Data Science: What is it?
Data Science is a process, not an event. It is the process of using data to understand different things, to understand the world. Data science is the art of uncovering the insights and trends that are hiding behind data. It's when you translate data into a story. In data science you visualize the patterns in the data and those patterns tell stories that generate insights. With these insights, you can make strategic choices and develop innovative solutions.
Video 1
Title: Maternal Mortality among African Americans
Link: https://youtu.be/FwgwW6W3F14
Length: 10:14
Description Summary: Demonstrates the power of data in making a problem visible.
Main takeaway: This video serves as a springboard to learning about data science by illustrating the power of data.
Video 2
Title: Intro to Big Data: Crash Course Statistics #38
Link: https://www.youtube.com/watch?v=vku2Bw7Vkfs
Length: 11:22
Description Summary: “Today we're going to focus on some ways Big Data impacts on our lives from what liking Hello Kitty says about us to how Netflix chooses just the right thumbnail to encourage us to watch more content.”
Main takeaway: The value of big data. One reason it is called big data is because of how much data is collected. Big data is collected and used in many unseen ways. It is used by private companies for many different purposes and it is practically unavoidable to contribute to big data if you use any form of technology. It is also used in other countries to address bigger issues such as traffic.
Video 3
Title: Big Data Problems: Crash Course Statistics #39
Link: https://www.youtube.com/watch?v=Im3GkAYUivE&feature=youtu.be
Length: 12:50
Description Summary: “There is a lot of excitement around the field of Big Data, but today we want to take a moment to look at some of the problems it creates. From questions of bias and transparency to privacy and security concerns, there is still a lot to be done to manage these problems as Big Data plays a bigger role in our lives.”
Main takeaway: For big data to be of greatest benefit, it must be as representative as possible. While Big Data can be very useful, it is also very important to be aware of the potential dangers and problems related to Big Data. This video highlights an example of how producing algorithms from huge amounts of data can introduce bias. It also highlights the issues surrounding privacy and the responsibilities that big companies have in protecting our data. The ultimate goal of using Big Data is for good despite issues and risk associated with the use of Big Data.
Video 4
Title: Big Data for Social Good - UNGA 2018
Link: https://www.youtube.com/watch?v=35HeMhwpR4o&feature=youtu.be
Length: 2:33
Description Summary: This is a brief video highlighting how companies are using big data to address big issues and challenges across the globe.
Main takeaway: The mobile industry is partnering to use Big Data to develop solutions for global issues such as infectious disease, disaster, environmental impact and climate change. The mobile partner taskforce and global partners and agencies including UNICEF are collaborating to make a more immediate and sustainable impact.
Video 5
Title: Data Science vs Big Data vs Data Analytics | Simplilearn
Link: https://www.youtube.com/watch?v=yR2wWQYiVKM&feature=youtu.be
Length: 1:39
Description Summary: “In this video, we will differentiate between the Data Science, Big Data, and Data Analytics, based on what it is, where it is used, the skills you need to become a professional in the field, and the salary prospects in each field.”
Main takeaway: Data Science, Big Data and Data Analytics are distinguishable from each other. This short video compares the unique ways in which the different fields define themselves based on what they are and what they do as well as which industries you can find them in amongst other career-related aspects.
Video 6
Title: "Data Science: Where are We Going?" - Dr. DJ Patil (Strata + Hadoop 2015)
Link: https://www.youtube.com/watch?v=3_1reLdh5xw&feature=youtu.be
Length: The first 2 minutes of the 12:59 video
Description Summary: “Data Science, where are we going? What impact can we expect? A special introduction from President Barack Obama for the U.S. Chief Data Scientist, Dr. DJ Patil.” WATCH ONLY THE INTRO FROM President Barack Obama
Main takeaway: For the first time in U.S. history, the Obama administration opened up massive amounts of data (open government data) for the public with the ultimate goal of driving new data-based innovations. In this short clip, President Barack Obama introduces the first Federal government’s first Chief Data Scientist.
Video 7
Title: The NBA Data Scientist
Link: https://www.youtube.com/watch?v=MpLHMKTolVw&feature=youtu.be
Length: 8:05
Description Summary: “With her PhD in math, Ivana Seric had expected to wind up with a career in academia—but thanks to the growing use of statistical analysis in the NBA, she took a job with the Philadelphia 76ers instead. As a data scientist, she helps the team's coaches devise smarter strategies to win. Next Jobs is a mini-documentary series about careers of the future hosted by Bloomberg Technology's Aki Ito.”
Main takeaway: This video explores a unique career opportunity for a person in the field of Data Science. As an NBA Data Scientist, the video shares how Ivana Seric supports the team from behind the scenes to contribute to a profound change in the game of basketball reshaped by analytics and using data to help develop strategy for the coaches. This video shares just one example of how one could find themselves in a career merging data science with other nonscience fields/interests.
Video 8
Title: What are the different roles in data science?
Link: https://www.youtube.com/watch?v=00xLZuxTzQc&feature=youtu.be
Length: 7:17
Description Summary: “There are so many roles in data science, that it's often difficult to get a clear picture of who is doing what. In this short video, it presents a clear overview of all the different career roles that contribute to data analysis and data science.”
Main takeaway: A data science team is comprised of many different roles. This video uses the example of risk assessment by an insurance agency to model how a data science team would be constructed with both unique and overlapping roles. It emphasizes the need to think about the different skills required when constructing a data science team.
Video 9
Title: What is Data Science? [Data Science 101]
Link: https://www.youtube.com/watch?v=z1kPKBdYks4&feature=youtu.be
Length: 2:37
Description Summary: “In this video, we will meet some data science practitioners and we will get an overview of what data science is today.”
Main takeaway: In this short video, you will hear directly from data scientists about how they define data science, why it is relevant today and why it is the ideal time to have a career in data science.
Video 10
Title: Applications of data science [Data Science 101]
Link: https://www.youtube.com/watch?v=l5lFXSqRv4s&feature=youtu.be
Length: 6:28
Description Summary: “In this video, we will meet some data science practitioners and we will get an overview of how they are applying data science in the real world.”
Main takeaway: Data science is part of many exciting applications and despite the risks associated with data, it has great potential to impact change. This video references how data analysis is being used in a huge global study targeting developing parts of the world to measure the social impact on economy and poverty rates and as a result to develop relief effort plans.