28:07
WQU DS Module Introductory Video
WQU Data Science Module
24:46
Unit I: 1.1.1 Basic Programming and Variables
27:30
Unit I: 1.1.2 Functions
16:23
Unit I: 1.1.3 Logic & Conditional Expressions
35:24
Unit I: 1.1.4 Iteration & Conclusion
47:29
Unit I: 1.2.1 Data Structures (list)
9:59
Unit I: 1.2.2 Data Structures (tuple)
17:08
Unit I: 1.2.3 Data Structures (set)
36:06
Unit I: 1.2.4 Data Structures (dict)
17:48
Unit I: 1.2.5 Data Structures (collections module)
24:22
Unit I: 2.1.1 Algorithms and Complexity Analysis
24:58
Unit I: 2.1.2 Computational/Time Complexity
31:41
Unit I: 2.1.3 Recursion & Memoization
16:57
Unit I: 2.1.4 Memory Complexity & Data Structures
19:49
Unit I: 2.2.1 What is an Object?
29:27
Unit I: 2.2.2 Introduction to Classes
17:59
Unit I: 2.2.3 Defining Useful Classes
23:17
Unit I: 2.2.4 Object-Oriented Programming & Inheritance
23:03
Unit I: 2.3.1 VC Miniproject Intro & Hackerrank Coding Challenges
25:06
Unit I: 3.1.1 Pythonic Programming
30:49
Unit I: 3.1.2 Python Modules & Imports
22:11
Unit I: 3.1.3 Exceptions & Debugging
14:56
Unit I: 3.2.1 Basic Python IO
9:09
Unit I: 3.2.2 File System Operations in Python
17:28
Unit I: 3.2.3 CSV Files
15:37
Unit I: 3.2.4 JSON Files
13:20
Unit I: 3.2.5 Compression & GZip Files
14:20
Unit I: 3.2.6 Serialization & Pickle Files
23:55
Unit I: 3.3.1 PW Miniproject Intro
15:30
Unit I: 4.1.1 Intro to NumPy
14:01
Unit I: 4.1.2 Creating NumPy Arrays
16:00
Unit I: 4.1.3 Advantages of NumPy
27:39
Unit I: 4.1.4 Computation with NumPy
13:00
Unit I: 4.1.5 Mutating NumPy Arrays
26:08
Unit I: 4.1.6 Plotting with Matplotlib
18:58
Unit I: 4.1.7 Intro to Pandas
19:40
Unit I: 5.1.1 Pandas Overview
32:59
Unit I: 5.1.2 Pandas IO
10:57
Unit I: 5.1.3 Filtering DataFrames
26:35
Unit I: 5.1.4 Data Transformations
22:32
Unit I: 5.1.6 Joins & Multiple DataFrames
28:23
Unit I: 5.1.5 Data Aggregation
14:49
Unit I: 5.1.7 Time Series Data
13:38
Unit I: 5.2.1 Intro to Statistics
19:03
Unit I: 5.2.2 Estimating Means
18:14
Unit I: 5.2.3 Standard Error of the Mean
24:36
Unit I: 5.2.4 Hypothesis Testing & Z-Scores
10:31
Unit I: 5.2.5 Parameter Estimation & Confidence Intervals
10:27
Unit I: 5.3.1 DW Miniproject Intro
22:42
Unit I: 6.1.1 Data Munging & Web Scraping
22:31
Unit I: 6.1.2 Cleaning & Structing Data
22:17
Unit I: 6.1.3 Dealing with Multiple Data Sources
12:25
Unit I: 6.1.4 Data Munging in Pandas
