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  1. Analytics

Data analysis and visualization in Tableau Software

Course Data analysis and visualization in Tableau Software enables students to utilize full potential of data through Tableau Software, where they will learn how to connect to various data sources (Excel, Relational Database, Big Data), create dashboards and share customer reports.
On demand
  1. Data Engineering

Introduction to SQL query language

During two days of training, you will learn what are databases, how to merge tables and manipulate data. Learning the SQL query language will be done on the Microsoft SQL Server platform, and education involves demonstration on real-case examples.
On demand
  1. Analytics

Data analysis and visualization in Microsoft Power BI

"Data analysis and visualization in Microsoft Power BI" course will give attendees a thorough understanding of Microsoft Power BI tool guiding them through all the steps of reporting, from merging to different data sources, adding simple calculations, data transformation, visualization and dashboards, and ultimately using only the built reports.
On demand
  1. Analytics

Microsoft Excel for Analysts

Microsoft Excel is the most widely used tool in the everyday business environment for three decades. The basic reason for this is its speed, flexibility and simplicity that the business environment demands. Expanding your basic Excel knowledge will reflect by time savings and automation of day-to-day business tasks.
On demand
  1. Data Engineering

Informatica PowerCenter: Developer Level 1

This course is applicable to software version 10. Explore Informatica PowerCenter 10 which is comprised of server and client workbench tools used to create, execute, monitor and schedule ETL processes. Work through the PowerCenter Designer, Workflow Manager, and Workflow Monitor tools.
On demand
  1. Big Data

Big Data training

Our Big Data training is designed for everyone who would like to learn and test big data concepts and technologies and gain deeper practical knowledge. Since the training include practical exercises and we want to keep a high level of knowledge transfer, the number of participants is limited to 10.
On demand
  1. Data Engineering

SQL queries for advanced users

During two days of training, the student will learn how to write more complex SQL queries and use them to work with the data. Students will learn what are ranks, subqueries, temporary tables, how to write dynamic SQL and work with stored procedures and functions.
On demand
  1. Data Science

Data Science and Predictive Analytics

Education includes a practical part of a variety of predictive analytics practice examples within KNIME Analytics. KNIME Analytics is a tool for the entire data science process (preparation, analysis and presentation of data) and has been the leader in the Gartner Magic Quadrant in the field of machine learning and data science for the past two years.
On demand
  1. Analytics

IBM Analytics Courses

As an IBM Partner, Poslovna inteligencija provides business analytics education services for business reporting, planning, data mining, and data integration. With the support of Compedu, Poslovna inteligencija offers educational materials, a virtual environment with the support of certified consultants .
On demand
  1. Methodologies

Implementing data warehouse methodology

This course is designed to answer to all main questions in dimensional modeling. Dimensional database is designed and tuned to support the analysis of business trends and projections. It is optimized for data retrieval and analysis and it’s used in data warehouse design.
On demand
  1. Methodologies

Business Intelligence implementation methodology

This course is designed to give you a basic understanding of Business Intelligence and Corporate Performance Management terms, concepts, components and methodologies. It describes what is data warehouse (database), data warehousing (process), business intelligence and corporate performance management.
On demand
  1. Data Engineering

Data preparation in Tableau Prep

High-quality data analysis and visualization requires structured data. Data preparation tasks require 80% of time in data analytics process. The skills of preparing and integrating are necessary because in the modern business.

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