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Rahim Zulfiqar Ali

Introduction:

Are you ready to take your Excel skills to the next level?

Do you want to pursue a career in Excel related work?

Are you finding that employers these days want 'Advanced Excel Skills'?

Or maybe you've started a new job that requires more advanced Excel skills.

Do you struggle with Excel?

Not sure which formula to use for your situation?

Are you tired spending hours online trying to get "RIGHT" help?

When asked to make a dashboard or report, not sure where to start?

Read more

Introduction:

Are you ready to take your Excel skills to the next level?

Do you want to pursue a career in Excel related work?

Are you finding that employers these days want 'Advanced Excel Skills'?

Or maybe you've started a new job that requires more advanced Excel skills.

Do you struggle with Excel?

Not sure which formula to use for your situation?

Are you tired spending hours online trying to get "RIGHT" help?

When asked to make a dashboard or report, not sure where to start?

Module K – 15 Excel Functions Refresher, Module J – Exclusive Templates, Module I – Additional Learning 2 – Advanced Excel – More Scenario Examples, Module H – Additional Learning 1 – Dashboard Reporting in Excel with Tips, Module G – Modern Excel – DAX and Power Query, Module F – Pivot Table, Module E – Excel Charts and Visualizations, Module D – Data Analysis, Module C – Excel Formulas and Functions, Module B – Excel Essentials, Module A – Excel Basics (for Beginners)

Our Excel course is designed to take you from zero to hero so you can confidently list 'Advanced Excel Skills' on your resume/CV, or quickly get to grips with the requirements of a new job.

I have used the Excel 2021 / Office 365 to record these videos. Almost everything covered in this course will work for all the Excel versions (

This Complete Excel Course is for two types of people:

  1. Excel beginners, i.e. anyone looking to learn Excel from scratch

  2. Excel intermediate and Excel advanced users who want to make sure their skills cover all the essentials. This includes many Excel tricks and hidden features few data analysts know of.

The Excel Essentials for the Real World Course covers ALL the fundamentals an Excel beginner needs to know. BUT it also fills in the gaps for Excel Intermediate and Advanced users. It's for corporate professionals who feel comfortable with Excel but not 100% confident.

This is more than an Excel Basics Course. It starts off easy and adds in tips and tricks many Excel advanced users don't know of.

COURSE UPDATED to Include the BRAND NEW Excel Functions available in Microsoft 365 such as:

  • Excel's new XLOOKUP function

  • New FILTER function in Excel

  • SORT, SORTBY & UNIQUE functions

PYTHON Module is added

Enroll now

What's inside

Learning objectives

  • Our excel course is designed to take you from zero to hero so you can confidently list 'advanced excel skills' on your resume/cv
  • Dashboard reporting in excel with tips
  • Advanced excel - more scenario examples, data analysis, pivot table
  • Modern excel - dax and power query
  • Wow your boss by unlocking dynamic formulas with if, vlookup, index, match functions and many more
  • Create dynamic reports by mastering one of the most popular tools, pivottables

Syllabus

Module A - Excel Basics (for Beginners)
1 - Introduction to Excel
2 - Relative & Absolute Cell References
Module B - Excel Essentials
Read more
03 - Formatting Paste Special
04 - Excel Tables
05 - Data Filters and Sorting
06 - Data Validation Tips & Tricks
07 - Named Ranges
08 - Worksheet and Workbook Protection
09 - Printing and Page Layout Tab
10 - Handle Formula Errors
Module C - Excel Formulas and Functions
11 - Using IF Formula, Nesting IF Formulas
12 - Using IF with AND OR Formulas
13 - COUNTIFS, SUMIFS, AVERAGEIFS Formulas
14 - Excel TEXT Functions
15.1 - VLOOKUP Function, INDEX, MATCH Function
15.2 - INDEX and MATCH Function
15.3 - Match Type +1 OR -1 in Match Function in Microsoft Excel
16 - XLOOKUP, XMATCH Function
17 - Indirect Function
18 - Offset Function
19 - Formula Editing Tips & Tricks
20 - Date and Time Functions
21 - Maths Functions
22 - Dynamic Array Formulas

AI Converts Excel Examples into Formulas

Return Multiple Values or Outputs via FILTER Function in Microsoft Excel 365
UNSTACK DATA EXAMPLE in Excel 365 | Medical Dataset, Logics Relevant for all

Comparison Between XLOOKUP and FILTER Function for wildcard contains substring search & Return Multiple Results in Excel 365 | Excel 365 vs. Google Sheets | #Excel #GoogleSheets #Analytics #Data #Formula


=TRANSPOSE(XLOOKUP("*"&G6&"*",Data[Motivational Books Title],Data,,2))


=TRANSPOSE(FILTER(Data,ISNUMBER(SEARCH("*"&G14&"*",Data[Motivational Books Title]))))


Example 2:

=TRANSPOSE(XLOOKUP(I4,BankDB[Region],CHOOSECOLS(BankDB,1,2,4)))


=TRANSPOSE(FILTER(CHOOSECOLS(BankDB,1,2,4),I12=BankDB[Region]))

Fuzzy Lookup in Microsoft Excel / POWER BI (2 Methods: Addin or Power Query) | The Fuzzy Lookup Add-In for Excel performs fuzzy matching of textual data in Excel.


VLOOKUP, INDEX+MATCH, XLOOKUP & FILTER Function does not return the results from Approximate Match of Text Values.

Two Way XLOOKUP with Multiple Conditions in Excel 365 | Human Resource (HR) Example | Group Health Insurance Proposal - Calculation of Premium

Connect Slicers with GROUPBY or PIVOTBY Function in Microsoft #Excel 365 | Useful Tips for Dynamic Modern Excel Dashboards | GROUPBY, LAMBDA, SUBTOTAL, UNIQUE, FILTER, SLICERS, VISUAL | #DashboardReporting #Analytics


=GROUPBY(Data[Salesperson],Data[Revenue],SUM,0,0,,BYROW(Data[Category],LAMBDA(r,SUBTOTAL(3,r))))


Dynamic Chart Title: ="Revenue based on Category: "&TEXTJOIN(", ",TRUE,UNIQUE(FILTER(Data[Category],SUBTOTAL(103,OFFSET(Data[Category],ROW(Data[Category])-MIN(ROW(Data[Category])),,1)))))

WildCard CF "Highlight Total Row" | Quick SUM for Multiple Ranges in a Column

Module D - Data Analysis
23 - Conditional Formatting
24.1 - WHAT IF Analysis - Data Table
24.2 - WHAT IF Analysis - Goal Seek
24.3 - WHAT IF Analysis - Scenario Manager
25 - Linear Regression
26 - Data Analysis Feature
27 - Data Storytelling Tips

Add Symbols or Arrows in Custom Formatting in Excel

Timestamp Cells HACK! | Create Timestamp in Microsoft Excel

How to Find High-Value Customers in Microsoft #Excel ? Dynamic Array Formulas or Pivot Table


=GROUPBY(data[Customer ID]:data[Customer Name],data[Order Amount],SUM,,0)


=SORT(FILTER(C7#,E7:E801>80000),3,-1)

Learn Advanced Descriptive Analytics in Excel | Examples of Human Resources Management Dataset | 6 Questions


1. 10 Eldest Members (Old Admissions)

2. 10 Youngest Members (New Admissions)

3. 10 Eldest Members (Date of Birth)

4. 10 Youngest Members (Date of Birth)

5. Birthday in Current Month

6. Anniversary in Current month


Q1. Filter all Employees who are Reporting to Manager Rahim?

=VSTACK(HR_Data[#Headers],FILTER(HR_Data,HR_Data[Manager]=I4))


Q2. Filter all Employees who are Reporting to Manager Rahim having Salary >= 80,000 & Male?

=VSTACK(HR_Data[#Headers],FILTER(HR_Data,(HR_Data[Manager]=I49)*(HR_Data[Salary]>=80000)*(HR_Data[Gender]="Male")))


Q.3 Salaries of People Reporting to Rahim ? Descriptive Analytics

=FILTER(HR_Data[Salary],HR_Data[Manager]=B74)


Q4. Filter all Employees who are Reporting to Manager Rahim (ID, Names, Gender, Age, Salary)?

=VSTACK(CHOOSECOLS(HR_Data[#Headers],{1,2,4,5,7}),FILTER(CHOOSECOLS(HR_Data,{1,2,4,5,7}),HR_Data[Manager]="Rahim"))


Q.5 Summarize Department wise based on Age Filter?

=SORT(UNIQUE(FILTER(HR_Data[Department],HR_Data[Age]>=C163)))

=COUNTIFS(HR_Data[Department],E166#,HR_Data[Age],">="&C163)

=SORT(E166#:F166#,2,-1)


Q.6 Find Names and No of Employees Reporting to Manager?

=TEXTJOIN(", ",TRUE,FILTER(HR_Data[Full Name],HR_Data[Manager]=B188))

=COUNTA(--TEXTSPLIT(C188,", "))

Random Data Generator with PYTHON in Microsoft Excel 365

How to do Reverse Icon Sets in Conditional Formatting in Excel ?

Courier Delivery Process Flow / Tracker | HR Hiring an Employee Tracker in Excel

Module E - Excel Charts and Visualizations
28 & 29 - Introduction to Excel Charts | Dynamic Advanced Charts
Concept of Actionable Reporting

Information design is the practice of presenting information in a way that's easy to understand and use. It's like translating complex data into a language everyone can comprehend. By using visual elements, typography, and layout, information designers create clear, concise, and engaging content.


Key goals of information design:


Clarity: Ensuring information is easily understood.

Efficiency: Making information accessible and usable quickly.

Effectiveness: Achieving the desired outcome or goal.

Module F - Pivot Table
30 - Pivot Table with Dashboard
31 - Advanced Pivot Table Tips & Tricks
Module G - Modern Excel - DAX and Power Query
32 - Top 10 Power Query Tips
33 - Introduction to Power Pivot
34 - Apply DAX in Power Pivot for Analysis
32.1 - How to Split Names and Emails from a List in Microsoft Excel FORMULA
32.2 - Extract Dates from Sentences Located anywhere in a Cell in Excel

32.3 - How to convert Stack Data into Unstack different approaches  Unstack Uneven Data Excel Power Query

32.4 - Transform Data into Tabular Format - FORMULA or POWER QUERY You Decide
32.5 - An Introduction on 6 types of Joins in Power Query
32.6 - Left Outer Join & Right Outer Join in POWER QUERY
32.7 - Full Outer Join & Inner Join in POWER QUERY
32.8 - Left Anti Join & Right Anti Join in POWER QUERY

One Slicer for Two Different Datasets in Excel | Relationships | POWER PIVOT

Working with very LARGE Datasets | 4+ Million Rows | Power Query and Power Pivot | Big Data in Excel

How to Extract Dates From Text Strings in Power Query

How to Convert Multiple Headers Cross Tab Report into Tabular Data (Unpivot)

How to Calculate Hours Worked for Employees on Complex Data & to Summarize in Power Query or Dynamic Array Formula (GROUPBY & SORT) in Microsoft Excel

Import Data "Market Summary" from KSE STOCKS Website & Automate in Excel

Web Scraping "Add Column from Examples" Power Query in Excel

Normalize Data using Power Query

Combine Multiple Tables and Perform Aggregation Sum | POWER QUERY Solution | Data Transformation

Migrate Excel Data Model and DAX to POWER BI and Combine All Measures

How to Quickly Add Calendar Date Dimension Table in Microsoft POWER PIVOT in Excel?

Fuzzy Lookup (POWER QUERY) Approximate Match for Text in Microsoft Excel

Module H - More Learnings - Dashboard Reporting in Excel with Tips (DAX & Visualizations)
Module H - More Learnings - Dashboard Reporting in Excel with Tips

Sales Analytical Dashboard using Data Analysis Expressions (DAX) & Visualizations + Tips in Excel

Module I - More Learnings - Advanced Excel - More Scenario Examples
36 - Ageing Analysis Report in Microsoft Excel (VLOOKUP & Pivot Table)
37 - Excel Dashboards in Under 15 Minutes! Awesome Secret Tips & Tricks
38 - How to Split Names and Emails from a List in Microsoft Excel FORMULA
39 - NESTED IF, VLOOKUP, XLOOKUP, INDEX+MATCH Risk Rating Criteria in Excel
40 - SUMIFS Function Multiple Criteria Dates Between with Excluding WEEKENDS
41 - Wildcard Search in Excel
42 - How to Get Top Bottom Values by Formula in MS Excel
43 - Creating a Simplified GANTT CHART with AND Function
44 - Tour to Microsoft Excel Formulas and Functions
45 - How to Highlight Dynamic MAX and MIN in Excel Column or Line Chart
46 - Dynamic Highlight Above & Below Average in Column Chart in Microsoft Excel
47 - How to Extract a Quarter from a Date in Microsoft Excel
48 - How to overcome Excel Limitation of 10,000 Rows over Filter
49 - Two Dimensional Row-and-Column LOOKUP in Microsoft Excel

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Covers a wide range of Excel functionalities, from basic to advanced, which benefits learners with varying levels of experience
Includes modules on data analysis, pivot tables, and data visualization, which are essential for data analysts
Teaches dashboard reporting and modern Excel techniques like DAX and Power Query, which are valuable for business professionals
Features new Excel functions available in Microsoft 365, such as XLOOKUP, FILTER, SORT, SORTBY, and UNIQUE, which are useful for modern Excel users
Includes a Python module, which can be useful for data analysis and automation tasks within Excel
Uses Excel 2021 / Office 365 to record the videos, so learners using older versions may encounter some differences

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Microsoft Excel for Data & Business Analytics with these activities:
Review Excel Basics
Reinforce foundational Excel concepts like cell referencing, basic formulas, and formatting to ensure a solid base for advanced topics.
Browse courses on Excel Basics
Show steps
  • Review basic Excel functions and formulas.
  • Practice cell referencing and formatting techniques.
  • Complete a practice worksheet with basic calculations.
Review 'Excel 2019 Bible'
Supplement course materials with a comprehensive guide to Excel, covering a wide range of features and functionalities.
Show steps
  • Read chapters related to data analysis and visualization.
  • Practice examples from the book using provided datasets.
Complete Pivot Table Exercises
Sharpen pivot table skills through repetitive exercises, focusing on data summarization, analysis, and report generation.
Show steps
  • Create pivot tables from different datasets.
  • Experiment with various pivot table layouts and calculations.
  • Generate reports based on pivot table analysis.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Review 'M is for Data: An Alphabet of Data Literacy'
Supplement course materials with a book that provides an accessible introduction to data literacy concepts.
Show steps
  • Read chapters related to data analysis and visualization.
  • Practice examples from the book using provided datasets.
Build a Sales Dashboard
Apply learned skills to create a dynamic sales dashboard, visualizing key performance indicators and trends.
Show steps
  • Gather sales data from various sources.
  • Design a dashboard layout with key performance indicators.
  • Implement charts and visualizations to represent sales trends.
  • Add interactive elements like slicers and filters.
Follow Advanced DAX Tutorials
Refine DAX skills by following advanced tutorials, focusing on complex calculations and data modeling techniques.
Show steps
  • Find tutorials on advanced DAX functions and techniques.
  • Implement DAX calculations in Power Pivot models.
  • Analyze data using advanced DAX formulas.
Automate a Reporting Process
Initiate a project to automate a reporting process using Excel, Power Query, and VBA, streamlining data collection and analysis.
Show steps
  • Identify a manual reporting process to automate.
  • Use Power Query to extract and transform data.
  • Implement VBA scripts to automate report generation.
  • Test and refine the automated reporting process.

Career center

Learners who complete Microsoft Excel for Data & Business Analytics will develop knowledge and skills that may be useful to these careers:
Data Analyst
A data analyst interprets and visualizes data to help businesses make informed decisions, and this course helps build a foundation for that role. Data analysts frequently use spreadsheet software to manipulate data, build reports, and create dashboards. This course covers Excel basics, formulas, data analysis, pivot tables, data visualization, Power Query, and DAX, all of which are needed to succeed as a data analyst. The course emphasizes practical applications, including advanced techniques and scenario examples, making it highly relevant for aspiring data analysts.
Business Analyst
Business analysts use data to assess business processes, identify areas for improvement, and provide data-driven solutions, and this course is applicable for this role. Excel is a core tool for business analysts, used in data analysis, reporting, and creating dashboards. This course provides a strong foundation in Excel, covering everything from basic functions to advanced techniques like Power Query and DAX. The course's focus on practical scenarios and real-world examples may help business analysts use Excel effectively in their day-to-day work. One who hopes to become a business analyst can use this course to gain necessary Excel skills.
Financial Analyst
Financial analysts examine financial data to create forecasts, assess investment opportunities, and provide strategic recommendations, and this course is useful for this role. They utilize spreadsheets extensively for data analysis, financial modeling, and reporting. This course helps financial analysts build a foundation in advanced Excel functionalities including formulas, data analysis, pivot tables, and visualizations, all of which are core to the job. Its content on modern Excel, DAX, and Power Query is particularly useful for any financial analyst looking to maximize the power of Excel. Anyone interested in a career as a financial analyst can use this course to level up their Excel proficiency.
Management Consultant
Management consultants advise organizations on strategy, operations, and management, and this course will help build a foundation for this role. Excel is an essential tool for data analysis, modeling, and creating reports for clients. This course helps refine skills in Excel, from basic functions to advanced tools like Power Query and DAX. The course provides the skills needed to analyze complex data sets. Management consultants seeking to improve their data capabilities would benefit from this course.
Sales Analyst
Sales analysts analyze sales data to identify trends, evaluate performance, and help develop sales strategies, and this course helps build a strong foundation for the role. Sales analysts often use spreadsheets for tracking sales metrics, creating reports, and building sales dashboards. This course covers key Excel skills, including data analysis, visualization, and reporting. The course may help sales analysts gain familiarity with the tools they use often. Sales analysts looking to improve their efficiency and effectiveness of their Excel skills may find this course quite helpful.
Supply Chain Analyst
Supply chain analysts examine inventory, logistics, and distribution data to optimize processes, and this course will help build the foundation needed to perform this role. They use spreadsheets to track key performance indicators, create reports, and identify areas for improvement. This course provides applicable Excel knowledge, including formulas, data manipulation, and visualization. A supply chain analyst can gain critical skills to handle the data-heavy aspects of their job with this course.
Pricing Analyst
Pricing analysts analyze market data to determine optimal pricing strategies, and this course builds the foundation needed to perform this role. They use spreadsheets extensively for data analysis, modeling, and reporting. This course helps pricing analysts build a strong base for data analysis, visualization, and reporting using Excel. The course may help pricing analysts utilize advanced features in Excel effectively. Anyone seeking to become a pricing analyst can hone their skills with this course.
Market Research Analyst
Market research analysts study consumer behavior and market trends to advise on product development and marketing, and this course may be useful to those who wish to become one. They use spreadsheets to organize and analyze data collected from surveys, sales figures, and other sources. This course introduces the use of Excel for data manipulation, analysis, and visualization. It also touches on using tools for data exploration. The course content on data analysis and reporting helps a market research analyst use data effectively.
Marketing Analyst
Marketing analysts examine marketing data to identify trends, assess campaign performance, and offer recommendations, and this course may be helpful for that. Spreadsheets are useful for analyzing marketing data, creating performance reports, and tracking key metrics. This course may help marketing analysts develop data management, analysis, and visualization techniques in Excel. This course's focus on practical exercises may help marketing analysts extract actionable insights from their data. Anyone seeking a role as a marketing analyst can benefit from this course.
Operations Analyst
Operations analysts work to improve efficiency and productivity within an organization, analyzing data from various sources, and this course may be useful for anyone who wishes to pursue this role . They often use spreadsheets to track performance metrics, build reports, and identify trends for improvement. This course helps operations analysts build skills in data management and analysis. The hands-on experience with Excel formulas, pivot tables, and data visualization tools may help them manage operations effectively. The course's comprehensive approach may provide a solid base for any analyst.
Research Associate
Research associates assist in research projects involving data collection, analysis, and reporting, and this course may be useful. Spreadsheets are often used for data management and analysis in research. This course will provide research associates with the basic tools required to conduct data analysis. The course content on data manipulation, formulas, and reporting may help anyone seeking to become a research associate. With this course, anyone can build a strong base for data-driven research projects.
Human Resources Analyst
Human resources analysts examine employee data to improve HR policies and processes, and this course may be of use. HR analysts use spreadsheets for tracking employee data, creating reports, and performing analysis on workforce trends. This course introduces Excel features like data management, analysis, and reporting. This course may provide a solid base for any HR professional seeking to analyze data more effectively for use in strategic planning.
Actuary
Actuaries analyze risk and uncertainty using statistical methods, and this course helps with the quantitative part of the role. Spreadsheets are a common tool for data manipulation, modeling, and scenario analysis, especially in the beginning of one's career. This course provides a strong base in Excel and its data analysis capabilities. Actuaries who are looking to improve their data skills may find this course helpful. Please note that becoming an actuary usually requires passing a series of challenging exams and may require an advanced degree.
Statistician
Statisticians collect, analyze, and interpret data to solve problems, and this course may provide some assistance for this role. Though statisticians focus on statistical methodology, they would still need to use spreadsheets for data management. This course provides some skills in data manipulation, analysis, and visualization in Excel. Statisticians looking to expand their practical data analysis skills may find this course beneficial in some cases and for certain types of work within the role. Typically, one who wishes to become a statistician will need an advanced degree (master or phd).
Project Manager
Project managers utilize data to plan, execute, and oversee projects, and this course may be useful for someone seeking to become one. While not always the primary responsibility, project managers often need to analyze project data, create reports, and monitor progress metrics with spreadsheets. This course may help project managers develop a better understanding of data management and reporting within Excel. Those who are project managers with a desire to leverage data more effectively for project success may find this course useful.

Reading list

We've selected one books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Microsoft Excel for Data & Business Analytics.
Provides a comprehensive guide to Excel 2019, covering a wide range of topics from basic to advanced. It's a useful reference for understanding Excel's features and functionalities. While not required, it can serve as a valuable resource for students looking to deepen their understanding of Excel. It is commonly used as a reference by industry professionals.

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