Gain expertise in data science for career growth with our comprehensive academy.
Created to help you learn the basics of each field before attending the sessions.
Our soft skills, mockup interview and freelancing sessions will help you lend the perfect job.
Payment plans, learning format and schedule designed to meet your needs of flexibility nowadays.
All of our programs are designed with a focus on the demands and needs of the local and international markets to provide diverse opportunities for our students.
Explore key concepts, terminology, and the data science process. Dive into essential tools and mathematics used in data science, including practical applications with Excel.
Learn to query databases, manipulate data, and perform advanced analytics using SQL. Dive into topics such as subqueries, joins, and window functions for comprehensive data analysis.
Explore the statistical programming language R in this 8-hour module. From fundamental concepts to advanced techniques, master data manipulation, analysis, and visualization with R for comprehensive statistical programming.
Embark on a comprehensive journey into AI and machine learning. Explore various machine learning algorithms, including regression, classification, clustering, and decision-making techniques. Gain practical experience through real-world projects and model selection.
Enhance your data wrangling and visualization skills. Learn to work with complex data structures, reshape data efficiently, and create impactful visualizations for exploratory data analysis.
Delve into the ethical considerations and legal frameworks surrounding data science. Learn how GDPR impacts data science practices and explore principles of ethics crucial for maintaining trust and integrity in your work.
Learn to create dynamic and interactive visualizations, build dashboards, and tell compelling stories with your data. Explore advanced features for data preparation and analysis.
Unlock the capabilities of Power BI for data analysis and visualization. Learn to connect, clean, and transform data, create interactive dashboards, and perform advanced analytics with DAX and R integration.
The module of Analytics & Big Data, focuses on essential concepts and practical applications. Begin with the fundamentals of web analytics, learning how to create and configure a Google Analytics account to track website performance effectively.
From the basics of Python syntax to advanced data manipulation with libraries like NumPy and Pandas, master essential skills for cleaning, analyzing, and visualizing data efficiently.
Explore big data modeling, management systems, integration, and processing techniques. Learn to leverage Hadoop and distributed file systems for scalable data processing.
Industry experts that will guide, mentor and inspire you
Our programs, materials and lecturers are accredited by 2 prestigious international institutions