Data Curriculum

Over the course of the past decade, the explosion of data has transformed nearly every industry known to man. Whether it’s in marketing, healthcare, government, or activism—the ability to translate data into insights has quickly become a highly valued skill by all. When it comes to data analytics, it’s important to achieve mastery in application of concepts because companies care about what you can do, not just what you know. CWRU Data Analytics Boot Camp curriculum teaches you how to use what you’ve learned in solving real-world data projects.

Data Analytics

Module 1: Excel Crash CourseWeeks 1-2


Description:

Learn to do more with Microsoft Excel. In this module, we’ll cover advanced topics like statistical modeling, forecasting and prediction, pivot tables, and VBA scripting. You’ll even learn to model historic stock trends -- and hopefully, learn to beat the market!

What You Will Learn:

  • Microsoft Excel
  • VBA Script
  • Statistics Modeling

Module 2: Python Data AnalyticsWeeks 3-8


Description:

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

What You Will Learn:

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

Module 3: DatabasesWeeks 9-13


Description:

Work with PostgreSQL and MongoDB to organize data into well-structured and easily retrievable data formats.

What You Will Learn:

  • SQL
  • PostgreSQL
  • MongoDB
  • ETL Process

Module 4: Web VisualizationWeeks 14-19


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
  • Leaflet

Module 5: Advanced TopicsWeeks 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 ProjectWeek 24


Description:

Bring everything that you have learned in the class altogether to create an impressive data-visualization application with a small team. Get creative and come up with something cool to show off to the whole world.

What You Will Learn:

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

Get Program Info

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