2025 Data Visualization in Python Masterclass for Beginners
Visualisation in matplotlib, Seaborn, Plotly & Cufflinks, EDA on Boston Housing, Titanic, IPL, FIFA, Covid-19 Data.
4.22 (897 reviews)
36 930
students
22 hours
content
May 2025
last update
$74.99
regular price
What you will 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
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Our Verdict
Up-to-date content makes this Data Visualization in Python Masterclass ideal for learners wanting extensive skills. Though some areas could benefit from more clarity, the engaging projects and real-world examples outweigh minor shortcomings. Expand your EDA and visualization competence while preparing to excel in data science roles focused on Python.
What We Liked
- Comprehensive coverage of data visualization techniques using matplotlib, Seaborn, Plotly & Cufflinks
- In-depth exploration of real-world datasets, including Covid-19, Boston Housing, Titanic, IPL, and FIFA
- Hands-on projects and step-by-step instructions for data manipulation using Numpy, Pandas, and text data EDA
Potential Drawbacks
- Occasionally vague explanations of concepts with room for improved structure and predictability
- Advanced Python knowledge is beneficial, making the course less suitable for absolute beginners
- Sporadic errors in provided code snippets can be time-consuming to resolve
2994078
udemy ID
12/04/2020
course created date
17/06/2020
course indexed date
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