Microsoft Excel and Data Analysts

Microsoft Excel and Data Analysts

We all are #dataanalysts at some part of our #careers. I believe that you can create information with a set of data using one of the most basic tools in #corporations that is #Excel, which is one of the widely adopted Spreadsheet software around the globe.

I have seen a lot of #professionals (other than IT Professionals) taking courses in #Python, #SQL, #R, while they currently haven’t really explored Excel enough to understand that most of the daily tasks can be automated through its advanced tools like #PowerQuery, #VBA & #Macros.

#MicrosoftExcel comes with a lot of Augmentations for users to interact with the inputs given, and I believe that this spreadsheet software can be #disruptive in your #organizations if you dive deeper into it with your creativity and curiosity.

Most of our professionals believe that Excel is all about creating tabular information that contains mostly numbers in a certain format. But it’s a lot more than that. It also provides you with functions to clean your data, structure it into uniformly formatted values, and then gives you the opportunity to visualize it the way you want in the form of Pivot Tables & Charts and then automate those on regular intervals to avoid repetition of tasks.

Diving into #MicrosoftExcel also opens doors for #PowerBI, which is one of the best tools to visualize, and #automate information to provide attractive and summarized insights to your #seniormanagement.

In no way do I discourage people from learning different languages, but what my intention is, is to give such data inspired people a head-start, especially #FinanceProfessionals. Take #MSExcel as a step towards #DataAnalytics, since this software warms you up with basic formulas and jargons that can make an individual understand how queries and codes can be written to play with data in other languages. One of the best examples of such functions are the IF, AND, OR functions that are widely used in different #programming languages.

Thereafter, going for #Python, #SQL, #R can be effective switches in terms of #diversification in your skill set and in the long run, be fruitful for your career ahead since not only will it be easier for you to understand the complex functions, but will give you the confidence to try some of the queries/functions yourself.

Hassan Haider

Business Analyst | Product Management | MBA

1 年

Well written! Very insightful!

Salman Hanif

Manager Business Analyst & Strategy@ Gatronova | Driving Transformation & Growth | Financial Planning & Analysis | LUMS MBA

1 年

I am an active user of excel bt what makes the user switch to other medium is it doesnt handle humongous data well. For instance, we cant go above certain number of rows However, its yet a powerfull tool so financial models are designed on excel, dynamic and deatiled in nature I beleive that it depends on what sort of data you want to analyse and whats the requirement of the user Btw great effort!

Muhammad Husayn

Training Design, Development & Delivery of 3500+ hours for 1100+ professionals globally. Leadership Development programs & Coaching for 500+ hours, catering to US Sales Revenue Enablement & former Canadian IT Recruitment

1 年

I see alot of scope and future for data analysts and Power BI is the way. Offcourse Excel has to have decent foundations.

Hassan Sultan

Head of Toyota Sure Pakistan | Ex- Head of Auto Finance @ Toyota | Ex Project Manager @ Toyota Motors Asia Pacific | Ex-NED l Digital Marketing, Automotive Engineer

1 年

Very well stated Ali.

Abdullahi Maalim, FMVA?

CFA L1 Candidate | Financial Analyst | ACCA Affiliate | Transform Data to insight | Advanced Excel & IFRS| FMVA |Odoo ERP|UAE VAT

1 年

Amazing post. Insightful! Syed

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