Visualization for Data Science using Python

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 30+ lesson course includes 8 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.