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[ DevCourseWeb com ] Udemy - Data Processing - Transformation - Complete Edition Python ETL
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1. Basic Setup
1. Setup Python & Jupyter.mp4
1. Setup Python & Jupyter.srt
2. Setup KNIME.mp4
2. Setup KNIME.srt
2. Getting Started
1. Understanding Udemy.mp4
1. Understanding Udemy.srt
2. Attachments.mp4
2. Attachments.srt
2.1 Amazon e-commerce data.csv
2.10 calendar_output.csv
2.11 calendar_output.csv
2.12 calendar_output.csv
2.13 listings_output.csv
2.14 listings_output.csv
2.15 listings_output.xlsx
2.16 listings_output.xlsx
2.17 listings.csv
2.18 reviews_detailed.csv
2.19 Sales data Unpivot.csv
2.2 Amazon_e-commerce_data.xlsx
2.20 Seller Data.xlsx
2.3 Amazon_output_2.xlsx
2.4 Amazon_output.xlsx
2.5 Amzaon_output_1.xlsx
2.6 calendar 1.csv
2.7 calendar 2.csv
2.8 calendar 3.csv
2.9 calendar_output.csv
3. Python Basics
1. Variables.mp4
1. Variables.srt
1.1 Python variables & Datatypes.pptx
2. Lists.mp4
2. Lists.srt
2.1 Lists in Python.pdf
3. Tuples and Sets.mp4
3. Tuples and Sets.srt
3.1 Tuples and Sets.pptx
4. Dictionaries.mp4
4. Dictionaries.srt
4.1 Dictionaries.pptx
5. Conditions.mp4
5. Conditions.srt
5.1 Python Conditions.pptx
6. Functions.mp4
6. Functions.srt
6.1 Python Functions.pptx
7. Loops.mp4
7. Loops.srt
7.1 Python Loops.pptx
4. PANDAS Basics
1. Introduction.mp4
1. Introduction.srt
1.1 0. Pandas intro.pptx
10. High level description (part 2).mp4
10. High level description (part 2).srt
11. Unpivot.mp4
11. Unpivot.srt
11.1 9. Pandas Unpivot.pptx
12. Save Data.mp4
12. Save Data.srt
12.1 10. Pandas Save data.pptx
13. Joins.mp4
13. Joins.srt
13.1 11. Pandas Joins.pptx
14. Joins extensive example.mp4
14. Joins extensive example.srt
14.1 Seller Data.xlsx
2. Create Dataframe & indexing.mp4
2. Create Dataframe & indexing.srt
2.1 1. Pandas Creating and Indexing.pptx
2.2 Amazon e-commerce data.csv
3. Loading & Reading.mp4
3. Loading & Reading.srt
3.1 2. Pandas Loading data & reading.pptx
4. Adding & Deleting Column.mp4
4. Adding & Deleting Column.srt
4.1 3. Pandas Adding and Deleting.pptx
5. Concatenate.mp4
5. Concatenate.srt
5.1 4. Pandas Concatenate.pptx
6. Filtering rows.mp4
6. Filtering rows.srt
6.1 5. Pandas Filtering rows.pptx
7. Iterate each row.mp4
7. Iterate each row.srt
7.1 6. Pandas Iterate each row.pptx
8. Re arranging columns.mp4
8. Re arranging columns.srt
8.1 7. Pandas Re arranging columns.pptx
9. High level description (part 1).mp4
9. High level description (part 1).srt
9.1 8. Pandas High level description (2 parts).pptx
5. PANDAS Project
1. Part 1.mp4
1. Part 1.srt
1.1 Amazon_e-commerce_data.xlsx
2. Part 2.mp4
2. Part 2.srt
3. Part 3.mp4
3. Part 3.srt
4. Part 4.mp4
4. Part 4.srt
5. Part 5.mp4
5. Part 5.srt
6. Part 6.mp4
6. Part 6.srt
6.1 Amzaon_output_1.xlsx
6. KNIME
1. Introduction.mp4
1. Introduction.srt
1.1 What is KNIME.pptx
10. Column Splitter.mp4
10. Column Splitter.srt
11. Metanode.mp4
11. Metanode.srt
12. Excel Writer.mp4
12. Excel Writer.srt
13. Rule Engine.mp4
13. Rule Engine.srt
14. Joiner.mp4
14. Joiner.srt
14.1 Seller Data.xlsx
15. Rule Based Row Filter.mp4
15. Rule Based Row Filter.srt
16. Concatenate.mp4
16. Concatenate.srt
17. Unpivot.mp4
17. Unpivot.srt
18. Row FIlter.mp4
18. Row FIlter.srt
2. Nodes.mp4
2. Nodes.srt
2.1 Nodes.pptx
3. Workflow & Metanode.mp4
3. Workflow & Metanode.srt
3.1 Workflow_METANODE.pptx
4. Create Workflow.mp4
4. Create Workflow.srt
4.1 Amazon e-commerce data.csv
5. Constant Value Column.mp4
5. Constant Value Column.srt
6. Column Resorter.mp4
6. Column Resorter.srt
7. Missing Values.mp4
7. Missing Values.srt
8. String Manipulation.mp4
8. String Manipulation.srt
9. Math Formula.mp4
9. Math Formula.srt
7. KNIME Project
1. Part 1.mp4
1. Part 1.srt
2. Part 2.mp4
2. Part 2.srt
3. Part 3.mp4
3. Part 3.srt
4. Part 4.mp4
4. Part 4.srt
8. Project (PANDAS)
1. Part 1.mp4
1. Part 1.srt
1.1 calendar 1.csv
1.2 calendar 2.csv
1.3 calendar 3.csv
2. Part 2.mp4
2. Part 2.srt
3. Part 3.mp4
3. Part 3.srt
3.1 listings.csv
4. Part 4.mp4
4. Part 4.srt
5. Part 5.mp4
5. Part 5.srt
9. Project (KNIME)
1. Part 1.mp4
1. Part 1.srt
2. Part 2.mp4
2. Part 2.srt
3. Part 3.mp4
3. Part 3.srt
4. Part 4.mp4
4. Part 4.srt
5. Part 5.mp4
5. Part 5.srt
Bonus Resources.txt
Torrent description
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