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January 28 - April 10

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28 January

About the Program

Professional Diploma in Data Analytics

Data Analytics is an exciting field that aims to analyze, interpret, and visualize data with the purpose to create insights for business decisions. There is an increasing demand for Data Analysts worldwide, with attractive employment prospects across a wide range of industries and organizations.

This program is designed to provide participants from a variety of backgrounds with a well-rounded immersion to the fundamentals of Data Analytics theory and practice. The diploma is taught by Data Science professionals with extensive industry experience. The content is delivered in an engaging approach, combining fundamental concepts with the practical application of tools through live demonstrations and lab sessions.


Who is this program for?

This Professional Diploma is designed for undergraduates, graduates (Bachelor, Master, or Ph.D.), and professionals aiming to enhance their knowledge and skills to pursue careers as Data Analysts, Business Intelligence Analysts, and Data Officers.

Programming experience is not required. 

Course Info
10 weeks | 115 hours
(51 hours exercises)
 
Language: Greek
Content: English
Calendar
Monday & Wednesday
18:00-22:00
 
5 fixed Saturdays
10:00-17:00
(See FAQ below)
Program Benefits

Start your career in Data Analytics

Data Analytics is the fastest-growing domain in Industry 4.0, and will remain in great demand. Data is now the most valuable resource globally. Value is created when data is collected, connected to other relevant data, and processed through data analytics methods and tools that turn into actionable insights and business knowledge.

The Professional Diploma in Data Analytics is a hands-on, low-code course, designed to give you valuable knowledge and insights for Data Analytics. You will also be exposed to platforms and tools widely used in the industry, such as Python, SQL and Power BI.

 

In this course, you will learn how to:

Analyse data

Apply principles relating to data handling, representation, visualization, retrieval, and analysis

Detect patterns

Detect data patterns and draw conclusions based on data by using data analytics methodologies

Critical thinking

Develop critical thinking skills associated with problem identification and solving

Program Outline

Curriculum in Modules

Each module introduces a new chapter. You learn by practising to solidify your new in-demand skills and knowledge.

Get the curriculum

Python

  • Intro to Data Analytics
  • Python Essentials
  • Advanced Python
  • Python Lab

Descriptive Analytics

  • Fundamentals of Data Analytics and Machine Learning
  • Descriptive Analytics
  • Data Analytics with Pandas - Data Visualization
  • Linear Algebra and Calculus
  • Data Analytics Lab

 

Big Data & SQL

  • Databases and Big Data
  • SQL Essentials
  • Advanced SQL
  • SQL Lab

Visualisation & Power BI

  • Interactive Dashboards
  • Power BI
  • Data Analysis Expressions (DAX) Language
  • Power BI Lab

 

Predictive Analytics

  • Types of Machine Learning
  • Data Pre-processing Lifecycle and Evaluation
  • Predictive Models
  • Business Real-World Case Studies and Future Trends
  • Datathlon

Our Impact

1000

Teaching Hours

400

Graduates

42

%

Female Students

A Day on Campus

Learning in-class at Deree - The American College of Greece campus

The program is delivered in person at Deree - The American College of Greece campus, offering participants the opportunity to interact and learn by doing. The collaboration of the Big Blue Data Academy and Deree - The American College of Greece guarantees an educational experience of the highest standard. Shared guiding principles include student-centered learning, and the balance between theoretical knowledge and practical application, providing a meaningful participant experience. 

 

Deree – School of Graduate and Professional Education

Deree – School of Graduate and Professional Education

At the School of Graduate and Professional Education, the guiding values include student-centered learning, scholarship, and ethical citizenship, all equally contributing to a first-class education. Students enjoy access to the abundant Deree resources, like the outstanding learning facilities.

Our team is always by your side!  

Our team is always by your side!  

Our team of experts will be supporting you every step of the way, providing you with valuable feedback. Our instructors and teaching assistants are always present to mentor you, help solve problems and review your progress.

Testimonials

Participants wrote about us:

Group Project: Datathon

Work on a group project and join a Datathon competition 

At the final stage of the program, you and your colleagues will be challenged to solve practical problems by applying data analytics tools and techniques. 

Be creative

DATATHON is a data-focused hackathon where you will be given a dataset and a limited amount of time to build, test, and explore solutions using your creativity and data analytics skills.  

Work together

You will work together in teams to generate insights and potential solutions to real business cases. 

 

Tuition Fees

January cohort - Special Offer

28 Jan

Start Date

12

Seats left

1.190€ 990€

Tuition

Fees are payable in up to 6 installments. A personal laptop is necessary during the courses.
For companies (2+ participants) please contact us.

Our Instructors
FAQ

The Saturdays on which the labs for the Professional Diploma in Data Analytics will take place are:

  • 15.02.2025
  • 22.02.2025
  • 08.03.2025
  • 22.03.2025
  • 05.04.2025
  • Maximum absences: 4 weekly days and 1 lab
  • Success on the final examination
  • Participation in Datathlon, contributes 10% to the final score

Prof. Diploma awarded by Deree - The American College of Greece & Big Blue Data Academy Switzerland, verified by Accredible.

Registration cancellations received before the beginning of the course are entitled to a 100% refund of the amount paid; cancellations received after its beginning are not entitled to any refund.

A data analyst can work in a variety of industries, including technology, finance, healthcare, retail, marketing, sports, HR, and consulting. They use their skills to analyze data, identify trends, and make informed recommendations to help businesses make better decisions. 

Prof. Diploma in Data Analytics

November 11 - February 10