Choose your direction
Where do you want your data skills to take you?
Pick a goal to see a tailored roadmap: the stages, courses, projects and practice questions that build the skills for that role.
Data • Insights • Impact.
Turn Data Skills Into Real-World Impact.
Learn data analytics, statistics, programming, artificial intelligence, and business intelligence through practical training designed to turn knowledge into results.
- 23 practical courses
- Free practice questions
- Python, SQL & R in your browser
- Training for organizations
analysis.sql · cooperative_sales (12 rows)
Calculated live in your browser · synthetic data
Pick a question, then run the analysis to turn rows into a decision.
Explore our learning ecosystem
Eight connected areas of practice
Skills that work together on real problems — from collecting data in the field to presenting decisions to leadership.
Featured learning paths
Structured tracks from first steps to advanced practice
Beginner, intermediate and advanced tracks with prerequisites, modules, objectives and practical assignments.
Practice preview
Learn by doing, with feedback straight away
Answer a sample question, then try a real coding exercise. Explanations show the reasoning, not just the answer.
Your roadmap · Data Analyst
Analysts turn raw data into answers: they clean, query, summarise and explain what the numbers mean.
Clean and combine dataQuery databases with SQLBuild reports and dashboardsExplain trends to managers
- 1
Foundations
Indicative: 4–6 weeks
Spreadsheets, data cleaning and descriptive statistics
- 2
Core tools
Indicative: 6–8 weeks
SQL and a programming language for analysis
- 3
Practical projects
- • Business sales and performance dashboard
- • Survey data cleaning and reporting
Practice questions
- Regions above a revenue threshold · SQL
- Total revenue for one region · Excel
- Percent vs percentage points · Data Interpretation
- Typical household income · Statistics
Durations are indicative and depend on your starting point and weekly study time. Training builds skills; it cannot guarantee employment.
View the full learning path- Data AnalyticsClean, summarise and explain data with Excel, SQL and clear reporting.
- Data Science & StatisticsProbability, inference and regression applied to real decisions.
- Programming & AutomationPython, R and SQL scripts that replace repetitive manual work.
- Business IntelligencePower BI dashboards and KPIs that leadership teams can act on.
- AI & Machine LearningPredictive models, evaluation and responsible, practical AI.
- GIS & Spatial AnalyticsMaps and spatial analysis for planning, agriculture and service delivery.
- Survey Design & Data CollectionQuestionnaires and digital tools that produce clean data from the field.
- Research and Monitoring & EvaluationResearch design, indicators and evidence for programmes and policy.
Data Analysis Foundations
Go from spreadsheet user to confident analyst: clean data, query it, summarise it and report it.
- Prerequisites
- Basic computer skills; Secondary-school mathematics
- Modules
- 1. Advanced Microsoft Excel for Data Analysis
- 2. SQL & Database Querying
- 3. Descriptive & Inferential Statistics
- You will be able to
- Clean and organise raw data reliably
- Practical assignment
- Clean and document a messy survey extract
Your progress—
Applied Statistics & Research
Design studies and analyse research and survey data with rigour, in STATA, SPSS or R.
- Prerequisites
- Data Analysis Foundations or equivalent experience
- Modules
- 1. Research Methodology & Quantitative Analysis
- 2. STATA for Data Management & Analysis
- 3. Regression Analysis
- 4. SPSS for Research & Survey Analysis
- You will be able to
- Design studies with appropriate sampling and analysis plans
- Practical assignment
- Write a study protocol outline
Your progress—
Data Science & Machine Learning
Build, validate and apply predictive models — and communicate them responsibly.
- Prerequisites
- Python basics; Introductory statistics
- Modules
- 1. Python Programming for Data Analytics
- 2. Data Science Foundations
- 3. Exploratory Data Analysis
- 4. Machine Learning
- 5. Predictive Modelling for Decisions
- You will be able to
- Run the full data science workflow in Python
- Practical assignment
- End-to-end mini project with a baseline model
Your progress—
Data InterpretationBeginnermultiple choiceSample content
Percent vs percentage points
Youth unemployment fell from 20% to 15%. Which statement is correct?
Short coding exercise · SQL
Write SQL queries to aggregate sales
Using the sales table, return each region with its total revenue, highest first.
-- Total revenue by region, highest first
SELECT *
FROM sales
LIMIT 5;Runs on a real SQLite database inside your browser — nothing is executed on our servers.
Featured courses
Practical courses, taught with real-world examples
Every course includes modules, exercises and assessments. Pricing is flexible — request a quote for individual, group or corporate training.
- Analytics & BIBeginner
Advanced Microsoft Excel for Data Analysis
Turn raw spreadsheets into reliable analysis with lookups, PivotTables, Power Query and clear charts.
Course book available
Prerequisites: Basic Excel navigation (entering data, simple formulas)
4 modules · 11 lessons30 USDFree sample lesson - Analytics & BIIntermediate
Power BI & Dashboard Development
Model data, write DAX measures and publish dashboards that leadership teams use every week.
Course book available
Prerequisites: Comfortable with Excel tables and PivotTables
4 modules · 9 lessonsRequest a quoteFree sample lesson - ProgrammingBeginner
R Programming for Data Analytics
Import, clean, analyse and visualise data in R with the tidyverse, and produce reproducible reports.
Course book available
Prerequisites: No programming experience required
4 modules · 8 lessons20,000 RWFFree sample lesson - ProgrammingBeginner
Python Programming for Data Analytics
Learn Python from zero and use pandas to analyse real datasets.
Course book available
Prerequisites: No programming experience required
3 modules · 8 lessonsRequest a quoteFree sample lesson - ProgrammingBeginner
SQL & Database Querying
Query relational databases confidently: filter, join, aggregate and build analysis-ready tables.
Prerequisites: None
3 modules · 7 lessonsRequest a quoteFree sample lesson - GISBeginner
ArcGIS Pro Essentials
Create, edit, analyse and map spatial data in ArcGIS Pro.
Prerequisites: Basic computer skills
3 modules · 6 lessons20,000 RWFFree sample lesson
Practical projects
Practice projects built on realistic, invented data show the methods learners use — the same steps as real client work.
- Employment & policyPractice projectLabour market analysisEstimating employment and unemployment indicators by age, sex and area from a labour-force style survey.R (survey) · Python (pandas) · Power BI
- Business intelligencePractice projectBusiness sales & performance dashboardA monthly KPI dashboard for a distribution business: revenue, targets, product mix and regions.Power BI · Power Query · Excel
- Survey & M&EPractice projectSurvey data cleaning & reportingA reproducible cleaning pipeline and indicator report for a household survey.KoBoToolbox · STATA · R
- ResearchPractice projectStatistical analysis for researchComparing outcomes between groups with appropriate tests and regression adjustment.R · STATA
Learn with
Meet Niyobyose Brancal.
Instructor
Niyobyose Brancal
Instructor, Big Data IQ Minds
Niyobyose Brancal is a data analytics enthusiast and aspiring professional specializing in statistical analysis, data visualization, and research. He works with tools such as R, Python, Excel, Power BI, and Streamlit to transform data into actionable insights. Passionate about problem-solving, innovation, and sustainable development, he applies data-driven approaches to address real-world challenges in Rwanda while building impactful projects and continuously expanding his technical skills.
Expertise
Statistical analysisData visualizationResearchRPythonExcelPower BIStreamlit
Teaching interests
Turning data into actionable insights · Problem-solving and innovation with data · Data for sustainable development in Rwanda
For organizations
Universities, NGOs, government institutions, research teams and companies can request customised training or practical analytics support — from survey design to dashboards and predictive models.
- 1Tell us what you needShare your goals, team size, timeline and tools.
- 2Scoping conversationWe agree objectives, format and deliverables.
- 3Proposal and quoteA tailored plan with negotiable pricing.
- 4Delivery and follow-upTraining or analysis, with handover support.
- Data Analysis & InterpretationTurn existing data into clear findings, tables and recommendations.
- Statistical ConsultingExpert support on study design, sampling, models and interpretation.
- Survey Design & Digital Data CollectionQuestionnaires, XLSForms and field systems that produce clean data.
- Data Cleaning & Quality AssuranceReliable, documented datasets ready for analysis.
- Business Intelligence DashboardsKPI frameworks and Power BI dashboards that management uses.
- GIS & Geospatial AnalysisMaps and spatial analysis for planning and targeting.
- Machine Learning & Predictive AnalyticsForecasts, risk scores and segmentation built and validated properly.
- Research Support & ReportingSupport from proposal to final report.
- Customised Professional TrainingTraining designed around your team, your data and your tools.
Do I need prior experience?
Not for beginner courses. Each course lists its prerequisites; most beginner courses only assume basic computer skills. If you are unsure, use the free practice zone or contact us for advice on where to start.
How are courses delivered?
Courses can be delivered live online, in person in Kigali, or as customised group and corporate training. Some lessons and exercises are available self-paced on this platform. Each course page shows its available formats.
How much do courses cost?
Pricing is negotiable and depends on the format, group size and level of customisation. Request a quote from any course page and we will respond with options for individuals, groups or organizations.
Do I receive a certificate?
Certificates of completion are issued only when the course's completion requirements have been met, such as finishing all lessons and passing module quizzes. Certificates confirm completion of BDIM training; they are not an academic or professional accreditation.
How do I access course materials?
Create an account to enrol, track progress, save notes and download available materials. Free sample lessons, practice questions and Coding Lab exercises are open to everyone.
Can you train our organization's staff?
Yes. We design training for universities, NGOs, government institutions, research teams and private companies, using your tools and, where appropriate, anonymised versions of your own data. Start with a training inquiry and we will schedule a scoping conversation.
Does the Coding Lab really run my code?
Yes. Python, SQL and R run inside your own browser using WebAssembly runtimes, isolated from our servers. Nothing you type is executed on BDIM's servers. The first run downloads the runtime, so it can take a little longer.
We Turn Data Into Decisions.
Start with free practice today, or talk to us about training for yourself or your organization.