IT Courses

Advanced Excel & Data Analysis Course in Doha, Qatar

Analyze business data rigorously in Microsoft Excel: clean data with Power Query, apply statistics and regression, run what-if scenarios, optimize with Solver and build forecasts.

  • Level: Advanced

Course overview

The Advanced Excel and Data Analysis course in Doha, Qatar is for experienced Microsoft Excel users who need to answer business questions with evidence, not just summarize numbers. It focuses on the analytical side of Excel: preparing reliable datasets with Power Query, describing data with statistics, testing relationships with correlation and regression, modeling scenarios with what-if tools, finding optimal solutions with Solver and projecting trends with forecasting functions. Participants learn to choose the right technique for each question and to explain their findings clearly.

Every topic is practiced on realistic datasets, such as sales histories, cost data, staffing levels and inventory records, using the Analysis ToolPak, dynamic arrays and built-in forecasting features. Learners also discuss common analytical mistakes, including misleading averages and confusing correlation with causation. The course is delivered in the classroom or live online, and it can be arranged as an in-house program for organizations that want exercises built around their own data and decisions.

Learning Objectives

By the end of this course, participants will be able to:

  • Clean, reshape and combine raw data reliably using Power Query

  • Summarize data with descriptive statistics, frequency distributions and histograms

  • Measure relationships using correlation and linear regression with the Analysis ToolPak

  • Model scenarios with Goal Seek, Data Tables and Scenario Manager

  • Solve allocation and planning problems using Solver with constraints

  • Forecast future values with FORECAST.ETS, trendlines and Forecast Sheet

  • Present analytical findings with clear charts and plain-language conclusions

Who Should Attend

This course suits confident Excel users whose work involves analyzing data to support decisions.

  • Business, financial and operations analysts

  • Planners in supply chain, procurement and production

  • Researchers and quality professionals working with measurements

  • Accountants preparing budgets and variance analysis

  • Managers who evaluate options and forecasts

  • Excel users preparing to move into data analytics roles

Course Outline

Module 1: Preparing Data for Analysis with Power Query

  • Importing from files, folders and databases

  • Removing duplicates, fixing types and handling blanks

  • Unpivoting, merging and appending tables

  • Creating repeatable, refreshable cleaning steps

Module 2: Descriptive Statistics

  • Mean, median, mode, standard deviation and percentiles

  • Frequency distributions, histograms and box-and-whisker charts

  • Identifying outliers and skewed data

  • Analysis ToolPak descriptive statistics report

Module 3: Relationships and Regression

  • Correlation coefficients and scatter charts

  • Simple and multiple linear regression in Excel

  • Interpreting R-squared, coefficients and p-values

  • Correlation versus causation and common pitfalls

Module 4: What-If Analysis

  • Goal Seek for break-even and target calculations

  • One-variable and two-variable Data Tables

  • Scenario Manager and scenario summary reports

  • Sensitivity analysis for key assumptions

Module 5: Optimization with Solver

  • Setting objectives, decision variables and constraints

  • Simplex LP, GRG Nonlinear and Evolutionary methods

  • Product mix, staffing and transport examples

  • Reading Solver answer and sensitivity reports

Module 6: Forecasting and Presenting Results

  • Moving averages and trendlines

  • FORECAST.LINEAR, FORECAST.ETS and seasonality

  • Forecast Sheet with confidence intervals

  • Communicating findings with clear charts and summaries

Why Advanced Excel & Data Analysis Matters in Qatar

Organizations in Qatar's energy, construction, logistics, banking and public sectors make significant decisions about budgets, capacity, procurement and staffing every year. Sound analysis helps them compare options, anticipate demand and use resources efficiently. Building strong analytical skills in the local workforce supports the evidence-based decision making and knowledge-based economy described in Qatar National Vision 2030, and Excel remains the tool most professionals can apply immediately without additional software.

Delivery Options

Join a scheduled class at our training center in Doha or attend live online. For organizations, the course can run as an in-house program at your premises or online, tailored to your sector, examples and schedule.

Frequently asked questions

What is the Advanced Excel and Data Analysis course?

It is an advanced Microsoft Excel course in Doha focused on analysis: cleaning data with Power Query, descriptive statistics, correlation and regression, what-if analysis, Solver optimization and forecasting, so participants can support decisions with sound evidence.

Who should attend Advanced Excel and Data Analysis?

It is intended for analysts, planners, accountants, researchers and managers who already use Excel confidently and need to analyze data, test assumptions, compare scenarios or produce forecasts as part of their role.

How is this different from Advanced Excel and Business Reporting or Microsoft Excel?

Microsoft Excel builds core skills. Advanced Excel and Business Reporting focuses on producing refreshable reports and dashboards with the data model and PivotTables. This course concentrates on analysis itself: statistics, regression, what-if tools, Solver and forecasting. Choose it when your job is answering questions with data rather than presenting it.

Can this course be delivered as in-house training for our organization?

Yes. It can be delivered at your premises or online and tailored to your sector, your own datasets and analytical questions, and your schedule. Contact Leaders Training Center to plan an in-house program for your analysts.

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