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Data Visualization in Python Masterclass™: Beginners to Pro - Visualisation in matplotlib, Seaborn, Plotly & Cufflinks, EDA on Boston Housing, Titanic, IPL, FIFA, Covid-19 Data.
Sure! Here’s a brief article about Data Visualization in Python Masterclass™: Beginners to Pro course on Udemy 12. The course is designed for beginners python programmers, beginners data science programmers, students of data science and machine learning, anyone interested in learning more about python, data science, or data visualizations and developers who want to work in analytics and visualization project 1. The course has over 200+ Full HD video lectures and detailed code notebooks for every lecture making it one of the most comprehensive courses on Complete Data Visualization in Python 2.
What you'll learn
- Learn Complete Exploratory Data Analysis on the Latest Covid-19 Dataset
- Learn EDA on Kaggle's Boston Housing and Titanic Datasets
- Learn IPL Cricket Matches and FIFA World Cup Matches Analysis and Visualization
- Learn Data Visualization by Plotly and Cufflinks, Seaborn, matplotlib, and Pandas
- Learn Interactive plots and visualization
- Installation of python and related libraries.
- Covid-19 Data Visualization
- Covid-19 Dataset Analysis and Visualization in Python
- Data Science Visualization with Covid-19
- Use the Numpy and Pandas in data manipulation
- Learn Complete Text Data EDA
- Create a variety of charts, Bar Charts, Line Charts, Stacked Charts, Pie Charts, Histograms, KDE plots, Violinplots, Boxplots, Auto Correlation plots
- Learn Data Analysis by Pandas.
- Use the Pandas module with Python to create and structure data.
- Customize graphs, modifying colors, lines, fonts, and more
- Basic concepts of data visualization and its importance in data analysis
- How to use Python libraries such as Matplotlib, Seaborn, and Plotly to create various types of charts and plots
Frequently Bought Together
Learn how to analyze and visualize data by using Python libraries such as Plotly, Seaborn, Matplotlib, Pandas, and NumPy
Let's start coding and developing in Python from scratch to building cool projects!
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