The virtual course "Data Science in Real Life - Virtual Course - Coursera", is a course with different contents and that offers video classes of Approx. 7 hours to complete. Explore its essential features, and click the orange button to get detailed information on the Coursera e-Learning platform
Have you ever had the perfect data science experience? Data extraction was seamless.
There were no merge errors or missing data.
The hypotheses were clearly defined before the analyses.
Randomization was performed for the treatment of interest.
The analytical plan was outlined before the analysis and followed exactly.
The conclusions were clear and the actionable decisions were obvious.
Has all this happened to you? Of course not.
Data analysis in real life is complicated.
How do you manage a team that faces real data analysis? In this week-long course, we contrast the ideal with what happens in real life.
By testing the ideal, you'll learn key concepts that will help you handle real-life analyses.
This is a focused course designed to quickly get you up to speed on real-life data science.
Our goal was to make this as convenient as possible for you without sacrificing any essential content.
We've left out the technical information so you can focus on managing your team and moving it forward.
After completing this course, you will know how to: 1.
Describe the "perfect" data science experience 2.
Identify strengths and weaknesses in experimental designs 3.
Describe potential pitfalls when extracting/assembling data and learn solutions for managing data extracts.
4.
Question the assumptions of statistical models and provide feedback to data analysts.
5.
Describe common pitfalls in communicating data analysis.
6.
Take a look at a day in the life of a data analytics manager.
The course will be taught at a conceptual level for active managers of data scientists and statisticians.
Some key concepts discussed include: 1.
Experimental design, randomization, A/B 2 tests.
Causal inference, counterfactuals, 3.
Strategies for managing data quality.
4.
Bias and confounding 5.
Comparison of machine learning with classical statistical inference Course promotion: https://www.
Youtube.
com/watch?v=9BIYmw5wnBI Course cover image by Jonathan Gross.
Creative Commons BY-ND https://flic.
kr/p/q1vudb
Prepare yourself from home with the most prestigious universities in the world.
The quality of Coursera's courses is supported by its instructors, who are often deans and have doctorates.
More than 85% of Coursera students report career benefits, such as promotions or salary increases.
Millions of students around the world are meeting their personal and professional goals with Coursera.
Coursera offers courses from over 200 leading universities and companies to deliver online learning around the world. With a Coursera Plus subscription, you get unlimited access to over 90% of all courses, and the most popular professional certificates and specializations on Coursera.
Data science, business and personal development. You can enroll in multiple courses at once, earn unlimited certificates, and learn in-demand job skills to start, grow, and even change careers.
DISCOVER HOW TO GET THE MOST, AND SAVE OVER USD $500 WITH AN ANNUAL SUBSCRIPTION TO COURSERA PLUS*
*You save up to USD$500 in 12 months, when you go from paying USD$59 for a monthly subscription, to an annual subscription with the promotion. The normal annual subscription is USD $399. With the promotion you will only pay USD $299. Find out everything by clicking the yellow button.
Johns Hopkins University
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