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Udacity

Become a Data Analyst

via Udacity Nanodegree

Overview

In this program, you’ll master the skills you need to establish a successful data science career. Our curriculum was developed with leading industry partners to ensure students master the most cutting-edge skills. Demand for qualified employees with advanced data skills has never been higher, and graduates will emerge fully job-ready.

Syllabus

Prerequisite Knowledge

You should be familiar with descriptive statistics and have some experience working with data in spreadsheets or SQL.See detailed requirements.

  • Introduction to Python

    Learn Python programming fundamentals such as data types and structures, variables, loops, and functions.

    Explore US Bikeshare Data
  • Introduction to Data Analysis

    Learn the data analysis process of questioning, wrangling, exploring, analyzing, and communicating data. Learn how to work with data in Python using libraries like NumPy and Pandas.

    Investigate a Dataset
  • Practical Statistics

    Learn how to apply inferential statistics and probability to important, real-world scenarios, such as analyzing A/B tests and building supervised learning models.

    Analyze Experiment Results

Taught by

Mat Leonard, Sebastian Thrun, Juno Lee , Derek Steer, Mike Yi, David Venturi, Chris Saden, Sam Nelson, Denisa-Maria I., Lucia B., Sherif S., Andy e., Reem A. and I Gede Wibawa C.

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