Data Science in Social Science (DSSS)
Data Literacy
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like Fourth Industrial Revolution 4.0 (IR 4.0) from social sciences perspective through the IR 4.0 pillars of Big Data (BD), Internet of Things (IoT), Artificial Intelligence (AI), and Augmented Reality (AR).
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Created by experts, Soulera Academy’s library for the first stage covers 7 courses in social science. Always free for learners. Language of teaching (English + Arabic)
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Course 2- Data Literacy: Data Science in Social Science (DSSS)
How to read, understand, search, collect, analyze, and visualize data
By: Dr. Osama Isaac — Founder
World-Class Education to All
Osama’s life mission is bringing back the soul, passion, and curiosity to education, with the dream to provide free, innovative and world-class education for anyone, anywhere with the focus in the Arab world. He is currently an associate professor at Faculty of Business, Lincoln University College (LUC), and founder of Soulera Academy.
Course DSSS Objective
– Ability to read, understand, search, collect, analyze and visualize data from social sciences perspective.
– Understand the Philosophy of Data and the Data Lifecycle.
– Ability to convert data to information and Knowledge which lead to more effective Decision Making.
– Demonstrate how data science lead to high performance organization.
– Understand, Demonstrate, and Evaluate the 2nd Generation Technique of Data Analysis (AMOS & SmartPLS) and 1st Generation Technique (SPSS).
Course DSSS Description
Course 2 (DSSS) contain 16 Sessions as follow:
Session 1: Data Philosophy
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Session 2: Data Overview
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Session 3: Data Lifecycle
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Session 4: Data and Decision Making
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Session 5: Data Science
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Session 6: Data Type
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Session 7: Data Quality
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Session 8: Data Classification
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Session 9: Data Search
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Session 10: Data Collect
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Session 11: Data Analyze - Introduction
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Session 12: Data Analyze - Vital Info Before Analysis
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Session 13: Data Analyze - SPSS
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Session 14: Data Analyze - SEM-SmartPLS
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Session 15: Data Analyze - SEM-AMOS
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Session 16: Data Visualize
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recommended talks
How data will transform business
Philip Evans, 2013, TED@BCG San Francisco
https://www.ted.com/talks/philip_evans_how_data_will_transform_business
What does the future of business look like? In an informative talk, Philip Evans gives a quick primer on two long-standing theories in strategy — and explains why he thinks they are essentially invalid.
How we can find ourselves in data
Giorgia Lupi, 2017, TEDNYC
https://www.ted.com/talks/giorgia_lupi_how_we_can_find_ourselves_in_data
Giorgia Lupi uses data to tell human stories, adding nuance to numbers. In this charming talk, she shares how we can bring personality to data, visualizing even the mundane details of our daily lives and transforming the abstract and uncountable into something that can be seen, felt and directly reconnected to our lives.
Why you should get paid for your data
Jennifer Zhu Scott, 2019, TEDWomen
https://www.ted.com/talks/jennifer_zhu_scott_why_you_should_get_paid_for_your_data
The world’s most valuable tech companies profit from the personal data you generate. So why aren’t you getting paid for it? In this eye-opening talk, entrepreneur and technologist Jennifer Zhu Scott makes the case for private data ownership — which would empower you to donate, destroy or sell your data as you see fit — and shows how this growing movement could put power (and cash) back into the hands of people.
Let my dataset change your mindset
Hans Rosling, 2009, TED@State
https://www.ted.com/talks/hans_rosling_let_my_dataset_change_your_mindset
Talking at the US State Department this summer, Hans Rosling uses his fascinating data-bubble software to burst myths about the developing world. Look for new analysis on China and the post-bailout world, mixed with classic data shows.
The best stats you've ever seen
Hans Rosling, 2006, TED
https://www.ted.com/talks/hans_rosling_the_best_stats_you_ve_ever_seen
You’ve never seen data presented like this. With the drama and urgency of a sportscaster, statistics guru Hans Rosling debunks myths about the so-called “developing world.”
How tech companies deceive you into giving up your data and privacy
Finn Lützow-Holm Myrstad, 2018, TED Salon: Samsung
Have you ever actually read the terms and conditions for the apps you use? Finn Lützow-Holm Myrstad and his team at the Norwegian Consumer Council have, and it took them nearly a day and a half to read the terms of all the apps on an average phone. In a talk about the alarming ways tech companies deceive their users, Myrstad shares insights about the personal information you’ve agreed to let companies collect — and how they use your data at a scale you could never imagine.
Teach statistics before calculus!
Arthur Benjamin, 2009, TED
https://www.ted.com/talks/arthur_benjamin_teach_statistics_before_calculus
Someone always asks the math teacher, “Am I going to use calculus in real life?” And for most of us, says Arthur Benjamin, the answer is no. He offers a bold proposal on how to make math education relevant in the digital age.
Turning powerful stats into art
Chris Jordan, 2008, TED
https://www.ted.com/talks/chris_jordan_turning_powerful_stats_into_art
Artist Chris Jordan shows us an arresting view of what Western culture looks like. His supersized images picture some almost unimaginable statistics — like the astonishing number of paper cups we use every single day.
The beauty of data visualization
David McCandless, 2010, TED Global
https://www.ted.com/talks/david_mccandless_the_beauty_of_data_visualization
McCandless turns complex data sets (like worldwide military spending, media buzz, Facebook status updates) into beautiful, simple diagrams that tease out unseen patterns and connections. Good design, he suggests, is the best way to navigate information glut — and it may just change the way we see the world.
Why you should love statistics
Alan Smith, 2016, TEDxExeter
https://www.ted.com/talks/alan_smith_why_you_should_love_statistics
Think you’re good at guessing stats? Guess again. Whether we consider ourselves math people or not, our ability to understand and work with numbers is terribly limited, says data visualization expert Alan Smith. In this delightful talk, Smith explores the mismatch between what we know and what we think we know.
3 ways to spot a bad statistic
Mona Chalabi, 2017, TEDNYC
https://www.ted.com/talks/mona_chalabi_3_ways_to_spot_a_bad_statistic
Sometimes it’s hard to know what statistics are worthy of trust. But we shouldn’t count out stats altogether … instead, we should learn to look behind them. In this delightful, hilarious talk, data journalist Mona Chalabi shares handy tips to help question, interpret and truly understand what the numbers are saying.
Visualizing the medical data explosion
Anders Ynnerman, 2010, TEDxGöteborg
https://www.ted.com/talks/anders_ynnerman_visualizing_the_medical_data_explosion
Medical scans can produce thousands of images for a single patient in seconds, but how do doctors know what’s useful? Scientific visualization expert Anders Ynnerman shows us sophisticated new tools — like virtual autopsies — for analyzing our data, and hints at the sci-fi-sounding medical technologies coming up next. This talk contains some graphic medical imagery.
How to use data to make a hit TV show
Sebastian Wernicke, 2015, TEDxCambridge
https://www.ted.com/talks/sebastian_wernicke_how_to_use_data_to_make_a_hit_tv_show
Does collecting more data lead to better decision-making? Competitive, data-savvy companies like Amazon, Google and Netflix have learned that data analysis alone doesn’t always produce optimum results. In this talk, data scientist Sebastian Wernicke breaks down what goes wrong when we make decisions based purely on data — and suggests a brainier way to use it.
Your company's data could help end world hunger
Mallory Freeman, 2016, TED@UPS
Your company might have donated money to help solve humanitarian issues, but you could have something even more useful to offer: your data. Mallory Freeman shows us how private sector companies can help make real progress on big problems — from the refugee crisis to world hunger — by donating untapped data and decision scientists. What might your company be able to contribute?
Use data to build better schools
Andreas Schleicher, 2012, TEDGlobal
https://www.ted.com/talks/andreas_schleicher_use_data_to_build_better_schools
How can we measure what makes a school system work? Andreas Schleicher walks us through the PISA test, a global measurement that ranks countries against one another — then uses that same data to help schools improve. Watch to find out where your country stacks up, and learn the single factor that makes some systems outperform others.
The next Web of open, linked data
Tim Berners-Lee, 2009, TED
20 years ago, Tim Berners-Lee invented the World Wide Web. For his next project, he’s building a web for open, linked data that could do for numbers what the Web did for words, pictures, video: unlock our data and reframe the way we use it together.
A Magna Carta for the web
Tim Berners-Lee, 2014, TED
Sir Tim Berners-Lee invented the world wide web 25 years ago. So it’s worth a listen when he warns us: There’s a battle ahead. Eroding net neutrality, filter bubbles and centralized corporate control all threaten the web’s wide-open spaces. It’s up to users to fight for the right to access and openness. The question is, What kind of Internet do we want?
Own your body's data
Talithia Williams, 2014, TEDxClaremontColleges
https://www.ted.com/talks/talithia_williams_own_your_body_s_data
The new breed of high-tech self-monitors (measuring heartrate, sleep, steps per day) might seem targeted at competitive athletes. But Talithia Williams, a statistician, makes a compelling case that all of us should be measuring and recording simple data about our bodies every day — because our own data can reveal much more than even our doctors may know.
Here's how we take back the Internet
Edward Snowden, 2014, TED
https://www.ted.com/talks/edward_snowden_here_s_how_we_take_back_the_internet
Appearing by telepresence robot, Edward Snowden speaks at TED2014 about surveillance and Internet freedom. The right to data privacy, he suggests, is not a partisan issue, but requires a fundamental rethink of the role of the internet in our lives — and the laws that protect it. “Your rights matter,” he says, “because you never know when you’re going to need them.” Chris Anderson interviews, with special guest Tim Berners-Lee.
The NSA responds to Edward Snowden's TED Talk
Richard Ledgett, 2014, TED
https://www.ted.com/talks/richard_ledgett_the_nsa_responds_to_edward_snowden_s_ted_talk
After a surprise appearance by Edward Snowden at TED2014, Chris Anderson said: “If the NSA wants to respond, please do.” And yes, they did. Appearing by video, NSA deputy director Richard Ledgett answers Anderson’s questions about the balance between security and protecting privacy.
How the NSA betrayed the world's trust — time to act
Mikko Hypponen, 2013, TEDxBrussels
https://www.ted.com/talks/mikko_hypponen_how_the_nsa_betrayed_the_world_s_trust_time_to_act
Recent events have highlighted, underlined and bolded the fact that the United States is performing blanket surveillance on any foreigner whose data passes through an American entity — whether they are suspected of wrongdoing or not. This means that, essentially, every international user of the internet is being watched, says Mikko Hypponen. An important rant, wrapped with a plea: to find alternative solutions to using American companies for the world’s information needs.
Recommended Scholars & Intellectual Thinkers
– Joseph Hair
– Rex Kline
– Andy Field
– Andrew F. Hayes
– Christian M. Ringle
– Marko Sarstedt
– Barbara Tabachnick & Linda Fidell
– Julie Pallant
– Barbara Byrne
you would be massively shocked of how this course explained the hidden world of data , it is surely impressive how our future is surrounded by data science ..
you would be massively surprised after finishing this course , it is a mind blowing course which descriptively explains the hidden world of data and reveal how our fate as a kind is surrounded by data science