Data Visualization with Python and Power BI
What you'll learn
- You will learn to create various visualization charts in Power BI
- You will also learn to create advanced charts by writing python code using seaborn and matplotlib
- You will learn to create Line chart, Scatterplot, and Violin chart
- You will also learn to create Strip plot, box plot and Lmplot chart
- Before taking this course you must have power bi and python installed on you computer.
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-
Installing python packages and defining path
Creating a Line chart with matplotlib
Putting labels and creating dashed scatterplot
Violin chart with seaborn
More on Violin chart
Lmplot or align plot
Moreover, you will also learn to create other visualization charts in power bi and other concepts such as creating slicer filters and map chart-
Table and Matrix
Drill Down Table and Matrix
Donut Ring chart
Simple Map and modes
Slicers- Date Slicer
Who this course is for:
- Anyone who is curious to learn Data Science and Data Visualization
- Students, Developers and professionals interested in learning Power BI and python
- Interested to create custom charts using matplotlib and seaborn in python
I am Self-Taught developer who had worked on various platforms using varied languages, and involved in various Projects both Open Source and Proprietary.
I have developed Web and Android Applications, chrome Extension, worked on various frameworks, fixed bugs for some projects, and explored numerous others. I think education and learning should be free and open, not be bound with restrictions like attending classes or going to college, People from all age groups, gender, faith, race, nations, etc must get equal privilege. When entire world would act this way like being a single FAMILY, we would truly realize VALUE of Knowledge and Human Life.
Currently I am teaching more than 126,000 students from 174 countries across the world.