Certification pathway

Data Analyst training in Madagascar: from raw data to analysis that decides.

One common foundation, one specialisation of your choice. Excel, SQL, SPSS, Stata, three cumulative levels aligned with international professional practice in the data sector. Training and consultancy in Fianarantsoa, Antananarivo, across Madagascar, the Indian Ocean and Africa, in person or remotely.

Explore the 3 levels ↓ Request a quote

Tools we master

Excel / Google SheetsSQLPower QuerySPSSStataRPower BI

The Helpazone badge certifies pathway completion based on our own criteria (attendance rate, validated deliverables, exam for certain topics). It is not a certification issued by an external accreditation body.

Priority training

Data Analyst Certification Pathway

A common foundation shared with the BI pathway, then a specialisation in data analysis, from basic manipulation to advanced inferential statistics.

Level 1 · Shared with the BI pathway

Data Foundation : The fundamentals before any specialisation

For anyone about to take BI Practitioner or Data Analyst Practitioner. One badge, two possible paths forward. No prerequisite.

Duration3 days (24h)

Price360 000 Ar (≈ $84)

LocationMadagascar · in-person / online

PrerequisiteNone

Module 1

The world of data

Shared vocabulary: data types, from raw file to dashboard
Who produces, analyses and consumes data in an organisation

Module 2

Basic data manipulation

Spreadsheets, structuring a table correctly
Simple formulas, sorting and filtering

Module 3

Cleaning and ensuring reliability

Spotting and fixing duplicates, missing values, inconsistencies
Basic data protection concepts (confidentiality, basic anonymisation)

Module 4

Data literacy: reading and interpreting

Basic descriptive statistics, reading an existing dashboard
Common reading biases, misleading charts

Module 5

Formulating a good request

Writing an actionable brief for an analyst or BI officer

🎯 Skills you’ll gain

Use a spreadsheet and structure a data table correctly
Clean a dataset and assess its quality
Read a dashboard and interpret a statistic without error
Spot a misleading chart
Write an actionable data or dashboard request

🧪 Hands-on exercises

Cleaning a deliberately messy dataset
Table-structuring workshop from scattered data
Critical audit of a provided dashboard (spot 5 gaps)
Misleading-chart spotting game
Writing a brief for an analyst or BI officer

📦 Deliverables

Cleaned dataset
Annotated descriptive statistics sheet
Written data request brief

AssessmentMCQ + graded case study

Final projectAnnotated analysis of a real dataset

CertificateData Foundation badge

➜ What’s next?

This badge unlocks two pathways: Data Analyst Practitioner (below) or BI Practitioner. One shared foundation, two possible specialisations.

Enrol in Data Foundation →

🔄 Already completed Excel Professional or Power BI Professional?

Both trainings already cover part of Data Foundation (data handling and cleaning). A 3-hour equivalence test validates the two remaining skills: critical reading of a dashboard (spotting a misleading chart) and writing an actionable data request. On success: Data Foundation badge awarded, same value as the full pathway, unlocking BI Practitioner or Data Analyst Practitioner at standard price.

Price: 120,000 Ar (≈ $28) · Prerequisite: Excel Professional or Power BI Professional completed

Level 2 · Certifying programme

Data Analyst Practitioner : Excel, SQL and automation

For junior analysts and future reporting officers: from advanced Excel formulas to querying SQL databases, all the way to automated dashboards.

Duration7 days

Price900 000 Ar (≈ $209)

LocationMadagascar · in-person / online

PrerequisiteData Foundation or equivalence test

Support6 months free

CertificateData Analyst Practitioner badge

Day 1

Advanced formulas

XLOOKUP, INDEX-MATCH, FILTER, UNIQUE, SORT
Dynamic array functions and error handling

Day 2

Pivot tables

Calculated fields, slicers, timelines
Auto-refresh and pivot tables connected to Power Query

Day 3

SQL, Querying a database

SELECT, WHERE, ORDER BY, basic queries
JOIN (INNER, LEFT) across multiple tables
GROUP BY and aggregate functions (SUM, COUNT, AVG)

Day 4

Power Query

Multi-source, cleaning, JOIN-style merging
Custom columns and parameterised queries

Day 5

Introduction to Python for data analysis

Python and pandas basics: reading, filtering and transforming a dataset
When to use Python rather than Excel: large volumes, repeatable processes

Day 6

Dashboards

Which chart for which message: comparison, trend, breakdown
Professional architecture, interactive dashboard
Advanced conditional formatting and dynamic charts

Day 7

Automation

VBA / Apps Script, automatic PDF
Workshop: a monthly report generated and sent automatically

🎯 Skills you’ll gain

Master advanced lookup and array functions
Build pivot tables connected to refreshable sources
Write SQL queries with joins and aggregations
Merge and transform multi-source data
Produce a professional interactive dashboard
Automate a reporting pipeline with no manual re-entry

🧪 Hands-on exercises

Advanced lookup case studies on real data
Building a multi-criteria dynamic pivot table
Guided queries and a multi-table SQL join workshop
Building a fully SQL-based aggregate report
Merging 3 heterogeneous data sources
Workshop: a fully automated monthly report, end to end

📦 Deliverables

Documented advanced-formula workbook
Connected pivot table
Documented SQL query set + extracted dataset
Multi-source Power Query
Complete interactive dashboard
Working automated report

Assessment6 graded deliverables + technical review

Final projectEnd-to-end automated reporting pipeline

Enrol in Data Analyst Practitioner →

Level 3 · Three tracks to choose from

Data Analyst Specialist : Advanced statistical analysis

For experienced analysts, researchers and survey officers. Choose your software: SPSS, Stata or R. The final badge specifies the track taken, no loss of clarity for a recruiter or a donor.

Duration5 days (SPSS) · 6 days (Stata)

Price750 000 Ar (≈ $174)

PrerequisiteData Analyst Practitioner

CertificateData Analyst Specialist badge, track specified

🅰️ SPSS track

Day 1

Data preparation

Variables, recoding, missing values
Multi-format import (Excel, CSV, external databases)

Day 2

Descriptives

Frequencies, cross-tabulations
Descriptive charts and formatted export

Day 3

Tests

t-test, ANOVA, chi-square, correlations
Choosing the right test for the variable type

Day 4

Regression

Linear, logistic
Model diagnostics and coefficient interpretation

Day 5

Reporting

Word / Excel exports
Results presented to APA statistical reporting standards

🅱️ Stata track

Day 1

Data management

describe, codebook, labels
Import, cleaning, variable type management

Day 2

Transformation

egen, merge, reshape
Panel data, collapse, processing loops

Day 3

Stats & graphics

graph twoway, exports
Descriptive statistics and significance tests

Day 4

Models

regress, robust, logit/probit
Post-estimation diagnostics, robust errors

Day 5

Reproducibility

Do-files, esttab, final report
Workshop: a fully reproducible script

🧮 R track

Day 1

Getting started and data handling

RStudio environment, basic syntax, data structures
Data manipulation with the tidyverse (dplyr, tidyr)

Day 2

Cleaning and transformation

Multi-format import, handling missing values
Joins, reshaping data (pivot_longer/wider)

Day 3

Descriptive statistics and visualisation

Descriptive statistics, significance tests
Visualisation with ggplot2

Day 4

Statistical models

Linear and logistic regression
Model diagnostics, confidence intervals

Day 5

Reproducible reports

R Markdown / Quarto: dynamic reports combining code, results and text
Workshop: a fully reproducible report

🔁 Shared across all three tracks

Day 6

Communicating results

Presenting statistical results to a non-technical audience: leadership, donors
Structuring a convincing oral and visual presentation

🎯 Skills you’ll gain

Prepare and clean a dataset for statistical analysis
Choose and run the appropriate statistical test
Build and interpret a regression model
Present results to a non-technical audience
Produce a statistical report to international standards

📦 Deliverables

Cleaned, documented database
Annotated statistical test outputs
Interpreted regression model
Complete statistical report

AssessmentGraded project + final review

Final projectComplete statistical analysis on real data

Enrol in Data Analyst Specialist →

Proof

They analyse their own data with confidence

★★★★★

"I only knew how to build a basic pivot table. After the Data Analyst pathway, I write my own SQL queries and clean our databases without relying on IT. Our monthly reporting went from 3 days to 3 hours."

Fenosoa L.

Reporting analyst, financial institution

Data Analyst training in Madagascar, the Indian Ocean and Africa

In Madagascar, the pathway runs in person in Fianarantsoa and Antananarivo, or in-house anywhere in the country. Evening sessions (6pm-8pm) suit professionals already in post particularly well.

Across the Indian Ocean and Francophone Africa, the pathway is delivered remotely, with the same practice datasets and the same final project. Individual follow-up is maintained: every participant receives personalised feedback on their deliverables, whatever the country.

Excel, SPSS and Stata work offline once installed. For the SQL component, a lightweight working environment is provided, suited to limited bandwidth.

Data Analyst training in Madagascar: from raw data to analysis that decides.

Data Analyst Certification Pathway

Data Foundation : The fundamentals before any specialisation

The world of data

Basic data manipulation

Cleaning and ensuring reliability

Data literacy: reading and interpreting

Formulating a good request

🎯 Skills you’ll gain

🧪 Hands-on exercises

📦 Deliverables

➜ What’s next?

🔄 Already completed Excel Professional or Power BI Professional?

Data Analyst Practitioner : Excel, SQL and automation

Advanced formulas

Pivot tables

SQL, Querying a database

Power Query

Introduction to Python for data analysis

Dashboards

Automation

🎯 Skills you’ll gain

🧪 Hands-on exercises

📦 Deliverables

Data Analyst Specialist : Advanced statistical analysis

🅰️ SPSS track

Data preparation

Descriptives

Tests

Regression

Reporting

🅱️ Stata track

Data management

Transformation

Stats & graphics

Models

Reproducibility

🧮 R track

Getting started and data handling

Cleaning and transformation

Descriptive statistics and visualisation

Statistical models

Reproducible reports

🔁 Shared across all three tracks

Communicating results

🎯 Skills you’ll gain

📦 Deliverables

They analyse their own data with confidence

Data Analyst training in Madagascar, the Indian Ocean and Africa

Ready to take action?