Learn both technical and business thinking skills, and get career support to get hired. All data analysis starts with a question. But how does one ask the right question?
The demand for Data Scientists is immense. In this course, you'll learn how you can play a part in fulfilling this demand and build a long, successful career for yourself.
Learn to use the Python language to create programs of all kinds. Author Jason Cannon will guide you from complete unfamiliarity with Python to creating practical applications. With Python Succinctly, lack of experience isn't an obstacle to programming language mastery.
Are you doing deep data prep and analysis? Responsible for creating content for others? If you have Tableau Prep and Tableau Desktop, these videos are for you. Learn how to prepare, analyze, and share your data.
The Deep Learning textbook is a resource intended to help students and practitioners enter the field of machine learning in general and deep learning in particular. The online version of the book is now complete and will remain available online for free.
Gain an in-depth understanding of Google Analytics and marketing analytics. Analyze data and build models with Excel, Data Studio, and create informative data visualizations with Tableau.
Learn the programming fundamentals required for a career in data science. By the end of the program, you will be able to use Python, SQL, Command Line, and Git.
Learn the programming fundamentals required for a career in data science. By the end of the program, you will be able to use R, SQL, Command Line, and Git.
Apply computer vision and deep learning to automotive problems,learn sensor fusion & filter data from an array of sensors in order to perceive the environment. Finally work with a team to program Carla, Udacity's real self-driving car.