University of Miami Data Analytics Boot Camp 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 the application of concepts because companies care about what you can do, not just what you know. UM 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 Course Weeks 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 Analytics Weeks 3-8


Description:

Gain a strong foothold in one of today’s fundamental programming languages. In the course of this module, you’ll gain deep proficiencies with core Python, data analytic tools like NumPy, Pandas, 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: Databases Weeks 9-13


Description:

Dive deep into the most prolific database languages: SQL and NoSQL. Work with MySQL and MongoDB to organize data into well-structured and easily retrievable data formats. Work on a case study to combine data from different sources into one database.

What You Will Learn:

  • SQL
  • NoSQL
  • MySQL
  • MongoDB
  • ETL Process

Module 4: Web Visualization Weeks 14-19


Description:

Building visualizations is of little benefit without a way to communicate the message. In this module, you’ll be learning the core technologies of web development (HTML, CSS, and JavaScript) to create new, 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:

Bring everything that you have learned in 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 understanding the bounds of reasonable and achievable

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