Data Analysis in Microsoft Excel: Deliver Awesome Analytics in 3 Easy Steps Using VLOOKUPS, Pivot Tables, Charts And More
English | 20 July 2023 | ISBN: N/A | ASIN: B0CCHX9TPD | 320 Pages | PDF | 71.3 MB
In the digital age, data is the new gold. Master the art of data analysis using the author's three-step system and unlock unprecedented potential in your career and beyond.
"Data Analysis in Microsoft Excel" provides a unique system designed to elevate your analytical skills, whether you're navigating a career change, stepping out of education into the professional world, or aiming to gain confidence in a new role with an analytical component.
Are you tired of taking endless courses only to find you don't know how to apply your knowledge?
Do you look at a dataset and don't know where to begin?
Do you even understand what an organisation needs to know from its data?
The system is designed to help you ask incisive questions, develop potent problem statements, and tailor your analysis to suit various audience needs. The content is a fusion of business and analytical concepts coupled with practical exercises, facilitating a deeper understanding of the technical skills required for effective data analysis. The book is not just about understanding Excel-it's about nurturing a critical analytical mindset and honing the techniques that distinguish good analysts.
Learn how to import, improve and enrich data
Understand the key Excel functions used in data analysis
Discover expert tips and avoid common mistakes in planning an analysis
Craft insightful problem statements and hypotheses to explore, maximising value for an organisation
Analyse stakeholder needs and wants for immediate impact
Build a project for your portfolio to land your next role
You may be thinking, "Can I really become proficient in data analysis through a book?" or "I'm not very technical; will I be able to grasp the concepts?" Rest assured, this guide is designed with every reader in mind. Its accessible language ensures that even if you're starting from scratch or have only limited exposure to data analysis, you can follow along and gain substantial skills and confidence.
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