Пікірлер

• 
  @RaymondMares10 сағат бұрын

  I haven't even gotten very far yet but I'm blown away by the amount of your contribution to helping us out, thank you!

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  @cusescholar358211 сағат бұрын

  Literally the most dichotomous teacher ever. Either his explanations are perfect or trash. When we got to the Visual Studio, if it wasn't for the internet, I would have been lost. Everything is out of order, and made this section more difficult that I had to be. Come, Luke. You are better than that.

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  @MB-kg7gp15 сағат бұрын

  Heyfriend pls help...I just enrolled for data science course i need to buy laptop in 1 or 2 days.. I want to buy dell but can't afford XPS.. Can u suggest me in Inspiron. I want to buy below 1078$

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  @RejoiceMatthew-fx6xm15 сағат бұрын

  why cant i download the basic chapter datasets

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  @fazrikurniawan964318 сағат бұрын

  God bless you, Luke

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  @LeonardKoreКүн бұрын

  so not good enough

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  @im44852 күн бұрын

  Wow tableau really sucks for this

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  @FeverYonge2 күн бұрын

  Those technical nerds in the comments below, admit it you don't have the soft skills for the job lol

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  @ahmedmaher14652 күн бұрын

  Anyone has the solutions ?

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  @ArthurBotis2 күн бұрын

  Not only was this a thorough explanation of the concept but the content was also engaging, love The Office. Thanks!

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  @petebytes50102 күн бұрын

  I switched from Mac to PC wanted NVidia GPU for ML work. WSL running Linux and VSCode is fantastic. Also PC notebooks are way more upgradable, more memory more storage as needed.

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  @visapesonen71002 күн бұрын

  Hey Luke, I have been creating data dashboards and small reports with an inhouse developed plarform for an decade. I know SQL basics and have created some Tableau reports too for time series analysis. I have also been programming over the years and currently learning Python. Doesn't that mean I'm quite close having the needed skills? I never had thought about that really, I'm in more like IT support work atm. So I pretty much now need to hone my skills a bit and prove muself to recruiters e.g. by making a portfolio?

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  @mohamedseraj41982 күн бұрын

  big Cs ♿️

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  @Robin.Backer2 күн бұрын

  Sick video! But it's pronounced data, not data

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  @Ashley-gi1vt3 күн бұрын

  I made macdonald order app in python..can i be a data analyst?

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  @steveRyk5703 күн бұрын

  I'm soon to start courses with coursecareers and excited about this new era of my life. This video gives me even more energy.

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  @chojay133 күн бұрын

  How is this FREE?!? Holy moly, this is fantastic. I've been looking into Data Analyst stuff this evening (looking for career change/expansion) and you and this course were referenced in two different places I ended up. And I can see why. And your "paid" stuff is $25??? THANK YOU for what you're doing.

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  @cyclingsandiego4 күн бұрын

  Great video, thanks!

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  @bit-oliver4 күн бұрын

  👌

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  @ak-uj2sy4 күн бұрын

  What about data safety ? Doesn't chatgpt process later on that amount of data and feed itself with it ? Nothing is for free.

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  @ahrdal5 күн бұрын

  It seamed as if they were taking screen shots of GDP-data from several countries, and just using extrapolating them into the future with various time-series methods. That does not constitute.a forecast of GDP growth, you need to analyse much more types economic data for that.

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  @brandonsager2235 күн бұрын

  They forgot data scientists

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  @anna1575 күн бұрын

  At 1:06:20 does anyone know how to resolve the first exercise? I just can't figure it out Thanks to anyone who will explain it to me :)

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  @felipesalazar47636 күн бұрын

  the last part is so painfully true

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  @Chrisbit16 күн бұрын

  Which is better to learn, Excel or Google Sheets ?

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  @astroboy_556 күн бұрын

  Stakeholder: I fired Larry because I can task GPT to do data analysis. Now GPT what amount of sales do I expect in the next quarter for the new shop in district 11. GPT: In order to find sales expected values you have to *proceeds to write 10 paragraphs of procedures*. Stakeholder: No no no, you do it. GPT: I don't have access to the files. Stakeholder *rings old data analyst to ask which folder the files are in* *No response*

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  @ray17338 күн бұрын

  I always think that Data Analyst job is one of the jobs that will be impacted by AI soon. Data analysis task should be in the hand of the decision maker. So the analysis and the result will be more personalized, human error would be minimized. AI should help decision makers to provide the information and insights they needed. AI-assisted tool should be able to serve most of data analysis requirements. Gen AI won't replace data analyst job, but it will surely change the job desc and reduce the number of analysts needed. I don't think the same applies to data engineering job though. Issue regarding privacy and security won't be a problem, as option to use on-premise LLM model exists, so it can cater companies with stricter data security requirements.

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  @JonathanRose248 күн бұрын

  The difference would seem to be in knowing what questions to ask. AI will outperform humans when given specific questions, so you will need to find yourself in the position of being the one to determine the specific questions. Otherwise your job will be at risk

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  @stanislavsidorovich62429 күн бұрын

  Very interesting summary

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  @George-vk8mi9 күн бұрын

  I recommend to buy the course. It makes it away better in terms of understanding the whole framework and is easier to take notes by yourself. GIVE IT A TRY! 🤓💻

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  @petehboy29 күн бұрын

  I've been ordering in too much

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  @No0dz9 күн бұрын

  Domain knowledge is the last moat between you and AI taking over your job. I've never been so glad to be part of a secretive cabal that intentionally obfuscates and hoards knowledge. Our guild will survive

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  @Eileen1399 күн бұрын

  ERROR 113 -- INSTEAD OF 13--

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  @mabd109 күн бұрын

  1:10:03

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  @sweetypie23459 күн бұрын

  Helped me understand if calculation here. Just a quick question - why did you choose IIF statement and not the IF statement?

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  @crystal14w9 күн бұрын

  Does this mean, if ChatGPT requires companies to pay more money for queries, then we can have our jobs back? It makes more sense for them to raise the prices in the future so the price of hiring a human person will be a cost savings.

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  @svenvanwier719610 күн бұрын

  here in europe we all use whatapp in safety... and I know in some parts of Asia viber or something is quite popular. nobody texts anymore right?

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  @ampersignia10 күн бұрын

  Non-technical staff will ask the wrong questions and misunderstand the results.. I only see this being used to fend off random asks you get from stakeholders. It doesn’t account for databases with inconvenient formats or historical inaccuracy (which is often in the table overview written by a human but not as obvious from a relational diagram).

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  @pocha917210 күн бұрын

  Could you please give a comparison between MicroStrategy vs looker vs power bi?

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  @shunshi3411 күн бұрын

  So instead of having team of 10 people for the task soon team of 2 will do the job a little bit better. What to do with 8 people who were removed? Well we have a ww3 going on right now. Enlist in military is a good idea.

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  @ajcarpinello276811 күн бұрын

  Can somebody please explain how to handle the git "Tell me who you are" Error???

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  @AwsAbusamak1344211 күн бұрын

  2:06:55 data base load

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  @pastramiking11 күн бұрын

  Posing the right question properly is the most important role of the analyst. These questions were already posed and rather stupid to be honest. Who gets paid 90k per year to be a mindless bar chart maker?

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  @captnmaico677611 күн бұрын

  The study is pure bullshit. Who writes the prompts? A human with fucking knowledge of the database and what to ask about. Its like comparing a calculator to a human or wolfram alpha, ofc the calculator or wolfram alpha are much faster and more accurate... Also who can verify its right or wrong, a yes a human with knowledge... Useless garbage science.

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  @mapi5555512 күн бұрын

  Interesting sample size 😂.

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  @JuanCoolDad12 күн бұрын

  What's the best route to learn SQL fairly quick & most importantly, practice writing queries?

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  @keenshibe752912 күн бұрын

  LLMs are extremely good at doing simple, isolated tasks that are clearly defined. Definitions are in the form of clear parameters set out by user prompts. That being said, it's only for short repetitive tasks, and also at the risk of not providing enough context, prone to errors due to that or other factors such as unreliable external data, hallucinations, misunderstanding. Thus, they should always be a tool and require human reviewers for the outputs. For example, image recognition has been developed for X-ray scans for diagnosis, but human doctors still have to review them as they are prediction models and not absolute. The same thing goes for data analysis, outputs requires SMEs to review them. Does this affect the junior workforce of DA? My guess is that it will likely it will, depending on the company. Analysis work is not finite. Having more efficiency does not mean there will be a lack of work. For example, SaaS products such as Tableau and PowerBI are simple to use for non-technical users, but it simply changes the way data professionals work. LLMs will be likely to be part of the workflow of many professions, including DA, but not replace them. Smaller companies that have a tight budget might use LLMs instead of hiring DAs as the expense really affects them, and they just have to deal with the downsides. But larger companies are aware and want good reliable intelligence as they want to have a competitive edge over other companies. The tech field has always been constantly changing at a very fast rate, with many technologies such as blockchain, cloud, distributed computing, SaaS, IaaS, PaaS, etc. And AI is going to be the next one to rapidly shift the industry. Professionals will have to adapt and embrace new technologies or be left behind. That's how it has always been. Tl;dr: introduction of LLMs will decrease demand for smaller companies without budget, but bigger companies are aware of the downsides and need human SMEs to review the data. Demand and supply rise and fall due to the hype. Gradually, people will understand the limitations of AI and what it does well and not. For anyone reading all that, thank you. I appreciate any counterarguments and criticism! :)

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  @philipp563612 күн бұрын

  To put it plain and simple: Query and plot is not what a good Analyst is doing. The majority of the work is figuring out needs and blindspots, building an analysis plan or even start a data collection project, than building pipelines to get all of that data into one place. After that, figuring out what questions should be asked and than at some point serialising all of that into a product. AI in that context is „just another“ query language.

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  @jofujino8 күн бұрын

  Yes, I agree, but I'd also add on not just gathering or analyzing the data, but also cleaning the data that I find takes the most time. Maybe my work just has a lot of data quality issues (a lot of it is manual from a variety of sources that don't all track or report things in the same manner or consistently), but I would never trust ChatGPT to identify and attempt to fix issues in a dataset or to check a messy join to see if it's "good enough" or could be made better. ChatGPT generally needs to be told exactly what to do, but no one's going to know what the problem is until they open it up and start exploring the data. You need a human being to identify problems and prescribe solutions and then maybe ChatGPT can help speed up data cleaning or revalidation by automating some steps. It's still (and I think for a very long time) going to be at best an assistant at certain steps in the process.

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  @melkorbane12 күн бұрын

  This is more a referendum on universities and job titles than anything else. When you get a job as a jr. data analyst out of a university you have no skillset. Real data analysis looks basically nothing like your homework or tests. It shouldn't be surprising that GPT 4 is better than a Jr. Data Analyst because they literally function exactly like the model with severely less data processing capabilities (they search the same internet the model was trained on for answers to questions they have no idea how to answer on their own). Senior data analysts aren't much better. They typically have 2-3 years of experience doing Jr Data Analyst work described above and have only just started learning enough to be more useful than Google. Most companies have you working on crap that isn't honing your skill so the in the 2-3 years you've probably only logged a few hundred real hours on the skill craft necessary. I'm honestly surprised GPT-4 didn't do much better than seniors too. The solution to AI is Universities are going to have to get their sh** together or we'll have to go back to an apprenticeship model of learning. AI isn't the source of the problem that low-no skill labor doesn't add much value and is an investment. It's a new phenomenon that people with no skills should expect to make $150k/yr. People with no skills are and always have been an investment. Instead of spending 50+ hours/wk in college doing BS, a sane society would have workers spend 50+ hours/wk working for free (or as little as an AI) developing a skill that makes them useful. I don't think GPT 5 or 6 or 10 is going to beat Principal level Data Analysts with 15+ years of experience. Because the real truth is that Expertise is about the intuition you develop to solve problems that don't have obvious/recorded solutions already. And while future GPT's will be able to develop similar levels of "intuition" (they're already showing signs of it) the hallucination problem absolutely is not going away.

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  @atifmohd10212 күн бұрын

  How much time it to take to learn all these thing if someone from non tech background?