Hosting a free workshop / meetup in Brooklyn, NYC on October 22nd! Would love to get together for an insightful discussion on breaking into the industry and answer your questions in person https://lu.ma/x8an77rf

THIS VIDEO
Data cleaning is more than just fixing errors—it's about applying a framework and mental model that can help you shine in job interviews and on the job. In this video, I’ll walk you through a highlevel approach to cleaning datasets, including how to think through common challenges, prioritize your efforts, and document your process like a pro. Stick around to learn the best practices for how to deal with "unsolvable" issues, i.e. missing or nonsensical data and be sure to apply these tips to your portfolio projects!

ABOUT ME
If we haven’t met yet hi! I’m Christine, a former data director and hiring manager helping ambitious career transitioners and recent grads land their first job as a data analyst. I'll be sharing the insights and strategies that empowered over 70% of jobhunting students in the first cohort of my mentorship program landed their first data job within 6 months, in today's supercompetitive job market.

If you want to become a standout data analyst through applied business skills, soft skills, and strategies for every part of the job hunt process so that you can have confidence, professional leverage, and bring real impact to work connect below for more insights and future workshops!

LINKS
Get more tips in my newsletter https://bit.ly/3LodfYs
Apply to the next cohort https://theanalyticsaccelerator.com/
Follow on LinkedIn   / christinejiang  
Instagram   / cjiaang   (my photography, because why not)

Timestamps:
0:00 Introduction
0:36 High Level Thought Process
1:00 The Analytical Lifecycle
2:16 Data Cleaning Framework
3:11 Conceptualize the Dataset
5:49 Locate Solvable Issues
7:46 Evaluate Unsolvable Challenges
10:02 Augmentation
10:58 Note and Document
11:39 Review

Video URL:    • Think like a Data Analyst: Data Clean...