Visualization for Data Science using Python.
Pandas, Matplotlib, Seaborn. Analyze Dozens of Datasets & Create Insightful Visualizations
Visualization for Data Science using Python. free download
Pandas, Matplotlib, Seaborn. Analyze Dozens of Datasets & Create Insightful Visualizations
VISUALIZATION FOR DATA SCIENCE USING PYTHON IS SET UP TO MAKE LEARNING FUN AND EASY
This 60+ lesson course includes 15 hours of high-quality video and text explanations of everything under Statistics and Visualization. Topic is organized into the following sections:
Data Type - Random variable, discrete, continuous, categorical, numerical, nominal, ordinal, qualitative and quantitative data types.
Visualizing data, including bar graphs, pie charts, histograms, and box plots
Analyzing data, including mean, median, and mode, IQR and box-and-whisker plots
Data distributions, including standard deviation, variance, coefficient of variation, Covariance and Normal distributions and z-scores
Chi Square distribution and Goodness of Fit
Scatter plots - One, Two and Three dimensional
Pair plots
Box plots
Violin plots
End to end Exploratory Data Analysis of Iris dataset
End to end Exploratory Data Analysis of Haberman dataset
Principle Component Analysis and MNIST dataset.
AND HERE'S WHAT YOU GET INSIDE OF EVERY SECTION:
We will start with basics and understand the intuition behind each topic
Video lecture explaining the concept with many real life examples so that the concept is drilled in
Walkthrough of worked out examples to see different ways of asking question and solving them
Logically connected concepts which slowly builds up
Enroll today ! Can't wait to see you guys on the other side and go through this carefully crafted course which will be fun and easy.
YOU'LL ALSO GET:
Lifetime access to the course
Friendly support in the Q&A section
Udemy Certificate of Completion available for download
30-day money back guarantee
