Features
Description
InfoShare Academy is a leading IT academy offering comprehensive educational programs in new technologies for companies. Since 2015, we have been supporting organizations in developing technology teams through dedicated courses in Machine Learning, DevOps, Data Engineering, Python, UX/UI Design, AWS, and Kubernetes. Our training is based on practical skills and real business cases. We collaborate with over 300 industry practitioners, ensuring that our programs are tailored to current market needs. We specialize in reskilling and upskilling employees. With us, you will build effective teams implementing new technologies that will accelerate innovation and strengthen your company's competitiveness in the market. Check out our training offerings designed for companies, created to develop your employees' competencies in the IT field.
The "Fundamentals of Big Data" training is an intensive course designed to introduce participants to the world of analyzing large datasets. Focusing on the practical application of Big Data technologies, this course offers 80% of classes in the form of workshops and 20% theory, providing solid foundations and real skills necessary to work with large datasets.
This training is aimed at individuals who want to start their journey with Big Data, data analysts, programmers, and anyone interested in analyzing and processing large datasets.
- You will understand the concept and tools of Big Data – you will gain knowledge about key technologies and their application in practical data analysis.
- You will learn practical skills in data processing – how to prepare data for analysis, including importing, cleaning, and processing large datasets.
Day 1: Introduction to Big Data
Theory: understanding Big Data and its significance in today's world
Basic definitions and concepts of Big Data
Overview of tools and technologies used in Big Data
Workshops: working with data
Importing data from various sources
Preprocessing and cleaning data
Day 2: Data Analysis and Processing
Theory: methods of analyzing large datasets
Techniques for dimensionality reduction and data aggregation
Basics of statistical and exploratory data analysis
Workshops: practical application of Hadoop and Spark
Setting up the working environment
Creating and running simple data processing applications
16 hours/2 days
- Certificate of completion
- Monthly access to the training recording (for online format)
- Customization of the training program to meet client needs