Data Analysis in Excel

Data Analysis in Excel

Learn how to analyze data like a pro using Excel in this online event!

By Studyhub

Date and time

Mon, 15 Dec 2025 02:00 - 04:00 PST

Location

Online

Refund Policy

Contact the organiser to request a refund.

About this event

  • Event lasts 2 hours

Welcome to Data Analysis in Excel!

Join us for an exciting online event where you'll learn how to harness the power of Excel for data analysis. Whether you're a beginner or an experienced user, this event is perfect for anyone looking to sharpen their skills and boost their productivity. Our expert instructors will guide you through various techniques and tools to help you analyze data efficiently and effectively. Don't miss out on this opportunity to take your Excel skills to the next level!

Unleash the power of data with our Data Analysis in Excel course, where you’ll journey through the realm of spreadsheet analysis and uncover the secrets hidden within your data. In today’s data-driven world, the ability to navigate, interpret, and extract insights from data is a coveted skill. Whether you’re a professional looking to enhance your analytical capabilities or a student aiming to excel in data-driven fields, this course empowers you to harness Excel’s full potential for data analysis. From modifying worksheets to forecasting future trends, you’ll master the art of data manipulation, visualization, and analysis with confidence and precision.


Learning Outcomes

  • Master the art of modifying Excel worksheets to suit your data analysis needs.
  • Discover advanced data analysis techniques, including working with lists and lookup functions.
  • Create compelling data visualizations using charts, PivotTables, and PivotCharts.
  • Effortlessly manage multiple worksheets and workbooks, making data organization a breeze.
  • Apply data forecasting techniques and automate workbook functionality, saving time and boosting productivity.

Why choose this Data Analysis in Excel course?

  1. Unlimited access to the course for a lifetime.
  2. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course.
  3. Structured lesson planning in line with industry standards.
  4. Immerse yourself in innovative and captivating course materials and activities.
  5. Assessments designed to evaluate advanced cognitive abilities and skill proficiency.
  6. Flexibility to complete the Course at your own pace, on your own schedule.
  7. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience.
  8. Unlock career resources for CV improvement, interview readiness, and job success.

Who is this Data Analysis in Excel course for?

  • Professionals seeking to enhance their data analysis skills.
  • Students preparing for careers in data-driven industries.
  • Analysts, researchers, and data enthusiasts eager to upskill.
  • Business professionals looking to make data-driven decisions.
  • Anyone interested in harnessing Excel for powerful data analysis.

Career path

  • Data Analyst: £25,000 – £47,000
  • Business Analyst: £26,000 – £50,000
  • Financial Analyst: £26,000 – £56,000
  • Market Research Analyst: £24,000 – £40,000
  • Operations Analyst: £23,000 – £48,000
  • Business Intelligence Analyst: £27,000 – £56,000

Prerequisites

This Data Analysis in Excel does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Data Analysis in Excel was made by professionals and it is compatible with all PC’s, Mac’s, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection.

Certification

After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8.

Disclaimer:
This is an online course consisting of pre-recorded sessions. Access to the course will be granted within 24 hours of enrolment.

Organised by