Visualization for Data Science using Python

Description

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

Who this course is for:

• Anyone wanting to learn foundational visualization for Data Science
• Aspirants for Data Analyst Role