Top 10 Data Science Videos on Youtube

ytYoutube apparently will be the learning environment of the future. That is why we look for the 10 most viewed videos, and published during the past 2 years, containing the word ‘Data Science’ in the title. Note that the main questions behind the most common queries revolve around “how to become and what is a data scientist” and “where is the future of data science”. Take a look at the below list to see the top 10 videos:

1. Introduction to Data Science with R – Data Analysis Part 1 (views: 276K)

David Langer, Senior Director, BI and Analytics at Microsoft, holds a series of in-depth, hands-in tutorials on data science using R, going through the evergreen of Kaggle’s competitions: Titanic 101. The visuals, from a communication point of view, are simple and effective for the purposes of the video: a classical screencasting with audio narration.

2. Predictive Modelling Techniques | Data Science With R Tutorial (views: 125K)

The 3 hours, 10 minutes and 35 seconds tutorial offered by Simplilearn holds the second place of this most-watched top-10. It is quite impressive considering that the average length of the top 50 YouTube videos is roughly 3 minutes. The video is the fourth part of a series of tutorials that offer both a hands-in approach with some explanations on the theory behind predictive modelling. It covers the main types of regression models and some of their applications through some case studies. A slow-paced, screencasting with a narration (that sometimes might result a bit monotone), but perfect for beginners.

3. Data Science Tutorial for Beginners – 1 | What is Data Science? (views: 94K)

The third place is hold by another tutorial on Data Science using R, Apache Mahout and Hadoop framework. This first part of the series of tutorials hold by Edureka!, gives mainly a more speculative introduction to Data Science (what Data Science is, the problems it tries to solve and prospects), Hadoop framework, R and machine learning using Mahout, ending with a more hands-in approach. 2 hours, 32 minutes and 55 seconds. Most watched videos on Data Science definitely seem not to follow the typical YouTube golden-rule for length.

4. Data Science: Where are We Going? (views: 87K)

Dr. DJ Patil’s speech at Strata + Hadoop O’Reilly’s conference starts with the special message of President Obama advocating Data Science. This is the first video in the top-ten that delivers a broader picture on Data Science, its culture and possible impacts rather than a “how to” tutorial. The style is definitely engaging, with Dr. DJ Patil highlighting some critical points on how to unleash the full potential of Data Science in business and society. A must-watch if you are interested into “the bigger picture”.

5. Data Science – Part I – Building Predictive Analytics Capabilities (views: 76K)

A video lecture in a series about “how to build a modern analytics approaches” for individuals and professionals who don’t have a background in Data Science. The style is simple and clear: a 1 hour and 52 minutes of screencasting with audio narration. The video is an overview of the models and techniques related to Business Intelligence topics, predictive analytics and big data technologies (i.e. Hadoop) with some cases to show the potential of analytics in a business context.

6. How To Become A Data Scientist — SF Data Science (views: 67K)

The video is the recording of a presentation held by Ryan Orban and Dennis O’Brien of Idle Games “becoming a data scientist”. Ryan Orban offers an overview of what Data Science is, why the need of it, the different possible pathways to follow in order to become a Data Scientist (MS/PhD in Data Science, internships, self-study and immersive programs) and the disciplines embedded in Data Science. Dennis O’Brien’s presentation is about “What it’s like being a data scientist in a small startup”, sharing his learnings and insights with the audience.

7. Data Science – Eindhoven University of Technology (views: 58K)

A dramatic advertisement by Eindhoven University of Technology on their new programs in Data Science. The communication style is cinematographic, using computer graphics to mimic a sci-fi action movie, resembling to Minority Effect and Inception, through the use of technologies like Oculus rift and multi-touch interfaces.

8. Gigs: A day in the life of a data scientist (views: 62K)

RCRtv takes a look at a day in the life of a data scientist at the AT&T Foundry in Plano, Texas.The video is an interview to the Senior Data Scientist Karthik Rajagopalan that answers to the questions: what data science does, background, how to stay on the cutting edge, tools adopted and some final advice for aspiring data scientists.

9. Data scientist vs Data analyst , their roles and qualification (views: 50K)

A screencasting video from Bigdata Simplified about the difference between data scientists and data analysts. The video stresses a lot on how the data is generated, its value and how to unleash its power, ending on what characterises a data analyst and what instead is peculiar of a data scientist.

10. The Future of Data Science – Data Science @ Stanford (views: 39K)

Dr. Euan Ashley, Associate Professor of Medicine & Genetics at Stanford University, Dr. Vijai Pande, Professor of Chemistry at Stanford University, Dr. Hector Garcia-Molina, Professor of Engineering & Electrical Engineering at Stanford University and Dr. John Hennessy, President of Stanford University, all together for an almost 26 minutes interesting conference on Data Science. The questions they try to address are, i.e.: how real is this emerging discipline? What opportunities and challenges does it present? How can Stanford nurture data science in research and education?

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