The Postgraduate Diploma in Data Analytics provides a comprehensive exploration of essential concepts in the scope of data analysis and Big Data technologies. The curriculum reveals a practical focus on data wrangling and cleaning, ensuring students master the intricacies of preprocessing, cleaning, and transforming data for accurate and reliable analysis. Advanced statistical analysis and modelling, connected with the art of data visualization, empower students to derive meaningful patterns and insights from complex datasets, enhancing their ability to communicate findings effectively. The program extends its reach into the dynamic field of Big Data technologies, where students gain proficiency in handling large and intricate datasets using cutting-edge tools like Hadoop and Spark. Real-world application is emphasized through hands-on projects, allowing participants to apply their skills to tangible challenges, thereby building a portfolio that reflects their practical expertise.

• Personalised 1:1 Career Coaching and Mentorship
• Interactive Live Sessions Led by Global Experts
• Over 200 Hours of Guided Learning
• Continuous Support Available Seven Days a Week
• Real-World Industry Projects and Case Studies
• 15+ Tailored Industry Sessions for a Personalised Experience
• 10+ In-Depth Case Studies to Enhance Your Skills
• Interview Preparation and Mock Interviews for Career Success
• Hands-On Experience with Building Your Own Product (BYOP)
• A Career-Centric Approach to Achieve Your Goals
• Two Years of Unlimited Access to High-Quality Content
• Euclea Certification to Validate Your Expertise
• Customised Resume Building Exercise for Professional Enhancement
• Lectures by Highly Qualified Professors and Industry Experts
• More Practical-Driven Learning Through Industry Case Studies, Assignments, and Simulations
• Migration Opportunity to France or Dubai (Upon Visa Approval)
• Pathway to WES CANADA AND UK NARIC Recognized, Equated to Canadian Masters and British bachelor’s degree.
• Assistance in Capstone Project Development
• Placement and Internship Opportunities
   

• Data Analyst: Upon completing a PG Diploma in Data Analytics, students emerge as adept data analysts, equipped with the skills to collect, clean, and analyze data for actionable insights.
• Business Intelligence Analyst: In an era where data is a key asset, Business Intelligence Analysts play a critical role in transforming raw information into actionable intelligence, driving organizational success, and fostering a culture of data-driven excellence. 
• Data Scientist: This program prepares graduates to thrive in the multifaceted role of a data scientist. Whether conducting advanced statistical analyses, developing machine learning models, or presenting insights visually, these professionals are well-equipped to contribute meaningfully to the data science field and address the challenges of the data-driven industry landscape. 
• Machine Learning Engineer: Graduates of the Postgraduate Diploma in Data Analytics are excellently positioned for diverse career opportunities, with roles in machine learning being particularly well-suited to their skill set. The program equips them with a robust foundation in statistics, mathematics, and programming languages, laying the groundwork for advanced studies in machine learning.
• Big Data Engineer: This program prepares graduates to excel as Big Data Engineers by providing them with a comprehensive skill set, combining technical expertise, data management proficiency, and the ability to apply these skills to real-world big data scenarios.
• Data Engineer: These graduates are adept at designing, constructing, and maintaining the architecture necessary for efficient data generation, transformation, and storage. Their proficiency extends to the utilization of advanced data management technologies, ensuring the seamless handling of large and complex datasets — a critical competency for Data Engineers.
• Database Administrator: By completing a PG Diploma in Data Analytics, graduates position themselves for a successful career as a Database Administrator, leveraging their acquired skills to manage, optimize, and secure data systems in today's data-centric business environments.
• Business Analyst: Business Analysts contribute to the design and implementation of effective business solutions, ensuring alignment with organizational goals. They utilize data analysis, modeling, and evaluation techniques to improve efficiency, identify opportunities, and drive informed decision-making.

• Euclea Business School, France
• College De Paris

• A bachelor's degree in a relevant field such as statistics, mathematics, computer science, information technology, engineering, or a related discipline.
• Adequate proficiency in English is a must for all programs.
• Proficiency in programming languages such as Python, R, or SQL.

Programming Languages:

• Python
• R

Data Analysis and Visualization Tools:

• Jupyter Notebooks
• Tableau
• Power BI

Statistical Analysis and Machine Learning Libraries:

• NumPy
• pandas
• scikit-learn
• TensorFlow
• PyTorch

Big Data Technologies:

• Apache Hadoop
• Apache Spark

Database Management Systems:

• SQL
• MySQL
• MongoDB

Data Wrangling and Cleaning:

• OpenRefine
• Trifacta

Version Control:

• Git

Eucléa Business School is a higher education institution that is a member of the Collège de Paris, specialised in business, technology and alternating management. With four campuses strategically located in Strasbourg, Metz, Mulhouse and Reims, Eucléa offers a complete range of training, ranging from Post-Bac to Bac+5 level. Our school is dedicated to pedagogical excellence and personal development. Euclea’s goal is to help you develop your skills, explore new perspectives and prepare for a bright future while fostering a student life rich in opportunities.

Britts Imperial University College (UAE) is renowned for its outstanding technology and business education. The College, with its exceptional offerings, has gained immense popularity as one of the most desirable institutions in the Middle East and beyond. With a student population of over 3000 students, Britts Imperial University college has established a solid reputation in the field of Education. The institution has gained recognition for its innovative online and blended learning approach. The institution prioritises student placements and strives to make them more accessible by partnering with a wide range of organisations.

• Eligibility Check
• Application Submission
• Application Acceptance
• Provisional Admission
• Document Verification
• Admission acceptance

* Adjunct Professor

Is prior experience in data analytics necessary for enrollment, or is the program suitable for beginners?

• No prior experience is required. The program caters to individuals with varying levels of experience, including beginners. Foundational courses are included to accommodate those new to data analytics.

Can I complete this data analytics program on a part-time basis, or is it only offered as a full-time commitment?

• The program is designed to be flexible, offering both full-time and part-time options to cater to the diverse schedules and commitments of students.

How does the program incorporate hands-on experience in data analytics?

• Practical experience is integral to the program. Students engage in hands-on projects and a capstone project, applying learned concepts to real-world scenarios, ensuring practical proficiency.

Are there specific software or tools covered in the program, and do I need to purchase them separately?

• The program covers industry-standard tools like Python, R, and Tableau. In most cases, access to these tools is provided as part of the program, eliminating the need for separate purchases.

Does the curriculum include specialized tracks, such as focusing on healthcare data or financial analytics?

• Yes, the program offers specialized tracks to cater to various interests. Students can choose tracks such as healthcare analytics or financial analytics based on their career goals.

Is there support for networking and collaboration with peers and industry professionals during the program?

• Absolutely. Networking opportunities, online forums, and collaboration with industry professionals are encouraged, fostering a supportive learning community.

Can graduates of this program pursue further education, such as a master’s in data science or related fields?

• Yes, the program provides a solid foundation for further education. Graduates can seamlessly transition into advanced degrees if they choose to deepen their knowledge in data science.

Are there opportunities for mentorship or guidance from industry experts within the program?

• Yes, mentorship programs and interactions with industry experts are often integrated, providing students with valuable insights and guidance.

How does the program stay current with the rapidly evolving field of data analytics, and is there ongoing access to updated content after graduation?

• The program undergoes regular updates to align with industry trends. Graduates typically have access to alumni resources, including updated content and webinars, to stay current with industry advancements.