About Data Wrangling

 

Data Wrangling Syllabus

1. DATA WRANGLING UNIT-1 (A) Introduction to Data Wrangling PPTs
2. DATA WRANGLING UNIT-1(C) Data Meant to Be Read by Machines PPTs
3. DATA WRANGLING UNIT-2 (A) Working with Excel Files PPTs
   
4. DATA WRANGLING UNIT-2 (B) Working with PDFs PPTs
   
5. DATA WRANGLING UNIT-2 (C) Acquiring and Storing Data PPTs
   
6. DATA WRANGLING UNIT-3 (A) Data Cleanup PPTS
   
7. DATA WRANGLING UNIT-3 (B) Data Cleanup- Standardizing and Scripting PPTs
   
8. DATA WRANGLING UNIT-4(A) Data Exploration and Analysis PPTs
   
9. DATA WRANGLING UNIT-4(B) Presenting Your Data PPTs
   
10. DATA WRANGLING UNIT-5 (A) WEB SCRAPING PPT
    
11. DATA WRANGLING UNIT-5(B) Advanced Web Scraping PPTs
    

MCQs:

1. Data Wrangling - Data Cleanup - MCQs
   
2. Data Wrangling -1 MCQs
   
3. Data Wrangling - Data Cleanup - MCQ

Programs:

1. CSV File Reading
2. JSON File Reading
   
3. XML File Reading
4. Convert Python dictionary object (sort by key) to JSON data. Print the object members with indent level 4
   
5. Read a given CSV file as a Dictionary.
   
6. Read each row from a given csv file and print a list of strings
   
7. Excel File Reader
8. Data Wrangling - Data Cleanup