Data Curriculum

Over the past decade, an explosion of data has transformed nearly every industry. Whether in manufacturing, healthcare, government or activism—the ability to translate data into actionable insights has become a vital skill. When it comes to data analytics and visualization, it’s important to achieve mastery in application of concepts because employers care about what you can do, not just what you know. Our curriculum teaches you how to apply what you’ve learned in order to solve real-world data projects.

Data Analytics & Visualization

Module 1: Excel Crash Course Weeks 1-2


Description:

Learn to do more with Microsoft Excel. This module covers advanced topics like statistical modeling, forecasting and prediction, pivot tables and VBA scripting. You will even learn how to model historic stock trends and, hopefully, how to beat the market.

What You Will Learn:

  • Microsoft Excel
  • VBA Script
  • Statistics Modeling

Module 2: Python Data Analytics Weeks 3-9


Description:

Gain a solid foothold in one of today’s fundamental programming languages. You’ll develop proficiency in core Python, data analytics tools like NumPy, Pandas and Matplotlib and specific libraries for interacting with web data, like Requests, BeautifulSoup and Tweepy.

What You Will Learn:

  • Python, APIs
  • JSON, NumPy
  • Pandas, Matplotlib
  • Beautiful Soup, Tweepy

Module 3: Databases Weeks 10-12


Description:

Dive deep into the most prolific database languages: SQL and NoSQL. Work with MySQL and MongoDB to organize data into well-structured, easily-retrievable formats.

What You Will Learn:

  • SQL
  • NoSQL
  • MySQL
  • MongoDB

Module 4: Web Visualization Weeks 13-19


Description:

Building visualizations is of little benefit without a way to communicate the message. In this module, you’ll learn how to use the core web development technologies (HTML, CSS and JavaScript) to create new and interactive data visualizations that you can share with everyone on the web.

What You Will Learn:

  • HTML, CSS
  • JavaScript, AJAX
  • D3, Leaflet

Module 5: Advanced Topics Weeks 20-23


Description:

By program’s end, you’ll be immersed in new and in-demand topics like Tableau, Hadoop and Machine Learning.

What You Will Learn:

  • Tableau
  • Hadoop
  • Machine Learning

Module 6: Final Project Week 24


Description:

As part of a small team, you will bring together everything that you have learned in class to create an impressive data-visualization application.

What You Will Learn:

  • Dreaming up something fantastic and pushing the bounds of reasonable and achievable

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