Research, Data Analytics, and Business Intelligence Indonesia

Data Analytics using Excel and Power BI Training Course

Organizations are flooded with spreadsheet extracts, manual reconciliations, and dashboard requests, yet many teams still struggle to turn raw files into decisions they can defend. Data analytics using Excel and Power BI is the practical discipline of preparing data, modeling it, and presenting it through reusable reports and dashboards. It enables professionals to clean inconsistent datasets, calculate reliable metrics, and communicate trends with evidence.

This course bridges that gap with hands-on work in Microsoft Excel, Power Query, Power BI Desktop, and DAX, while reflecting the growing pressure to automate routine reporting and reduce manual errors in data workflows. It is designed for analysts, finance officers, reporting specialists, operations supervisors, and business managers who need accurate dashboards, monthly performance packs, and decision-ready insights. You will work toward outputs such as cleaned datasets, pivot-based summaries, KPI dashboards, and an insight report that supports leadership action.

Duration
5 Days
Duration
Certificate
Certificate
Included
Delivery
Instructor-Led
Delivery
Level
Foundation To Intermediate
Level
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Training Options

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Live Online Training

Join from anywhere with interactive virtual sessions

Starts
Ends
Mon - Fri (10 Days)
USD 1,700
Starts
Ends
Mon - Fri (10 Days)
USD 1,700
Starts
Ends
Weekend (8 Wks)
USD 1,700
Starts
Ends
Mon - Fri (10 Days)
USD 1,700
Starts
Ends
Weekend (8 Wks)
USD 1,700
Starts
Ends
Mon - Fri (10 Days)
USD 1,700
Starts
Ends
Mon - Fri (10 Days)
USD 1,700

Classroom Training

In-person sessions at premier locations

Nairobi Kenya
Mon - Fri
5 Days
USD 1,800
Kigali Rwanda
Mon - Fri
5 Days
USD 2,100
Dubai United Arab Emirates (UAE)
Mon - Fri
5 Days
USD 4,600
Zanzibar Tanzania
Mon - Fri
5 Days
USD 2,900
Customized Content
Team Training
Flexible Dates

In-person training at our premier venues — pick a city and date that works for you.

Location Duration Fee Language
Nairobi, Kenya Mon - Fri (5 Days) USD 1,800 English See dates & reserve →
Kigali, Rwanda Mon - Fri (5 Days) USD 2,100 English See dates & reserve →
Dubai, United Arab Emirates (UAE) Mon - Fri (5 Days) USD 4,600 English See dates & reserve →
Zanzibar, Tanzania Mon - Fri (5 Days) USD 2,900 English See dates & reserve →
Addis Ababa, Ethiopia Mon - Fri (5 Days) USD 2,400 English See dates & reserve →
Abuja, Nigeria Mon - Fri (5 Days) USD 3,100 English See dates & reserve →
Mombasa, Kenya Mon - Fri (5 Days) USD 1,900 English See dates & reserve →
Cape Town, South Africa Mon - Fri (5 Days) USD 4,200 English See dates & reserve →
Johannesburg, South Africa Mon - Fri (5 Days) USD 3,800 English See dates & reserve →
Kampala, Uganda Mon - Fri (5 Days) USD 2,100 English See dates & reserve →
Pretoria, South Africa Mon - Fri (5 Days) USD 3,600 English See dates & reserve →
Lagos, Nigeria Mon - Fri (5 Days) USD 2,500 English See dates & reserve →
Arusha, Tanzania Mon - Fri (5 Days) USD 2,000 English See dates & reserve →
Dar es Salaam, Tanzania Mon - Fri (5 Days) USD 2,094 English See dates & reserve →
Naivasha, Kenya Mon - Fri (5 Days) USD 1,900 English See dates & reserve →
Kisumu, Kenya Mon - Fri (5 Days) USD 3,300 English See dates & reserve →
Accra, Ghana Mon - Fri (5 Days) USD 3,800 English See dates & reserve →
Nakuru, Kenya Mon - Fri (5 Days) USD 3,200 English See dates & reserve →

Live, instructor-led sessions you can join from anywhere — pick the next start date below.

Code Start Date End Date Duration Fee
EBI-01 Mon - Fri (10 Days) USD 1,700 Reserve my seat → Reserve team seats →
EBI-01 Mon - Fri (10 Days) USD 1,700 Reserve my seat → Reserve team seats →
EBI-01 Weekend (8 Weeks) USD 1,700 Reserve my seat → Reserve team seats →
EBI-01 Mon - Fri (10 Days) USD 1,700 Reserve my seat → Reserve team seats →
EBI-01 Weekend (8 Weeks) USD 1,700 Reserve my seat → Reserve team seats →
EBI-01 Mon - Fri (10 Days) USD 1,700 Reserve my seat → Reserve team seats →
EBI-01 Mon - Fri (10 Days) USD 1,700 Reserve my seat → Reserve team seats →

Our instructor comes to your office — same curriculum and accredited certificate, with case studies built around the work your team actually does.

Team Training

Train your entire team together in a familiar environment for better collaboration

Fully Customized

Content tailored to your industry, tools, and specific business challenges

Cost Effective

Save on travel & accommodation costs when training multiple employees

Flexible Scheduling

Choose dates that work best for your team's availability and projects

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About the Course

In data analytics using Excel and Power BI, organizations want results they can prove, not just charts that look polished. That means you must show data cleansing discipline, data modeling accuracy, DAX measure design, dashboard readability, and report consistency using tools such as Power Query, Power Pivot, and Power BI Service. This course focuses on the practical capability to build trustworthy reporting from messy source files and to explain what the numbers mean in operational terms.

The course turns scattered spreadsheet habits into a structured analytics workflow. You will practice data profiling in Excel, transformation in Power Query, relationship building in Power BI data models, and measure creation with DAX, while also being introduced to dashboard publishing in Power BI Service and row-level security at an overview level. What you will learn: you will clean and shape data, build calculated measures, design interactive dashboards, and prepare reporting packs that support performance review. You will practice the core workbook-to-dashboard workflow hands-on, while advanced governance and sharing topics are covered at a practical orientation level. This is a course for professionals who need reliable analysis under time pressure, limited data quality, and recurring reporting demands.

Many teams face constraints such as inconsistent source files, competing deadlines, and limited analyst capacity. This course is built for that reality, so you can create repeatable reporting routines with Excel and Power BI without needing a long implementation cycle or a specialized data engineering team.


Target Audience

This course is designed for professionals who need to turn spreadsheets and source files into trustworthy analytics outputs using Excel and Power BI.

  • Data Analysts who clean datasets and build Power BI dashboards
  • Management Reporting Officers who prepare monthly KPI packs
  • Finance Analysts who reconcile figures and automate variance reports
  • Operations Analysts who track performance trends and bottlenecks
  • Business Intelligence Analysts who model data and publish reports
  • Reporting Specialists who standardize Excel-based management information
  • Performance Monitoring Officers who maintain scorecards and trend views
  • Sales Analysts who build pipeline and revenue dashboards
  • HR Analysts who analyze headcount, turnover, and workforce metrics
  • Process Improvement Coordinators who use data to support operational reviews

Course Objectives

This course equips you to plan, execute, and measure data analytics using Excel and Power BI initiatives that improve reporting accuracy, data visibility, and decision support.

  • Assess source data quality using Excel profiling, filters, and data validation checks.
  • Apply Power Query transformation steps to clean, merge, and reshape business datasets.
  • Build PivotTables and PivotCharts that summarize performance by period, team, or category.
  • Create Power BI data models with relationships, measures, and basic star schema structure.
  • Evaluate dashboard outputs against KPI definitions, slicers, and report logic in Power BI Desktop.
  • Navigate data refresh, sharing, and workspace basics in Power BI Service.
  • Implement DAX measures and time intelligence calculations for recurring performance reporting.
  • Synthesize analysis into an insight pack with visuals, commentary, and action points.

Requirements & Prerequisites

Participants should have basic computer literacy, comfort with spreadsheets, and a working knowledge of business data such as sales, finance, operations, or HR reports. No programming background is required, and prior experience with Power BI Desktop is helpful but not mandatory. A laptop with Microsoft Excel and Power BI Desktop installed is required for the hands-on exercises.


Professional and Organizational Impact

When you lead data analytics using Excel and Power BI with credible data and practical strategies, you become a trusted driver of reporting accuracy and decision confidence.

  • Build stronger Excel and Power BI reporting discipline.
  • Gain confidence in DAX measures and KPI logic.
  • Strengthen your ability to clean messy operational datasets.
  • Enhance dashboard design for decision-makers and reviewers.
  • Develop reliable variance analysis and trend interpretation skills.
  • Position yourself as a practical reporting specialist.
  • Expand your value across finance, operations, and BI teams.

Organizations that embed data analytics using Excel and Power BI into reporting routines reduce costs, mitigate risks, and build lasting competitive advantage.

  • Reduce manual spreadsheet errors in recurring reports.
  • Improve monthly reporting turnaround times across teams.
  • Strengthen visibility into sales, finance, and operations KPIs.
  • Lower reconciliation effort through reusable Power Query steps.
  • Increase leadership confidence in dashboard-based decisions.
  • Support faster issue detection with consistent visual reporting.
  • Improve data governance through standardized measures and definitions.

Training Methodology

This is a practical, outcome-driven course designed to turn data analytics using Excel and Power BI aspiration into measurable action and credible reporting.

Methodology includes:

  • Hands-on calculation of KPI variance using Excel formulas, PivotTables, and sample datasets.
  • Scenario simulation on a month-end reporting delay with conflicting source files and update deadlines.
  • Diagnostic review using a Power Query checklist and Power BI model quality checks.
  • Stakeholder mapping for finance, operations, and leadership reporting chains in Power BI Service.
  • Case study analysis from retail, banking, manufacturing, and public sector reporting environments.
  • Workshop to build a dashboard and insight brief under time and data constraints.
  • Reflection exercise comparing current spreadsheet practice with Power BI refresh and measure benchmarks.

Upcoming Sessions

Next available dates worldwide

Virtual

(Zoom) Training
USD 1,700
22nd Jun-3rd Jul 2026

Nairobi

Kenya
USD 2,900
6th Jul-17th Jul 2026

Kigali

Rwanda
USD 3,800
29th Jun-10th Jul 2026

Dubai

United Arab Emirates (UAE)
USD 7,800
22nd Jun-3rd Jul 2026

Zanzibar

Tanzania
USD 4,300
15th Jun-26th Jun 2026

Abuja

Nigeria
USD 3,100
6th Jul-10th Jul 2026

Addis Ababa

Ethiopia
USD 2,500
27th Jul-7th Aug 2026

Mombasa

Kenya
USD 3,200
22nd Jun-3rd Jul 2026

Cape Town

South Africa
USD 7,500
22nd Jun-3rd Jul 2026

Johannesburg

South Africa
USD 6,000
15th Jun-26th Jun 2026

Kampala

Uganda
USD 3,700
15th Jun-26th Jun 2026

Pretoria

South Africa
USD 5,900
29th Jun-10th Jul 2026

Lagos

Nigeria
USD 2,500
27th Jul-31st Jul 2026

Certification

Recognized credentials that advance your career

Participants who complete the Data Analytics using Excel and Power BI Training Program earn a Trainingcred Certificate of Achievement, demonstrating professional competence and alignment with global standards in learning and development.

NITA Accredited

Accredited by the National Industrial Training Authority, ensuring programs meet nationally recognized standards of quality and relevance.

CPD Certified

Recognized by the CPD Certification Service, ensuring every program meets internationally benchmarked standards of professional excellence.

Why this course earns its place on your CV

Accredited training, practitioner trainers, and peers on the same career track — the three things real expertise is built on.

Skills Relevance

  • Master industry-demanded tools: Excel and Power BI in a single course.
  • Transform data into actionable insights, boosting your marketability.
  • Learn cutting-edge data visualization techniques to lead decisions.

Career Advancement

  • Empower your resume with dual expertise in Excel and Power BI.
  • Position yourself for roles in data analytics, increasing earning potential.
  • Gain practical skills that are immediately applicable in any data-driven role.

Expert Delivery

  • Learn from certified instructors with real-world data analytics experience.
  • Interactive sessions with personalized feedback to maximize learning efficiency.
  • Access to a wealth of resources and continuous learning support post-course.

Industry Tools and Platforms Featured in this Training

The platforms and vendors Indonesia teams are running today — taught against real configurations, not generic vendor demos.

3
  • Microsoft Excel Microsoft
    Used for cleaning extracts, building pivot tables, reconciling figures, and preparing monthly reporting packs.
  • Power BI Desktop Microsoft
    Used to model data, build interactive dashboards, and publish reusable business reports.
  • Power Query Microsoft
    Used to import, reshape, append, and clean data from multiple files before analysis.

Real Results from Real Professionals

Thousands of professionals have transformed their careers through our training programs. Now, it's your turn.

ID Built for Indonesia

How this course applies where you work

Local laws, real case studies, and data-points that make the curriculum land — not generic global theory.

Business Results You Can Expect

How participants put this to work the week after training — and the measurable return their organisation can plan for.

How participants apply this

Participants in Indonesia typically use Excel to clean spreadsheet exports from finance, sales, operations, or ERP systems, then use Power Query to standardize formats and combine files. They build pivot-based summaries and KPI dashboards in Power BI for recurring reporting such as monthly performance packs, budget tracking, and exception monitoring. In day-to-day work, the course helps them replace manual reconciliation steps with repeatable refreshable reports. It also supports clearer communication with managers by turning raw files into visuals that can be checked, explained, and reused.

Expected ROI

Within 6–12 months, the main return is usually less time spent on manual consolidation and fewer formula or copy-paste errors in recurring reports. Teams also tend to get faster turnaround on management dashboards because the data preparation and metric logic are reusable. For organizations, the practical gain is more consistent reporting, better auditability of numbers, and quicker responses to ad hoc leadership questions. For individuals, the most visible outcome is stronger job performance in reporting, analysis, and business support roles.

Frequently Asked Questions

Got questions? We've gathered the answers to common queries to help you feel confident and informed.

Who else has attended this training course?

Join global leaders and experts from top-tier organizations who have already benefited from this training. Here are just a few of our past participants:

Designation Organization
PRINCIPAL MONITORING AND EVALUATION OFFICER SPORTS, ARTS AND SOCIAL DEVELOPMENT FUND, Kenya
Designation Organisation, Ethiopia
Management Accountant Air Niugini Limited, Papua New Guinea
Assistant Director Risk and Bank Examination Kenya Deposit Insurance Corporation, Kenya
Field Security Associate UNDSS, Sudan
Data Analyst Lucara Botswana, BOTSWANA

Your seat is waiting.

Join these industry leaders and take the next step in your career.

No. The course is designed around Excel, Power Query, Power BI, and DAX, so participants can start with spreadsheet skills and build up to data modeling and dashboarding. Basic comfort with formulas and tables is helpful, but programming is not usually required for day-to-day use.

Yes. The course focuses on cleaning data, creating reusable metrics, and presenting results in dashboards and summary reports. That directly supports monthly performance reporting, variance analysis, and KPI tracking.

Excel is best for ad hoc analysis, quick reconciliation, and smaller working datasets. Power BI is better when you need interactive dashboards, refreshable data models, and reports that many users can explore consistently.

Typical practice data includes sales extracts, finance reports, operational logs, and other tabular files that need cleaning and consolidation. The exact source depends on the training provider, but the workflow usually mirrors common business reporting tasks.

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