CBTNugget - Python For Data Analysts

3.51 GB | 00:16:06 | mp4 | 1912X1088 | 16:9
Genre:eLearning |Language:English

Files Included :
01 Python Development Environments (47.29 MB)
02 Code Editors and IDEs vs Interactive Notebooks (82.54 MB)
03 Installing Google Colab (132.34 MB)
04 Installing Jupyter notebook with Anaconda (75.37 MB)
05 Managing Projects Environments with Conda (49.58 MB)
06 Running Anaconda with Docker (64.23 MB)
07 Introduction to Python Data Types (65.15 MB)
08 Data Types (80.47 MB)
09 Numbers and Bools (40.68 MB)
10 Strings and Keywords (47.96 MB)
11 Collections (71.33 MB)
12 Code Challenge (87.42 MB)
13 Introduction to Python Numbers (59.72 MB)
14 Variables (92.8 MB)
15 Math Operators (104.2 MB)
16 Math with Python (107.16 MB)
17 Boolean Values (65.35 MB)
18 Code Challenge (59.95 MB)
19 Introduction to Strings (41.88 MB)
20 Working with Strings (41.88 MB)
21 Indexing and Slicing Strings (103.54 MB)
22 String Methods (112.59 MB)
23 Strings Code Challenge (69.61 MB)
24 Introduction to Python Functions (34.82 MB)
25 Python Operators (121.54 MB)
26 Functions and If Statements (126.88 MB)
27 Python Scope (104.37 MB)
28 Functions Code Challenge (83.19 MB)
28 Pseudocode (89.5 MB)
30 Introduction to Python Loops (64.01 MB)
31 If, elif, and else (99.35 MB)
32 For Loops (102.48 MB)
33 While Loops (112.76 MB)
34 Code Challenge (171.53 MB)
35 Introduction to Python Collections (43.14 MB)
36 Lists (148.48 MB)
37 List Methods (163.13 MB)
38 Dictionaries (76.9 MB)
39 Dictionary Methods (94.24 MB)
40 Code Challenge (101.32 MB)
41 Data Analysis Preview with pandas (158.45 MB)]
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