Certification - Tech Management EXIN Data Analytics | AI & DATA ANALYTICS duration Part-time
Data analysis has roots that stretch all the way back to ancient Egypt, yet the data-rich landscape created by globalization and rapid technological progress is entirely new. Organisations of every size now recognise that systematically gathering and exploiting data is indispensable for sound business decisions. This centrality is reflected in the explosion of data-driven roles—data analysts, data scientists, data engineers and data managers, among others.
Modern data analysis spans the collection and storage of both structured and unstructured data, the essential preparation steps such as cleansing, and advanced aggregation techniques that reveal actionable insights. These activities are no longer the sole preserve of technical specialists: many business-focused roles today must request, interpret or even produce analytical reports. For that reason, anyone who processes data—or who relies on data-backed insights—needs a solid grasp of how raw figures are transformed into meaningful information and how to communicate those findings effectively to support decision-making.
Course Outline The EXIN Data Analytics course covers the following key topics:
- Data transformation: basic concepts & business intelligence
- Data collection, organization and management
- Data cleaning and storage
- Data analysis: statistics, data extraction, machine learning, algorithms
- Data visualization
Request an individual interview to learn the details of the individual teaching units!
International Certifications Since 2019, Geeks Academy has been an accredited location for the delivery of courses and exams for the international EXIN certifications.
Thanks to this course, you will have the opportunity to take the exams for the certifications:
- EXIN Data Analytics Foundation
Who is this course aimed at?
This course delivers a solid grounding in the end-to-end data-analysis workflow and is ideal—not exclusively—for professionals in roles such as data analyst, data scientist, business analyst, and digital specialist. While open to all, participants will benefit from prior familiarity with Business Intelligence tools.
What will you gain from this course?
Upon completion of the course, you will have acquired a solid understanding of the data analysis process, and will be able to successfully lead work teams within your company.
Diploma & Certifications
At the end of the course, you will receive a certificate of completion “GEEKS ACADEMY DIPLOMA”, a “DIPLOMA SUPPLEMENT” and the INTERNATIONAL CERTIFICATION EXIN Data Analytics(if you choose to sit the exam, which is not mandatory).
Career Coaching
For a period of 5 years after the conclusion of the course, you will have the chance to benefit from our Career Coaching service for free. Over 95% of our graduates have found a job within 3 months since the end of the course!
Teaching Arrangements & Technical Equipment Smart Education Formula
The course is delivered entirely via distance learning, with live online sessions led by qualified instructors. Classes are scheduled in the evening (e.g., Tuesdays and Thursdays, 21:00–22:40) and/or on weekends (Saturday and Sunday, 10:00–13:20 and 14:10–17:40)*.
The curriculum includes hands-on exercises, virtual labs, and all learning materials. All times refer to 50-minute academic hours.
*UTC+2 (Rome)
E-learning Platform
Our flexible approach allows you to study wherever and whenever you want, even if you work and do not have much time. All lessons are delivered OnlineLive by qualified teachers, and are recorded in real time to give you the opportunity to watch them asynchronously on our e-learning platform, in case you miss one lesson or you want to review some contents. Among other things, on the platform you will also find many useful materials for self-studying, such as self-assessment tests, exercises and exam simulations.
Minimum hardware requirements
Notebook: dual core 64-bit on x86-64 CPU | 8GB RAM | HDD / SSD: (40GB for V.M. Windows + 10GB for V.M. Linux)
Payment Method
Payment must be issued in one single solution before the beginning of the course. The number of places available is limited
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