Udacity Data Analyst Nanodegree

Udacity Data Analyst Nanodegree

This program is part of the Data Science Core section of my Data Science Master's.


Before we begin

Hey, it’s David. I wrote this review back in 2016. Since then, I’ve become a professional data analyst and created courses for multiple industry-leading online education companies.

Do you want to become a data analyst, without spending 4 years and $41,762 to go to university? Follow my latest 27-day curriculum and learn alongside other aspiring data pros.

Okay, back to the review.


Program Description

From the program website:

"We built this program with expert analysts and scientists at leading technology companies to ensure you master the exact skills necessary to build a career in data science.

Learn to clean up messy data, uncover patterns and insights, make predictions using machine learning, and clearly communicate critical findings."


Why Take This Nanodegree?

From the program website:

"The Data Analyst Nanodegree program is specifically designed to prepare you for a career in Data Science. As a Data Analyst, you are responsible for obtaining, analyzing, and effectively reporting on data insights ranging from business metrics to user behavior and product performance. This program’s curriculum was developed with leading industry partners to ensure students master the most cutting-edge curriculum. Graduates will emerge fully prepared for this amazing career."


My Review

Here is my review on Medium.

Here are the individual courses contained within the Nanodegree:

  • Intro to Inferential Statistics

  • Intro to Descriptive Statistics

  • Intro to Data Analysis

  • Data Wrangling

  • SQL for Data Analysis

  • MongoDB for Data Analysis

  • Data Analysis with R

  • Intro to Machine Learning

  • Data Visualization and D3.js

  • A/B Testing

Listed below (in alphabetical order) are the software, libraries, frameworks, etc. that are covered in the Nanodegree:

  • Anaconda

  • d3.js

  • dimple.js

  • dplyr

  • ggplot2

  • JSON

  • knitr

  • matplotlib

  • MongoDB

  • NumPy

  • pandas

  • Python

  • iPython Notebook

  • R

  • R Studio

  • scikit-learn

  • SQL

  • XML