Data Science Techniques/7. Business Intelligence (BI) Techniques.mp489.84MB
258. 5. Intro to Data and Data Science - Common Data Science Techniques/9. Business Intelligence (BI) Real-life Examples.mp429.51MB
259. 6. Intro to Data and Data Science - Common Data Science Tools/1. Programming Languages & Software Employed in Data Science - All the Tools Needed.mp4103.38MB
260. 7. Intro to Data and Data Science - Data Science Career Paths/1. Data Science Job Positions What do they Involve and What to Look out for.mp454.34MB
261. 8. Intro to Data and Data Science - Dispelling Common Misconceptions/1. Dispelling common Misconceptions.mp472.71MB
262. 9. Part 2 Statistics - Population and Sample/1. Population vs sample.mp458.08MB