Event: Data for Women at the AUC : https://goo.gl/MvtbMt Speaker: https://goo.gl/E56m2f

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