Learn Data Science Tutorial - Full Course for Beginners

Thanks to every single person who contributed their time to make this video.

Introducing Data Science 0:02 Data Science, An Introduction, by Barton Poulson 0:22 "Data Science is too techy" some people say. 0:44 Data Science is creative, using code/statistics/math tools, 1:05 to solve problems and get insight. 1:35 Everything signifies. Defining Data Science, What is Data Science? What do Data Scientists Do? 2:17 Data Science Is • Coding • Statistics • Domain Knowledge Promoting Data Science as Rare and Highly Demanded as a Skillset 3:11 Harvard Business Review. 3:37 + Rare Qualities 4:03 + High Demand + Competitive Advantage. 4:46 People need Data Scientists to work. 5:18 Learn how to speak the language of Data Science. 5:40 LinkedIn Article promoting Statistics and Data Science. 6:05 Glass Door Article promoting Data Analysis. The Data Science Venn Diagram 7:47 Drew Conway created The Data Science Venn Diagram 8:22 Coding, Stats, Domain Knowledge • Coding 8:44 • Statistics 9:30 • Domain Knowledge 10:59 • Statistical Coding • Database Coding • Command Line Coding • Search Coding 10:20 Math • Probability • Algebra • Regression + Math helps to understand the various problems dealt with in Data Science. Machine Learning 11:37 Black Box Models Traditional Research 12:27 Structured Data The Danger Zone ⚠️ 13:07 Coding and Domain without Math. Data Science Introduction 14:45 The Data Science Pathway Step 1 —> Step 2 —> and so on First: Planning 15:10 Second: Data Prep 16:10 Third: Modeling 16:58 • Ex. Regression Analysis • Ex. Neural Network + Validate The Model + Evaluate The Model + Refine The Model Fourth: Follow Up 17:45 19:00 Data Science involves + Contextual Skills + One Step At A Time Data Science Engineers, Database Developers & Administrators 19:55 Data Engineers 21:50 Business relevant questions. 22:20 Entrepreneurs, Data Startup businessmen. 22:44 Full stack “Unicorn” 23:44 Many Tools 🧰 Coding Statistics Design Business • it takes a team, although “the unicorn” could do it all. 24:44 Talent Assessment on 5 Areas of Data Science. 27:20 Similar but not the same. Big Data 28:33 32:50 Coding & Data 34:30 Data Science is NOT = Coding 37:39 Most Data Scientists are… 37:56 Data Science and Science both do Analytical assessments but in different niches. 41:06 Data Science and Business Intelligence Ethics in Data Science 42:44 Do not share confidential information without permission. 43:43 Anonymity 44:40 Copyright ©️ Data Restrictions 45:20 Data Security 46:08 Potential Bias 47:04 Overconfidence 48:03 Good Judgement is vital to Good Data Science. Data Science Method: How To Do Data Science Procedures 49:22 52:47 Interviewing, Surveys. 53:36 Metrics, KPIs, SMART goals, Classification Accuracy. 54:47 Coding in Data Science. 56:35 Coding Languages. 58:00 Data Science Math. 1:00:30 Elementary Algebra Systems of Linear Equations Calculus Big O Probability Bayes Theorem 1:02:00 Statistics 📊 Finding Patterns 1:03:00 Inference 1:03:40 Feature Selection, Model Validation. Estimators. How well the model fits the data. 1:06:05 Machine Learning. 1:07:39 Prediction. Communicating Clearly 1:08:55 Interpretability. 1:10:55 Egocentrism, put it in terms someone else can understand on that person’s knowledge. 1:12:15 State question Give answer Qualify as needed Go in order. 1:13:08 Simplify into the greatest value. 1:14:14 More charts, less text. 📊 1:15:20 There are details that color the data shown in the chart. Make sure to get those details to get the truth. 1:17:45 Be concise and clear. 1:18:40 Data is for doing. “We’re lost but we’re making good time.” 1:21:47 Social Understanding. • Mission • Identity • Business Industry • Context 1:23:30 Speed and Responsive Data Analytics 1:24:25 Clarity 1:26:15 Get the point across. 1:29:25 Simple Bar Charts answering 1 question each. Put together they lend support to a thesis. Reproducible Research “play that song again.” Show your work. 1:30:20 1:31:31 Open Data Science Conference. Matrix Algebra 4:07:24 Matrix Alge

You know what... with stuff this valuable... an Ad or two or 3 wouldn't be so bad.

For the one who did the subtitles, god bless you

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!

I got through everything and I have to say: thank you very sooo much for all the value you supplied us for free!!! This is just amazing

2:12:19 so far and cannot imagine how much effort these guys have put to make this. This is really a beautiful attempt. This is great. Thank you, FCC.

This has to be one of the best videos Ive ever seen. Ever. It was like listening to an interactive audio book. Thank you so much

How can you watch this and not leave a thumbs up? Brilliant, even for practicing ML engineers!

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

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.

Barely 10 minutes in and can already appreciate the time and consideration put into this video. Thanks so much.

I love that you call this a "movie". Thank you for all your hard work. This is great!

This is the only YouTube 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

The best tutorial on Data Sci Intro..hands down! He is a psychologist - he knows how to engage a student. Kudos!

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..)

One of the best introductions ever in data science and big data! Great job!

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!!!

1:05:41 so far it's the best and most clearly explained video on data science I've watched so far. Awesome job.

Just finished this 6 hours videos. Thank you for your kind sharing. Really easy to understand and very useful.