Trending Now

Common Scrum Mistakes and How to Avoid
Future Of DevOps Engineering in 2024
Top MS Excel Functions For Data Analyst
Product Owner Responsibilities and Roles
Python for Machine Learning Developers
How to Transform IT Service Delivery with SIAM
What is SIAM - SIAM Need and SIAM Framework
Key Highlights of SIAM Survey 2023
Three Key Layers of Governance in SIAM
Business Analyst in Cybersecurity
ITIL 4: A Journey from Certification to Implementation
The Role of Big Data in Modern Business
What is AWS: A Beginner's Guide to Cloud Computing
Agile vs SAFe: Comparison Between Both
How to Get CSPO Certification in 2024?
SAFe Implementation Best Practices
CSM vs. SSM: Which Scrum Master Certification is Better?
Agile Scrum Best Practices for Efficient Workflow
Ethical Hackers Salary Structure Worldwide 2024!
Best Agile Estimation Techniques 2024
ITIL V4 Major Changes and Updates
COBIT 5 vs COBIT 2019: Differences and more
Scrum Framework and Its Advantages in 2024
PRINCE2 Certification Cost in 2024
CSM vs PMP: Differences Explained & Which One to Choose?
Agile vs. DevOps: Difference and Relation
Smart Manufacturing through IoT for Operational Excellence
Sport Analytics: How Data Analytics is Changing Games
PRINCE2 Certification Core Role and Process
PMP vs PRINCE2: Which Certification is Better
Your Guide to Agile Scrum Foundation
Guide to Scrum Master Career Path in 2024
Scrum Master Certification Detailed Curriculum
Business Analyst Career Path, Skills, Jobs, and Salaries
Advantages of Certified Scrum Master
Digital Marketing Trends and Evolution
Scaling Agile in Organizations and Large Teams
What are the Scaled Agile Framework Core Values?
Scaled Agile Framework (SAFe) Key Features and Components
Top 6 Most-in-Demand Data Science Skills
Power of Emotional AI in B2B Sales
Role of PRINCE2 in Project Management Trends
Power Skills: Key Drivers for Your Project Success
Benefits of Lean Six Sigma Black Belt Certification
Benefits of Scaled Agile Framework (SAFe) in Organizations
AZ-900 Study Guide: Microsoft Azure Fundamentals
Top Programming Languages for Data Science Professionals in 2024
What is One Key Purpose of DevOps?
How are the Business Analysts Ruling The Healthcare Industry?
Business Analytics Trends in 2024: Tools and Predictions
Scrum Master Certification Cost in 2024
Gemini Google's AI Model to Take Down GPT-4
Career Opportunities for PRINCE2 and PMP Professionals
Lean Six Sigma Certification Levels Complete Guide 2024
Kaizen Costing - Types, Objectives, Process
Lean Continuous Improvement: What is it and How Does it Work?
The Art of Lean by Leonardo Da Vinci
How AI is Transforming Robotic Surgery?
Project Management Strategies for Teamwork
What is Kaizen? With Principles, Advantages, and More
Achieving Predictive Maintenance & Predictable Outcomes through Root Cause Analysis
Agile vs Waterfall: Difference Between Methodologies
Agile at Scale: Strategies and Challenges
Combining Lean Principles and Agile Methodologies
Primary Benefits of Adopting Agile Methodology
Agile Requirements Gathering Techniques 2024
What are CI and CD in Agile?
Top 7 Ethical Hacking Tools in 2024
User-Generated Content and it's Importance
Top 10 Scrum Master Interview Questions and Answers for 2024
Project Closure Process in Project Management
Ways of Risk Management and Risk Mitigation
Best Leadership Qualities fo Project Managers
Difference Between Agile & Waterfall Methodologies
Agile Scrum Product Owner Roles & Responsibilities
Top 9 Advanced MS Excel Formulas in 2024
Project Management Budgeting Methods 2024
Digital Marketing Trends 2024 You Must Know!
5 Key Agile Project Management Metrics 2024
The Complete Ethical Hacking Guide 2024
The Ultimate Digital Advertisement Guide 2024
PRINCE2 Project Life Cycle and Major Processes Explained
Top 7 Power BI Projects for Practice 2024
How to Measure Progress of Agile Projects Using Agile Metrics?
Transformative Machine Learning Project Ideas by Brands
Top-Notch Entry-Level Digital Marketing Jobs
Top 5 Real-World Machine Learning and AI Examples in the Industry
Leading SAFe 6.0 Certification Exam Preparation (2024)
AI and Power BI: A Powerful Combination for Data Visualization
Tableau AI and ML Model: Making Data Experience Powerful
Database Management in Java Full Stack Development: JDBC and ORM Tools
How to do Video Marketing for Audience Engagement?
Top 7 Trends in Data Science in 2024 and beyond
Email Marketing Strategies for Campaign Success in 2024
ITIL 4 Certification: How to prepare and succeed in the latest exam
How to Become a Data Scientist in 2024?
Personalization in Digital Marketing for Improved Engagement
ITIL 4 and Artificial Intelligence: Leveraging AI for Service Improvement
Introducing PRINCE2® 7: The Future of Project Management
What is Agile: History, Definition, and Meaning
Home
Excel Formula for Data Analyst

Top MS Excel Functions For Data Analyst

Stefan Joseph
Stefan Joseph
Stefan Joseph is a seasoned Development and Testing and Data & Analytics, expert with 15 years' experience. He is proficient in Development, Testing and Analytical excellence, dedicated to driving data-driven insights and innovation.

MS Excel has always been a savior and it is almost the first love of every Data enthusiast. Though there are multiple Analytics tools available the spreadsheet program is one of the most essential things that every aspiring Data Analyst should learn. It’s not just about gathering data but also arranging them in a proper manner that looks neat and presentable. This article will help you with 5 such Excel formulae that you will need if you’re looking for a Data Analyst profession.

MS Excel Functions and Their Advantage

1. CONCATENATE

This is a simple one. Let’s say you have two or more cells and another column or row will be the merge or combination of those two cells. This way of merging those cells to get a combined one using a certain formula is called Concatenate. You can use a maximum of 255 strings or 8192 characters in a concatenate formula but you cannot use an array such as C1:C20. 

CONCATENATE formula excel

In this table, you can see that column B has the title ‘First Name’ and column C has ‘Last Name’. The next column D combines columns B and C and the title is ‘Full Name’. So combine the first and the last name using this formula:

=CONCATENATE(B4,” “,C4)

2. VLOOKUP

This formula works best when you want to search for any data that is arranged in a vertical column. 

VLOOKUP Excel Formula

In this image, you can see how we have used VLOOKUP. There are a total of 3 columns where three separate data sets are present. Now let’s try to find the vertical data corresponding to the ID number 300 using VLOOKUP.

For that, you first need to move to a different cell and make a heading as VLOOKUP. Right on its left cell, write Search Value. Now, the search value is the ID against which we’re trying to find the corresponding vertical data. In the cell below the VLOOKUP title, we’ll start working on the formula.

  • We’ll start with =VLOOKUP(

  • Next, click on the cell where you want to get the result, that is in this case, F6 (right below the VLOOKUP cell).

  • Then add a comma, and choose the entire matrix which in our case ranges from B3 to D8.

  • Add another comma and then write the number of columns present in the entire data set which in our case is 3

  • And then close the bracket.

Therefore, the entire formula looks like:

=VLOOKUP(F6,B3:D8,3)

The result is 110,000 which is exactly the vertical data (salary) corresponding to the ID number 300.

3. SUMIF

 This is another important Excel formula that gives you the combined value of different cells but it is based on a certain criterion. When it comes to a large data set with multiple different numbers, you may not always want to get a combined value of all the cells. SUMIF allows you to get your desired result amidst the huge data. This is essential for complex data analysis. 

SUMIF Excel Formula

Let’s see how you can use SUMIF to obtain the data you are looking for. In the above illustration, you can see that there are various types of columns and another two separate columns ‘Output’ and ‘Formula’. So once you’re done with writing the data, choose any different cell and write ‘Formula’. Under this cell, we’ll be calculating the value using SUMIF.

  • The formula starts with, =SUMIF(

  • Now you have to choose the data set corresponding to which you have to choose the value. In this case, you have to select the entire range from B2:B9, i.e., the column with the name ‘Sponsorship’.

  • The next step is very crucial. In this section, we’ll choose the criterion barring which we want the result. Since the first criterion is with less/greater than operators and over here the operator is 25. So the formula is SUMIF(B2:B9,’<25’)

  • Now for the other operators, you will have to choose a different range. 

4. MINIFS/MAXIFS

This convenient equation not only discerns the lowest and highest values but also arranges them according to specific criteria. For instance, it can be applied to organize the ages of men and women in a sample, showcasing the values categorized by gender, thereby serving a dual purpose.

MINIFS/MAXIFS Excel Formula

In the above example, you can see a cell highlighted in green that shows the result of 100. We wanted to find the lowest number corresponding to a salary is USD 56,000. 

So the formula goes like this:

=MINIFS(B4:B14, C4:C13,56000)

5. COUNTIF

THE COUNTIFS formula counts the numbers of how many times a value appears based on one criterion. The image below shows how COUNTIF is used by Data Analysts when they have a large number of data but they’re looking for a particular parameter. 

COUNTIF Excel Formula

The first column under the title ‘Name’ has the name of the people and the next column ‘Region’ shows their hometown. In this scenario, we’re looking for how many people have their hometowns in Canada. Therefore, we have used the formula, =COUNTIF(C4:C14,”Canada”). You have to first select the entire that shows the hometown, i.e., the criterion we’re looking for and then have to mention the particular criterion we are seeking.

Conclusion

Now that you have got to know the Excel formulae that a Data Analyst often uses, you must start keeping track of these formulae. There are many other Excel formulae that Data Analysts use and if you want to know more about them, please drop your comment and share your feedback with us. 

Leave a Reply

Your email address will not be published. Required fields are marked *

Popular Courses

Follow us

2000

Likes

400

Followers

600

Followers

800

Followers

Subscribe us