Udacity
Paid Course
English
Certificate Available
17 weeks long, 10 hours a week
Overview
Successful Data Analysts have a unique set of skills, and represent important value to organizations eager to make data-powered business decisions. In this program, you’ll learn to use Python, SQL, and statistics to uncover insights, communicate critical findings, and create data-driven solutions. Demand for qualified Data Analysts continues to rise, and as a graduate of this program, you will be prepared to take on these roles.
Use Python, SQL, and statistics to uncover insights, communicate critical findings, and create data-driven solutions.
Syllabus
- Introduction to Data Analysis
- Learn the data analysis process of wrangling, exploring, analyzing, and communicating data. Work with data in Python, using libraries like NumPy and Pandas.
- Practical Statistics
- Learn how to apply inferential statistics and probability to real-world scenarios, such as analyzing A/B tests and building supervised learning models.
- Data Wrangling
- Learn the data wrangling process of gathering, assessing, and cleaning data. Learn to use Python to wrangle data programmatically and prepare it for analysis.
- Data Visualization with Python
- Learn to apply visualization principles to the data analysis process. Explore data visually at multiple levels to find insights and create a compelling story.
Taught by
Josh Bernhard , Sebastian Thrun, Derek Steer, Juno Lee , Mike Yi, David Venturi, Sam Nelson, Nicholas C., Bruno A., Sagarnil D., Daniel B., Charles T. and Felix S.
