Virtual program of:edX |
Learn about the various tools data scientists use and gain experience using some of them, such as Jupyter notebooks.
Develop an understanding of the key steps involved in tackling a data science problem.
Learn to follow a methodology to think and work like a data scientist.
Write SQL to query databases and explore relational database concepts.
Take labs and hands-on projects to apply your newly acquired skills and knowledge.
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 the
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