University of Denver Data Analytics Boot Camp Curriculum

The program is rigorous, fast-paced, and focused on the practical technical skills needed to solve data problems. Throughout the course, you’ll  gain proficiencies on a host of marketable technologies like Excel, Python, JavaScript, SQL Databases, Tableau, and more. Plus, you’ll have an impressive professional portfolio and the confidence you need to succeed in the data-driven economy.

Data Analytics & Visualization

Module 1: Excel Crash Course Weeks 1-2


Description:

Learn to do more with Microsoft Excel! In this module, we’ll cover topics like statistical modeling, forecasting, and prediction; pivot tables, and VBA scripting. You will 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 3-9


Description:


Gain a strong foundation in one of the fundamental programming languages of today. In this module, you’ll gain proficiencies with core Python; data analytic 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 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.

What You Will Learn:

  • SQL
  • NoSQL
  • MySQL
  • MongoDB

Module 4: Web Visualization Weeks 13-19


Description:

Building visualizations are 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 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 exposed to 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 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 understanding the bounds of reasonable and achievable

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