Data visualization using Python

Introduction to the concept of data visualization and some of the best practices when creating plots and visuals

Learn how to create Data Visualization using Python.

Data visualization is the process of mapping data into visual elements such as charts, plots, graphs etc. Data Visualization is important for data science and many analytical tasks such as exploratory data analysis and data summarization. Data Visualization helps identify and communicate complex data relationships, trends and patterns in a way that is easy to understand for human brain and to extract useful insights from.

These days data visualization is important for almost every discipline and career. In this course learners will be introduced to the concept of data visualization and some of the best practices when creating plots and visuals. You will be taught to create data visualization using Python. Python is one of the most popular open-source programming language which has very powerful libraries that can be used to read data and create useful visualizations in a very simple and easy way.

During the course you will work with Jupyter Notebook for creating data visualization. You will learn to read the data from CSV files and use Python Libraries such Matplotlib and Seaborn to create meaningful data visualizations as the part of exploratory data analysis process.

About Instructor
Muniba Talha is a lecturer in Business Economics and IT at Copenhagen School of Design and Technology (KEA) where she teaches Data Science, Machine Learning, Data Visualization, and Big Data along with some courses on Project Management, Digital Strategy, and Digitalization. Prior to this position, Muniba worked in Project and Team lead positions delivering robust software products and developing agile teams.

Muniba is passionate about empathetic leadership, community building, diversity, and inclusion. She is the founder of Women in Data Science and Machine Learning, a community open to everyone but particularly supporting, educating, and empowering the women in this field.


Start27. feb 2023 17:00
Slut27. feb 2023 19:00



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