WHY TAKE THIS COURSE?

In the age of Artificial Intelligence, understanding, interpreting, and analyzing data has become one of the most critical competencies. Since you have learned the most required and sought-after programming language in the business world, Python, now you should take the next step to the Data Science world and learn how to interpret data for even non-technical people via visualizing the data. 

Since data is the prerequisite of all AI projects, you will learn how to create reports that explain themselves and interpret the big data via visualization and the most fundamental and popular visualization techniques in the real world with Python.

To visualize data, this data must be cleaned and well prepared to gain correct interpretation. To achieve that, data must be preprocessed according to the Garbage In Garbage Out principle. Therefore, we can say that the primary ability to read data with millions of rows is in data visualization. 

Once this course ends, you will have an end-to-end visualization project which allows you to create a report to show your work to other people.

In this great course for you:

• What data is and how it is processed
• Various types of data visualization and what data visualization techniques can be applied to which data types
• Errors made while visualizing data
• How to explain the visualized data statistically
• We will show you how to code an end-to-end data visualization project and reporting

HUB

You are invited to join our Data Visualization Hub and use this space to discuss topics related to the course, share interesting and relevant material and links, ask questions and engage with peers.

ALL OUR PROGRAMS INCLUDE

• Additional access to active mentoring by experts of the Global AI Hub 
• A joint certificate issued by Global AI Hub for each successful learner  
• The certificate you will earn in this training is valid for privileged membership applications under the CoreRelation Program