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→ Course Overview
Everything in a nutshell

The Data Analyst for Professionals Bootcamp is a 12-week part-time program designed to empower non-technical employees with no-code and low-code data analytics skills. As data and AI projects surge, specialist teams can become bottlenecks, frustrating domain experts who spot numerous opportunities. With minimal coding expertise, they can now build solutions in a managed, compliant manner.

This boot camp equips participants to independently analyse and visualise data using tools like PowerBI. It introduces the fundamentals of Python and SQL to access advanced visualisations and machine learning. This course will unlock data-driven innovation and productivity across all business functions.

→ Programme Benefits
  • Enhanced Decision-Making: Empower employees with data literacy to make informed, strategic decisions.
  • Increased Efficiency and Productivity: Enable independent data analysis, reducing reliance on data specialists.
  • Cost Savings: Optimize human resources by reducing the need for extensive IT and data specialist support.
  • Improved Data Quality and Governance: Ensure compliance with regulations and minimise risks related to data breaches.
  • Fostering a Data-Driven Culture: Promote a culture that values data in everyday business activities.
  • Innovation and Competitive Advantage: Identify new opportunities through data analysis, driving innovation and market differentiation.
→ Course Information
  • Qualification: Code Institute Certificate
  • Duration: 12 weeks
  • Weekly Commitment: circa 8 hours per week
  • Delivery: Part-time remote bootcamp
  • Assessment: Continuous assessment; group assignment via hackathons
  • Final Project: Develop a detailed data analysis project, including data sourcing, cleaning, analysis, visualisation, and reporting.
→ Curriculum Modules
  • Module 1: Introduction To Data Analytics
  • Module 2: Using data visualisations to tell a story
  • Module 3: How to summarise data
  • Module 4: How probability is used in Data Analytics
  • Module 5: How Python is used in Data Analytics
  • Module 6: Using statistics to better understand data
  • Module 7: Preprocessing and cleaning data ready for analysis
  • Module 8: Advanced data visualisation techniques
  • Module 9: Managing data with SQL databases
  • Module 10: Making predictions using data (Machine Learning)
  • Module 11: Using data legally and ethically
  • Module 12: Capstone Project and Course Review
Everything in a nutshell

The Data Analyst for Professionals Bootcamp is a 12-week part-time program designed to empower non-technical employees with no-code and low-code data analytics skills. As data and AI projects surge, specialist teams can become bottlenecks, frustrating domain experts who spot numerous opportunities. With minimal coding expertise, they can now build solutions in a managed, compliant manner.

This boot camp equips participants to independently analyse and visualise data using tools like PowerBI. It introduces the fundamentals of Python and SQL to access advanced visualisations and machine learning. This course will unlock data-driven innovation and productivity across all business functions.

  • Enhanced Decision-Making: Empower employees with data literacy to make informed, strategic decisions.
  • Increased Efficiency and Productivity: Enable independent data analysis, reducing reliance on data specialists.
  • Cost Savings: Optimize human resources by reducing the need for extensive IT and data specialist support.
  • Improved Data Quality and Governance: Ensure compliance with regulations and minimise risks related to data breaches.
  • Fostering a Data-Driven Culture: Promote a culture that values data in everyday business activities.
  • Innovation and Competitive Advantage: Identify new opportunities through data analysis, driving innovation and market differentiation.
  • Qualification: Code Institute Certificate
  • Duration: 12 weeks
  • Weekly Commitment: circa 8 hours per week
  • Delivery: Part-time remote bootcamp
  • Assessment: Continuous assessment; group assignment via hackathons
  • Final Project: Develop a detailed data analysis project, including data sourcing, cleaning, analysis, visualisation, and reporting.
  • Module 1: Introduction To Data Analytics
  • Module 2: Using data visualisations to tell a story
  • Module 3: How to summarise data
  • Module 4: How probability is used in Data Analytics
  • Module 5: How Python is used in Data Analytics
  • Module 6: Using statistics to better understand data
  • Module 7: Preprocessing and cleaning data ready for analysis
  • Module 8: Advanced data visualisation techniques
  • Module 9: Managing data with SQL databases
  • Module 10: Making predictions using data (Machine Learning)
  • Module 11: Using data legally and ethically
  • Module 12: Capstone Project and Course Review

Whether you’re a beginner. Whether you’ve already got a bit of experience at coding but you’re not sure what to do next, this course will take you from wherever you are, and it will launch you forward. I had been looking at getting into software development, and I just found from doing their 5 Day Coding Challenge that their format suited my learning style more than any other course that I could see.

Paul

Code Institute Graduate 2021

A month before I received my last result for my last project, I found a job as an email developer and a web administrator. In less than one year, I have to say, my opportunities just went crazy. I really feel the most lucky person in the world that the call came from Bristol College, explaining how Code Institute works.

Manuel

Code Institute Graduate 2022