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Enrollment open · classes start January 4, 2027

Data AnalystBootcamp

From beginner to professional Data Analyst, in 10 weeks.

Excel, SQL, Power BI, Python, AI and storytelling, on real business situations. Live online classes with experts.

See the program

From €490 (launch price), then €990 from December 19 · one-time payment, lifetime access

Welcome session Saturday, December 19 · launch price until December 18

Who is it for?

Open to every profile

No technical prerequisites. If you can use a computer, you can become a Data Analyst.

In 10 seconds

Beginner or already in a role, the same method

You're changing careersYou start from scratch and build, project by project, a portfolio of dashboards to show in interviews.
You're already in a roleFinance, HR, marketing or financial control: your reports come together in a few clicks, and your analysis informs decisions.
Beginners
Students
Career changers
Financial controllers
Accountants
HR
Marketing
Supply chain
Managers
✔
Prerequisites: none. Basic Excel is a plus, but not required.
A unique approach

One company, one real mission

Throughout the bootcamp, you work for a fictional company, just like on the job. Here is a typical mission, followed from start to finish.

Claire M., Head of SalesKora Market · fictional company

“Our sales in the West region have been falling for three months. I want to understand why, and what to do about it.”

Understand and clean

You explore the sales export, spot duplicates, inconsistent date formats and missing values, then document every fix.

ExcelPower QueryPython (Pandas)

Query the database

You write the queries that join sales and regions to measure how revenue changes, region by region.

SQL (PostgreSQL)DuckDBBigQuery

Build the dashboard

You model the data, create DAX measures and an interactive dashboard leadership can filter on their own.

Power BIDAXLooker Studio

Present the recommendation

You isolate the cause, size the impact and present a clear recommendation to the leadership team.

PythonStorytellingGenerative AI

Kora Market is a fictional company: the data is simulated for the exercise. In the bootcamp, you carry out a mission like this from start to finish.

Program

38 modules to become a Data Analyst

12 progressive blocks. Every module combines theory, demonstrations and hands-on exercises.

1
Understanding data
01

Data culture

Data fundamentals, roles, the data lifecycle, KPIs and data-driven decisions.

02

Excel for analysts

Cleaning, advanced formulas, XLOOKUP, pivot tables, charts and Power Query.

2
SQL
03

SQL for beginners

SQL fundamentals for querying and filtering databases.

04

Advanced SQL

Joins, subqueries, window functions and performance tuning.

3
Power BI & Tableau
05

Power BI fundamentals

Data import, modeling, table relationships and cleaning in Power Query.

06

DAX

Measures, calculated columns and time intelligence functions for time-based analysis.

07

Power BI visualizations

KPIs, interactive charts, geographic maps, drill-down and advanced tooltips.

08

Tableau

Connecting to data sources, building visualizations, calculations, filters, interactive dashboards and publishing to Tableau Public.

4
Python for analysis
09

Python for data

Data manipulation and visualization with the essential Python libraries.

PandasNumPyMatplotlibPlotlySeaborn
🎯 Project: sales analysis in Python
10

Data cleaning

Handling missing values, duplicates, outliers and standardizing formats.

Missing valuesDuplicatesOutliersStandardization
11

Exploratory data analysis (EDA)

Correlations, distributions, segmentation and generating insights from data.

CorrelationsDistributionSegmentationInsights
🎯 Project: a full exploratory report
5
Storytelling & communication
12

Choosing the right charts

Which chart for which message? The golden rules of data visualization.

13

Building a dashboard

Architecture, visual hierarchy, filters and interactivity of an effective dashboard.

14

Presenting your results

Presentation technique, managing nerves and communicating with decision-makers.

15

Making recommendations

Turning data into concrete action and convincing a leadership team.

🎯 Project: present to the leadership team
6
AI for Data Analysts
16

Generative AI for analysis

Using ChatGPT, Claude, Gemini and NotebookLM to speed up your analysis work.

ChatGPTClaudeGeminiNotebookLM
17

GitHub Copilot

Code faster with the AI assistant: generating Python, SQL and DAX.

CopilotCode generationAuto-completion
18

Power BI Copilot

Generate visualizations, DAX measures and insights automatically inside Power BI.

Power BI CopilotAutomated DAXAI insights
19

Prompt engineering for analysts

Prompting techniques to generate SQL queries, analyses and reports.

🎯 Project: build a Data Analyst assistant
7
Business analytics
20

Marketing analytics

Acquisition cost, customer value, churn, funnel and campaign optimization.

CACLTVChurnFunnel
21

Finance

Profitability, cash flow, budget, variance and financial reporting.

ProfitabilityCash flowBudget
22

Human resources

Turnover, recruitment, absenteeism and HR metrics.

TurnoverRecruitmentAbsence
23

Supply chain

Inventory management, delivery, turnover and logistics optimization.

InventoryDeliveryTurnover
24

Retail

Sales analysis, products, customer behavior and average order value.

SalesProductsCustomers
25

Healthcare

Hospital activity, performance, quality and health metrics.

ActivityPerformanceQuality
8
Data visualization
26

Dashboard design

Design principles, grids, color, typography and visual hierarchy.

27

UX for data

User experience applied to dashboards and interactive reports.

28

Best practices

The golden rules of dataviz according to Tufte, Few and Cairo.

29

Common mistakes

The pitfalls of visualization: misleading charts, scales, 3D and clutter.

🎯 Project: redesign a dashboard
9
Reporting & automation
30

Alteryx

Data preparation, cleaning and transformation with visual no-code workflows. Blending, macros and pipeline automation.

WorkflowsBlendingMacrosData prepNo-code ETL
🎯 Project: an automated data pipeline
31

Automated reports

Automating recurring report generation with Python and Power BI.

32

PowerPoint export

Generate automated presentations from your analyses.

33

Excel export

Automated professional Excel reports with formatting and charts.

34

PDF export

Published, shareable PDF reports for stakeholders.

🎯 Project: automated monthly reporting
10
Portfolio & career
35

GitHub

Publishing your projects, documenting your code and building your technical presence.

36

LinkedIn

Optimizing your profile, publishing data content and growing your network.

37

Data Analyst résumé

Writing a data-focused résumé that showcases your skills and projects.

38

Professional portfolio

Building an online portfolio that impresses recruiters.

🎯 Project: build your Data Analyst portfolio
Block 11

Real cases by industry

Work on realistic datasets drawn from 7 industries.

♦

Banking

Loan analysis, default detection and branch performance.

LoansDefaultsBranches
♦

Insurance

Claims, fraud detection and customer portfolio analysis.

ClaimsFraudPortfolio
♦

E-commerce

Sales, churn, product analysis and recommendations.

SalesChurnRecommendations
♦

Telecom

Cancellations, customer satisfaction and usage analysis.

CancellationsSatisfactionUsage
♦

Healthcare

Hospital activity, waiting times and quality metrics.

♦

Manufacturing

Production, quality, maintenance and inventory management.

♦

Human resources

Recruitment, turnover, training and performance.

Ecosystem

The tools you will master

The tools most in demand for Data Analyst roles.

Data
  • ✓ Excel / Google Sheets
  • ✓ SQL (PostgreSQL)
  • ✓ Python (Pandas, NumPy)
  • ✓ Alteryx
  • ✓ DuckDB
  • ✓ Google BigQuery
BI & Dataviz
  • ✓ Power BI
  • ✓ Looker Studio
  • ✓ Tableau
  • ✓ Metabase
  • ✓ Streamlit
AI
  • ✓ ChatGPT
  • ✓ Claude
  • ✓ Gemini
  • ✓ GitHub Copilot
  • ✓ Power BI Copilot
Productivity
  • ✓ VS Code
  • ✓ Jupyter Notebook
  • ✓ Google Colab
  • ✓ GitHub
  • ✓ Notion

🎓 Final project: Block 12

Every participant completes a full Data Analyst assignment, just like at work:

✓ Understand the business need
✓ Explore the data
✓ Clean the data
✓ Write the SQL queries
✓ Exploratory analysis
✓ Build the visualizations
✓ Power BI dashboard
✓ Report with recommendations
✓ Defense before a panel of recognized experts

📄 DataSAI Data Analyst certification

To earn the certification, every learner must:

Bonus

Exclusive bonuses

3 bonus modules to take your preparation further.

🎯 Interview question bank

  • ✓ SQL questions
  • ✓ Case studies
  • ✓ Power BI exercises
  • ✓ Excel tests
  • ✓ Business cases

🤖 AI toolkit

  • ✓ SQL query generation
  • ✓ Creating DAX measures
  • ✓ Automated analysis
  • ✓ Report generation
  • ✓ Dashboard documentation

💬 Soft skills

  • ✓ Business communication
  • ✓ Report writing
  • ✓ Data storytelling
  • ✓ Running meetings
  • ✓ Data ethics
Format

Your typical week

Ten weeks. Plan for 10 to 14 hours a week: a demanding but manageable pace.

A typical week
Live classTheory and demos2.5 h
Hands-on workshopLive, on real datasets2.5 h
Q&ALive, optional1 h
Independent workExercises and mini-projects5–8 h
Teaching team

Who looks after your training

Classes are taught by the Academy's experts, and by Sylvie herself on some modules.

Sylvie Wendkuni NITIEMA, founder and head of learning at DataSAI Academy
Head of Learning

Sylvie Wendkuni NITIEMA

Founder of DataSAI Academy

An economist, statistician and data scientist, Sylvie has worked in data since 2013. Trained at ENSEA Abidjan and ENSAI Rennes, she led large-scale data projects at PwC, then designed and deployed data science models at scale at BNP Paribas and Renault.

She designs the DataSAI Academy programmes and teaches some of the modules herself. She selects the experts who teach alongside her and ensures the scientific and teaching quality of every course.

  • In data since 2013
  • Eiffel Excellence Scholarship
  • IBM Generative AI certified
Read her full story →
This bootcamp's experts3
Malak GHOURABI, Ph.D.

Malak GHOURABI, Ph.D.

PhD in Artificial Intelligence

Rigorous analysis, enhanced by generative AI.

  • Scientific background
  • IEEE publications
  • Master's thesis supervision
Aansa MUBEEN

Aansa MUBEEN

Data and LLM applications

From databases to AI pipelines: queries, data and prompts.

  • PostgreSQL, MongoDB
  • Prompt engineering
  • LLM pipelines
Sameeran AMARNATH

Sameeran AMARNATH

AI architecture and R&D, Coforge

Hands-on LLM R&D, and experience training professionals.

  • LLM R&D
  • Python
  • Edureka training

Detailed expert profiles available on request. Message us on WhatsApp →

Close follow-up

You join this bootcamp's cohort: close follow-up from the team, and Sylvie in person on some modules. Your feedback will shape the cohorts that follow.

Plans

Choose your plan

Four levels of support. The same program, with different guidance.

Based in West or Central Africa?
Essential

Full access

Support
Launch price
€490
then €990 from December 19
One-time payment · Lifetime access
  • ✓ All 38 modules, delivered live
  • ✓ Unlimited replays
  • ✓ Datasets & exercises
  • ✓ Templates & resources
  • ✓ Final project reviewed
  • ✓ DataSAI Data Analyst certification
  • - Exercises and labs reviewed
  • - Discord/WhatsApp community
  • - Exclusive bonuses
Professional

Guided

Support
Launch price
€990
then €1,990 from December 19
One-time payment · Lifetime access
  • ✓ Everything in Essential
  • ✓ Exercises and labs reviewed
  • ✓ Discord/WhatsApp community
  • ✓ Exclusive bonuses
  • - Group mentoring
  • - Data Analyst portfolio
  • - Real-world project in one industry
  • - Interview preparation
  • - One-on-one mentoring
Recommended plan
Career

Toward employment

Support
Launch price
€1,490
then €2,990 from December 19
One-time payment · Lifetime access
  • ✓ Everything in Professional
  • ✓ Group mentoring
  • ✓ Data Analyst portfolio
  • ✓ Real-world project in one industry
  • ✓ Interview preparation
  • - One-on-one mentoring
  • - Personalized project review
  • - Portfolio audit
  • - Career support
Complete plan
Executive

Premium

Support
Launch price
€2,490
then €4,990 from December 19
One-time payment · Lifetime access
  • ✓ Everything in Career
  • ✓ One-on-one mentoring
  • ✓ Personalized project review
  • ✓ Portfolio audit
  • ✓ Career support
  • ✓ Partner company network
  • ✓ Priority access to future courses
Money-back guarantee

Full refund, on request, until the end of the first week of classes.

Secure payment

By card, through Stripe. One-time payment, lifetime access.

A question before you enroll?

Message us on WhatsApp or book a free discovery call.

What happens after you pay

  1. Your access arrives by emailYou receive a confirmation email and find your course in your DataSAI learning space.
  2. Welcome session on Saturday, December 19Live: introductions, program overview and tool setup.
  3. Classes start on Monday, January 4, 2027Live and online, with the Academy's experts.

And until the end of the first week of classes, you can change your mind: full refund.

For companies

Training a team?

Enroll several employees, or book a private session for your company built around examples from your industry.

  • Invoice in your company's name
  • Pricing based on the number of participants
  • Private sessions in English or French
  • A single point of contact
or book a call
Know someone who would love this bootcamp? Recommend it and earn 20% of their enrollment fee.Become a partner →

Limited spots. The launch price is available until December 18, 2026. Prices go up after that.

💬
Is cost holding you back? Message us on WhatsApp at +1 (904) 243-7876. Installments, country-based pricing or a scholarship: we look at your situation and find a way. No motivated learner is turned away over money.
FAQ

Everything you need to know before you start

Have another question? Message us on WhatsApp and we’ll get back to you quickly.

When does the bootcamp start?

A live welcome session takes place on Saturday, December 19, 2026: introductions, the program and setting up your tools. Classes start on Monday, January 4, 2027, and end on Friday, March 12, 2027. The launch price is available until December 18, 2026.

Do I need any data or programming experience?

No. The bootcamp starts from scratch: if you can use a computer, you can follow it. Basic Excel skills help, but they are not required.

How much time should I plan each week?

Plan for 10 to 14 hours a week over ten weeks: a 2.5-hour live class, a 2.5-hour hands-on workshop, an optional 1-hour Q&A and 5 to 8 hours of independent work (exercises and mini-projects).

What if I miss a live session?

Every session is recorded. Unlimited session replays are included in every plan, with lifetime access.

Which tools will I learn?

Excel, SQL (PostgreSQL), Power BI, Tableau, Alteryx and Python (Pandas), plus AI applied to data analysis. A computer and a stable internet connection are all you need; in each module we point you to the free versions of the tools whenever they exist.

Which plan should I choose?

Every plan covers the same program; only the level of support changes. Essential gives you all 38 modules, with your final project reviewed. Professional adds exercise reviews, the community and the bonuses. Career adds group mentoring, a portfolio, a real-world project and interview prep. Executive adds one-on-one mentoring and career support.

Can I pay in installments?

Yes. Prices shown are for a one-time payment, but we can set up installments: just message us on WhatsApp. If you live in the CFA franc zone, you’ll be offered pricing in CFA francs.

What if I change my mind?

You get a full refund at any time until the end of the first week of classes: just email contact@datasai.fr. After that, if something unexpected stops you from continuing, you can transfer your enrollment to the next cohort for free. If we postpone or cancel a cohort, you choose between a full refund and a transfer. Refunds go back to your original payment method within 14 days of your request.

How do I earn the certification?

The DataSAI Data Analyst certification is included in every plan. To earn it, you complete each block’s exercises, deliver 8 mini-projects, build a portfolio and pass the final project, presented to a panel of recognized experts.

Ready to become a Data Analyst?

Join the January cohort and launch your career in data.

Questions before you enroll? Book a free discovery call →

Data Analyst BootcampStarts January 4 · from €490
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