Become a Data Analyst

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Become a Data Analyst provided by Udacity is a comprehensive online course, which lasts for 17 weeks long, 10 hours a week. Become a Data Analyst is 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.. Upon completion of the course, you can receive an e-certificate from Udacity. The course is taught in Englishand is Paid Course. Visit the course page at Udacity for detailed price information.

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.