Section 1
1. What Does Clean Data Look Like in Microsoft Excel? 📂
11:13 (Preview)
2. Supercharge Your Microsoft Excel Data Cleaning with Python 📂
20:15 (Preview)
3. How to Clean Data in Excel Using Python: The Basics 📂
31:26 (Preview)
4. Extracting Values From Free Text: Introduction to REGEX 📂
33:23
5. Manipulating and working with Pandas dataframes 📂
44:42
6. Managing Missing Values Part 1 📂
21:25
7. Managing Missing Values Part 2 📂
23:32
8. Obtaining Data Part 1: Working with Files 📂
21:34
9. Obtaining Data Part 2: Working with Web Data 📂
30:22
10. Case Study: Bringing it All Together 📂
39:25
11. Conclusion, Certificate, and What Next?
This website stores cookies on your computer. These cookies are used to improve your website experience and provide more personalised services to you, both on this website and through other media. For example, a cookie will help us recognise when you are logged in. To find out more about the cookies we use, see our Privacy Policy.
By continuing to use this site, you accept our use of cookies and agree to our privacy policy, which helps us provide you with a better browsing experience and personalised content.