Global MBA | AI & Big Data Track

Programming is the process of developing / writing a computer code of a software / application. The Python language is a popular and intuitive programming language characterized by the ability to conveniently and in a short time develop meaningful programs. In this course the students will acquire skills in writing code in Python, learn basic principles in programming, learn to think theoretically. No previous background required.

During the information age, companies must make decisions faster and more efficiently. In order to achieve this, we aim to automate the process of dealing with customers and financial decisions. In order to orchestrate the needs and results, managers need to know all the options available to them.

During this course, students will gain an understanding of the main principles of machine learning and apply methodologies to build a solution. Designed to build on the core course, which taught the concepts of train and test as well as basic algorithms for supervised and unsupervised learning, this course takes students to the next level of designing custom software systems. Algorithms for supervised and unsupervised learning that take students to the next level of designing complete solutions. The development of proof of concepts and solutions for their businesses. Due to the fact that coding complete systems can be time consuming, the students will be taught the use of an open source tool (Rapid Miner) to execute the system they will build, which will include machine learning and data manipulation algorithms.

Machine Learning for Business Machine Learning (ML) is changing our lives and businesses. This course prepares you with the relevant technical knowledge to drive growth, innovation, and efficiency in either your new business or existing organization. The focus is on empowering you as a business leader to ask the right questions about whether ML will benefit your business. Using your hands-on experience, you’ll create a demo that identifies realistic ML opportunities. ML Solution Based on Python, Pandas Scikit-Learn, GPT, and SQL This course will teach you how to successfully lead ML projects and people, and how to strategically leverage ML for business success.

This course will provide practical management tools in the field of artificial intelligence - building agents, analyzing data using artificial intelligence, creating search and query engines, writing content using GPT, building a database based on non-tabular data, and automating other processes.

Machine Learning (ML), Artificial Intelligence (AI) and Data Science (DS) are changing our life and business. This course provides a hands-on experience in creating solution and data analysis, using the Python language and its Scikit-Learn package. This course will prepare you to lead a machine learning project with data scientists, with focus on the business value and understanding. The course combines computer science skills, mathematical statistical understanding, soft skills and business understanding.

Digital marketing is becoming more and more dominant in companies business plans. Successful marketing managers and high-ranking executives have to be fluent in all online sales & marketing channels, to manage marketing professionals properly, set goals, and execute marketing plans.

The course covers the theory and practical use of relational database systems and the SQL data language they employ. Working extensively with MySQL 8.0 RDBMS, students learn to analyze data requirements, design a normalized schema, build an efficient database with emphasis on read/write performance and investigate contents’ relational databases. Additionally, the course introduces students to the “next generation” of non-relational systems.

This course gives an overview of how to encompass intelligence technologies and visual analytics to support decision-making and impact corporate strategy, performance, and competitiveness.

At each meeting, we will discuss the managerial skills needed for managing and leading big data and artificial intelligence projects in companies. Through practical experience at work, reading materials, feedback from peers and meetings with industry leaders (guest lectures will each address change processes in the field of artificial intelligence in society), students will be able to practice the required abilities before each class. The abilities we will discuss include critical thinking, skin in the game, storytelling with data, fast learning, and technological understanding.