Exciting Microsoft Excel Shortcuts You Never Knew

Top-Exciting-Microsoft-Excel-Shortcuts-You-Never-Knew

Microsoft Excel is one of the most used software at work. People who claim to know Microsoft Excel software mostly are the ones with basic or intermediate knowledge & understanding of Excel. The productivity increases only when we make the most out of the useful software, and gain mastery.

There are many hidden gems and short cuts within Excel, that hardly anyone talks about. I am amazed when people with years of Excel experience tell me they haven’t heard about these. What a waste of time…

‘Let us discuss in this series the ultimate tips in Excel that will make things snappier, and make your co-workers say, “how did you do that??”. They will save a lot of time for you too and improve your productivity.

Tip Number 01 INSERT SERIAL NUMBERS IN A FLASH

What do we when we have to insert Serial Numbers in Excel? We type the number 1 in the cell A1, then 2 in the cell A2, and finally select both the cells & drag the mouse pointer until we get the required serial numbers generated. Right?

But what happens when we need Serial numbers until 100? 200? Or more?

Do we keep dragging? Certainly not!

There is an ultimately easy way in which you can just flash fill the serial numbers to whatever value needed.

Insert Serial Number in a Flash

Here are the steps:

Input Number 1 in the first cell

Step 1 Input number in Cell A1

Select Fill > Series from Editing Ribbon of Home Tab

  1. Home> Fill > Series

Step 02 Select Series from Fill option

  • Select Columns from the Dialog box, give Step & Stop values and Hit OK.

Step 03 Select Column and give stop value

NOTE: If you are looking to Fill Rows instead of columns, just select Rows in the dialog box and follow the same steps.
Bet you didn’t know this trick… Well, now you do.

Tip Number 2 FORGET COPY+PASTE – JUST DRAG & DROP

When we have a set of data in one column & we want it to move to another column. What do we do? Select them all, copy or Hit CTRL C and select the destination column, and paste or hit CTRL V?

Forget the hassle, now select the required data, just Drag & drop to the destination.

Drag and Drop to Copy

Tip Number 3: COPY MULTIPLE VALUES USING THE CLIPBOARD

Working with multiple values? Forget the hassle of copying and pasting one by one.
Use the built in Clipboard feature of Excel.

You can expand the clipboard from the icon lists or use the Win (Windows Key) + V to click on the required values

Copy Multiple values using Clipboard

Tip Number 4: DUPLICATE A SHEET IN JUST ONE-CLICK

Want to copy the whole sheet? Are you selecting and copy pasting?
Or right click, copy, select the sheet, move to bottom?? So many steps for duplicating the sheet?

Now Duplicate a Sheet like a Pro!

Just hold down Ctrl + Drag & Drop the sheet to desired position.

Duplicate sheet by drag and drop

Tip Number 5: UNDO & REDO IN ONE HIT

Undo & Redo would be the most used operations in Excel.
Now do undo and redo with just one click.
Use the buttons on top.

Undo and redo in one click

Tip Number 6 Use the QUICK ACCESS TOOLBAR

Tedious to find the operations that you frequently use?

CHANGE ALL CAPS TO Mixed Case for Next 3 Rows.

CLICK THE DROP DOWN ARROW TO SEE THE OPTIONS
YOU CAN ADD THE FREQUENTLY USED OPTION TO QUICK ACCESS TOOLBAR

EXTRA TIP: YOU CAN ADD ANY OTHER COMMANDS THAT YOU USE FREQUENTLY

Quick Access Toolbar

Hope that helps! Want to learn more exciting tips, tricks & shortcuts and improve your productivity in Microsoft Excel?

If you wish to build your knowledge to have a better Excel Operations knowledge, you must start working on it. You will do well in your career, and get ahead faster, even land that dream job with better skills & competence in Excel.

We at Intellisoft are here to guide you.

Intellisoft Systems offers 2 day extensive workshops on Microsoft Excel.

Simply pick a program – Basic/Intermediate Excel OR Advanced Microsoft Excel

Join us to get more out of Microsoft Excel to make the best use of the software in your day-to-day work!

Top 5 cool Career options that rely on Data Analysis

Data Interpretation & Analysis

What Is Data Analysis? And How Can You Start Learning It Today!

Did you know that Data science and Analysis positions are often the hardest ones for a company to fill?

Thanks to exploding demand for data professionals, there are a ton of open roles and not enough candidates to fill them.

Translation? Data analysis is an exciting field to get into and the career prospects are amazing.

Now, just to clear up a common misconception right off the bat: you don’t need to be a math/computer science/coding whiz to land a job in data analysis.

But do you know that you start a career in data analysis if you have no background in it? All you need is to choose right course and guidance.

Today, let us discuss the Top 5 on demand careers tat rely on Data Analysis.

Top Career options that rely on Data Interpretation and Analysis

Popular Careers That Rely on Data Analysis

One really cool thing about gaining data analysis skills is that they don’t lock you into a single career. Sure, you could become a data analyst and stay there for decades if you love it–but there’s also the freedom to pivot in other directions if you choose.

Businesses in nearly every industry use data analytics to power decisions, gain a competitive advantage, boost sales, win new customers, improve internal operations, maximize profits, etc. This makes data analysis skills useful in many roles.

  1. Data Analyst

  • The basics of data analysis involve retrieving and gathering large volumes of data, organizing it, and turning it into insights businesses can use to make better decisions and reach conclusions.
  • To share their findings with business decision-makers, an analyst (or data visualization specialist) may create charts, graphs, etc.

QUICK FACTS ABOUT DATA ANALYSIS AS A CAREER:

  • You can work in a wide variety of industries like healthcare, finance, marketing, fast food, retail IT, etc. Whatever you are interested in!
  • Average salary: $62,453
  • Demand has exploded for data analysts because we are creating more and more new data every day. For example, Google processes 40,000+ search queries every second on average (3.5M searches each day, 1.2 trillion searches per year).
  • And this continues to climb!
  • Data Analyst ranked #35 in Glassdoor’s 50 Best Jobs in America, 2020

If you are looking to become Data Analyst, check out our 2 days course on Data Interpretation & Analysis.

  1. Business Analyst

  • They identify meaningful patterns in data to drive business decisions, working closely with business VPs and senior managers.
  • Their duties may involve predictions, optimizations, risk management, and so forth.

QUICK FACTS ABOUT BUSINESS ANALYSIS AS A CAREER:

  • A Business Analyst is mostly concerned with the day-to-day operations of a business and how to fine-tune business processes
  • Great if you’re interested in/have a background in business or finance
  • Less science/math based than the traditional data analyst role
  • Average salary: $68,346

Lean to Analyze & Report Data with Power BI like a master in just 2 days at Intellisoft Singapore!

  1. Product Manager

  • Product managers own and guide the success of products from conception to launch. Each stage requires data analytics!
  • You must analyze the market for trends and problems to solve, leverage data to determine how to improve features, and figure out how to make the product even better in subsequent versions.

QUICK FACTS ABOUT PRODUCT MANAGEMENT AS A CAREER:

  • All businesses have products (services count!). This opens a ton of possibilities as far as what industry or type of company you can work in
  • Great for those coming from a customer-facing background as you can better understand users
  • Average salary: $108,992
  1. Digital Marketer

  • Digital marketers must understand consumer habits/motivations, detect changing trends, and track performance to improve ads, social media campaigns, and SEO strategies.

QUICK FACTS ABOUT DIGITAL MARKETING AS A CAREER:

  • Successful digital marketers must rely on data!
  • Whether it’s identifying user demographics, measuring clicks and conversions to determine campaign success, or sifting through historical data to choose high-performing strategies, data is important
  • Great hybrid role for someone coming from a content creation, advertising, or traditional marketing background
  • Average salary: $57,473

Learn Digital Marketing fast in just 2 days at Intellisoft Singapore.

  1. Quantitative Analyst

  • Quantitative analysts (“quants”) are data analysis professionals who work in the financial industry, leveraging data and data models to manage risk, predict changes in the valuation of stock and bonds, and make data-driven investment decisions.

QUICK FACTS ABOUT QUANTITATIVE ANALYSIS AS A CAREER:

  • Great if you love math!
  • Perfect role for someone who can’t decide between tech and finance
  • Usually requires a master’s degree in a related field
  • Average salary: $106,751

Intellisoft presents to you a Data Interpretation & Analysis Workshop that is highly practical, where the participants learn by doing several exercises using Predictive Analytics – Correlation, Regression & Modelling Techniques to Analyze and Interpret data.

We also cover advanced Excel data analysis topics like Data Tables, Using Goal Seek, Performing Scenario Analysis, and Advanced Pivot Table techniques in analyzing data within Excel.

Register Online now to learn The Secrets of Data Analysis With Excel, & Be a Power Ninja Data Analyst!

P.S: If you are already an Excel Expert in Data Analysis, its time to up-skill yourself with Data Analysis using Power BI

Discover Lesser Known Features of Excel

Hidden features of Excel

Want to go beyond the common use of Excel and Explore its Extremely Useful but Lesser-Known Features of Microsoft Excel?

Microsoft Excel’s extensive features can help you to increases productivity and also saves time. Become proficient in Data Management & Business Analytics – Turn Data into Insights, Develop better tables & charts.

Lesser Known Features of Microsoft Excel

Conditional Formatting:

Apply formatting to cells automatically depending on the value of the cell. It is also a powerful feature, given that conditions can be based on any Excel formula. Conditional Formatting works by letting you set rules for how cells can be customized.

Conditional formatting makes it easy to highlight required cells or ranges of cells, emphasizing unusual values. In addition to that, it is used to visualize & analyze data in Excel by using data bars, color scales, and icon sets. Overall, it helps you to identify important data faster.

Learn Lesser Known Shortcuts of Excel at Intellisoft Singapore
Learn Lesser Known Shortcuts of Excel at Intellisoft Singapore

Advanced Filters:

This Advanced command works differently from the Filter command in several ways. It displays the Advanced Filter dialogue box instead of the Auto Filter menu. You can filter the data in place, or to a different location. You can also specify that you want to see unique items only.

All the duplicates are removed from the filtered list, with Advanced filter. The Data tab contains all the features of Advanced Filters. The advantage of using advanced filter is that you can see the filtered criteria in Excel cells. You can also easily add new filters by typing the values directly in the cells. Thus, it is absolute must learn feature.

Learn Advanced Filter for more Productivity at Intellisoft Singapore
Learn Advanced Filter for more Productivity at Intellisoft Singapore

Database Functions:

Database functions is a Seldom used Gem in Microsoft Excel. With this, you can not only perform basic calculations but also use complex criteria, that allow you to perform the calculation for a specified subset of the records in your database.

These functions treat the entire set as a Database, just like a SQL Database.

Learn the Database Function at Intellisoft Singapore
Learn the Database Function at Intellisoft Singapore

Consolidating Multiple Worksheet:

If you receive information in multiple sheets or workbooks that you want to summarize, the Consolidate command can help you pull data together onto one sheet. It allows you to combine information from multiple workbooks when you need them one place.

The Excel consolidate function lets you select data from its various locations and creates a table to summarize the information for you, automatically, painlessly.

Learn Consolidate Function at Intellisoft Singapore
Learn Consolidate Function at Intellisoft Singapore

Preventing others from Changing Master Data:

This feature allows you to prevent other users from accidentally or deliberately changing, moving, or deleting data in a worksheet. You can lock the cells on your Excel worksheet & then protect the sheet with a password.

With worksheet protection, you can make only certain parts of the sheet editable and users will not be able to modify data in any other region in the sheet.

You can lock the structure of your workbook by specifying a password.
Locking the workbook structure prevents other users from adding, moving, deleting, hiding, and renaming worksheets.

While Microsoft Excel is packed with gems, these are just a few advantages of learning Advanced Excel with us at Intellisoft. We’ll make you an expert in these lesser-known, but advanced features in Excel.

Microsoft Power BI: Super Charge Your Data Analysis Process

Learn Power BI for Data Analysis at Intellisoft Singapore

Do you analyze data? Whether you work in Sales, Finance, Manufacturing, Logistics, Engineering or Customer Service, there is a constant need to analyze data.

With the advent of the industrial age and the conveyor belt, gaining efficiency and reducing  errors has been a constant battle. We need more and better ways to analyze data. Today, billions of new data points are gathered every minute. There is more storage available in the cloud, and there is no dearth of computers big and strong enough to process it quickly.

Yet, there is a lack of know how, a lack of understanding on how to analyze data. As a result, more companies are still not able to tap on the promise of Big Data, Artificial Intelligence, Internet of Things or Machine Learning.

To Understand the State of Data Analysis, and look at solutions, we need to understand a few fundamentals about Data, and Data Analysis.

Why Do We Want To Analyze Data?

Duh!

Of course there are a gazillion reasons.

No… Not really. The need to analyze data is routed in only a few basic reasons.

  1. To Gain Insights about our data. Why?
    • So that we can find out what works, and what does not. So we can compare the past results with another company, another product, another period, and see if there is some insight to glean.
    • When we find out what works, and find out where the problem lies, we can then perform Root cause analysis – which can tell us the real problem to fix. When we have fever, we can take a tablet of Paracetamol (Tylenol/Panadol/Aspirin).However, the fever is not the disease. It is a symptom that we develop, when something is not right with our body, and the body is fighting the bad bacteria/virus. During this fight, the temperature rises. The Paracetamol can reduce the fever, but it does not remove the fight.

      To go to the root cause of the problem, a visit to the doctor is required. The doctor may analyze the problem by looking at your Blood pressure, heart rate, x-ray, probes etc. and figure out the issue. If it is indeed bad bacteria causing some area to swell, the doc can issue a dose of Anti-biotics, which fight the bad guys, and treat the real problem.

      Once the bad guys are gone, the fever automatically comes down to the normal level.

  2. Make Better & Faster Decisions
    • Based on the insights, we are able to make better decision, and faster too.  And backed by data, we can have more confidence on our decision making process… rather than relying only on the gut-feeling.
    • With statistical methods of analyzing data and forecasting trends, the accuracy of the analysis, and insights gets deeper as we generate better analytics. We can then make a more informed decisions faster.

How Do We Analyze Data: The Traditional Data Analysis Process

The data analysis process is simple, and we have been following it for so long that it has almost become a habit… albeit a not so good habit. What we usually do is outlined below:

  1. Get the Raw Data File From The Source System
    • This could be a Text File, a Comma Separated Values (CSV) File, a PDF file, an SQL data dump, an Access or RDBMS source (think Oracle, Microsoft SQL Server or MySQL Database)
  2. Load into Excel
    • Load this data into Excel. This could be easily achieved, but this is a manual process, that has to be repeated every day, week, month etc., whenever the data changes, or new data arrives.
  3. Clean
    • Incoming data is seldom clean. There will be missing values, duplicates, wrong headers, mis-aligned dates in YYYYMMDD or some other odd text or  numeric layout, and other data issues to fix.
    • To do this, you’ll have to write some simple formulas, functions, data cleanup steps, fix dates, and fill blanks or nulls with an appropriate values. This is all manual process, unless automated with the help of macros.
  4. Lookup Master Data
    • Once the data is cleaned-up, we need to change the codes with values, get the correct product price, employee salary, or the date of manufacture from some master data tables. This often requires expertise with Excel formulas like VLOOKUP & HLOOKUP.You may have to do some interim calculations too, create some calculated columns, and create a wide table with all the fields/columns required for the analysis in the next step.
  5. Create Pivot Tables
    • To analyze the data, one of the quickest and fastest ways is to create a Pivot Table. Pivot Tables help you to summarize data – create Sum, Count, Differences, Cumulative Totals etc. and split it by the Rows & Columns.Further, you can create multiple Filters or Slices using the Filters or Slicers options.
  6. Keep Refreshing
    • By default, a Pivot Table does not refresh automatically. You have to either set up this option, or refresh manually.And even if you refresh it either way, it may not pick the additional, new data, for the range of the source data may be set explicitly to an Absolute range.

      Changing the Absolute range always is an extra step that you have to remember to do.

  7. Create Charts
    • To present the data, we mostly rely on the popular Bar Charts, Column Charts, Pie Charts, and the newly introduced Map, Funnel or Tree map charts.However, charts often get too busy, and there are not too many options to customize them.

      Once the charts are ready, you don’t want to send the entire Excel file, with the charts. And sending only the charts is not an option, without the underlying data.

      This brings us to the next point…

  8. Paste Charts Into PowerPoint
    • PowerPoint is the darling of the corporate boardroom.No presentation is ever complete without a mega slideshow. So people use Excel to analyze the data, and the paste the charts into PowerPoint.

      They create hundreds of slides, and then marvel at their slide deck. Finally, they are ready for the big presentation to the directors.

  9. Present to Management using PPT Slides
    • The PowerPoint show begins, and your audience is thrilled by your analysis, prestation and charts. You are secretly gloating over the success. Suddenly a member of the audience has a question – can you compare this quarter with a quarter 5 years ago?
    • Well… yes you can. But you don’t have the data right now.You’ll have to get back to your desk, do the right analysis, and probably show them the chart in your next quarterly meetup.
    • The opportunity window is so small, by the time you get back to them, they probably do not need the information any longer. You have to cut a sorry figure, and all your great work comes to nothing…

What’s wrong with this whole scenario. Let’s find out.

Problems With Traditional Approach To Data Analysis

There are a number of major problems in the Traditional approach of Data Analysis that has been around for the past 20-30 years… pretty much all along the advent of Spreadsheets. To name a few:

  • Excel Charts and Reports Are Not Interactive
    • Traditional Excel or PowerPoint Reports/Charts are not interactive. They are just screen shots. So they don’t change dynamically. Good because it will always be the same, and speed of execution will be fast. Bad because it can’t be used again… And has to be manually refreshed each time.
  • You Can’t Share Excel Files Easily
    • People are worried when it comes to sharing their Excel files. They have security, and privacy concerns. And an Excel file is quite fragile. Change of any path, sheet, formula or cell can break the workings completely, rendering it completely useless.
  • Excel VLookups are Slow & Cumbersome To Use
    • Excel files rely on Vlookups to pick the correct employee salary, product description attributes, or prices. It works great, and has been the mainstay for Excel’s popularity. However, VLookups recalculate extremely slowly on a linked Excel file, which has anywhere in excess of 200,000 records. At half a million, things absolutely come to a standstill, and many times Excel will give you the dreaded Blue Screen and simply crash.
  • Excel Takes Time to Clean & Refresh every time
    • Newly added data has to be cleaned up. It takes time, and is a slow, painstaking process. If you forget to update, or refresh on time, it shows old/wrong data and is a complete waste. New data has to be added, and refreshed each time.
  • Security of Excel Data is Quite Fragile
    • Sending Excel reports without the data is simply not possible. And sending it with data raises Security concerns. Any leaks will destroy your pricing, and lose your competitive advantage. And any broken links will render the data useless too.
  • A Very Small, Finite Limit of Excel Rows
    • There is only a finite number of rows that can be loaded into Excel. The current limit is a million rows (1,048,576 to be exact.). But in today’s world, a million rows is considered nothing. We need to look at ways to expand the limit to millions of rows.
  • Pivot Table Limitations
    • Pivot tables are quite slow to refresh. Further, they do not refresh automatically. And, there are very few ways to visualize the data – only sum, count, average, and YTD etc. It lacks the rich data transformations like Year on Year, Quarter on Quarter Analysis. It is not very good at showing the total overall percentages and its breakdowns.
  • Wasted Time in Cleanup
    • 80% time is spent  to clean the data, and only 20% is left for us to analyze it. This does not accord the time and importance data analysis requires. The equation is completely skewed out. It should be the other way round – 20% to clean, and 80% time for analysis.

Is There A Solution To All These Data Analysis Woes?

With the current state of Business Intelligence Tools, there is more than a glimmer of hope. The industry has finally arrived to a point where Big Data processing is becoming commonplace, and is no longer in the realm of the wealthy or the academics. Today, the common man’s BI tools are already working wonders.

  • Need for Interactive System
    • Today, the top of the breed BI tools like QlikView, Tableau and Microsoft, all offer dynamic ways to present data, and interactive ways to visualize it, in numerous ways.
  • Write Once. Use Again.
    • Now the steps of cleaning the data can be recorded, and used again and again, each month with hardly any tweaks. This reduces the need for manual cleanup and improves accuracy and reliability. It offers ways to scale up the data analysis process and work on more value added services.
  • Shift Cleanup vs Analyze Ratio to 20-80.
    • With the added interactivity and automation, finally more time can be spent in analyzing the data. Cleanup jobs are set in the background, and they can continue to run on auto-pilot. Plus, we are able to process data now in real time, which drastically improves the prospects of having usable, actionable data and insights.
  • Load Data From Multiple Sources
    • The ability to load and merge data from multiple sources is becoming much easier, and automation is making this chore into a breeze that is a fun to do activity today.
    • Data from Text files, CSV, Excel, Databases, XML, Websites, Live Tickers, On and Off site Corporate Data Warehouses is becoming a reality. This opens up new possibilities.
  • Remove need to do complex, slow VLookups
    • Forget slow VLookups, and be able to lookup any row, any column, irrespective of the order or distribution of the data rows and columns. This frees up new options and makes merging data a simple matter. In fact, now we do not need to have very wide tables..We can have shorter (Less wide – less number of column in a table And  have taller tables (More data rows)
    • For Tips on Data Modeling, read our Data Modeling Considerations in Power BI.
  • Load Huge Data Volume, beyond 1 million rows of Excel
    • Options like Microsoft Power Query & Microsoft Power Pivot enable you to load a few million rows a simple matter. And there is no need to worry about running out of space in Excel or its bandwidth – the ability to process a few million rows.

Microsoft Power BI: The Magic Wand To Vanquish All Your Data Analysis Problems

  • Super Fast
  • Dynamic, Interactive
  • Handle Big Data With Ease
  • Hundreds of Data Sources
  • Build Relationships. End of VLookups
  • Multiple Ways to Refresh
  • Visualize First
  • Generate Insights
  • Share With Ease
  • New Ways to Visualize – Maps, Tree Maps, Funnels, KPIs, Speedometers
  • Security of Sharing
  • Multi Device Support – Web, Desktop, Mobile, Tablet, Without installing any additional software
  • Real Time Processing
  • Multiple Dashboards
  • Slice & Dice To your Heart’s content

Article Written by Vinai Prakash, MBA, PMP, GAP, ACTA Certified

Additional Resources for Power BI

Training Courses

Data Analytics & Visualization with Power BI

Learn Microsoft Power BI Suite For Better Data Analysis & Reporting

Power BI Tips, Tricks & Video Tutorials

Power BI Tip #2: Reference Query Results in Another Query With Power Query [Video Tutorial]

Microsoft Power BI: Super Charge Your Data Analysis Process

Power BI Tip #6: Fixing The Vertical Axis in Power BI Visualisations

Power BI Tip #5: All About Slicer Controls in Power BI

Power BI Tip#4: Enter Data Into Power BI Quickly [Video]

Power BI Tip #3: Quick Formatting of Power BI Visuals

New Features in Excel

New Features of Excel

Do you know that Microsoft Excel comes with a plethora of new features. It is worth investing the time to learn exciting Excel features, and make the most of the latest and greatest spreadsheet software by Microsoft.

So what is so great about Microsoft Excel? Plenty. Our Master Trainer, Vinai Prakash take you to a tour of the new features in Excel.

Do You Know These Advanced Excel Tricks?
Do You Know These Advanced Excel Tricks?

1. Quick Analysis Tool: The new Quick Analysis tool allows you to convert your data into a chart or a table in just two steps. Preview your data with conditional formatting, spark lines, or charts, and make your choice stick in just one click.

2. Instant Flash Fill: Flash Fill enters the rest of your data in one fell swoop, following the pattern it recognizes in your data.

3. Chart Recommendations: With Chart recommendations, Excel recommends the most suitable charts for your data. Get a quick peek to see how your data looks in the different charts, and then simply pick the one that shows the insights you want to present.

4. New Functions: There’s a whole slew of  new functions in the math and trigonometry, statistical, engineering, date and time, lookup and reference, logical, and text function categories.

5. Smart Pivot Tables: In Excel, When you create a PivotTable, Excel recommends several ways to summarize your data, and shows you a quick preview of the field layouts so you can pick the one that gives you the insights you’re looking for.

In the new Excel Data Model, you’ll be able to navigate to different levels more easily. Use Drill Down into a Pivot Table or Pivot Chart hierarchy to see granular levels of detail, and Drill Up to go to a higher level for “big picture” insights.

6. Improved Collaboration Tools: Working with other people on shared files in real time is a double-edged sword. While it’s useful to do this, you will face problems when two people try to change the same item at the same time. In Excel you can share and work collaboratively on files with others via SkyDrive using the Excel WebApp, and multiple people can work on the same file at the same time.

7. Standalone Pivot Charts: A PivotChart no longer has to be associated with a PivotTable. A standalone or de-coupled PivotChart lets you experience new ways to navigate to data details by using the new Drill Down, and Drill Up features. It’s also much easier to copy or move a de-coupled PivotChart.

Learn Excel in 2-3 Short Day Training: With so many new features, it is important that you learn these features, to improve your efficiency, productivity, and make use of these new  features. After all, what is the point of using the latest software if you do not use its latest and greatest features.

Learn to use Excel features like Vlookup, Macros, Pivot Tables, Pivot Charts, Tables, Advanced Functions and Formulas, Sharing, Collaboration, Removing Duplicates, and much more…

Do contact us at Intellisoft to attend our Basic Excel, or Advanced Excel training courses at our training centre, or have a Customized Corporate Training on Excel at your office.

We also provide WSQ Funded courses for Excel, which means that up to 90% of the course fee is funded by the Singapore Government. Terms & Conditions apply, so contact us for more information on training fees, Grants and customized solutions for your company.

Avoid Crowded Worksheets with this button

Learn the Hot Keys to Avoid Crowded Worksheet at Intellisoft Singapore

One simple way to reduce worksheet crowding is to rotate your column labels so that they read up, down, or vertically.

What are Advanced Excel Skills?
What are Advanced Excel Skills?

Add them to the Format toolbar, as follows:

  1. Choose Tools + Customize.
  2. Then Click the Commands tab.
  3. Under Categories, choose Format.
  4. Under Commands, find the Vertical Text button and drag it into place on your Formatting toolbar.
  5. Repeat Step 4 to drag the Rotate Text Up, Rotate Text Down, and, if needed Angle Text Upward and Angle Text Downward buttons to the Formatting toolbar

Now, whenever you want to angle or rotate text, just select the cell(s) and click the appropriate button. It will save you space, and make it easier to read and avoid eye strain.

Check this out if you are still Wondering Why learn advanced Excel?

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