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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.
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.
10 weeks | 106 hours
Data Analytics is the fastest-growing domain in Industry 4.0, and will remain in great demand for the next decade. 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. In this course, you will learn how to:
Apply principles relating to data representation, retrieval, and analysis
Detect data patterns and draw inferences and conclusions supported by data by using data analytics methodologies
Develop critical thinking skills associated with problem identification and problem-solving
Communicate findings and their implications to broader audiences
We designed this program so that you gain valuable knowledge and insights in the field of Data Analytics. You will also be exposed to platforms and tools that are widely used in the industry, such as Python, SQL and Power Bi.
Teachning Hours
Graduates
Female students
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.
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.
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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.
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.
The Big Blue Data Academy & Deree - The American College of Greece 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.
You will work together in teams to generate insights and potential solutions to real business cases.
On which Saturdays is the course held?
The Saturdays on which the labs for the Professional Diploma in Data Analytics will take place are:
What are the requirements to receive the Prof. Diploma?
Is there any certificate?
Prof. Diploma awared by Deree - The American College of Greece & Big Blue Data Academy Switzerland
Which is the cancellation & refund policy ?
Registration cancellations received 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.
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