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AI & BIG DATA: Big Data Analyst

Course AI & BIG DATA
Big Data Analyst

Course AI & BIG DATA
Big Data Analyst



Course Big Data Analyst

A course that combines the most in-demand technologies in the job market. 120h of Live Online practical training structured in modules dedicated to SQL, Excel, PowerBI, Tableau and Python.

CourseAI & BIG DATAFormula Part-time

The course is designed to make you acquire the mindset of a Big Data Analyst and let you become proficient with the most innovative data analysis technologies starting from the basics. Count on data to count in your future career!

AI & BIG DATA: Big Data Analyst


Duration: 120 hours

Job Placement


Where the Course Big Data Analyst will take place?





Dubai UAE - April 2023
Al Zahra St, Building In5 Tech

10% OFF
For all registration received by 30/12/2022


10 places available
Course capacity: 12

Online - April 2023

10% OFF
For all registration received by 30/12/2022


10 places available
Course capacity: 12

Course Big Data Analyst | AI & BIG DATA duration Part-time

Due to the increasing amount of data that needs to be processed and organized everyday, the data analysis market is growing rapidly. 
Data analysis, which in 2019  generated revenues amounting to 25 billion USD worldwide, is expected to reach a global market value of about 135 billion USD by 2026. North America and the Euro Area are the main markets in this field, but positive growth projections are confirmed also for other regions of the world, such as Pacific Asia, Middle East, Africa and South America.  

What does a Big Data Analyst do?

A Big Data Analyst examines large data streams generated by heterogeneous sources, such as transactions, web & social interactions, notifications from IoT devices etc. to gain a strategic advantage in decision-making processes. Its activity is aimed at obtaining a forecast advantage both in identifying new opportunities and in managing risks.
Data analysis is the process of extracting meaning from raw data using scientific models, hypotheses and theories. Data analysis technologies and techniques transform raw data, organize and shape it to draw conclusions and to identify different patterns. Data analysis techniques are used extensively in business to enable companies to make more informed business decisions.

MODULE 1 | Managing Data with SQL

SQL is the most used programming language for the management of relational databases in the world: knowing its mechanisms is essential for starting to work with data. In fact, by making it possible to organize, manipulate and display the data inside a database in a personalized way, SQL allows users to focus only on the elements they are interested in. 

The SQL language allows users to work on two fronts: programming and data processing on one side, and data visualization on the other. In fact, thanks to SQL it is possible not only to process millions of data rows in a few seconds, but also to manage the database and to analyze data in a specific and customizable way while preserving it.

MODULE 2 | Business Intelligence with Excel & PowerBI

Excel is the most widely used spreadsheet software in the world, with an undisputed leadership over its more limiting and less flexible direct competitors. With Excel it is possible to import, visualize, manipulate and share data, but very few know how to take full advantage of its potential to obtain strategic Business Intelligence analysis aimed at business development.

This module will allow participants to acquire operational skills in the main technologies used within Excel such as: Power Pivot to create data models, define relations and perform calculations with large data sets; DAX (Data Analysis Expression) advanced language for dynamic data analysis; Power Query to locate, connect, combine and refine data sources in order to meet analysis needs.

With Power BI you will learn how to create effective reports and dashboards, as well as how to transform unrelated data sources into a set of coherent, visually appealing and interactive information that can be shared among users.

MODULE 3 | Data Visualization with Tableau

Tableau is one of the most powerful and fastest evolving Business Intelligence (BI) and data visualization tools. Visualizing data with Tableau allows complex ideas to be communicated in a simple and compelling way. Besides, its expressive visualization makes it possible to go beyond static graphs to create interactive and multifaceted visualizations that can be explored in every dimension. These features make Tableau the definitive tool for the development of creative and effective data-driven strategies that every decision-maker needs.

MODULE 4 | Data Science with Python

Data represents the basis of innovation, but their true value derives from the information that can be acquired through predictive models that the new data science translates in trends and insights. 

In this module, you will learn to make effective decision-making strategies with Python, which due to its versatility and reliability has become one of the most used and most popular programming languages in the field of data science. More specifically, you will learn how to program with Python from the basics and how to use its libraries (NumPy, Pandas, Matplotlib, Seaborn) for many different purposes.

Request a one-on-one interview to learn more about each teaching unit.


By participating in the Starter program you will be eligible to attend the additional modules provided in the 240h Big Data Analyst Junior Expert.
*the additional modules must be purchased separately.

The course includes contents that prepare you for the certifications in Tableau and Python Foundation.

The course is aimed at all those who want to become Big Data Analysts starting from the basics. In fact, it is open also to beginners, who are however recommended to have basic computer skills. 

The course is especially indicated for decision-makers who wish to learn how to make informed decisions based on data, such as Business & Financial Advisors, Project Managers, Social Media Managers, Marketing & Sales Managers, Brand Managers, Logistic Managers, E-commerce Managers. Among the other professional figures who can benefit from this course there are professionals from the IT world, such as Web Developers and UI Designer, and people working in the field of communication. 

At the end of this course, you will be able to:
- Use Excel, SQL and Tableau to collect, clean and analyze large data sets;
- Present insights to clients in the form of dashboards resulting from the analysis of the data provided;
- Tell compelling stories with your data through data visualization.
- Program with Python and use its main libraries (NumPy, Pandas, Matplotlib, Seaborn)

Diploma & Certifications
At the end of the course, you will receive:

  • certificate of completion “Geeks Academy DIPLOMA”;
  • a “DIPLOMA SUPPLEMENT” and the EXIN International Certifications included in your study plan (if you choose to sit the exam, which is not mandatory);
  • completion “BADGES” shareable on LinkedIn Licenses & Certifications section.

Furthermore, for those who will attend the bootcamp in Dubai, starting from January 2022 it will be possible to obtain an international diploma recognized by the Emirate of Dubai. 

Job Placement & Career Coaching 
This course will grant you access to exclusive Career Days with our partner companies and organizations. Besides, 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!

International Experiences
To our students we offer the possibility to take part in exciting study trips in Dubai, Seoul, Milan, Rome and Singapore, where the hubs of our international network are located. These immersive experiences represent a great way to enrich students’ wealth of knowledge and increase their career opportunities.

Global Alumni Community
By joining this course, you will automatically become a member of the AGA: the Alumni Geeks Academy.
AGA is the community that gathers all our former students in order to offer them support, help them strengthen and develop professional relationships, provide them with networking opportunities and notify them about the latest job offers. The Alumni International Day represents the community’s most important international networking event, as well as a valuable opportunity to keep up-to-date with the latest trends and technologies. 

Smart Education Formula
Course delivery mode: synchronous distance learning + optional activities in presence. 

The lessons will take place on Saturday and Sunday (10:00-13:00 and 13:45-15:45 CET).

*The hours indicated are intended as academic hours of 50 minutes each.

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 Live Online 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 & software requirements
Notebook: 64-bit dual core CPU | 8GB RAM | O.S. Windows, Linux or macOS

Payment Method
It is possible to choose between two payment options:
•    Single solution: in this case, payment must be issued in one single solution before the beginning of the course, and will grant you an additional 5% discount. 
•    Multiple installments: 50% of the tuition fee must be paid before the beginning of the course, while the remaining 50% will be divided in monthly installments.

The number of places available is limited

Please fill out the form to inquire about our services & promotions and to check the availability.

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European Data Workers will grow from the current 6 millions to 13.4 millions by 2026; the worldwide value of the Big Data Analytics market will rise from $8.5 billion in 2017 to $40.6 billion in 2023. In 2019, the value of the Italian Big Data market was estimated at €1.4 billion, registering an increase of 26% if compared to the previous year.

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