Data Visualization with Python and Power BI
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 681 MB | Duration: 1h 21m
Python is one of the most popular and advanced programming language used in various domains such as machine learning and data science. Python helps you reduce the lines of code into as short as possible while keeping it in a readable format so that anyone can easily understand the implication of python code. In this course you will learn about some of the libraries in python and some methods used to create data visualization charts and data science projects. Here, you will learn about creating data visualization charts using python and Power BI business intelligence software. Power BI is an advanced software used for wide range of application areas such as Data Science, Machine Learning, Enterprise Resource Planning, Data Analysis and much more. And it makes the process of data cleaning, modelling and visualization very interactive and easy.
Although we could create various kinds of charts in Power Bi even without writing a single line of code. But there are various complex problems in data science that can be solved with the help of python libraries such as matplotlib and seaborn. Here in this course you will learn to create some of the advanced charts in power bi by writing python programs to create data visualizations for driving insights and finding outliers that may not be done by using default charts, one such example could be Violin chart. By creating a Violin chart you could easily spot the distribution range or concentration of values based on a certain category. This chart would make it intuitive to spot any segregation of values, and uniformity of distribution. It would be very difficult to represent such insights using any other default charts. Moreover, you would be learning many of such advanced custom charts in power bi that can be created by writing python codes.
The skills you learn in this course can be used in various domains related to data science and data analytics to business intelligence and machine learning.
In this course, you will be learning following concepts and visualization charts using python libraries such as pandas, matplotlib and seaborn-
