Information and communication technologies
Collect, process and analyse data to help the company make decisions.
Length
7 months + 2-month work placement
Minimum level
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Diploma
Professional Qualification Diploma (DQP)
Microsoft Certified: Data Analyst Associate (Power BI); Google Data Analytics Professional Certificate; IBM Data Analyst Professional Certificate; Certified Analytics Professional (CAP)
- Professional Qualification Certificate (CQP)
- Possible international certification
Activities
The Data Analyst is a professional specialising in collecting, processing, analysing and interpreting data to help companies make informed decisions. They transform raw data into usable information through reports, visualisations or dashboards.
Main duties
- 1. Data collection and extraction
- Identify relevant data sources (internal and external).
- Extract data from SQL databases, CRMs, ERPs, Excel files, APIs, etc.
- Ensure the quality and reliability of the data collected.
- 2. Data cleaning and preparation (Data Cleaning)
- Remove duplicates, correct errors and manage missing data.
- Structuring and formatting data to make it analysable.
- Standardise data according to the company's standards.
- 3. Statistical analysis and modelling
- Conduct descriptive, predictive or exploratory analyses.
- Use tools such as Excel, R, Python, SAS or SPSS.
- Identify trends, correlations and key performance indicators (KPIs).
- 4. Visualisation and presentation of results
- Create dynamic dashboards (using Power BI, Tableau, Excel, etc.).
- Generate clear reports accessible to decision-makers.
- Present results in a concise and understandable way for non-technical audiences.
- 5. Support for strategic decision-making
- Recommend actions or courses of action based on the data analysed.
- Participate in the evaluation of projects, marketing campaigns, sales, finances, etc.
- Work with business departments to improve internal processes.
Company designations
- Data Analyst
- Data analyst
- Statistical Studies Officer
- Business Intelligence Analyst
- BI Analyst (Business Intelligence)
- Reporting analyst
- Data Officer (in certain contexts)
The Data Analyst profession may be practised
In a private company, in almost every sector (finance, telecommunications, industry, e-commerce, etc.).
- In a consultancy or ESN (Digital Services Company).
- In public organisations (healthcare, education, institutions).
- As a freelancer or independent consultant.
- They often work in collaboration with IT, marketing, finance or strategy teams.
Career opportunities are extensive
- Businesses with an advanced information system
- Banking, insurance and telecommunications
- Start-ups and digital companies
- Modernised NGOs or public institutions
- Strategy or data consultancy firms
A Data Analyst can progress to
- Data Scientist (with greater expertise in advanced modelling and machine learning)
- Data Engineer (with a focus on data architecture)
- Senior Business Analyst
- Data Project Manager / BI Manager
- Chief Data Officer (CDO) or senior data management position
- It is also possible to specialise by sector: finance, healthcare, marketing, etc.
14 modules. Tap a module to see what it covers.
- Introduction to data and the role of a Data Analyst
- Data typology (structured/unstructured)
- Data collection and storage process
- Data quality and governance
Detailed programme
Admission requirements
To enrol, prepare these items. The centre helps with your file, and training starts once the first instalment is paid.
- The registration form, filled in at enrolment
- A photocopy of your ID card or birth certificate
- Two 4 x 4 passport photos, less than 3 months old
- One ream of paper
- The first instalment of the tuition: 40%
- The registration fee
Ready to start in data analyst?
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See the sheetTell us what you want to do. We point you to the course that leads there and follow your enrolment.
- Personal guidance
- Training focused on employment
- A work placement
- Support before, during and after
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