Your ability to make everything clear and logical has greatly increased my confidence. I found it challenging to understand the reasoning behind the structure rather than the technical aspects. Suddenly, everything fell into place and I had a breakthrough moment. Thank you 😊
Good that I found your channel so early in my data analyst journey. At my current job, I do a lot of elements and tasks that data analysts do and want to transform those skills into my earnings. I'm 43, and I'm excited to work with the new tools and show what I can do.😊 your videos are great guidelines for what I want to accomplish
It's actually mind-blowing to get this quality content on a weekly basis! It couldn't have come at a better time, since I'll be looking for my first job in the data world in the next weeks, and I was just finishing the portfolio. Thanks a lof for the help! :)
I truly appreciate the valuable insights you’ve provided regarding industry expectations and interview perspectives. Your guidance has been incredibly helpful in pinpointing the specific areas where I need improvement, which we often recognize but struggle to identify in detail. Your feedback is right on target, and I’m grateful for the clarity and direction you’ve offered. Thank you so much! 😊😊
No other data analytics channel talks these things that you talk. Everyone just yaps about technical stuff but nobody talks about how to put it together so that we standout. This is gold 🪙.
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.😊
Hello Christine, Thank you so much for making this video, it had some really useful and practical points! Can you please make another video where you take a look at different dashboards and give your viewpoints on those? I am really not sure what should be present for a dashboard to be aesthetic, seeing some practical examples of such dashboards would be great!
Hi Christie, I noticed the example readme file didn't include a section on the North star metrics and dimensions, wouldn't it be better to include that?
love that you raised this - notice that in the overview section, we actually covered this (mentioning historical sales by region, revenue, aov, customer retention, etc). though we haven't explicitly titled it "north star metrics and dimensions", we've still highlighted them clearly.
Realize that this is in and of itself her ReadMe on how we should do it, as her "stakeholders"? It doesnt get any simpler and clearer than this. But yeah, ive been watching videos after videos, without actually making a move. Sorry Christine.
The next cohort of my mentorship program is now open to applications here! bit.ly/3YSmfwr
Your ability to make everything clear and logical has greatly increased my confidence. I found it challenging to understand the reasoning behind the structure rather than the technical aspects. Suddenly, everything fell into place and I had a breakthrough moment. Thank you 😊
that made my day :)
Good that I found your channel so early in my data analyst journey. At my current job, I do a lot of elements and tasks that data analysts do and want to transform those skills into my earnings. I'm 43, and I'm excited to work with the new tools and show what I can do.😊 your videos are great guidelines for what I want to accomplish
Glad you enjoyed the videos!
Top tier data analytics youtube channel. I learned a lot, thank you so much.
Super happy to hear it!
It's actually mind-blowing to get this quality content on a weekly basis! It couldn't have come at a better time, since I'll be looking for my first job in the data world in the next weeks, and I was just finishing the portfolio. Thanks a lof for the help! :)
thank you for the kind words - super glad it's helpful!
Awesome... You are really giving me what I want. I love you ma, and up for liking all your videos. ❤❤❤❤
I immediately Like your videos the moment I open them. Great advice and content as always
thank you paul :)
I truly appreciate the valuable insights you’ve provided regarding industry expectations and interview perspectives. Your guidance has been incredibly helpful in pinpointing the specific areas where I need improvement, which we often recognize but struggle to identify in detail. Your feedback is right on target, and I’m grateful for the clarity and direction you’ve offered. Thank you so much! 😊😊
thank you for being here!
This is the content I have been looking for. Thank you!
you got it :)
Wow! Absolutely the information I need as a newcomer to data.
It would be really helpful if you make a video about project ideas that stand out from crowd and where to get real data sets apart from kaggle
Noting that one down!
Happy teachers Day!
aw thank you!
No other data analytics channel talks these things that you talk. Everyone just yaps about technical stuff but nobody talks about how to put it together so that we standout. This is gold 🪙.
that's my goal!
so so true!
Thank you so much Christine 👍
Thanks christine!
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.😊
looking forward to hearing your positive outcome :)
Hello Christine,
Thank you so much for making this video, it had some really useful and practical points! Can you please make another video where you take a look at different dashboards and give your viewpoints on those? I am really not sure what should be present for a dashboard to be aesthetic, seeing some practical examples of such dashboards would be great!
oooh love this idea! that was on my list to begin with, so i'll add your thoughts there :)
Your channel is so good! It's so refreshing hearing actual new information
Super happy to hear it!
Much needed. Thank you for making this video. Really appreciate it.
I'm very glad to hear that 🙂
There's quite a few good Data Analysis RUclips channel on the "How". Yours is the best on the "What" and "Why".
Thank you🙂
Thank christine 😃! i learnt a lot from this video.
Super insightful and interesting.
Excellent content! Would you be commenting on Cloud-based analytic projects?
Top-notch, thank you.
Much needed video
thank you for this
Thank you!
I literally needed this
That's awesome to hear!
Great Work! Is there a chance to either post the link to the datasets, or to the GitHub repo ? that would be awesome! Thx
I learned a lot from this video. I would like you to make a video on project reviews.
project reviews, as in giving feedback on portfolio projects?
Hi Christine, this is so hopeful! Can you please film a video about how to create the first portfolio as a beginner? Thank you!
adding it to my list!
Thank you so much.
Right on time 🔥
nice :)
Hi Christie, I noticed the example readme file didn't include a section on the North star metrics and dimensions, wouldn't it be better to include that?
love that you raised this - notice that in the overview section, we actually covered this (mentioning historical sales by region, revenue, aov, customer retention, etc). though we haven't explicitly titled it "north star metrics and dimensions", we've still highlighted them clearly.
Where i can get your resume template ?
❤yourlectureisananalogyrelativetolisteningtoasoulballadwhichissorelaxingyouaresointelligent
There's an ERD in Excel and PowerBI
Thannyou
Anderson Melissa Martinez Jennifer Young Anthony
Realize that this is in and of itself her ReadMe on how we should do it, as her "stakeholders"? It doesnt get any simpler and clearer than this. But yeah, ive been watching videos after videos, without actually making a move. Sorry Christine.
you can make up for it by making a move :)
Thank you so much @christinejiangdata