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Data Visualization and Analytics 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.
We all know that in today’s professional world, your knowledge is only as good as your ability to put it to use. For that reason, the curriculum at University of Minnesota Data Visualization and Analytics Boot Camp gives you skills-based training, and not only teaches you the fundamentals of data analytics but shows you how to apply your knowledge on real-world projects. From visualizing bike-sharing data in New York City to mapping earthquakes worldwide in real time, you will get hands-on experience that translates into your work in the field.
Data Visualization & 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 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 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 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 Charting
- AJAX
- 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
- Data Ethics
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