PyForward Data Analysis with Python
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2:59:27
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1. Welcome to the Course.mp4
00:35
2. About Your Instructor.mp4
00:33
3. Outline and Objectives.html
4. Helpful Hints.mp4
03:32
5. Python Resources & Documents.html
1. A Brief History.mp4
12:17
2. Number Systems.mp4
06:14
3. Bits and Bytes.mp4
13:37
4. Data Analysis Best Practices.mp4
04:47
5. Data in the Enterprise + Agile.mp4
05:38
6. Process Improvement.mp4
23:08
7. Thinking Like a Programmer.mp4
09:47
8. AI, ML, and DS.mp4
03:25
1. What is Python.mp4
04:53
2. Why Start with Python.mp4
03:53
3. Downloading Anaconda.mp4
03:13
4.1 Input Output Worksheets.zip
4. Hello, world! - Anaconda Walkthrough.mp4
06:23
5. RunSheet Hello, World!.html
6. RunSheet Print(2+2).html
7.1 Python Basics Worksheet.zip
7. Variables, Logic, and Data Types.mp4
04:15
8. Data StructuresCollections.mp4
03:14
9.1 Pandas Library Worksheet.zip
9. Pandas Library.mp4
08:33
10.1 Numpy Library Worksheet.zip
10. NumPy Library.mp4
05:54
11.1 Lambda Worksheet.zip
11. The Lambda Function.mp4
04:32
12. Loops.mp4
01:42
1. Advanced Analytics.mp4
15:07
2. Create Your Own Python Cheat Sheet.mp4
01:21
3.1 Data Analyis Worksheet.zip
3. Data Analysis with Python.mp4
10:50
4. Landing a Job.mp4
13:12
1. Next Steps.mp4
08:52
2.1 PyForward Books.pdf
2.2 Python Web Resources.pdf
2.3 YouTube Channels.pdf
2. Resources.html
3. REDACTED Resources 2.html
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- language english
- Training sessions 26
- duration 2:59:27
- Release Date 2024/02/14
