Why These Three Features Matter
If you work with data in Excel, mastering Tables, Power Query, and Pivot Tables (plus Power Pivot) will save you hours and make your analysis bulletproof. Here's how each one works and why you need them.
1. Excel Tables (Ctrl+T)
Turning a Range into an Official Table
- Select any cell in your data range
- Press Ctrl+T (or Home > Format as Table, or Insert > Table)
- Ensure "My table has headers" is checked
Key Benefits of Tables
- Automatic formatting, alternating rows stay consistent even after inserting new rows
- Headers stay visible, when scrolling down, column headers replace the normal column letters (A, B, C...) as long as your cursor is inside the table
- Formulas auto-fill, write one formula in a column, and it instantly fills every row
- Example:
=TEXTJOIN(" ", TRUE, [@First], [@Last])joins first and last names - Change a formula once; all rows update automatically
- Example:
- Easy summing,
=SUM(then press Ctrl+Spacebar to select the entire column (even with blanks) - Named tables, rename your table (Table Design > Table Name) so formulas read something like
=SUM(staff[Feb 2021])instead of cryptic references
Pro Tip
When you add new rows to a table, formulas and formatting extend automatically. No more dragging formulas down!
2. Power Query (Get & Transform Data)
What It Does
Power Query cleans, reshapes, and combines data, and every step is repeatable. Click Refresh tomorrow and all transformations happen again automatically.
Common Cleaning Tasks
- Capitalize names, Select columns > Transform > Format > Capitalize Each Word
- Merge columns, Right-click columns > Merge Columns (no formulas needed)
- Trim & clean, Remove extra spaces, invisible characters
- Unpivot columns, The game-changer: select columns you want to keep (e.g., Name, Department), right-click > Unpivot Other Columns. This turns wide data into tall, analysis-ready data
- Change data types, Click the icon in the column header to convert text to date, number, etc.
How to Load Results
- Close & Load to a new worksheet (creates a table)
- Close & Load To... > choose "Only Create Connection" + "Add this data to the Data Model" (more on this below)
Where Power Query Connects
- Excel workbooks (local or on SharePoint)
- CSV files
- SQL databases
- Folders (consolidate many files)
- And more...
Refresh Is Your Friend
After adding new source data, right-click the green query table > Refresh. All steps re-run.
3. Pivot Tables & Power Pivot (Data Model)
Why Pivot Tables?
They let you slice and dice data by dragging fields into rows, columns, and values, without altering the original data.
The Problem with Traditional Pivot Tables
If your source data has months spread across columns (Jan, Feb, Mar...), a regular pivot table makes totals cumbersome. Solution: unpivot in Power Query first.
Loading into the Data Model (Power Pivot)
Instead of loading cleaned data to a table:
- In Power Query, choose Close & Load To...
- Select Only Create Connection + Add this data to the Data Model
- Click OK
Benefits of the Data Model
- Handles millions of rows, Excel's worksheet limit is ~1 million rows; the Data Model can hold much more
- One-click refresh, Refreshing the query updates the pivot table in a single step
- Relationships, Connect multiple tables (e.g., link your sales table to a calendar table by dragging fields)
- DAX measures, Write powerful formulas for custom calculations
How to Use It
- Insert a Pivot Table
- Choose Use this workbook's Data Model
- Build your report as usual
The data icon in the field list looks slightly different, indicating it's connected to the Data Model.
Putting It All Together
| Feature | Purpose | |---------|---------| | Tables | Keep raw data structured, formulas consistent, and references readable | | Power Query | Clean, reshape, and automate data preparation | | Pivot Tables + Power Pivot | Analyze large datasets, create relationships, and build dynamic reports |
These skills transfer directly to Power BI, so learning them in Excel is an investment that pays off everywhere.
Quick Recap
- Always convert raw data to an official Table (Ctrl+T). For more on managing structured data, see the Comprehensive Guide to Data Analysis and Visualization in MS Excel.
- Use Power Query to clean and unpivot messy source data
- Load cleaned data into the Data Model for massive datasets and faster refresh
- Build Pivot Tables off the Data Model for flexible, professional analysis. To deepen your skills, explore Master Excel for Data Analysis: From Basics to Interactive Dashboards.
i've trained a lot of people in excel and power bi and i'm still coming across a large number of those people who don't
use or aren't aware of some of the key excel concepts that are really essential to being a good data analyst there's
tables power query and pivot tables and even power pivot
so i'm going to go through those pretty quickly but just gives you a sense that they're
there and you really need to know about them let's go so let's start with tables they got
introduced to excel in excel 2007 um and they're just one of the best things
ever to happen to excel this looks like a table but it's not an official
table to turn it into an official table my shortcut is ctrl t so ctrl and t
highlights the whole table and the key thing is to make sure that my table has
headers has a tick in it and this is now an official table you even get a new
table design menu that pops up if i click away the table menu disappears if i click back
in it the table menu appears again okay so what's so good about tables and do i have to use ctrl t what if i can't
remember it well look under the home menu there is a format as table option so that's the
same thing as ctrl t there's also insert table that's the same thing and even tells you ctrl
t is the shortcut there so you've got no excuse about not remembering how to create a table
right why are they so good well firstly there's nice little features i'm not going to go through all the table
features but structured data is key to doing any good analysis
and even before that just alternating rows is pretty cool and if i insert a line the rows still alternate little
things like that when i scroll down the headings always show as long as my mouse is inside the
table i can always tell what the headings are you know there's nice little things like
that but the real key is that tables the formulas
spill down tables automatically so what do i mean well let's say i want to join together
these two names with a space okay i could use the all concatenate option or the ampersand
but if you don't know about text join let me show you that so equals text join i want to put
a space between each word comma i want to ignore any empty cells sure and then i just
highlight the two cells to join together or i could control click on it or click on them
individually with commas in between close the bracket enter and there we go the formula has spilt down
automatically and if i wanted to change one of these let's say i go into this one and i say actually put a colon
in between each name every single formula changes and if this table was 10 000 rows long it would still change so
having formulas be consistent in a column is key and tables enforce that
it's just really powerful and i'm just going to change this name to sort of like
full name or something okay also when you're doing formulas if i want to add up this january column
equals the sum and i can just click in any cell and do control spacebar that just
highlights every number or every value even if there's spaces
so no more controls shift down ctrl shift down hit a space ctrl shift down just control spacebar beautiful
highlights everything and the table formula is much more meaningful
it actually tells you it's table two and it's the column january 2021 okay press enter and
there's my grand total and i can even change this to start typing in the feb there we go
feb 2021 and you just have to make sure you chop that bit off the end and there we go that's now my february
also name your tables so here's table two if i click on it and go to table design
up in the top left hand corner give it a sensible name like table um staff uh that'll do okay
and now look at my formula it's the table staff february 2021 figures so it just builds
good structure okay so that's tables as you add new lines
insert rows the formulas automatically fill down much better way of designing
robust tables of data okay so look into tables right the next thing power query
hidden away under this data little tab here this little section is power query
i'm torn whether power query is the best thing since excel started i think it might be it
beats tables but tables and power query work beautifully together
so what is power query why do i need it why should you know about it well your data never comes out clean
you're very lucky and privileged if you've got nice clean data that's in a perfect format
just a little table like this for example look the names are all lowercase and with gaps in the months
are going across here which is horrible if you want to try and do some analysis on it
so i'm going to use power query to clean up the data flip the data around and the cleanup
those steps i do in the cleanup they're repeatable i can click refresh tomorrow and it'll all run again
so you just reduce the laborious time of data cleansing okay so power query if you don't know about it
it can connect to all sorts of things it can connect to excel workbooks if your
excel files or csv files or things are on sharepoint i've got a video on that i'll put a
little link will pop up in a second and if you want to see how to connect to a excel file on sharepoint or csv file
take a look at that video i'm just going to use this option here from
table slash range and it may be called from sheet in your version if you're on a really
up-to-date version of excel okay so what am i going to do well i'm going to pull this data in from table
range and now this opens up the power query editor window where you can do
all sorts of data transformations you can even add calculations and things in here it really is
pretty impressive i love power query it saves so much time it's been around for seven years
okay and still hardly anybody knows about it so here's my power query window i want
to uppercase these first two columns okay so i'm just going to click on them
i'm going to say transform and you can just go into these sorts of things like format and you've got lowercase
uppercase capitalize each word ah that's what i want to do so capitalize each word
and see it's just capitalized them and the great thing is that it's also added a little step and i
can just delete that step if i don't want to do that anymore but it almost it's like self-documenting
code it's brilliant this formula language in the in the formula bar here that's called
m it stands for mashup and it's a it's a language for transforming your data okay i'd like to merge these
two columns together so i'm going to go right click and then merge okay so don't have to do text join
don't have to remember any formulas i'm just going to merge the two columns together i'll then get prompted
as to whether i want to give it a new name and if i want to separate her so do i
want a gap yeah i'd like to put a space you can put whatever you want using that custom option
i'll go a space and i'll just call it full name and click okay so now we've got
full name and if i want to get rid of any extra spaces i can go right-click there's all sorts
of right-click options transform see there's the uppercase as well and capitalize each word
trim that gets rid of extra spaces clean gets rid of in sort of invisible characters and stuff
so trim okay doesn't really seem to have done anything but if there were any extra spaces on
the end or in the middle double spaces it would get rid of them and then the best thing
one of the best features there is in power query is the unpivot function so you see these columns they're all the
same thing they're months going across that's not what you want you want the month in a column
and the values in a column so i want to flip all that data around so i'm going to the full name and
department column they're great they're nice columns and then right click unpivot other
columns that is what you want to do everything else is flipped around and that is now beautiful
so rather than three columns for every item i've now got three rows for laura three rows for jen
okay it's flipped it all around and i'll rename this as date and this as i don't know maybe it's they
the units they're selling maybe they're sales people okay and then i can try and turn this
into a date so if i click on this let's just see if it's clever enough to
date how good's that it actually knows it's turned it into a proper date
and actually i want the month end so right click transform month
end of month all of this is now repeatable tomorrow so when that data updates i can
click refresh and all these transformations will happen okay and i can call it clean data
right that will do that is perfect so here we go home close and load close and load
two so where do i want to load it well i've got a choice and i'll show you both
so i can load it to a table and i'll load it to an existing worksheet and just load it here okay
so it'll just run away load the query refreshes and this little table will magically
appear and there we go okay and if i add something new like
april's data let's go april 2021 um one two three four five six for example i just right click on
this green table right click refresh okay and there we go there's april there's
april it's beautiful okay and remember power query can connect to
external excel files it can consolidate folders of data it can go off to a sql database and pull
data in it's just awesome and power query exists in power bi
power query exists in about 10 other products in growing it's just key to getting data into your
reporting so now i've got beautifully clean data i can now produce a pivot table
if i go back to this table for a second and say insert pivot table and just say okay
the problem here is this if i say okay i want to see my units sold for example by department i
can put department in my rows so there's my engineering and finance awesome okay
pivot tables are just beautiful summarization tool right it's just great for slicing
and dicing your data in a number of different ways but look i've got january data
i've got drag that in february how do i do a total i've got to drag them all and then do a
manual ad horrible okay so we don't do that we don't ever load that sort of
structured data um it's already a matrix of data okay this is already
the months going across you need to flip them around now if i go to this table
and try and do a pivot this will be a lot better so i can just go to the table tools
summarize with pivot table new worksheet okay and here i can just go department in my rows
there we are and then units okay and if i want that by date i could put that underneath my
department and i can put my department in the columns and i can do all sorts of slicing and
dicing and the pivot tables is you don't break anything you're not changing any of the
source data you're just slicing and dicing it by row by column you just drop in where you want to
handle that okay but if you're gonna do analysis and pivot tables
rather than loading your data straight into this table instead of that if i go right
click over here this is my power query and i choose load two
i'm not going to load it to a table i'm going to load it as a connection into the data model now the data model
is also known as power pivot and it's that same data model or a similar data model
concept that's used in power bi so if you learn these skills in excel they're directly applicable to power bi
and i click ok it's going to warn me that this green table is about to disappear okay it's still
loading you can see on the right here that it's still loading but where is it loading to well it's
loading to this magical data model which is capable of holding multiple millions of rows
okay i've got a video where i do 10 million rows pull it into excel now excel if you don't know if i go down
the bottom has only got one million um and 48 576 rows
so if you want to row load one and a half million records you can't but you can load it into the data model
okay let me show you where the data model is if i go to data
and this green button manage data model the first time you click that you might be prompted
to install an add-in called powerpivot in which case you'll then get a new tab appear called powerpivot
so this is the data model it's opening up and here would be my one million rows
two million five million rows of data okay and you can also load in other data and
helper columns and dimension tables they're referred to as and build a
whole tabular model inside excel this is exactly the same sort of um experience you have in power bi
so let's say i need to hook up my department to a table with department and a bunch of details i could just do a
nice little drag and drop if anybody's done access in the past might be a similar experience for you
folks or have a calendar table with months years quarters financial years
and just hook my date up to that table and slice and dice okay so that's the data model concept
so what do i do with it well if i just go to a brand new empty sheet and insert a pivot table
and it now says use this workbook's data model okay because i've loaded data there and
i click ok it's just a pivot table but see the icon slightly different
and it's now connecting to that data model and again i can just do department in my
rows and units and my values and you can start to write dax measures here as well which is a whole another
topic but the beauty of this is i can just go data
refresh and it'll pull the data in and the pivot table will update i don't have to load it to a table in
one refresh and then load it into a pivot table in a second refresh it all happens in one hit
and like i say the pivot table the data model power pivot capable of holding masses of data and
doing all sorts of really cool analysis so those are my three key features tables you need to know about structured
data get your data into columns power query can help you if your source data is not in nice structured columns
and needs headings removed data split apart joined together whatever it might be and then analyze
your data using pivot tables because you can slice and dice and it's all refreshable at a couple of clicks
so hope you find that useful please subscribe and i'll catch you later
Type =SUM( and then press Ctrl+Spacebar while inside the table. Excel automatically selects the entire column, including blank cells, so the formula works correctly and updates as you add new rows.
The three features—Tables, Power Query, and Pivot Tables with the Data Model—are core to Power BI as well. Power Query is actually the same tool in both applications. Learning to clean data, build relationships, and create measures in Excel prepares you directly for building robust Power BI reports.
The first step is to convert your raw data range into an official Excel Table by pressing Ctrl+T. This automatically adds structured formatting, keeps headers visible while scrolling, and ensures formulas auto-fill and extend to new rows.
Use Power Query (Get & Transform Data) to perform all your cleaning steps, like capitalizing names, merging columns, trimming spaces, or unpivoting wide data. When you add new source data, simply right-click the query table and choose Refresh to re-run every transformation automatically.
Unpivoting turns wide data (e.g., months in separate columns) into a tall, analysis‑ready format. This makes it easy to create Pivot Tables that can total or filter across all months without complex formulas or manual summing.
The Data Model is an in‑memory engine that can handle millions of rows, far beyond the worksheet’s ~1 million row limit. Use it when working with large datasets or when you need to create relationships between multiple tables. Load cleaned data by selecting 'Only Create Connection' and 'Add this data to the Data Model' in Power Query.
After loading your data into the Data Model, go to Insert > Pivot Table and choose 'Use this workbook's Data Model'. The field list will show a data icon indicating it is connected to the Data Model, letting you build reports with millions of rows and DAX measures.
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