Diploma

Data Science & Analytics — Beginners

An accessible, hands-on introduction to data work.

€290

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Data Science

At a glance

Credential
Diploma
Faculty
Data Science
Duration
3–6 months
Format
Online, English
Next intake
January
Tuition
€290

About this programme

Data Science & Analytics — Beginners

Diploma in Data Science & Data Analytics (Beginners) – 100% Online Unlock the Power of Data & Kickstart Your Career in Data Science! In today’s digital economy, data is the new gold —and businesses across industries rely on data scientists and analysts to turn raw data into valuable insights. Whether you want to start a career in data science, enhance your analytical skills, or gain a competitive edge in business , this diploma provides the perfect foundation. The Diploma in Data Science & Data Analytics (Beginners) is a 100% online, hands-on program designed for beginners looking to understand data, work with datasets, and apply analytical techniques to real-world business problems . No prior coding or technical experience is required—just a passion for learning and problem-solving!

Why choose this programme

  1. 01

    100% Online & Beginner-Friendly – No technical background required.

  2. 02

    Taught by Industry Experts – Learn from data scientists, analysts, and AI professionals .

  3. 03

    Hands-On Learning – Work with real-world datasets and analytical tools .

  4. 04

    Master Key Data Tools – Learn Python, SQL, Excel, Tableau, and Power BI .

  5. 05

    High-Demand Skillset – Data analytics is a top career choice across all industries .

What you'll learn

On graduation, you will be able to:

  • Understand the Fundamentals of Data Science & Analytics – Learn how businesses use data to drive decisions .

  • Work with Large Datasets – Understand data collection, cleaning, and preprocessing .

  • Learn Statistical & Analytical Techniques – Master data visualization, predictive modeling, and statistical analysis .

  • Use Python & SQL for Data Analysis – Learn the basics of Python programming, SQL queries, and database management .

  • Build Dashboards & Reports – Work with Excel, Tableau, and Power BI to present data-driven insights .

  • Apply Data Science in Business & Industry – Learn how companies use data for marketing, finance, healthcare, and e-commerce .

Career horizons

Where alumni land.

  • Data Analyst – Analyze business trends and performance using data.
  • Business Intelligence (BI) Analyst – Use tools like Tableau & Power BI for data-driven reporting.
  • SQL & Database Analyst – Manage and retrieve data from databases for insights.
  • Marketing Data Analyst – Analyze customer behavior and digital marketing performance.
  • Financial Data Analyst – Work with data to optimize investment strategies and forecasting.
  • Junior Data Scientist – Use Python and machine learning for predictive analytics.

Curriculum

5 modules across 3–6 months.

Asynchronous-first delivery. Each module opens with a live cohort seminar, followed by structured study, an applied assignment, and faculty feedback.

  1. 01

    Introduction to Data Science & Analytics

    Learn the foundations of data science and its role in business and technology. Understand how data is collected, stored, and analyzed.

  2. 02

    Data Analytics with Excel, SQL & Python

    Learn how to clean, organize, and analyze datasets using Excel and SQL queries. Get started with Python programming for data analysis.

  3. 03

    Data Visualization & Business Intelligence

    Learn how to turn raw data into meaningful insights using Tableau & Power BI. Work with charts, dashboards, and interactive reports.

  4. 04

    Statistical Analysis & Predictive Modeling

    Understand data-driven decision-making using statistics. Learn about regression, probability, and machine learning basics.

  5. 05

    Real-World Data Science Applications

    Explore how data science is used in marketing, finance, healthcare, and e-commerce. Learn about big data, cloud computing, and AI integration. Final Project: Analyze a real-world dataset and present insights using Python, SQL, and visualization tools.

Admission

What we look for.

Admission to the Diploma is reviewed by a faculty panel. Decisions are returned within fourteen days of a complete application.

Begin an application →

You will need

  • 01No prior data work required.
  • 02Application.
  • 03Background overview.

To complete

  • 01Coursework, project portfolio.

Tuition

One programme. One transparent fee.

Includes coursework, faculty supervision, examinations and the accredited credential.

Full tuition table →

Programme tuition

€290

Enrol now →

What it covers

  • Full programme curriculum and asynchronous content
  • Live cohort seminars and faculty office hours
  • Personal academic supervisor
  • Examinations and the accredited credential
  • Apostille-eligible degree (Hague Convention)
  • PMU Alumni Network & Career Hub access

Tuition shown in euros. EU VAT may apply depending on the candidate's country of residence. All major cards, SEPA and PayPal accepted.

Frequently asked

Questions worth answering.

Is this programme genuinely 100% online?
Yes. The Diploma is delivered fully online, asynchronous-first, with live cohort sessions punctuating each module.
What credential is awarded?
On successful completion, candidates are awarded the Diploma in Data Science & Analytics (Beginners) by Paris Metropolitan University. The credential bears the institutional seal.
How much time should I commit each week?
A working baseline of eight to ten hours per week. The programme is paced for adults in role.
Are there prerequisites?
No prior data work required. Application. Background overview.
Do you offer financial assistance?
Need-based fee remission is available; speak to admissions before applying so we can discuss the right path for your circumstances.
Can I defer my admission?
Admitted candidates may defer once to a subsequent intake within twelve months, at no additional cost.
Is the credential recognised internationally?
PMU is an ACBSP candidate, an EAHEA institution, and registered under French private higher-education law. Credentials are honoured worldwide.
What happens after graduation?
Alumni retain access to the institutional network, the journal, the careers practice, and library subscriptions.

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