Level 3 Data Analysis Skills Bootcamp
Course Overview
Data Analysts are some of the most sought-after professionals in the world today. In the UK alone, demand for data science skills has tripled over the past five years, rising to 231%. Perfect for both individuals looking to develop their skills and knowledge, and employers looking for staff training, our Level 3 Data Analyst bootcamp course will provide a more in-depth overview of a range of areas related to data analysis. It covers subjects such as databases, legislation, modelling, IT fundamentals and more.
Key Information
Course Length
12 weeks
Course Level
Level 3
Learning Method(s)
Online materials
Online assessment
For Individuals
Benefits
- Fully online course
- Study from anywhere
- Live learning sessions
- Access to an award-winning e-learning platform
- Perfect for beginners
- Unlimited support from qualified tutors
- Receive a digital e-certificate upon completion
- No hidden costs
For more information and details on the steps to completing your course read our Frequently Asked Questions.
Cost and Funding Information
Study this course
Introduction to Data Analysis
Within this unit, learners will look at what it takes to be a Data Analyst and will get a glimpse into the day in the life of someone in the role. They will also learn about the history and evolution of the role.
Practical Statistics
Within this unit, learners will learn about data, including the difference between structured and unstructured, the legislation and what constitutes as ethical data use.
Data Wrangling
Within this unit, learners will explore core database concepts and will learn how to choose data types to administer databases. They will also learn how data is stored, managed, and distributed in line with data security standards and legislation
Data Visualisation and Data Modelling
Within this unit, learners will understand why data visualisation is important to the role and will be able to explain the principles of descriptive analytics, predictive analytics and prescriptive analytics.