
Practice with the unsolved Excel sheets alongside videos to reinforce concepts through assignments, projects, and quizzes, then revisit the course to fully grasp and apply the techniques.
Learn to navigate and select cells in Excel using keyboard shortcuts, including Ctrl+Arrow, Shift+Arrow, and Ctrl+Shift, to move through data and quickly select entire tables even with null values.
Enter data in Excel by selecting a cell, typing, and using Enter to move down or Tab to move right; fill cells with Ctrl+Enter or Ctrl+D from the Home tab.
Learn to sort data in Excel by a column or multiple levels, using the sort tool to arrange by make then model, and to sort columns left to right.
Learn to use Excel’s filtering tool to display data by category, apply number filters such as year ≥ 2020, clear filters, and explore unique values by column for data analysis.
Learn to select objects in Microsoft Excel using mouse clicks, Ctrl+click for multiple objects, and Ctrl+A to select all; explore select objects mode, find and select, and exiting with escape.
Master the concat function to join text from cells or ranges, producing concatenated emails by company and highlighting the upcoming textjoin solution for inserting separators.
Apply text before and text after functions to slice names into first and last names, using function descriptions and arguments to practice data extraction in Excel.
Learn to use the if function classify BMI data with if statements, assigning overweight, underweight, or normal categories using operators >, <, =, >=, <=, and Ctrl+D to fill down.
Learn data normalization to create consistent data types, unique primary keys, and no redundant or repeating groups, then split tables to reduce data redundancy and storage needs.
Explore how vlookup, hlookup, and xlookup join data across tables in Excel by matching product IDs to fetch names, prices, and categories with exact and flexible search options.
Explore creating and customizing category charts in Excel, including clustered columns, stacked columns, 100% stacked, and a heat map with conditional formatting to compare production departments across months.
Learn how automation enhances efficiency by using Excel tools like Power Query, pivot tables, and macros to connect sources, preprocess data, and refresh automated reports and dashboards.
Merge two queries in Excel with the merge queries tool, choose left outer join on the invoice field, then expand to show visual name, estimated arrival date, and transit time.
Learn how to automate Excel tasks with macros, recording steps to apply formatting across cells, using absolute vs relative references, and saving in the personal macro workbook for reuse.
See how recorded macros generate VBA code in modules and introduce variables, message boxes, and input boxes. Use basic VBA concepts like strings, integers, and concatenation to customize Excel automation.
Learn how to add single-line and block comments in VBA, describe code for later readability, and use view and customize tools to comment or uncomment blocks.
Explore optimization in Excel using solver to find the best mix of decision variables that maximize revenue or minimize cost under constraints like time and labor.
Use the excel solver to maximize y = -x^2 + 4x by setting the objective to y and adjusting x, then run nonlinear solver to get x = 2.
Learn manual ETL in Excel by integrating item, product, and size tables into a single report, using concatenation, vlookup match, and pivot tables to align sizes.
Use Excel solver to optimize resource allocation between two production departments with binary decision variables. Minimize weekly load differences and balance cumulative workload, and visualize results.
Become an Excel power user — and unlock Data Analyst-level skills in one course.
If your work involves spreadsheets, the difference between someone who uses Excel and someone who has mastered it is measured in hours saved every single week. This course closes that gap.
By the end of this course, you will be able to:
Build interactive dashboards and automated reports from raw data
Automate repetitive tasks with Power Query, Macros, and VBA
Analyze data using Pivot Tables, VLOOKUP/XLOOKUP, and statistical functions
Use Data Models and DAX (the same foundation as Power BI)
Optimize numeric decisions — budgets, resource allocation — using Excel's Solver
Work 2–3x faster using shortcuts and productivity techniques I developed in a high-pressure manufacturing environment
What's inside: 9 chapters, 100+ video lessons, 9+ hours of training, plus quizzes and assignments after every chapter.
Datasets from diverse industries — Manufacturing, Sales, Medical, Finance — . You'll see exactly how these tools apply in actual work.
Course Breakdown
Chapter 1 — Working Efficiently: Personal productivity principles I developed managing factory data for a top global apparel brand. Apply these to any software, not just Excel.
Chapter 2 — Shortcuts & Essential Tools: Keyboard shortcuts, Quick Access Toolbar, freeze panes, sorting, filtering, and conditional formatting. Stop using the mouse.
Chapter 3 — Data Preprocessing & Formulas: Clean and prepare text, numeric, and date data. Master the mathematical functions that 80% of analysts rely on daily.
Chapter 4 — Data Analysis: Pivot Tables, joining multiple tables, EDA with Excel charts, and building your first interactive dashboard.
Chapters 5–7 — Automation: Power Query, Macros, VBA, and Python in Excel. Have the machine do your work for you with a single click.
Chapter 8 — Optimization with Solver: Use Excel's built-in optimization engine for capital budgeting, resource allocation, and other real business decisions.
Chapter 9 — Practical Projects: Apply everything to real-world cases taken from my actual work — automated report generation, data extraction and transformation, and Solver applications.
Who this course is for
Data Analysts, Operations Specialists, Financial Analysts, and Accountants who want to be faster and more valuable at work
Business owners who want to stop paying others for analysis they could do themselves
Anyone preparing to transition into Data Analytics, Business Intelligence, or Power BI
Students and graduates who want a serious Excel skillset on their CV
A note on transferability
Many of the concepts in this course translate naturally to other tools: Power Query and DAX give you a head start on Power BI, Pivot Tables map directly to Tableau and Pandas logic, and the data-cleaning mindset you build here applies anywhere you work with data — SQL, Python, R, or BI platforms.
About me
I'm Hamza, an Industrial Engineer with hands-on experience managing data and operations at a factory producing apparel for one of the world's top athletic brands. Every technique in this course was battle-tested in a real, fast-paced production environment — not invented for a tutorial.
Enroll now and start working smarter today.