The document discusses various data cleaning techniques including changing the case of words using LOWER, PROPER, and UPPER functions, transposing data, removing duplicates, handling missing data, using Text to Columns and Columns to Text, data validation, trimming spaces, extracting parts of strings using RIGHT, MID, and LEFT functions, finding and replacing substrings, and substituting values. It concludes by providing contact information.

2. Introduction:
• What is Data Cleaning ?

3. Data Cleaning:
• Proper Appearance for the words:
LOWER Function.
PROPER Function.
UPPER Function.

4. Data Cleaning:
• Transpose Data.

5. Data Cleaning:
• Duplicates.

6. Data Cleaning:
• Missing Data.

7. Data Cleaning:
• Text to Columns.

8. Data Cleaning:
• Columns to Text.

9. Data Cleaning:
• Variables Unification: Data Validation as a Precaution.

10. Data Cleaning:
• Trim Function (For removing any additional spaces):

11. Data Cleaning:
• Right Function.
• Mid Function.
• Left Function.

12. Data Cleaning:
• Mixing Left & Find Function.

13. Data Cleaning:
• Mixing Mid & Find Function.

14. Data Cleaning:
• Replace Function.

15. Data Cleaning:
• Substitute Function.

16. Data Cleaning:
• Mixing more than one Substitute Function.

17. Keep in touch:
• Mobile: 01060612969 , 01155523721
• Mail: ahmed.essam@lge.com
• LinkedIn: www.linkedin.com/in/ahmed-essam-mohamed