Analysing Data Skills Bootcamp

by Babington Claim Listing

The Analysing Data Skills Bootcamp has been designed to help you get to grips with these key topics. Besides building a strong foundational awareness of data principles, this course will introduce you to key tools and techniques, as well as give you an accredited qualification upon completion.

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img Duration

12 Weeks

Course Details

Many people have experienced significant changes in their working environments and styles over the past two years, with an increasing number of people now working from home. With greater reliance on digital tools and systems, and new ways of remote working, it’s important for professionals to build the skills they need to keep pace.

Even for those that are not in technical roles, it’s becoming more important than ever to understand the basic principles of data analysis, data processing, and how to turn data into actionable business insight.

The Analysing Data Skills Bootcamp has been designed to help you get to grips with these key topics. Besides building a strong foundational awareness of data principles, this course will introduce you to key tools and techniques, as well as give you an accredited qualification upon completion. The programme is funded by UK Government (with a 30% employer contribution), and thus is free to learners – whatever their employment status.

 

Programme Outcomes 

For learners

The Analysing Data Skills Bootcamp will enable you to use data tools and gain recognised Ucertify certification, with the end goal being considered for opportunities and vacancies to progress your career. You will learn how to use Microsoft tools for data analysis, understand how to tell a story using data and develop, your communication, meeting, and presentation skills. Whether it be sales, marketing, operations, finance or customer care, this course will instil the principles and working practices of data analysis and storytelling.

 

Key topics

  • Data and the law
  • Collecting and preparing data
  • The importance of clean data
  • Analytical tools
  • Introduction to big data
  • Data visualisation and non-graphical visualisation
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