Spreadsheets and large tables can be complex, difficult to decipher and present obstacles to extract valuable information analyzed from the data of an organisation. However, the application of best data visualization practices will enable you to solve problems, identify how to use visuals in presentations and reports and make decisions.

power bi training. business analytics.

Duration:

16 h

aim of this course:

This course will introduce you to Power BI, and the various fundamental concepts of Power BI.

Course Topics:

  1. Power BI Basics.
  2. Data Import and Power Query Procedures

  3. Data processing in Power BI

  4. Creating visual reports and dashboard.

  5. Working with cards.

  6. DAX Syntax and Power BI Advanced Function

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QLIK SENsE TRAINING. business analytics.

Duration:

16 h

Aim of this course:

This course will enhance your ability to design and share visualizations, create data models and administer Qlik Sense.

Course Topics:

  1. Qlik Sense from A to Z
  2. Data Import
  3. Integration of SQL
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r training course

Duration:

16 h

Who takes this course:

With over 2 million users worldwide R is rapidly becoming the leading programming language in statistics and data science. This course is suitable for both beginners and professionals as the curriculum is adjusted based on experience of participants.

Course Topics:

  1. Basic R programming
  2. R Studio
  3. R for Data Science (data tidyverse, emphasis on the dplyr and ggplot2)

r web app deployment

Duration:

16 h

Who takes this course:

R language is becoming increasingly popular among data scientists to build simple web application along simple integration with RShiny, R web applications. The course is suitable for participants with basic knowledge of R language.

Course Topics:

  1. Introduction in R back-end environment
  2. Building web-based applications in R back-end
  3. R Studio Shiny application deployment

PYTHON web app deployment

Duration:

8 h

Who takes this course:

Python is the most popular PHP framework used by millions of developers worldwide. It is high level programming language used for general purpose programming and can be a great starting point for beginner level specialists as well as seasoned professionals. The course curriculum is adjusted based on experience of participants.

Course Topics:

  1. Introduction in Python
  2. Python language basics
  3. Building applications in Python language in Flask environment
  4. Building applications in Python language in Django environment