16.1.1 Data Concepts11:19
26.1.2 Types of data10:49
36.1.3 Data sources9:23
46.1.4 Data Collection Methods9:52
56.1.5 Data Storage and Management12:34
66.1.6 Data Processing and Analysis14:25
76.1.7 Data Visualization10:59
86.2.1 Intro + Rational Data26:07
96.2.2 Irrational Data25:20
106.2.3 Integrating rational and Irrational data7:52
116.2.4 Conclusion7:07
126.3.1 Introduction13:33
136.3.2 Types of data7:18
146.3.3 Descriptive Statistics9:23
156.3.4 Exploratory Data Analysis (EDA)6:32
166.3.5 Hypothesis Testing6:37
176.3.6 Regression Analysis6:52
186.3.7 Cluster Analysis8:04
196.3.8 Data Visualization6:11
206.3.9 Conclusion5:20
216.4.1 Introduction12:18
226.4.2 Types of Database Structures10:12
236.4.3 Relational Database Structure7:16
246.4.4 Primary and Foreign Keys5:53
256.4.5 Indexing in Databases5:32
266.4.6 Database Normalization4:57
276.4.7 Data Integrity and Constraints6:50
286.4.8 Data Manipulation Language5:42
296.4.9 Database Security and Access Control8:22
306.4.10 Conclusion4:42
316.5.1 Introduction9:11
326.5.2 Common Challengaes in Real-world Data13:39
336.5.3 Data Integration and transformation10:29
346.6.1. SQL Basics 121:37
356.6.1. SQL Basics 26:59
366.6.2. SQL Queries (Part 1)37:05
376.6.3. SQL Queries (Part 2)16:24
386.6.4. SQL Queries (Part 3)16:13
396.6.5. MySQL Workbench (Part1)33:43
406.6.6. MySQL (Part 2)9:39
416.6.7. ERD (Practice)11:56
426.6.8. CREATE & INSERT35:19
436.6.9. SELECT4:50
446.6.10. WHERE & LOGICAL OPERATORS12:08
456.6.11. UPDATE & DELETE17:42
466.6.12. DISTINCT, DROP & ALTER9:05
476.6.13. Math, Group, Order & As24:13
486.6.14. UNION & JOIN12:51
496.6.15. SQL Exercise46:08
506.7. JSON26:48
516.7.8 Data Privacy and Ethics9:59
526.7.9 Data Quality and Cleaning11:32
536.7.10 Data-driven Decision Making12:26
546.7.11 Conclusion12:56
556.8. XM Format (No Code)5:22
566.9. MongoDB Intro9:26
