Virtual program of:edX |
This study is part of our review on:
How to interpret and communicate data and results using a wide range of real-world examples from different domains How to make predictions using machine learning and statistical methods Computational thinking and skills, including the Python programming language to analyze and visualize data How to think critically about data and draw sound conclusions based on incomplete information
4 months. 4 - 6 hours per week suggested.
3 virtual courses in soft skills
As the demand for data science skills increases around the world, this BerkeleyX Professional Certificate will teach you how to combine data with Python programming skills to ask questions and explore problems you may encounter in a future job, in any field. study, and even in daily life.
This course will give you a new perspective to explore the topics and problems that interest you.
Among others, Berkeley's online data science program has been endorsed by Google's vice president of education and Microsoft's corporate vice president of cloud AI.
The program is based on Data 8, UC Berkeley's fastest growing class, which is taken by more than 3300 students each year as they begin their data science journey.
Data 8 is recognized among institutions as the preeminent introductory data science course that has helped place UC Berkeley at the forefront of democratizing data science for all.
Top-ranked universities around the world, such as Yale, Cornell, and NYU, have followed Berkeley's lead by creating their own versions of UC Berkeley's groundbreaking data science course.
Through this professional certificate, students from around the world can now take UC Berkeley's most popular course.
This course is accessible to students who have not previously taken statistics or computer science courses.
No previous programming experience is assumed or required.
Through instructor-led labs and videos, you'll learn about topics ranging from fundamental data science concepts to machine learning methods.
This program will help you become a data scientist by teaching you how to analyze a diverse set of real data sets including economic data, geographic data, and public health data.
Usually the information will be incomplete and there will be some uncertainty involved.
You will learn how to make inferences, which will help you quantify uncertainty and measure the precision of your estimates.
Finally, you will gather all your knowledge and learn about prediction using machine learning.
We all need to be able to think critically and make decisions based on data.
Therefore, the program aims to make data science accessible to everyone.
The program focuses on a set of fundamental concepts and techniques that have broad applicability.
Unlike "bootcamps" for programmers, this program introduces data science as a way of thinking, in which interpretation and communication are just as important as computation and statistical methods.
You don't have to download any software; all you need is a browser.
Open a window and get ready to have fun.
Whether you're looking to accelerate your career, earn a degree, or learn something for personal reasons, edX has the right courses for you.
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Learn alongside university partners and colleagues from around the world.
Expert BerkeleyX faculty and instructors committed to high-quality virtual education.
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