This was excellent! Thank you!

Hi, I am trying to switch careers, and people says that` starting out with stats is important to actually know the data and what to do with it. I was doing a project and I did the basic stuff like cleaning, formatting the data types, and other things, after those steps, I really had no idea how to really analyze the data

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Thanks for sharing, always appreciate hearing your insights Christine

Can you reset the link to the lingo guide please

Thank you so much!

Is there any way to get the PowerPoint with links to the videos? I looked at the description and didn't see the brief

Thanks for your effort Christine !

Free NYC workshop / meetup Tuesday 🙂 lu.ma/x8an77rf Applications for the next cohort of the Analytics Accelerator are now open here! theanalyticsaccelerator.com/

Excellent Christine, you won a subscriber and also I will attend the meeting on Oct 22. thanks for sharing this valuable information. You help me a lot to identify this topics in the field and we need to practice everyday also.

Hi, Christine I am glad I came across your KZbin channel. Your video on creating a portfolio really helped me a lot. I need clarification regarding how to write a cover letter as someone who has never worked in an organisation before

Another perfect example of why I am grateful I found her channel! Excellent content and advice!

Wow! Absolutely the information I need as a newcomer to data.

Hi Christine!! OMG your cover letter trick actually worked and it helped me move onto the next round for the BI Analyst role. Where it's now an online assessment testing on logic, math, and critical reasoning. Thank you, and for those thinking if this cover letter worked, YES, it did!! Give that a try! :)

hi im new to your channel:) Im not expert in communication how ever, i've notice you talk too fast and this will lead confusion to your viewer and listener. I suggest, try to speak more ease, your content is nice, good day.

So so helpful , This was a great video on data cleaning . Keep rocking

I'm your fan

Amazing, very insightful. Great video

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the real data cleaning process that ive been looking for, thank u so much 🥹

Thank You for the way of your explanation. You see I am pretty new in this communication field. Can I use your way of explanation to address my data analytics finding

absolute legends!! thank you so much for sharing these strategy!

@christinejangdata for the win again 👏 👏 👏. Amazing video

this is soo great and soo helpful thnks soo much , but i cant get your data for analysis (zoom subcription )

Exactly what i have been looking for, thanks a lot 🫶

This must be the best video for data cleaning. The approach is sound.

Coming from CC Fraud Prevention backround, KPIs were our bread and butter. However, I am in the midst of a career pivot into Data Analyst and this was great info! Thank you for this. I am now following this channel 👍

Hi Christine, Thank you for the video, it was very inspirational. I took out 2 days and made something. I liked you idea about using GitHub but I don't have a lot of contributions on my personal GitHub repos. If a hiring manager were to see the contributions, do you think it would make a negative impact? In that case, do you think it is beneficial to spend a little more time and create a portfolio website?

very good video! Random opinion: I feel the "Identify critical vs non-critical" should comes first before "Identify measures and dimensions" , if I am classifying data with hundreds of columns, it does not make sense to start Identifying each column to know if its quantitative or qualitative, why not select the columns we want to work with first? This is just my opinion, does it make sense?

Hi, Christine. This video came at a really good time as I'm about to apply to a Junior Data Analyst role. I need clarification on something tho. Which would you prefer: a cover letter sent as a document to the recruiter's email or it should rather be in the email's body??

Hosting an in-person meetup NYC this month - just us here! lu.ma/x8an77rf Leave a comment with your thoughts / questions below 🙂

Thanks christine!

I hardly ever comment, but honestly, this is exactly what I needed during my job search as a recent grad trying to sound more professional without much industry experience! Thank you soooo much for this incredible content!

so insightful! this is what i've been looking for all this time! thank you!

can u share best protfolio best websites , piz share them

As always, great video with practical steps and insights. Totally agree with you, as a Data Analyst you shouldn't shy away from data cleaning tasks as it's the first step to ensuring you come out with meaningful data-driven insights to your stakeholders on any level. Recently, I undertook a data cleaning and transformation task as part of the initial stages of a data analyst role for which I applied. Used pandas in jupyter notebooks for the task and made sure I numbered each stage of the process and provided comments on the functions and steps used. Thank you Christine 👍👌

Hi Christine! I have been a fan of your channel - great contents! I have 3 questions for you regarding this video: 1. Where should I include the data cleaning changelog table section in my portfolio project? (Like what section in the README document in Github?) 2. When you talked about asking questions and discussing about unsolvable data issues with a team member and let's say I have that option, who should that person be (data entry person, the salesperson who is in charge of that data, a data engineer, my manager, stakeholders) and what answer can I realistically expect to get from them (they will give me an updated database/data record or say that the correct data is not found or suggest me to clean the data in a certain way)? 3. From my own research, I see DA job interview questions about data collection as a data analyst. I just wonder if data collection and data cleaning are considered 2 different process, or data cleaning is a part of data collection or what their relationship is. Thank you! And I look forward to watching more of your videos!

Wow, wow, wow!! OMG, this is like having free industry-based data analyst personal coach by my side. A lot of the things you mentioned in this video were not taught when I was taking courses at college. I really appreciated it, it took me 1 hour to watch the vlog and take copious amounts of notes because I believe this will serve me well in my portfolio projects as I prepare to land my first data analyst job! Thank you so much, your videos are so helpful to a beginner data analyst like myself! ♥♥

Happy teachers Day!

Ah, thats a nice little framework. Imma give it a try 🙂

Hi you’ll be my first KZbin analytics mentor. I’m not disappointed yet 😂❤

Value-packed. Thanks for sharing.

Hey christine ...please do a video on how you can connect or gain access to companies databases /data ...like vpn and all ways ... because many people don't know how to gain access to companies data if you are working remote/ freelancing ...its a very small thing but most people have many doibts regarding it and find it little technical .

hello mam my skills are python ,sql,numpy, pandas is these skills are enough to get a job in a data releated domain . i also created a project on data analysis

I live in India and I can't enroll into your program currently , please make it available for students in Asia . I really love you you tube videos as they are short and crisp , Thanks for all the efforts you put while making these informative stuff .

I think this is the best video that I've seen so far concerning the Data Cleaning process. Decomposing data cleaning step by step and providing a detailed framework it is something that I have not seen on other KZbin channels! Thank you for sharing Christine and looking forward to your next video!😄

Thanks for the great content! I feel learn more real-world-practical knowledge here than on other YT channels. Thanks!

Very detailed video, great info! Ty

I do hope u mase this video before i further my master a year ago😭

Thank you, Christine, your videos definitely clarify many questions I had. Working on implementing your tips on my end. Looking forward to a more positive outcome.😊