Penn Data Analysis and Visualization Boot Camp Curriculum

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 Penn Data Analysis and Visualization Boot Camp gives you skills-based training, and not only teaches you the fundamentals for data analytics and visualization 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 Analysis & Visualization

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
  • Statistical analysis

Module 2: Python Data AnalyticsWeeks 3-8


Description:

Gain a strong foothold in one of today’s fundamental programming languages. In 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 Beautiful Soup.

What You Will Learn:

  • Python
  • APIs
  • JSON
  • NumPy
  • SciPy
  • 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 are of little benefit without a way to communicate the message. In this module, you’ll learn 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 TopicsWeeks 20-23


Description:


By the end of the program, 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:

For your final project, you will work with a small team to apply the skills you have learned to create a data visualization application.

What You Will Learn:

  • Successful application of the knowledge you have acquired during the boot camp to create a portfolio project that will highlight your data analysis and visualization skills to employers.

Get Program Info

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