Data Analytics Boot Camp Curriculum

According to a SINTEF research study, more data has been created in the past two years than in the entire previous history of the human race.

This explosion of data has transformed nearly every industry. Whether it’s in marketing, healthcare, government, or activism — the ability to translate data into insights has quickly become a highly valued skill. University of Birmingham Data Analytics Boot Camp curriculum gives you the knowledge and skills to conduct robust analytics on a host of real-world problems.

Module 1: Excel crash course


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 scripting
  • Statistics modelling

Module 2: Python data analytics


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 analytics 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: Databases


Description:

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

What You Will Learn:

  • SQL
  • PostgreSQL
  • MongoDB
  • ETL process

Module 4: Web visualisation


Description:

Building visualisations 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 visualisations that you can share with everyone on the web.

What You Will Learn:

  • HTML
  • CSS
  • JavaScript
  • AJAX
  • Leaflet

Module 5: Advanced topics


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 5: Final project


Description:

Bring everything that you have learned together to create an impressive data visualisation application with a small team. Get creative and come up with something to showcase to the world.

What You Will Learn:

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

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