As mentioned in the description, join me in person if you're in Paris next week! Feel free to post any questions about portfolios, job hunt etc :) Edit: Next lunch and learn workshop with me will be August 10th! lu.ma/dgc44kyu
@@rohangaming4087 oof i know, i realized too late :( i already rented the place and am leaving london in a few days so i can't reschedule, but we'll be there for an hour before the match!
This is a really nice video. Very helpful to me considering I'm currently building my portfolio. From your experience, which would you recommend between PowerBI and Tableau
Jesus freaking christ. Needing to have all this technical knowledge BEFORE you're even considered for and *ENTRY* level position is insane to me. The job market is so cooked.
keep in mind this is a framework to create a standout portfolio, not an average one. if you have this kind of portfolio for an entry level position, you'd be in the top ~10% of applicants. so don't be overly intimidated - many people do get data jobs without this level of knowledge, but my goal here is to help you guys build next-level work so you can stand out and make it to the other side as efficiently as possible. the market is slightly cooked but the meal is worth it :)
@@christinejiangdataThank you very much for the video! Could you please be so kind as to share share more details (maybe in your next video) how to create fictional data? Or useful sources of publicly available information that can help to create business relevant projects?
You are competing against a lot of people who are applying to entry level jobs and have a lot of technical knowledge and experience. Why wouldn't a company hire them instead of someone who has nothing. You have to make yourself valuable to the market if you want to get hired, don't just expect to get hired just because it's an "entry level" role.
In this single video you could add more value than people who are in TH-cam for more than 5 years speaking about data. You’re valuable. Thanks for the video, it was interesting. Take care
WOW, it's so refreshing how concise and pragmatic your recommendations are! Your real-world experience truly shines through. Thank you for making this video!
She keeps saying, “not showing any company metrics” - and I’m sitting here thinking, but showing company metrics/kpi would be a non-disclosure breach🤔…….or maybe I’m not following her?
Main thing is to network with the right people. You can be smart and hard working and have the best portfolio, you'll never get a job vs someone who plays pickle ball with the hiring manager over the week end. Also and more importantly: data analyst is the first job to go with AI. I am sorry to prick the bubble of positiveness here, but someone has to do it for you future self before you end up in a dead end tech career like I did. Source: someone who does not make YT videos from a closet, and has actually worked in tech industry for 20 years and survived many reorgs and has been made redundant 3 times. Good luck out there, and consider changing career, like plumbing.
a lot of early career data analysts are concerned about the implications of AI on the future of their career, not realizing the best analysts are those with strong communication / people skills and ability to connect tools to insights to people to actions. the industry needs more data analysts who can act as product managers, bringing negotation skills, storytelling, and a human perspective to numbers - over time, we should happily leave the SQL querying to AI. it's an exciting time if you can adapt your skills to use AI as a powerful companion, rather than competition. you're right though, networking is key (more on this later) and it does look like i'm in a closet! haha
I only have 1 project in data analysis with various stakeholders. I dont have the file to show the dashboard because I'm no longer working in that company. Instead I only have such PDF of the result of the project. My I attach that pdf into my CV mam?
Great content, keep the good work up! I'd like to see similar video for data folks with 2 to 4 YOE. Like how the portfolio should look like for that stage in career, or even does it really matter as it does for entry level jobs. Thanks!
thank you! generally for people with a few years of data analytics experience, your work experience should be doing the talking, not a portfolio - unless you're trying to transition into a slightly different field, like going from data analytics to data science. if you have a few years under your belt, make sure to touch on these three things in your resume: 1) the technical tools and techniques, 2) the business metrics and business impact, and 3) the stakeholders. examples in my resume video!
New sub here, this is excellent content. Im transitioning to private sector, and have zero experienece putting together data portfolios since my last field only cared about written publications. Im hoping thatthis will help me to stand out! Do you have a sense of how long each project should take? Right now im at about 3 days on each one.
I have never seen anyone who post such great content for Data analyst , Your content are just on point and clears most of my questions on my head . Thank you for creating such good content , this is really so useful .
Whatever. "What are the trends in sales and how does this differ across key customer segment?" How is that different from "What the trends in poverty and how does this differ across country groups" Ma'am, this is same analysis, just different data. And how are you going to find what drives sales without doing any causality analysis?
much of a data analyst's job is in analyzing how metric trends differ by dimensions in order to tell a story of what's driving metric fluctuation. so by showing how does metric A differ by dimension B, C, and D, and what are the actionable insights we can garner from these trends - using data cleaning, data visualization, and data storytelling using excel, sql, tableau, and github - you're building a project that is not only flexible across industries, but shows you're familiar with the real-world analytics lifecycle. the best analysts can use simple and straightforward techniques to unearth insights without overcomplicating things!
this was amazing and so useful. I realize I am making so many mistakes with my portfolio, and its things I never would have realized without your video and your honesty here. Alot of youtubers will not say things like this!! tyvm
Do trades. White collar tech jobs are cooked. Data analysis can be done by AI agents soon. If you think jobs are scarce now. Wait for AI agents next year. I'm playing with LangGraph right now and it can do already the entry level data analyst job of scraping data, cleaning data, normalizing it and then creating chart AND interpretation. I think we still have some edge for few years on ideation and interprétation. But data cleaning and extracting and charting 100% will be automated.
Hi Christine awesome video! I saw you mentioned this was a "self-created" zoom dataset. How exactly did you create it? I am trying to do something similar because I find that one of the hardest parts of creating a business relevant portfolio project is finding an appropriate dataset other than the generic sales datasets I find online. Thanks!
it mixing datasets from Kaggle, chatGPT, and then manual manipulation to create realistic seasonal trends based on what i see to be common in SaaS industries. it took me maybe over 20 hours to make, so not for the faint of heart!
@@christinejiangdata Haha OK nice! I have been experimenting with GPT as well for datasets but get mixed results. Glad you were able to make it work and I will incorporate some of your methods to see if I can improve my datasets. Thanks for your help.
Such a gem among the generic data analytics tutorials on TH-cam. Right to the point! I would like to hear more from you about strategies during case study interviews, e.g root cause analysis.
gotcha. for data analysts, root cause analysis generally doesn't get extremely technical (i.e. using machine learning libraries in python); instead it can be founded on "common sense" techniques like slicing a key metric by key dimensions to first understand what the main drivers of certain metric fluctuations are.
Thank you for the video. I noticed that the Readme file in your portfolio project was very short and did not show the data-cleaning process and the steps you took to reach to your conclusions. Does that mean it's really not important to show the detailed stages that took place to clean the data and perform exploratory data analysis? Is it enough to just show the SQL code in a separate file with comments? What if the cleaning process took in Excel & SQL at the same time? Do we just explain the process in the interview or do we have to mention it somewhere in GitHub files?
An excellent and information PACKED video! I started to take notes to improve my portfolio, then switched to screenshots because my notes became lengthy and I couldn't write fast enough. Christine, thank you very much for sharing this information! I'd love it if you went slightly slower.
Thank you Christine so much for this video! I'm trying to start a career as Data Analyst and I really feel like this video is helping me guiding through. Keep up the good work 🙏 You earned a sub
Happy to see you here! Will be more videos soon about technical interviews and the full end-to-end roadmap, especially for those starting out in data analytics. :)
i wish i could give a super straightforward answer here, but it really depends on the overall package of the candidate - there's not one clear one over the other. i'll say a really impressive portfolio can overcome not having a formal college degree, while having a formal college degree in a technical field can overcome not having a portfolio IF you're someone who graduated in the last few years. hiring managers are ultimately trying to assess whether you can do the job, and will be looking for demonstrated proof of your overall experience - whether that comes through in portfolio work or school work there isn't a very clear line. all your experience should be expressed in 3D bullets (from my resume video)! hope that helps :)
Where have you been Christine? Alot of YT vids on "How to get a Data Analyst (DA) job..." are just a waste of time. Editing past projects based on some of your suggestions. 3 yr DA in transition... Thanks. liked & subscribed
I subscribed from watching this video! Super helpful! I just quit my IT Manager job since I'm moving to NYC and took it upon myself to finally take the step into my dream industry (data). Do you have any resume templates? Will also be attending your free workshops this month!
Hi Christine, I really appreciate the knowledge and insights you share to us in this video I truly learn a lot, even take a whole notes and action plan based on your video, you are truly an insightful mentor. I have a clear vision on what to do with my project to apply a job from your explanation, but i can't find the project you mentioned in the video in your github, i want to know whether it's available for public or not. Once again, thank you, looking forward another lessons from you. Regards.
thank you for the kind words! the project isn't available publicly at the moment - i need to do some cleanup so it's in its best shape before people start using it as an example. this is on my to-do list after things get a bit less chaotic for me in the next week or so - thanks for the patience!
Hi Christine, this was a very informative video. I am a computer science graduate, a fresher with a career gap.. I want to start out in Data Analysis now for my career.. what should be a timeline to study and prepare to get a job in 6 months?
Hi Christine, fantastic video. In my portfolio for most projects I utilized chatgpt and other tools to do the actual coding, I justified this by thinking there's business value in figuring out how to assemble a good project even with technical skill based limitations. Is this a poor practice and would this not be taken well by hiring managers? I would appreciate any answers you could provide. Your photography is great BTW, very unique brand you're building here.
thank you and thank you! this is an interesting question. i'd say it's okay to say you used chatgpt to build the dataset, but this isn't directly applicable to the job since we don't actually "officially" use chatgpt on the job a lot (data privacy issues). it'll be more important to highlight the business relevance of the insights (who would the project have been for? what are the insights you discovered)? and leave the chatGPT stuff as a secondary detail.
If frontloading information and business questions are of the most importance for someone building up their portfolio, the bad examples should have been saved for the end. The video is not designed for people just starting, but instead for viewer retention. It would be more helpful to have more information on "interesting" datasets.
it's fine as an introduction to analytics, but it's far from teaching you what you need for the actual job and recruiters don't look for the certificate (i actually recommend not including this on your resume). applied experience and projects with real business insights are much more important.
This is great. Thanks for the share. Neat, clean and simple to understand. I'm always showing my learning project before this and I need to change that. 🙏
I have been looking for months. You are telling the key information. As I worked as business consultant and business development manager, I care more on the report, result, how rather than how to use excel or sql..
Is it possible to get a data analyst as I graduated with Engineering degree without working experience? Should I find a data-internship or work in engineering field first to get experience and transition myself later.
i recommend exploring options that will get you relevant experience as soon as possible; an engineering internship (which has a direct bridge from your degree) is a great next step. you can also land a data internship directly from an engineering degree if you have data analytics qualifications and no gap between your grad date and working experience.
wow ! , this was really different from the USUal crap that data analyst TH-camrs sell . Thank you for the insightful things real world actually uses . thank you Christine
This is really helpful as I'm at the point of building my project portfolio. I've already made some adjustments with the information you shared. Thanks so much.
This video was super impactful and well organized. I am currently working on my portfolio projects to break into the industry as a Business/Data Analyst. Really happy to hear that I am on the right path choosing real world projects that highlight the process of extracting business insights, but also you made some really helpful points that I am going to use to make the most of my portfolio. Thanks for sharing!
Thanks Christine. I feel so lucky stumbling onto your video on TH-cam, just when I am building my portfolio. I finished creating my website and now I need to fill it up with projects. Listening to your suggestions gave me more direction on where to focus. I'm still overwhelmed by the number of projects out there, and I have a difficulty choosing which projects to do. I want to look for full stack projects, but at the same time, I don't feel equipped with the necessary skills yet.
i hear you, one of the hardest things with projects is knowing where to start. i'll try to do a deep-dive video on how to take the next step with projects
@@christinejiangdata A deep-dive video on taking the next step would be incredibly helpful. You already mentioned some great criteria for a good project in your video, such as answering a business-relevant question, focusing on key business metrics, and integrating essential skills into the system. What is an example of a good project and the kind of tech stack that could be used? I'm curious and would love to hear your thoughts in a future video. Thanks and take care for now.
I need to clean the github up a bit so it's ready for public use, but I'll send it in a future newsletter about projects (feel free to sign up here!) the-analytics-accelerator.ck.page/e8ea5df762
Amazing video thank you so much! I am in grad school for data right now pivoting careers so this is super helpful. I would love to see more videos on making interactive tableau dashboards in the future. Like tips and tricks to make showing projects more interactive and applicable to businesses and hiring managers. You rock!
@@christinejiangdata Please do more impact project statements and resume sentences examples with the before and after, as you did in the end of your last video. I’m having issues writing general sentences like Conduct research and then created reports( I’m in marketing), and I’m job hunting at the moment. Thank you in advance if it is possible 💡❤️
@@AngelicaDFranklin Got it! So more concrete examples of how to translate non-data experience to data hiring managers. 1) Check out my resume video and 2) I'll definitely include more concrete examples in the future then - sounds like you're talking about portfolio projects and past work projects in particular.
I currently get stuck on my portfolio then I see your sharing. It's incredibly helpful, simple and worth every second. I will digest all of your video and look forward to your future sharing. Thanks a lot 💙
Hello Christine! As an aspiring data scientist who is self-taught, I have found essential insights in your content that were new to me. Your content enables people like me to forge our own paths. Wishing you health and success in your endeavors. Regards.
As mentioned in the description, join me in person if you're in Paris next week! Feel free to post any questions about portfolios, job hunt etc :)
Edit: Next lunch and learn workshop with me will be August 10th! lu.ma/dgc44kyu
Are you also holding an event in Paris?
@@camilleflores4193 We had a meetup in Paris last week - tomorrow's meetup will be in London!
@@christinejiangdata England are playing in the Euros tomorrow :(
@@rohangaming4087 oof i know, i realized too late :( i already rented the place and am leaving london in a few days so i can't reschedule, but we'll be there for an hour before the match!
This is a really nice video. Very helpful to me considering I'm currently building my portfolio.
From your experience, which would you recommend between PowerBI and Tableau
Jesus freaking christ. Needing to have all this technical knowledge BEFORE you're even considered for and *ENTRY* level position is insane to me. The job market is so cooked.
keep in mind this is a framework to create a standout portfolio, not an average one. if you have this kind of portfolio for an entry level position, you'd be in the top ~10% of applicants. so don't be overly intimidated - many people do get data jobs without this level of knowledge, but my goal here is to help you guys build next-level work so you can stand out and make it to the other side as efficiently as possible. the market is slightly cooked but the meal is worth it :)
@@christinejiangdataThank you very much for the video! Could you please be so kind as to share share more details (maybe in your next video) how to create fictional data? Or useful sources of publicly available information that can help to create business relevant projects?
You are competing against a lot of people who are applying to entry level jobs and have a lot of technical knowledge and experience. Why wouldn't a company hire them instead of someone who has nothing.
You have to make yourself valuable to the market if you want to get hired, don't just expect to get hired just because it's an "entry level" role.
In this single video you could add more value than people who are in TH-cam for more than 5 years speaking about data.
You’re valuable.
Thanks for the video, it was interesting. Take care
Hahah oof that means a lot, I'm trying! Thank you
WOW, it's so refreshing how concise and pragmatic your recommendations are! Your real-world experience truly shines through. Thank you for making this video!
thank you! hope it helps you :)
YES we definitely need how to answer those questions at the end! And did anyone find the zoom project on her github? i cant find it :(
She keeps saying, “not showing any company metrics” - and I’m sitting here thinking, but showing company metrics/kpi would be a non-disclosure breach🤔…….or maybe I’m not following her?
She literally said she made up data and brought it in from kaggle. This is a demo. It doesn’t need to be based on proprietary data.
This is a great example of advice that’s very obvious, but only once it’s explained. Thank you!
Such a great video!! Thanks for sharing your experience!!
Not me taking notes as I watch and listen. 😅 This is really helpful and I'll be sticking around for more. Thank you, Christine.
not me being happy you're taking notes as you listen :)
Main thing is to network with the right people. You can be smart and hard working and have the best portfolio, you'll never get a job vs someone who plays pickle ball with the hiring manager over the week end. Also and more importantly: data analyst is the first job to go with AI. I am sorry to prick the bubble of positiveness here, but someone has to do it for you future self before you end up in a dead end tech career like I did. Source: someone who does not make YT videos from a closet, and has actually worked in tech industry for 20 years and survived many reorgs and has been made redundant 3 times. Good luck out there, and consider changing career, like plumbing.
a lot of early career data analysts are concerned about the implications of AI on the future of their career, not realizing the best analysts are those with strong communication / people skills and ability to connect tools to insights to people to actions. the industry needs more data analysts who can act as product managers, bringing negotation skills, storytelling, and a human perspective to numbers - over time, we should happily leave the SQL querying to AI. it's an exciting time if you can adapt your skills to use AI as a powerful companion, rather than competition.
you're right though, networking is key (more on this later) and it does look like i'm in a closet! haha
@@christinejiangdata Love the reply
Hi, I'm not able find the Spotify project on your Github
I only have 1 project in data analysis with various stakeholders. I dont have the file to show the dashboard because I'm no longer working in that company. Instead I only have such PDF of the result of the project. My I attach that pdf into my CV mam?
Great content, keep the good work up! I'd like to see similar video for data folks with 2 to 4 YOE. Like how the portfolio should look like for that stage in career, or even does it really matter as it does for entry level jobs. Thanks!
thank you! generally for people with a few years of data analytics experience, your work experience should be doing the talking, not a portfolio - unless you're trying to transition into a slightly different field, like going from data analytics to data science. if you have a few years under your belt, make sure to touch on these three things in your resume: 1) the technical tools and techniques, 2) the business metrics and business impact, and 3) the stakeholders. examples in my resume video!
Thank you so much Christine
i'm still waiting for the link to the dataset
How would one adopt company goals and business metrics in projects id they’re seeking their first job?
I’ve been at my pricing analyst job since January 2023, should I still do this or focus more on my work experience?
New sub here, this is excellent content. Im transitioning to private sector, and have zero experienece putting together data portfolios since my last field only cared about written publications. Im hoping thatthis will help me to stand out! Do you have a sense of how long each project should take? Right now im at about 3 days on each one.
Very interesting what you share Chris. I can't find the repository with the Zoom example, can you share it?
hey me also :( , did you manage to find it ?
I have never seen anyone who post such great content for Data analyst , Your content are just on point and clears most of my questions on my head . Thank you for creating such good content , this is really so useful .
Do a portfolio tutorial from scratch that might be helpful! 🙂
thanks christine !
Where is the GitHub link?
Whatever. "What are the trends in sales and how does this differ across key customer segment?" How is that different from "What the trends in poverty and how does this differ across country groups" Ma'am, this is same analysis, just different data. And how are you going to find what drives sales without doing any causality analysis?
much of a data analyst's job is in analyzing how metric trends differ by dimensions in order to tell a story of what's driving metric fluctuation. so by showing how does metric A differ by dimension B, C, and D, and what are the actionable insights we can garner from these trends - using data cleaning, data visualization, and data storytelling using excel, sql, tableau, and github - you're building a project that is not only flexible across industries, but shows you're familiar with the real-world analytics lifecycle. the best analysts can use simple and straightforward techniques to unearth insights without overcomplicating things!
Thank you! This is so helpful. So much value in the examples as well. :)
Thank you🙂
this was amazing and so useful. I realize I am making so many mistakes with my portfolio, and its things I never would have realized without your video and your honesty here. Alot of youtubers will not say things like this!! tyvm
that's exactly my goal. thanks for being here :)
Do trades. White collar tech jobs are cooked. Data analysis can be done by AI agents soon. If you think jobs are scarce now. Wait for AI agents next year. I'm playing with LangGraph right now and it can do already the entry level data analyst job of scraping data, cleaning data, normalizing it and then creating chart AND interpretation. I think we still have some edge for few years on ideation and interprétation. But data cleaning and extracting and charting 100% will be automated.
Hi Christine awesome video! I saw you mentioned this was a "self-created" zoom dataset. How exactly did you create it? I am trying to do something similar because I find that one of the hardest parts of creating a business relevant portfolio project is finding an appropriate dataset other than the generic sales datasets I find online. Thanks!
it mixing datasets from Kaggle, chatGPT, and then manual manipulation to create realistic seasonal trends based on what i see to be common in SaaS industries. it took me maybe over 20 hours to make, so not for the faint of heart!
@@christinejiangdata Haha OK nice! I have been experimenting with GPT as well for datasets but get mixed results. Glad you were able to make it work and I will incorporate some of your methods to see if I can improve my datasets. Thanks for your help.
Gained a new keyword for my learning bucket list : Business Relevant Metrics. Thank you for the insights, great video 🙏
there you go! :)
Such a gem among the generic data analytics tutorials on TH-cam. Right to the point!
I would like to hear more from you about strategies during case study interviews, e.g root cause analysis.
gotcha. for data analysts, root cause analysis generally doesn't get extremely technical (i.e. using machine learning libraries in python); instead it can be founded on "common sense" techniques like slicing a key metric by key dimensions to first understand what the main drivers of certain metric fluctuations are.
Awesome video that was clear and straight to the point!
thank you! happy to hear it
Amazing information - thank you! Very well presented :)
Hi, can you give the link to your github project? I could not find it. Thank you!
Thank you for the video. I noticed that the Readme file in your portfolio project was very short and did not show the data-cleaning process and the steps you took to reach to your conclusions. Does that mean it's really not important to show the detailed stages that took place to clean the data and perform exploratory data analysis? Is it enough to just show the SQL code in a separate file with comments? What if the cleaning process took in Excel & SQL at the same time? Do we just explain the process in the interview or do we have to mention it somewhere in GitHub files?
You have no idea how much this helps
super happy to hear that
An excellent and information PACKED video! I started to take notes to improve my portfolio, then switched to screenshots because my notes became lengthy and I couldn't write fast enough.
Christine, thank you very much for sharing this information! I'd love it if you went slightly slower.
can you mention in which repository the zoom dataset is present so I can download it. Very helpful video
This video was so practical and relevant for helping people build portfolio projects! Thanks for sharing.
Great video. Very helpful. Thank you for sharing, Christine.
Meanwhile you go to an oil rig, get hired on the spot, no degree, double the salary.
Wow, very helpful and concise. Thanks
Which comes first, the resume or the portfolio?
can u share the project link? zoom subscription analysis??
Thank you Christine so much for this video!
I'm trying to start a career as Data Analyst and I really feel like this video is helping me guiding through.
Keep up the good work 🙏
You earned a sub
Happy to see you here! Will be more videos soon about technical interviews and the full end-to-end roadmap, especially for those starting out in data analytics. :)
@christinejiangdata
The channel notifications are on, so I hope to see a video of yours pop up soon!
Best of luck!
do you think you can share the word template for what an ideal data analyst CV should look like? thank you!
thanks so much for the video. what software should i study for me to be a data analyst?
Great video! I’m curious, as a hiring manager, do you value experience accompanied by a good portfolio over a formal college degree?
i wish i could give a super straightforward answer here, but it really depends on the overall package of the candidate - there's not one clear one over the other.
i'll say a really impressive portfolio can overcome not having a formal college degree, while having a formal college degree in a technical field can overcome not having a portfolio IF you're someone who graduated in the last few years. hiring managers are ultimately trying to assess whether you can do the job, and will be looking for demonstrated proof of your overall experience - whether that comes through in portfolio work or school work there isn't a very clear line. all your experience should be expressed in 3D bullets (from my resume video)! hope that helps :)
@@christinejiangdata I appreciate the perspective and that definitely makes sense. I look forward to watching more content from you!
@@Hotdads1 thank you!
damn what a greatt video, bravo and thanks.
very complete explanation, you show us that you're an experienced data professional. Awesome! Thank you Christine.
Incredible tips! Thanks for the recommendations, it did help me a lot!
I'm super happy to hear! Next vid will be on interview tips :)
many thanks for your really useful video, TOP
I'm just starting out in this field. Thanks for posting!
Where have you been Christine? Alot of YT vids on "How to get a Data Analyst (DA) job..." are just a waste of time. Editing past projects based on some of your suggestions. 3 yr DA in transition...
Thanks. liked & subscribed
glad you're here. have fun with the project refresh!
I subscribed from watching this video! Super helpful! I just quit my IT Manager job since I'm moving to NYC and took it upon myself to finally take the step into my dream industry (data). Do you have any resume templates? Will also be attending your free workshops this month!
awesome, see you there :) check out my resume video for some practical tips there. i be working on releasing a resume template soon!
Can you share your github as reference?
Hello Can I get the same editable template please?
Hi Christine, I really appreciate the knowledge and insights you share to us in this video
I truly learn a lot, even take a whole notes and action plan based on your video, you are truly an insightful mentor.
I have a clear vision on what to do with my project to apply a job from your explanation, but i can't find the project you mentioned in the video in your github, i want to know whether it's available for public or not.
Once again, thank you, looking forward another lessons from you.
Regards.
thank you for the kind words! the project isn't available publicly at the moment - i need to do some cleanup so it's in its best shape before people start using it as an example. this is on my to-do list after things get a bit less chaotic for me in the next week or so - thanks for the patience!
Hi Christine, this was a very informative video. I am a computer science graduate, a fresher with a career gap.. I want to start out in Data Analysis now for my career.. what should be a timeline to study and prepare to get a job in 6 months?
watch my roadmap video :)
Hi Christine, fantastic video. In my portfolio for most projects I utilized chatgpt and other tools to do the actual coding, I justified this by thinking there's business value in figuring out how to assemble a good project even with technical skill based limitations. Is this a poor practice and would this not be taken well by hiring managers? I would appreciate any answers you could provide. Your photography is great BTW, very unique brand you're building here.
thank you and thank you!
this is an interesting question. i'd say it's okay to say you used chatgpt to build the dataset, but this isn't directly applicable to the job since we don't actually "officially" use chatgpt on the job a lot (data privacy issues). it'll be more important to highlight the business relevance of the insights (who would the project have been for? what are the insights you discovered)? and leave the chatGPT stuff as a secondary detail.
If frontloading information and business questions are of the most importance for someone building up their portfolio, the bad examples should have been saved for the end. The video is not designed for people just starting, but instead for viewer retention. It would be more helpful to have more information on "interesting" datasets.
still learning the ins and outs of youtube - it's my second vid :) thanks for the feedback!
That google drive stuff was helpful
Thanks for helpful information, switching career from engineering to data analytics. Is google data analytics worth to get ?
it's fine as an introduction to analytics, but it's far from teaching you what you need for the actual job and recruiters don't look for the certificate (i actually recommend not including this on your resume). applied experience and projects with real business insights are much more important.
It was such an informative video as compared to what other youtubers. Can you share some guidance for Data Science new grad folks too, if you can???
almost all my advice will apply to data science grads as well - it's the same skills, but you'll have to emphasize more experience with python :)
This is great. Thanks for the share. Neat, clean and simple to understand. I'm always showing my learning project before this and I need to change that. 🙏
you got it!
I have been looking for months. You are telling the key information. As I worked as business consultant and business development manager, I care more on the report, result, how rather than how to use excel or sql..
exactly! you get it
Really great content, applies to accountants and financial analysts too. Keep up the great videos! Btw I also like your websites conversion funnel.
thank you!
Is it possible to get a data analyst as I graduated with Engineering degree without working experience?
Should I find a data-internship or work in engineering field first to get experience and transition myself later.
i recommend exploring options that will get you relevant experience as soon as possible; an engineering internship (which has a direct bridge from your degree) is a great next step. you can also land a data internship directly from an engineering degree if you have data analytics qualifications and no gap between your grad date and working experience.
This is very helpful. Thanks
Glad it was helpful!
Never seen such a clear video- mentor me!
Informative 👍. Consider me your 500th subscriber
whoo! thank you 500th sub
wow ! , this was really different from the USUal crap that data analyst TH-camrs sell . Thank you for the insightful things real world actually uses . thank you Christine
haha! very happy to hear that - thank you, happy to help
Should I create a new github profile just for DS portfolio? I already have a github account but its mainly for Web Dev & Game dev stuff
i'd recommend keeping it separate - you want to show a targeted intention and focus in moving into data
ohh okay gotcha! Thanks for your input!
Great thanks
thank you Christine! this vid is extemely helpful!!! :)
yay i'm happy to hear!
Thank you so much ❤
You're welcome 😊
This is really helpful as I'm at the point of building my project portfolio. I've already made some adjustments with the information you shared. Thanks so much.
awesome :)
A very very usefull video, thank you for sharing your knowledge and experience! Waiting for more content from you :)
it's comin!
Great Video. Every person trying to get into the industry should see this video.
thank you! i would love that ;)
I’m still considering data analytics as my second career, thank you for these very helpful insights, I really appreciate the content you have created.
happy it helps!
This is an excellent video! Please keep making them. Subbed
thank you! more coming :)
Super helpful video Christine! I will recommend your video to the students I know!
oh thank you! i'd love that
This video was super impactful and well organized. I am currently working on my portfolio projects to break into the industry as a Business/Data Analyst. Really happy to hear that I am on the right path choosing real world projects that highlight the process of extracting business insights, but also you made some really helpful points that I am going to use to make the most of my portfolio. Thanks for sharing!
that's awesome to hear!
Thanks Christine. I feel so lucky stumbling onto your video on TH-cam, just when I am building my portfolio. I finished creating my website and now I need to fill it up with projects. Listening to your suggestions gave me more direction on where to focus. I'm still overwhelmed by the number of projects out there, and I have a difficulty choosing which projects to do. I want to look for full stack projects, but at the same time, I don't feel equipped with the necessary skills yet.
i hear you, one of the hardest things with projects is knowing where to start. i'll try to do a deep-dive video on how to take the next step with projects
@@christinejiangdata A deep-dive video on taking the next step would be incredibly helpful. You already mentioned some great criteria for a good project in your video, such as answering a business-relevant question, focusing on key business metrics, and integrating essential skills into the system.
What is an example of a good project and the kind of tech stack that could be used? I'm curious and would love to hear your thoughts in a future video.
Thanks and take care for now.
@@jaspersomaek taking note. thanks jasper!
Such a great video for someone looking to begin their data journey. So different and helpful than 90% of big channel content surrounding data!!
thank you! if there are any specific topics you're looking to dive into, lmk!
Great job, thanks!
Hello, can I get github link please
I need to clean the github up a bit so it's ready for public use, but I'll send it in a future newsletter about projects (feel free to sign up here!) the-analytics-accelerator.ck.page/e8ea5df762
Awesome video, thank you!
Amazing video thank you so much! I am in grad school for data right now pivoting careers so this is super helpful. I would love to see more videos on making interactive tableau dashboards in the future. Like tips and tricks to make showing projects more interactive and applicable to businesses and hiring managers. You rock!
mmmm yes hear you. putting it on the list
This is SO helpful - you deserve a lot more views!
thank you! i just started, so i'll be patient :)
@@christinejiangdata all the best to you!
Thank you
Great video. Excited to learn more!
excited you're here :)
Thanks!
Wow this was amazing said and in detail.
i appreciate it angelica :)
@@christinejiangdata Please do more impact project statements and resume sentences examples with the before and after, as you did in the end of your last video. I’m having issues writing general sentences like Conduct research and then created reports( I’m in marketing), and I’m job hunting at the moment.
Thank you in advance if it is possible 💡❤️
@@AngelicaDFranklin Got it! So more concrete examples of how to translate non-data experience to data hiring managers. 1) Check out my resume video and 2) I'll definitely include more concrete examples in the future then - sounds like you're talking about portfolio projects and past work projects in particular.
I currently get stuck on my portfolio then I see your sharing. It's incredibly helpful, simple and worth every second. I will digest all of your video and look forward to your future sharing. Thanks a lot 💙
that means a lot to me :)
Thank you dear, but i am not able to find your github account
Hello Christine! As an aspiring data scientist who is self-taught, I have found essential insights in your content that were new to me. Your content enables people like me to forge our own paths. Wishing you health and success in your endeavors. Regards.
self-teaching data science is no easy feat, so kudos to you. thank you for the wishes!