Data Analytics Boot Camp (Boot Camp / Online and Face to Face Learning)

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University of Birmingham

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Course Overview: The Data Analytics and Visualization Boot Camp is a comprehensive program designed to equip students with the knowledge, skills, and expertise to work with big data effectively. Starting with foundational tools like Microsoft Excel and advancing through programming languages such as Python and JavaScript, students will learn to analyze and visualize data using popular software, libraries, and technologies. The course covers a range of topics including API interactions, social media mining, SQL, Hadoop, Tableau, advanced statistics, machine learning, and more.

Suitability – Who should attend? This program is suitable for individuals who meet the following criteria:

  • Must be over 18 years of age.
  • Must have a GCSE grade A-C or 9-4 in Maths.
  • Must have passed the admissions interview, coding test, and academic interview.

Is the program right for you? Enrolling in the Data Analytics and Visualization Boot Camp may be the right choice if:

  • You are currently working with data and want to advance your career by building technical skills.
  • You are a manager or professional seeking to leverage data to enhance your company’s performance.
  • You have an interest in visualizing social, consumer, or popular trends.
  • You are looking to enter a new field, such as healthcare, government, or media, and want to gain relevant data skills.
  • You desire a comprehensive data course that can be completed alongside a busy lifestyle or existing employment.

Outcome / Qualification: Upon completion of the Data Analytics and Visualization Boot Camp at the University of Birmingham, students will receive the following:

  • Certificate of Completion from the University of Birmingham, demonstrating mastery of data analytics skills.
  • Strong portfolio showcasing project work with real-world datasets from various domains.
  • Access to career support services including CV and social media profile support, technical interview preparation, portfolio reviews, soft skills training, and career coaching.

Training Course Content: The course is divided into the following modules:

Module 1: Excel Crash Course

  • Advanced Excel topics including statistical modeling, forecasting, pivot tables, and VBA scripting.

Module 2: Python Data Analytics

  • Proficiency in Python programming and data analytics tools like NumPy, Pandas, Matplotlib, and web data interaction libraries.

Module 3: Databases

  • Working with PostgreSQL and MongoDB to organize data into structured and retrievable formats.

Module 4: Web Visualization

  • Web development technologies (HTML, CSS, JavaScript) for creating interactive data visualizations.

Module 5: Advanced Topics

  • In-depth exploration of Tableau, Hadoop, and Machine Learning.

Module 6: Final Project

  • Collaborative project work to create an impressive data visualization application.

Course Delivery Details:

  • Time commitment: 10-12 hours per week
  • The course is delivered through a mix of online and face-to-face learning.

Continuing Studies:

  • Students have access to career services, including career content, practice sessions, online career events, soft skills training, and one-on-one career coaching, to prepare for technical roles after graduation.

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