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Data Visualization With Matplotlib, Seaborn, Plotly & Bokeh

 Data Visualization With Matplotlib, Seaborn, Plotly & Bokeh

Udemy Course Data Visualization With Matplotlib, Seaborn, Plotly & Bokeh | NED

From beginners in data science to experienced professionals building complex data visualizations, matplotlib is usually the default visualization Python library data scientists turn to. matplotlib
by Ankit Mistry

What you'll learn
  • Update your resume with data visualisation skill in Python
  • You will learn one of the most in demand skill required for data science career path
  • Create Beautiful visualization with matplotlib and seaborn library
  • Bar chart, lineplot, histogram, distribution plot, kernel density function, regression plot
  • Box and whisker, violin plot, scatter plot
  • Draw interactive chart with ploty and bokeh
  • Learn data analysis library Pandas inbuilt visualisation tool
  • Learn all terminology associated with data visualization in python
  • You are on path to become machine learning engineer
 Description Welcome to the course on Data Visualization with Python.
Data visualization is one of the very much important phase of the data science project while analyzing the data. And if you're already a Python developer and want to learn how to create beautiful chart and a dashboard with different Python library this course is for you. If you are already working in data related industry whether you are Data scientistData analyst or  Machine learning engineer and want to learn about different ways of visualizing your data with Python library you are at right place.


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