Conclusion of Introduction: Next Steps 1:36:33 Data Sourcing 1:39:45 intro 1:40:35 measurement: metrics 1:46:49 measurment: accuracy 1:50:40 measurement: social context 1:54:17 getting data; existing data 2:01:26 getting data: api 2:07:50 getting data: scraping 2:13:09 making data: 2:37:07 data sourcing conclusion Coding In Data Science 2:32:42 intro
That's very important when you have along video you have to have an index so the people don't get bored, that should include the time in each subtitle, a thing that you have to correct.
This is my first time in data science. I've listened to thousands of lectures in my life. Barton Poulson explains it very well, in a very understandable and motivating way. Thank you very much to him. I recommend to those who want to take this course.
@@vengalrao5772 I would say it is. Though he gives working examples of hte methods and tools he talks about but even if you cannot actually use it yet you get a grasp of what it is, how it works and whether you need to learn it. To me the course seems fantastic - I now know which direction to move further, which elements I already know and which I need to learn.
8:41 diagram venn 15:08 DS pathway 19:40 role of DS 23:41 team in data science 48:37 Method 1:02:22 statistic method 1:06:20 ML method 1:09:00 communicatting (interpretability etc..)
I got into data science through nursing, I was an ICU nurse looking for a hiatus in the job, that’s how I broke into the field, via the hospital system but I do have a secondary degree in bio chemistry which helped significantly on the quantitative side of things. Bio statistics is a staple in an biochemistry program and if anyone else’s prof’s were like mine, you’d swear they were teaching engineering in the amount of quantitative topics I was put through. I was however very weak on the he business end of things and had to be paired with someone for about a solid 8 months. But it was an awesome transition to another career.
I am only 2 hours in but I LOVE the way you demystify what I once thought was so out of my league/ability and perhaps interest as well. Thank you so much!!!
Hey cassandra, was this helpful for beginners? I want to start, and i needed to know whether this is where u started or there is another video i may watch to begin before this
This is the only RU-vid video that I have ever commented. I think it is simply brilliant! How easy is to understand with the explanation and the speed of presentation is simply amazing
I'm deeply moved with this presentation. I spent some 40 years in various IT areas, ending up as an IT manager and retired. Now I'm 81 years old. During my IT career, I had always put questions to myself: what all this IT complex is for? Any goal for all these IT things? The answer is here! Thank you, Dr. Barton.
I have gone through the whole video and am really grateful for the time you've invested in this. The vivid pictures and friendly speaking pace were truly refreshing and helped balance the ubiquity of the text. Cheers from Abidjan!
please try to upload some basic projects of how data scientist do their work professionally in the industry it will literally help students to learn in real time.
A fully-worked example project would be wonderful. Is there a particular kind of project that would be most useful to you? And is there a language that would be best?
@@datalabcc all the jobs that are link to data uses python quite vast so working and practicing every attribute of this language helpful and beneficial for all the novice students for instance we know how to manipulate basic data set with some python commands but we dont know all the working stages of data scientist or data analyst in the real time industry and how a project is to be done and what possible outcomes does the industry make after when a data scientist completed their job on a given data set and what makes them worth to earn thousands of money believe me this gonna work like a big motivation for the students.all in all let me give an example take basic data set like uci-iris and do all the necessary work on it upto maximum extent and what possible results comes out from this especially what we looking in it and why and how to make final report of any particular data set after completing it and what decision could be made when the company manager sees it.
I'm not gonna lie, there is no chance I'm going to watch all of this, but from what I've seen so far, this is an AMAZING beginners guide to understand every facet of data science. Thanks for this awesome resource. I'm excited to see more resources popping up showcasing more projects and real world experience beginners can learn from
I came from a business school, fell in love with statistics, and decided to become a teaching assistant there... Little did I know back then that it's the reason why I'm in this data science rabbit hole. And I'm loving it so far!!!! Edit: Just discovered I'm on the rare category. 🤯
@@datalabcc Thanks for this incredible lecture. I was wondering if you could also let me know where I can get the data sheet (excel) from. I did download a few samples from Kaggle as you suggested, but was hoping to work on your datasheet first and then on the rest. Most of the ones on kaggle do not have a defined datatype in the rows. So it's being a bit tricky there especially the ranged columns.
This is a great video! Very well explained concepts. As an established data scientist myself, it helps to have resources like these to brush up on my fundamentals. I also have a few videos on my channel that talk more about the experience working as a data scientist for those that are interested!
I did it , and survive So generous to have made this, Thank you ! the Plus , excellent narrative, but i would suggest to take a real life DATA science project and stick one by one the concepts you have patiently teach for 6 hours . if not the concept are TOO ABSTRACT to be RETAIN. OVERALL , Great but adding a real DATA science project from A to Z would be AWESOME ! Thanks
A fully-worked example project would be wonderful. Is there a particular kind of project that would be most useful to you? And is there a language that would be best?
Hi, In Part 3, Coding, Prof Poulson refers to downloading spreadsheets and other downloadable data to test with tableau, please can you give me the url so I can download them?
As a student of political science and international affairs with some background in anthropology and sociology, I was abnormally interested in this area, specially explained in such beautiful manner, but when you added the social sphere everything clicked, and hence why they are considering me for an internship. This would be fun if with a proper team.
Great course! Content is informative, well structured, and explained clearly. It is evident that Barton Poulson is very knowledgeable and his personality really shows through. His spirit is encouraging and I thoroughly enjoyed his humour. Keep up the inspiring work!
This Course is made more towards for what the real and practical advice for work that needs to be done in one video, not for actual learning of ML, DL, LLM, CV or really anything specific as a skill not exactly what I was Looking for.
Hello! I just finished the whole video and would like to say thanks! I hope this starts out my journey in learning more about data science. This provided a wide overview of the concepts, tools, and thinking that will be needed in DS. Without being daunting and yet not mind-numbingly dumbed down. Again, thank you!
Amazing course! I'm having a turn in my career after 10 years of school teaching, and this course is just what I needed to complement my studies in DS. Just an _errata_ : at 2:13:20 you mentioned "data de novo" as your personal expression for the concept of "new data". I don't know you if it meant for this expression to be extracted from portuguese language or latin, but if you took it from portuguese, the adequate expression should be "Nova Data" or "Novo Dado". In portuguese "de novo" means the same as "again" or to do something one more time.
This guy is motivating and teaching you data science in under 6 hours that no one could teach you. 10-12 ads are totally fair, others hire paid teachers and still can't understand a thing. This guy is making many's life. Watching this video before starting and between your data science career, you can be the data scientist that everyone wants. Thank you, Barton Poulson and Freecodechamp for this life-changing course.
Hey 👋.....Can an Msc Biotechnology Graduate learn data science and get certified and can they be hired by companies to become data scientist? Or only computer science background students can get this job??
@@Dariusrae45636You can be a data scientist if you don't even have a strong background from computer science. Even many people who are data scientist now are mostly from other fields, sometook enginnering fields and some took other.
This is excellent even for people already working in related fields because it talks about many tools and concepts they may have overlooked. The organization, clarity, and Paulson's breadth of knowledge are impressive!
I know this is a late comment, and I'm not sure how far along in your learning. That being said, my answer to you is this: fortunately, the programming fundamentals between Data Science and Software Engineering are interchangeable. However, it depends on how you want to use those programming languages. If you prefer building infrastructure and pipelines, full-stack websites, and data environments, software engineering is more for you. In contrast, if you enjoy cleaning and dissecting data, and optimizing company workflow with information being processed across several statistical measures, data science is more for you. Both are algorithm and math heavy, the deeper you go. From what I've seen/read (as I'm not someone there yet) at the higher levels, data scientists and data engineers choose which they want to prioritize. Both fields are highly attractive, highly sought, and highly necessary.
Please keep in mind that this course was originally published in 2016. It seems like it's a wonderful take on the foundations of Data Science, but some of the information may be missing and/or outdated.
Thank you all for an amazing video. Could you please upload a video how we can implement data science on real life data. Like using python or R programming with SQL and these concepts. thanks again.
Sir, you are one of the best lecturers whose class I've had the good fortune of stumbling across. Your philosophical backdrops and psychological insights made the experience ever so more pleasant and freshly original.
finished the full 6 hour course. very imformative . i was thinking of learning R for my research analysis. before that i thought i need some foundation on data science and i saw this video. thanks a lote❤
Half way in and this looks more like an overview than a training. Not sure you will learn data science by watching this but you will get the picture of what’s involved.
I spent over 10 years in marketing (Web analytics, A/B testing, Conversion Rate Optimization, online ads etc. - so basically I always was on this technical/business side of marketing) and 1.5 years with Python (web scrapping, automation) but I always sucked at math. Big time. Data Science and ML are extremely interesting for me, I can see many applications for my day-to-day work in marketing but I'm scared shitless of this math part :)
Michael, this is Bart Poulson, who created this course. It sounds to me like you already have most of what you need and, unless you're going into algorithm development, huge amounts of math may not be necessary. I imagine that your familiarity with analytics and experience with automation already does a lot for you. But what specific plans do you have?
Omg! I’m a psychologist that is interested in Data Science too. I thought that I was the only one. Even I’m learning English, in exhausting form, because there’s lack of information in Spanish. Thanks for the content and all your job in the channel!
Thank you ❤. I'm not a techy person. However the way you handle the material is so smooth, so compelling that my fears have disappeared and I'm ready to start learning
Best video ever for 360 degree understanding of the field of data science!! I’ve only watched 20-odd minutes, but already I have so much clarity. Plan to do the entire series. Thank you!
I have a comment! At 26:21, the graph shown for the team is somewhat not correct in the sense that the maximum skill level of one team member will determine the skill level of a team, not the sum of skill levels. Hence, Lucy and Otto still only quilify for Business and Graphics. In other words, for every skill level, there should be one person with a level above 8 in the team.
I’m a financial analyst right now but I already know SQL and Power BI. I’d like to learn Python and R so I can move to a role where I can combine my existing finance knowledge with data science
Quincy if u are reading this......We all campers really appreciate from bottom of our heart for whatever u r doing for us. I just want to say that nobody gives a damn if u start putting ads in between the videos. I have an ad blocker but for the sake of this channel I'll disable it, as that's the only way I can contribute right now and there are many more like me. Start putting ads.
First off, thank you for this course. This was a huge eye opener for me about all that goes into data science. They say you don’t know what you don’t know and I realize now that I don’t know much at all. I was really enjoying using SQL and Python to pull data down and “play” with it but after watching this entire video I think I need to find something else to do. This course was so incredibly dense with theories, concepts and terminology that learning this just feels impossible to me. Maybe if I had taken collage level algebra, statistics and calculus this may have been a great refresher but without that prior knowledge, this just seems unattainable. I thought that data annalist roles are less intense than this but now I'm just not sure about anything. Regardless of my ability to understand this, the video is amazing and incredibly well done. I’m sure it will help a lot of people getting into data science.
Drew, this is Bart Poulson, who created the video. It sounds to me like you're doing exactly the right thing. The math background is nice but far from essential. Curiosity about data, along with some facility with tools like SQL and Python, all of which you have, are an excellent foundation.
Thanks a million for this valuable information! I am looking for a career shift and want to go into data analyst or data science. I need some guidance.
A hearty thanks, ❤ I just completed my 10th boards, And was in search of a best career option for self with all the clarifications , And you this video, made me get it perfectly with no doubt remained in me , And really the ones who are contributed in makeing this video are psychologists, who actually knows how we (students) do think ! Really meant alot ❤❤❤
This is really good, very well put together, concise and easy to understand. I am totally new to data science and this has seriously got me considering learning about it further. Hopefully with a view of working in this field one day. Thank you
@@nicolasramirez865 RU-vid won't auto-subtitle any video over 4 hours, unfortunately. But we would welcome your help adding Spanish subtitles. There are several ways you can make the freeCodeCamp community's videos more accessible for Spanish-speakers: contribute.freecodecamp.org
