Advanced - Master Program AI & Big Data | AI & BIG DATA duration
Big data, the new gold! With digital development and widespread computerisation, not only large companies but also small and medium-sized ones find themselves in possession of large amounts of data to process.
Since this data can provide very valuable information, it has become increasingly crucial for companies to be able to rely on people who can handle it and extract its hidden meanings. By now, all major business decisions are data-driven, and numerous tools exist to perform extremely refined and effective data analysis.
In this course, you will learn fundamental languages for data analysis and programming, such as Python, SQL and JavaScript, and you will learn how to use some of the most advanced tools in the industry, such as Excel, PowerBI, MongoDB, Tableau and Python libraries (Pandas, Matplotlib, Seaborn). In addition, you will master Machine Learning and Artificial Intelligence technologies such as Scikit and Tensorflow. International certification modules in: Artificial Intelligence, Cloud Computing, Blockchain Foundation, Privacy & Data Protection and Agile Scrum.
Employment opportunities in this sector are excellent and currently the demand for experienced Big Data Analysts from companies exceeds the number of our graduates. So what are you waiting for, become a Big Data specialist yourself!
Course Outline
MODULE 1 | Basic Computer Science
- Computer Science
- Programming principles
- Virtual Machine
- Networking Routing & Switching
- Linux Basics
- Managing Data with SQL
- Python web developer
- Effective Linkedin Profile/ Soft Skills (optional and included)
Aim: To equip participants with the basic computer skills necessary to be able to understand and benefit from the topics covered in the following modules.
MODULE 2 | Data Analysis
- Data Science with Python
- Machine Learning with Python
- Data Visualization with Tableau
- Business Intelligence with Excel
- Data Analytics Foundation (valid for int. EXIN certification)
- Prompt Master
Objective: to equip participants with the necessary skills to graphically represent data in an interactive and appealing form and to ensure the usability of data for the purposes of analysis and information extraction by collecting and organising them according to precise pipe-lines
MODULE 3 | AI, Data Engineering & Cloud
- Artificial Intelligence (valid for int. EXIN certification)
- AI Labs: Artificial Intelligence 2 - Generative AI
- Privacy & Data Protection (valid for full EXIN certification)
- Cloud Computing Foundation (valid for full EXIN certification)
- Cloud Computing Labs
- Business Intelligence with PowerBI
- MongoDB 4 Data Engineer
Aim: To equip participants with the essential skills to extract knowledge from data in all its forms using the latest analytics and artificial intelligence tools. To obtain skills to use the latest generative AI and Cloud computing technologies.
MODULE 4 | Big Data Analytics & Blockchain
- Blockchain Foundation (valid for int. EXIN certification)
- Blockchain Lab 1
- Data Science with Knime
- JavaScript/HTML5/CSS3
- Agile Scrum (valid for full EXIN certification)
- Metaverse Labs (alternative)
- Gamification 4 Business (alternative)
- Google & Social Networks 4 Business (alternative)
Objective: to equip the participant with a horizontal knowledge of all other technologies necessary to achieve digital leadership in Big Data, focusing on Blockchain and key soft skills, the main disruptive technology of the Digital Transformation.
MODULE 5 | Italian Language 4Tech
On Demand for foreign students
Since 2019, Geeks Academy has been an accredited venue for the delivery of courses and the conduct of examinations for the EXIN international certifications.
Thanks to this course you will have the opportunity to take the exams for the following certifications:
- EXIN Artificial Intelligence
- EXIN Data Analytics
- EXIN Cloud Computing
- EXIN Privacy & Data Protection
- EXIN Agile Scrum
- EXIN Blockchain Foundation
Thanks to the presence of basic teaching units, the course is accessible to a wide range of participants, whether they have previous digital training or not. A prerequisite for admission is a strong curiosity for topics concerning data analysis and digital technologies in general.
By the end of the course, you will have gained skills to perform predictive modelling and use graph analysis to model problems. Specifically:
- you will have learnt the fundamental languages for programming and data analysis (Python, SQL and JavaScript);
- you will have learnt to use some of the most advanced tools in the field (Excel, PowerBI, MongoDB, Tableau, Pandas, Matplotlib, Seaborn);
- you will have mastered the use of the latest technologies in the field of generative Artificial Intelligence;
- you will have acquired solid skills in the use of Machine Learning and Artificial Intelligence libraries with Python (Scikit-learn, Tensorflow);
- you will have acquired solid skills in Cloud Computing and Blockchain
- you will have learnt Agile Scrum principles
Basic technical equipment
Notebook: 64-bit dual core CPU | 8GB RAM | S.O. Windows, Linux or macOS
All courses are limited number.
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