This course provides a general introduction to the field of Data Science. It has been designed for aspiring data scientists, content experts who work with data scientists, or anyone interested in learning about what Data Science is and what it’s used for. Weekly topics include an overview of the skills needed to be a data scientist; the process and pitfalls involved in data science; and the practice of data science in the professional and academic world. This course is part of CU Boulder’s Master’s of Science in Data Science and was collaboratively designed by both academics and industry professionals to provide learners with an insider’s perspective on this exciting, evolving, and increasingly vital discipline.
Dieser Kurs ist Teil der Spezialisierung Spezialisierung Vital Skills for Data Science
2.096 bereits angemeldet
von
Spezialisierung Vital Skills for Data ScienceUniversity of Colorado BoulderÜber diesen Kurs
22.582 kürzliche Aufrufe
Flexible Fristen
Setzen Sie Fristen gemäß Ihrem Zeitplan zurück.
Zertifikat zur Vorlage
Erhalten Sie nach Abschluss ein Zertifikat
100 % online
Beginnen Sie sofort und lernen Sie in Ihrem eigenen Tempo.
Kurs 1 von 4 in
Stufe „Mittel“
Knowledge of R required and knowledge of tidyverse is helpful.
Ca. 11 Stunden zum Abschließen
Englisch
Untertitel: Englisch
Was Sie lernen werden
By taking this course, you will be able explain what data science is and identify the key disciplines involved.
You will be able to use the steps of the data science process to create a reproducible data analysis and identify personal biases.
You will be able to identify interesting data science applications, locate jobs in Data Science, and begin developing a professional network.
Kompetenzen, die Sie erwerben
- Data Science
- Applied Mathematics
- Information Science
- Statistics
- Computer Science
Flexible Fristen
Setzen Sie Fristen gemäß Ihrem Zeitplan zurück.
Zertifikat zur Vorlage
Erhalten Sie nach Abschluss ein Zertifikat
100 % online
Beginnen Sie sofort und lernen Sie in Ihrem eigenen Tempo.
Kurs 1 von 4 in
Stufe „Mittel“
Knowledge of R required and knowledge of tidyverse is helpful.
Ca. 11 Stunden zum Abschließen
Englisch
Untertitel: Englisch
von
University of Colorado Boulder
CU-Boulder is a dynamic community of scholars and learners on one of the most spectacular college campuses in the country. As one of 34 U.S. public institutions in the prestigious Association of American Universities (AAU), we have a proud tradition of academic excellence, with five Nobel laureates and more than 50 members of prestigious academic academies.
Beginnen Sie damit, auf Ihren Master-Abschluss hinzuarbeiten.
Dieses Kurs ist Teil des reinen Onlineabschlusses Master of Science in Data Science von University of Colorado Boulder.
Wenn Sie in das komplette Programm aufgenommen werden, werden Ihre Kurse auf Ihren Abschluss angerechnet.
Lehrplan - Was Sie in diesem Kurs lernen werden
1 Stunde zum Abschließen
Introduction to Data Science: the Past, Present, and Future of a New Discipline
This week we will talk about the past, present and future of data science. The growth of data science has been fueled by the growth of the internet, social media and online shopping as well as by the rapid increases in data storage capabilities. You will watch several short videos and participate in discussions about the future of data science.
1 Stunde zum Abschließen
4 Videos (Gesamt 15 min), 2 Lektüren
4 Stunden zum Abschließen
Data Science in Industry, Government, and Academia
This week you will watch videos and have a reading on some applications of data science in industry and academia. You will hear from data scientists in different fields to find out how they use data science.
4 Stunden zum Abschließen
8 Videos (Gesamt 97 min), 7 Lektüren, 1 Quiz
4 Stunden zum Abschließen
Data Science Process and Pitfalls
This week you will learn about the importance of reproducibility and how to achieve it, learn the steps in a data analysis process and learn about the possible pitfalls in data science. You will watch demonstrating the various steps in the data science process and try out these processes for yourself on a different dataset.
4 Stunden zum Abschließen
11 Videos (Gesamt 64 min), 9 Lektüren, 2 Quiz
2 Stunden zum Abschließen
Communicating Your Results
This week you will learn about important ways of communicating your results. We will discuss the important things to know about presentations and reports. You will also learn about the importance of networking and try it out.
2 Stunden zum Abschließen
2 Videos (Gesamt 8 min), 1 Lektüre, 1 Quiz
Bewertungen
- 5 stars80 %
- 4 stars6,66 %
- 3 stars6,66 %
- 1 star6,66 %
Top-Bewertungen von DATA SCIENCE AS A FIELD
von MW25. Juni 2021
Very practical overview of the field. Does require knowledge of R to do 2 simple projects if you take it for credit.
von AH13. Juni 2021
Exercises and lectures were hands-on and informative. I enjoyed the practical advice on data science as a profession.
von XX16. Aug. 2021
Good course for exercise R programming, data analysis and communication skills.
von MM2. Juni 2021
A great introduction to Data Science, with plenty of practical assignments that are flexible enough to explore our own questions of interest.
Über den Spezialisierung Vital Skills for Data Science
Vital Skills for Data Science introduces students to several areas that every data scientist should be familiar with. Each of the topics is a field in itself. This specialization provides a "taste" of each of these areas which will allow the student to determine if any of these areas is something they want to explore further. In this specialization, students will learn about different applications of data science and how to apply the steps in a data science process to real life data. They will be introduced to the ethical questions every data scientist should be aware of when doing an analysis. The field of cybersecurity makes the data scientist aware of how to protect their data from loss.
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