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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.
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.
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
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
Importing from files, folders and databases
Removing duplicates, fixing types and handling blanks
Unpivoting, merging and appending tables
Creating repeatable, refreshable cleaning steps
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
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
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
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
Moving averages and trendlines
FORECAST.LINEAR, FORECAST.ETS and seasonality
Forecast Sheet with confidence intervals
Communicating findings with clear charts and summaries
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.
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.
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.
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.
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.
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.
Tell us a little about yourself and an advisor will contact you about batch timings, fees and eligibility. No obligation.
Sat–Thu: 09:00–22:00Fri: 08:00–22:00
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