Zurück zu A Crash Course in Data Science

4.5

Sterne

5,360 Bewertungen

•

1,017 Bewertungen

By now you have definitely heard about data science and big data. In this one-week class, we will provide a crash course in what these terms mean and how they play a role in successful organizations. This class is for anyone who wants to learn what all the data science action is about, including those who will eventually need to manage data scientists. The goal is to get you up to speed as quickly as possible on data science without all the fluff. We've designed this course to be as convenient as possible without sacrificing any of the essentials.
This is a focused course designed to rapidly get you up to speed on the field of data science. Our goal was to make this as convenient as possible for you without sacrificing any essential content. We've left the technical information aside so that you can focus on managing your team and moving it forward.
After completing this course you will know.
1. How to describe the role data science plays in various contexts
2. How statistics, machine learning, and software engineering play a role in data science
3. How to describe the structure of a data science project
4. Know the key terms and tools used by data scientists
5. How to identify a successful and an unsuccessful data science project
3. The role of a data science manager
Course cover image by r2hox. Creative Commons BY-SA: https://flic.kr/p/gdMuhT...

Highlights

Well taught

(48 Bewertungen)Basic course

(76 Bewertungen)Sep 10, 2017

This is a great starter course for data science. My learning assessment is usually how well I can teach it to someone else. I know I have a better understanding now, than I did when I started.

Jan 02, 2018

It is a very good course even if you are familiar with some aspects of data science work. If I have to make a suggestion, I would remark the importance of design skills during a data product,

Filtern nach:

von Ayna M

•Dec 12, 2017

This is my first Coursera course, it gave me a great overview of what data science is and isn't, what the differences are between the statistical modelling and machine learning, what a data science project looks like from start to finish, laid a nice foundation for the next course!

von VERONICA C

•Aug 31, 2017

This is an excellent course to get a better understanding of the basics aspects of data science. With a balanced level of difficulty that keeps you learning and engaged across the course. I appreciate the use of real examples and additional readings suggestions, for me that made

von Katharina H

•Dec 02, 2015

As a complete novice to the field I found this course really useful to get a concise overview and understand some of the trends in big data/ data science. I liked the way the lecturers highlighted that hype needed to be distinguished from what data science can really do for us.

von Morgan S

•Dec 15, 2017

Excellent materials with engaging instruction. Exactly as expected. Crash course. Descriptive enough for basics to get you started and to familiarize a novice with the process.

Not a course that is meant to stump you, but teach you or refresh your knowledge of the basics.

von Ninad P

•Feb 19, 2019

The instructors have provided a detailed account of what Data Science actually means, without having to actually dive into the minutiae. The course focuses on providing clarity about the field and helps you look beyond all the hype. All in all, great clarity, great focus.

von Chin C Y

•Aug 13, 2019

This course gives me a glimpse of what Data Science is all about in a very short period of time. I have colleagues working in Data Science in my function and at least I know what they are doing and what is the purpose of doing all these Data Science functions! Thank you.

von Keuntae K

•Feb 24, 2018

Great course! Although I am quite familiar with data science and statistical analysis, this course helped me improve my understandings of fundamental principles of why data science is important and how data science works in a very conceptual but comprehensive way.

von carol

•Mar 16, 2016

I finished the course in just one evening. It is really quite and easy course into various aspects of data science. The biggest benefits for me is it provides many inspirations which helps me to decide which areas of Data Science I would like to learn more later.

von Matthew B L T

•Feb 12, 2019

Thoroughly enjoyed working through this course in ONE day as a true "crash" course. Certainly helped get many ideas cemented in my mind about what DS is about and the structure and realities of running DS projects. Great materials, well laid out and structured.

von Manjunatha V M

•Dec 23, 2016

Very good overview. Most basic vocabulary is nicely explained with examples.

Only one thing more could have been covered a bit more: Big Data and/vs Data Science. I am still wondering if there is 'any' difference between the two terms, what 'exactly' is it?

von Sebastien L

•Jun 05, 2016

Although it was the first course to which I registered (makes it hard for me to rate and compare), I really enjoyed the lectures and found the information clear and concise! Can't wait to start the following courses related to Executive Data Science.

von Luis E C

•Jan 07, 2016

Simple and to the point. I recommend this class to any data scientist or manager planning to supervise a data science team or plan projects based on data analysis. This class would make an excellent review for early PhD students in any science field.

von Tiago A

•Jul 17, 2016

I recommend this course to all who wish to be a data scientist, and, for those who want to be managers of a team of data scientists. The course introduces basic concepts, tips and tools, and also good articles as supplementary reading. Recommended!

von Siddharth T

•Apr 03, 2016

The course lays out the basics of Data Science in a very easy to understand manner for someone who is a beginner and gives an overview from where you can start scouring for more information either through the further courses or outside of them.

von Andrew C

•Feb 10, 2017

A good introduction to Data Science. Clarified a number of questions that I had about what it actually is. Presented in a way that does not dumb down the material, but still makes it accessible to a person without a science or data background.

von Jeferson N d C

•Jun 20, 2016

I liked the methodology to explain with details all the embasement of Data Science. I'm learning since the basic to advanced. I'm gonna do a MBA in area of Data Science and this certification become a more one step to me. Congrats from Brazil.

von Jon D D

•Oct 27, 2018

I am very pleased with this course as a way to introduce data science concepts, tools and issues to neophytes without scaring them off. I would recommend it to anyone who is trying to comprehend this increasingly important field in our world.

von RANJEEV A

•Jan 10, 2018

A very useful insight into the Data Science Crash Course, I loved watching the videos with transcripts, PDFs containing examples and links, such information reinforced the learning and understanding the concepts and course content. Great job!

von KARTHIKEYAN R

•Sep 13, 2017

The course content was great covering all the basics one needs to know to get a idea about what is data science and the instructors was very clear in explaining the concepts and provided a lot of relevant examples.A personal thanks to them.

von DB

•Jan 01, 2019

The course is general enough for non-specialist, but rigorous enough to keep you challenged and interested. Highly recommend for anyone who deals with data and data analysts / engineers as part of their work, or who aspires to do so.

von Victor W

•Jul 08, 2017

Very effective introduction to management of the Data Science and Engineering team in a corporate environment along with the first fundamental requirement of initiating a Data Science project - what question are you trying to answer.

von Dumidu H

•Apr 30, 2017

If you're looking for an introduction to data science and machine learning which doesn't get your feet too wet this course is ideal. Its meant to be a conceptual introduction to the subject. Just what I was looking for. Thanks Guys.

von Gaurav D

•Jan 13, 2020

This was an excellent introduction to data science although early exposure to data science and technology trends helped me understand it better. This weeks course helped me clear some of the basic concepts that I wasn't aware of.

von Scott R H

•May 30, 2016

Great overview. The distinction between statistics and machine learning gets a little fuzzy, but probably because I never took statistics, and have only used machine learning in a limited context. Really enjoyed it, thanks.

von Milling, T

•Nov 12, 2019

The course gives a good general understanding of Data Science and to understand some of the tools and techniques used to acquire data, analyzing data and to answer questions to determine if the data acquired is beneficial.

- KI für alle
- Vorstellung von TensorFlow
- Neuronale Netzwerke und Deep Learning
- Algorithmen, Teil 1
- Algorithmen, Teil 2
- Maschinelles Lernen
- Maschinelles Lernen mit Python
- Maschinelles Lernen mittels Sas Viya
- R-Programmierung
- Einführung in die Programmierung mit Matlab
- Datenanalyse mit Python
- AWS-Grundlagen: Mit der Cloud vertraut werden
- Grundlagen der Google Cloud-Plattform
- Engineering für Site-Funktionssicherheit
- Englisch im Berufsleben
- Die Wissenschaft des Wohlbefindens
- Lernen lernen
- Finanzmärkte
- Hypothesenüberprüfung im öffentlichen Gesundheitswesen
- Grundlagen für Führungsstärke im Alltag

- Deep Learning
- Python für alle
- Data Science
- Angewandte Datenwissenschaft mit Python
- Geschäftsgründungen
- Architektur mit der Google Cloud-Plattform
- Datenengineering in der Google Cloud-Plattform
- Von Excel bis MySQL
- Erweiterte maschinelles Lernen
- Mathematik für maschinelles Lernen
- Selbstfahrende Autos
- Blockchain-Revolution für das Unternehmen
- Unternehmensanalytik
- Excel-Kenntnisse für Beruf
- Digitales Marketing
- Statistische Analyse mit R im öffentlichen Gesundheitswesen
- Grundlagen der Immunologie
- Anatomie
- Innovationsmanagement und Design Thinking
- Grundlagen positiver Psychologie