Tableau vs Excel: When to use Tableau and when to use Excel
Key Takeaways
The video compares and contrasts Tableau and Excel, demonstrating their different use cases and strengths in data analytics, with Tableau excelling in data visualization and Excel in multi-layered calculations and data creation.
Full Transcript
tablo has grown to become one of the most popular business intelligence tools in the entire world it is a bi software that allows non-technical users to visualize their data and work with it almost immediately lowering know-how barriers dramatically in the past business analysts needed the help of IT personnel who could assist them and gathering raw data and pre-processing it only then could business analysts start working on the visualization of such data the advent of tableau democratized this process and allowed bi analysts to be independent non-technical people can easily load data into the program and start playing with it tableaus Forte are meaningful intuitive visualizations and sometimes that's really valuable analysts are able to explore their data right away without spending too much time on numbers which provide limited insights and instead focus on data that matters this is why we can confidently say that tableau is an indispensable tool in the arsenal of most corporate business intelligence analysts data analysts and data scientists many people are uncertain about the difference between tableau and spreadsheet tools like Excel and that's a reasonable doubt until we point out they serve different purposes using tableau doesn't necessarily mean you can forget about Excel and vice versa while Excel is not as powerful or intuitive as tableau when it comes to data visualization tableau is not optimal when you would like to use it as a data creation tool although it has several database management functionalities the program isn't the best solution when you would like to perform multiple operations with your data before you start analyzing it moreover tableau isn't great for multi-layered calculations it is able to calculate in its own fields but it shouldn't be used as a spreadsheet tool for multi-layered calculations such as the preparation of a budget in Excel where tableau surpasses the competition is in data visualizations it is a very smart program that allows you to visualize data in a more powerful way compared to Excel so for example when you work with geographical data there is no way Excel could interpret the cells in your spreadsheet as a geographical location on the other hand tableau recognizes that and allows you to visualize such data and see how a variable is distributed geographically moreover tableau allows you to combine several types of charts and build up meaningful dashboards that are truly interactive and facilitate additional analysis once you visualize your data you can easily dig deeper and explore its granularity finding the reason for unusual spikes or investigating certain trends even novice tableau users would be able to save a significant amount of time if they transfer their pre-designed existing Excel dashboards to tableau uploading new data and updating visuals is more rapid in tableau therefore we can agree that a competent analyst needs both excel and tableau given that they serve different purposes tableau is superior when it comes to visuals and dashboards and Excel is a spreadsheet tool we need in order to perform multi-layered calculations in the same way a combat soldier carries a rifle and a pistol at the same time and uses them under different circumstances a business analyst should know how to work with both excel and tableau and apply each of them when needed
Original Description
👉🏻 Download Our Free Data Science Career Guide: https://bit.ly/2POLaN8
👉🏻 Sign up for Our Complete Data Science Training with 57% OFF: https://bit.ly/3iKD0lv
Tableau vs Excel - Not sure when to use Tableau and when to use Excel?
Well, many people are uncertain about the difference between them. And that’s a reasonable doubt, until we point out they serve different purposes. Using Tableau doesn’t necessarily mean you can forget about Excel, and vice versa.
Tableau has grown to become one of the most popular business intelligence tools in the entire world. It is a BI software that allows non-technical users to visualize their data and work with it almost immediately, lowering know-how barriers dramatically.
In the past, business analysts needed the help of IT personnel who would assist them in gathering raw data and pre-processing it. Only then could business analysts start working on the visualization of such data. The advent of Tableau democratized this process and allowed BI analysts to be independent. Non-technical people can easily load data into the program and start playing with it. Tableau’s forte are meaningful and intuitive visualizations. And sometimes that’s really valuable. Analysts are able to explore their data right away, without spending too much time on numbers which provide limited insights and instead focus on data that matters.
This is why we can confidently say that Tableau is an indispensable tool in the arsenal of most corporate business intelligence analysts, data analysts, and data scientists.
While Excel is not as powerful or intuitive as Tableau when it comes to data visualization, Tableau is not optimal when you would like to use it as a data creation tool. Although it has several database management functionalities, the program isn’t the best solution when you would like to perform multiple operations with your data before you start analysing it. Moreover, Tableau isn’t great for multi-layered calculations. It is able to calculate
Watch on YouTube ↗
(saves to browser)
Sign in to unlock AI tutor explanation · ⚡30
Playlist
Uploads from 365 Data Science · 365 Data Science · 44 of 60
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
▶
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
Population vs Sample
365 Data Science
Data Science & Statistics: Levels of measurement
365 Data Science
Statistics Tutorials: Mean, median and mode
365 Data Science
Skewness
365 Data Science
What is a distribution?
365 Data Science
The Normal Distribution
365 Data Science
Central limit theorem
365 Data Science
Student's T Distribution
365 Data Science
Type I error vs Type II error
365 Data Science
Hypothesis testing. Null vs alternative
365 Data Science
The linear regression model
365 Data Science
Simple linear regression model. Geometrical representation
365 Data Science
INDEX and MATCH application of the two functions separately and combined [Advanced Excel]
365 Data Science
INDIRECT Excel Function: How it works and when to use it [Advanced Excel]
365 Data Science
VLOOKUP and MATCH another useful functions combination [Advanced Excel]
365 Data Science
VLOOKUP COLUMN and ROW - Handle large data tables with ease [Advanced Excel]
365 Data Science
The ELIF keyword [Python Fundamentals]
365 Data Science
Working with Tuples in Python
365 Data Science
Database Terminology - A Beginners Guide
365 Data Science
Relational Database Essentials
365 Data Science
Database vs Spreadsheet - Advantages and Disadvantages
365 Data Science
Conditional Statements and Loops
365 Data Science
Backpropagation – The Math Behind Optimization
365 Data Science
Monte Carlo: Forecasting Stock Prices Part I
365 Data Science
Monte Carlo: Forecasting Stock Prices Part II
365 Data Science
Monte Carlo: Forecasting Stock Prices Part III
365 Data Science
365 Data Science Online Program
365 Data Science
Data frames - Creating a data frame
365 Data Science
Data Science & Statistics: Slicing a matrix in R
365 Data Science
Data frames in R - Exporting data in R
365 Data Science
Data frames in R - Transforming data PART II
365 Data Science
Data Frames in R - Subsetting a data frame
365 Data Science
Data Science & Statistics: Matrix arithmetic in R
365 Data Science
Data Science & Statistics: Indexing an element from a matrix
365 Data Science
Data Frames in R - Extending a data frame
365 Data Science
Data Science & Statistics: Creating a matrix in R FASTER
365 Data Science
Data Science & Statistics: Creating a Matrix in R
365 Data Science
Data frames - Importing data in R
365 Data Science
Data frames in R - Getting a sense of your data
365 Data Science
Data frames in R - Transforming data PART I
365 Data Science
Data frames in R - Import a CSV in R
365 Data Science
Data Science & Statistics: Matrix operations in R
365 Data Science
Data Science & Statistics: Matrix recycling in R
365 Data Science
Tableau vs Excel: When to use Tableau and when to use Excel
365 Data Science
Download Tableau: Learn how to download Tableau Public
365 Data Science
Connecting data sources: Useful tips when connecting data sources to Tableau
365 Data Science
The Tableau interface: See how to navigate through the Tableau interface
365 Data Science
Tableau data visualization: Create your first Tableau visualization!
365 Data Science
Duplicating sheets: This is how to duplicate a sheet in Tableau
365 Data Science
Build a table in Tableau: The steps needed to create a simple table in Tableau
365 Data Science
Custom fields in Tableau: Using Tableau operators to create custom fields
365 Data Science
Custom fields in Tableau: Add calculations to tables through custom fields
365 Data Science
Totals in Tableau: Learn how to display subtotals and totals in Tableau
365 Data Science
Gross Margin calculation in Tableau
365 Data Science
What is a filter in Tableau: Set up a filter in Tableau to specify the data you want to show
365 Data Science
Joins in Tableau: Inner, outer, left, or a right join in Tableau
365 Data Science
Building a Tableau dashboard: Three types of charts you want to have in a Tableau dashboard
365 Data Science
Creating great looking charts in Tableau: Real life Exercise on charts in Tableau
365 Data Science
Joins in Tableau: Choose the correct join type
365 Data Science
How to make a data check in Tableau: A quick data check is better than no data check
365 Data Science
More on: Data Literacy
View skill →Related AI Lessons
⚡
⚡
⚡
⚡
The Attention Economy: Your Attention Is Worth More Than Gold
Medium · Data Science
What I Learned Building a Tableau Dashboard for Deloitte’s Data Analytics Simulation
Medium · Data Science
Six Months, 9,541 Restaurant Development Records, and What the Data Actually Says
Medium · Data Science
CRM Analitiği ile Müşteri Değerini Anlamak: RFM, CLTV ve Predictive CLTV Rehberi
Medium · Data Science
🎓
Tutor Explanation
DeepCamp AI