Visualization for Data Science using Python

Pandas, Matplotlib, Seaborn. Analyze Dozens of Datasets & Create Insightful Visualizations

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Aug 4, 2023 - 00:12 Updated: Jul 12, 2023 - 02:40
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Visualization for Data Science using Python
Visualization for Data Science using Python

Visualization for Data Science using Python udemy course

Pandas, Matplotlib, Seaborn. Analyze Dozens of Datasets & Create Insightful Visualizations

What you'll learn:

Visualization: Machine Learning in Python

  • Master Visualization and Dimensionality Reduction in Python
  • Become an advanced, confident, and modern data scientist from scratch
  • Become job-ready by understanding how Dimensionality Reduction behind the scenes
  • Apply robust Machine Learning techniques for Dimensionality Reduction
  • Master Machine Learning Tools such as PCA, LLE, TSNE, Multidimensional Scaling, ISOMAP, Fisher Discriminant Analysis, etc.
  • How to think and work like a data scientist: problem-solving, researching, workflows
  • Get fast and friendly support in the Q&A area…….
  • Practice your skills with 10+ challenges and assignments (solutions included)

Requirements:

  • No data science experience is necessary to take this course.
  • Any computer and OS will work — Windows, macOS, or Linux. We will set up your code environment in the course.

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:

Course Details:

  • 15.5 hours on-demand video
  • Access on mobile and TV
  • Full lifetime access
  • Certificate of completion

Visualization for Data Science using Python udemy free download

Pandas, Matplotlib, Seaborn. Analyze Dozens of Datasets & Create Insightful Visualizations

Demo Link: https://www.udemy.com/course/visualization-for-data-science-using-python/

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