Autoplay
Autocomplete
Previous Lesson
Complete and Continue
Data Visualization with Python: The Complete Guide
Introduction to Course
Introduction
Overview of Course
Understanding Concepts of Data Science
Python as a Tool
Crash Course of Python
Sample Scripts with Loops in Python
Object Oriented Programming
Functional Tools
Data Visualization
Understanding Data Visualization
Matplotlib library
Bar Chart
Line Charts
Scatter Plots
A1. Activity for Data Visualization
Linear Algebra
What are Vectors. Various operations of vectors
Vectors
Understanding Matrices
Matrices
A2. Activity for Vectors Implementation
A3. Activity for Matrix Implementation
Statistics
A. Single Set of Data
Single set of data
Concepts of Central Tendencies
Central Tendencies
Dispersion
A4. Activity for implementation of statistics
Probability
Probability Concepts
The Normal Distribution
Central Limit Theorem
A5.Activity for understanding
Data Analysis
Understanding Data Analysis
Exploring One dimensional Data
Exploring Two dimensional data
Exploring many dimensions
Bubble charts representation
Data Munging
A6. Activity for understanding data analysis
Advanced Data Visualization
Visualizing the contecnt of a 2D array
Adding a colormap legend to th figure
Visualizing nonuniform 2D data
Visualizing a 2D scalar Field
Visualizing contour lines
Polar charts
Plotting log charts for research
Export Feature - Data Visualization
Generating a PNG picture
Generating PDF documents
Multiple graph plotting and export
Inserting sub figures
Hypothesis and Gradient Descent
Understanding Hypothesis
Implementation of hypothesis in Python
Gradient Descent
Implementation of Gradient Descent
A7. Activity for illustration of Gradient Descent
A7. Output for Gradient Descent Activity
Data Clustering
Data Clustering concepts
Developing a data cluster model
Illustration of data clustering
A8 Activity for understanding data clusters
Central Limit Theorem
Lesson content locked
If you're already enrolled,
you'll need to login
.
Enroll in Course to Unlock