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AI Data Factory: A comprehensive Machine Learning & Data Analysis Bootcamp

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Short Overview
The program is designed for both beginners and professionals seeking a deep understanding of the techniques and tools of data science that are essential in the modern business world. Through a balanced combination of theoretical instruction and practical applications, participants will learn how to process data and develop machine learning algorithms for predictive modeling. The program is ideal for those looking to enhance their skills, advance their careers in the data field, or acquire the necessary knowledge to pursue further studies at the graduate level.
Learning Goals
Upon successful completion of the program the trainee will be able to
  • program in Python,
  • use popular packages such as NumPy, Pandas, and Scikit-learn, and will be able to use them to develop and evaluate machine learning models.
  • understand fundamental knowledge in Calculus, Linear Algebra, Probability and Statistics, necessary to understand the techniques of machine learning and data analysis.
  • design and execute efficient SQL queries to prepare data for machine learning models,
  • integrate relational data into machine learning models to analyze and process data at scale.
  • train and evaluate supervised learning models using techniques such as linear regression and decision trees,
  • apply supervised techniques to real data to build predictive models.
  • apply clustering and dimensionality reduction techniques for unlabeled data analysis, recognize and interpret underlying patterns in unstructured data.
  • create and present data visualizations that facilitate strategic business decision-making,
  • analyze business data and extract valuable information through advanced visualization tools.
  • manage large volumes of data using technologies such as Hadoop and Spark,
  • use NoSQL techniques and cloud-based applications for the efficient analysis of big data.
  • implement recommendation systems using techniques such as content-based filtering and collaborative filtering,
  • evaluate the performance of recommendation systems and adapts the models for better interaction with users.
  • develop and train neural networks for data analysis and natural language processing,
  • acquire skills in applying NLP techniques to understand and produce human language in various applications.
Program Value
Attending the program offers:
  • Acquisition of Expertise: Participants learn the most up-to-date techniques and tools required in data science.
  • Professional Development: It enhances participants' skills, improving their professional prospects in a rapidly growing field.
  • Career Opportunities: It opens doors to new careers or promotions in data-related roles and machine learning.
  • Foundation for Graduate Studies: It provides the necessary knowledge for further studies at the graduate level.
  • Application in Real-World Scenarios: Through practical applications, participants gain experience in realistic projects, enhancing their ability to apply their knowledge in their professional environment.
Program Website
Teaching Language
Greek
Application deadline: 31/12/2024
Program start: -
Program completion: -
Scientific area
Way to follow
ECTS units: 13
Hours of live training: 210
Includes training hours with classroom, laboratory, or remote (via live streaming) instruction along with any breaks.
Hours of asynchronous training: 20
Includes training hours (indicative) using an asynchronous distance learning (eLearning) platform.
Additional hours of employment: 160
Additional hours of work are included (indicative) and may include individual study, writing assignments, participation in field visits, participation in exams, etc.
Total hours: 390
The total hours include hours of synchronous and asynchronous training, as well as additional hours of employment.
Weeks of training: 20
Weeks in which activities of any kind are planned are included.
Maximum number of absences: 15
Vocational Education and Training Certificate
Trainees who successfully complete the program are granted a Vocational Education and Training Certificate of the Center for Education and Lifelong Learning of the Athens University of Economics and Business, which is accompanied by a Supplement to the Certificate, detailing the subject of the program, the thematic units attended by the trainee , as well as the training methodology followed.
Target Audience
The program is targeted to professionals and aspiring data scientists eager to advance their careers in the fast-growing field of machine learning and data analysis. This hands-on program combines theoretical foundations with practical applications, empowering participants to master cutting-edge techniques in machine learning, data processing, and predictive modeling. Through a series of interactive sessions, real-world projects participants will gain the skills needed to excel in today’s data-driven world.
Prerequisite Knowledge
The program is designed to be comprehensive and self-contained covering all the necessary subjects required, allowing participants to acquire the necessary expertise without prior experience or knowledge. Ideally it would be desirable for the trainee to be a student or graduate of a school related to the subject.
Cost
ΔΙΑ ΖΩΣΗΣ: 1200€
LIVE STREAMING: 1200€
Trainees are informed of the installment amounts and related deadlines via email upon their acceptance into the program.

CONTACT

46, Kefallinias Str., 11251, Athens

  • dummy secretariat@diaviou.aueb.gr

  • dummy+30 210 8203 913


For the in Class programs:

  • dummydiazosis@diaviou.aueb.gr

  • dummy+30 210 8203 916, 912, 914


For the eLearning Programs:

  • dummyelearning@diaviou.aueb.gr

  • dummy+30 210 8203 753

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