Data Science Prerequisites - Numpy - Pandas- Seaborn

Data Science Prerequisites – Numpy – Pandas- Seaborn

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What you’ll learn:
  • Data analysis using python
  • Data Visualization in Python
  • Basics of Numpy, Arrays, Lists.
  • Importing and creating data frame in python
  • Data cleaning
  • Numpy, Pandas, Seaborn
  • Distribution Plot, Histograms, KDE Plots, Scatter Plot, Rug Plot, Joint Plot, Pair Plot, Bar Plot, Count Plot, Box Plot, Violin Plot, Strip Plot, Swarm Plot
  • Heat Map, Pair Plot, Sub Plot
Description:

Welcome! This is Data Science Prerequisites – Numpy – Pandas- Seaborn course.

The best Pandas, Numpy and  Seaborn course available on Udemy! An excellent choice for both beginners and experts looking to expand their knowledge on one of the most popular Python libraries in the world!

Pandas for Data Analysis in Python offers  in-depth video tutorials on the most powerful data analysis toolkit

Why learn pandas?

If you’ve spent time in a spreadsheet software like MS Excel or Google Sheets and want to take your data analysis skills to the next level, this course is for you!

Pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with “relational” or “labeled” data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real-world data analysis in Python.

Pandas is the most powerful and flexible open source data analysis/manipulation tool available in any language.

Pandas is well suited for many different kinds of data:

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  • Programmers / Researchers / Designers that want to learn how to produce top-quality plots
  • Anyone who has to present data at some point!
  • Data Scientists
  • Academic scientists having to publish in scientific journals
  • Journalists / Data Journalists
  • Communication experts
  • Also the general public: you should know how graphs work because they’re everywhere!

WHAT YOU WILL LEARN

  • Describe what makes a good or bad visualization
  • Understand best practices for creating basic charts
  • Identify the functions that are best for particular problems
  • Create a visualization seaborn
  • Distribution Plot
  • Histograms
  • KDE Plots
  • Scatter Plot
  • Rug Plot
  • Joint Plot
  • Pair Plot
  • Bar Plot
  • Count Plot
  • Box Plot
  • Violin Plot
  • Strip Plot
  • Swarm Plot
  • Heat Map
  • Pair Plot
  • Sub Plot

SKILLS YOU WILL GAIN

  • Python Programming
  • Data Virtualization
  • Data Visualization (DataViz)
  • seaborn

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Who this course is for:
  • Data Scientists, Data Analysts.
  • Students and professionals who wants to do data analysis using python.
  • Students and professionals who have tried machine learning and data science but are having trouble putting the ideas down in code
  • Python developer who wants to do analysis of tabular data.
  • Who wants to start their data visualization journey
  • Who Is curious about how to build effective and impactful graphs
  • Who Is looking to break into the business intelligence, analytics or data visualization field
  • Anyone who want to express thoughts, findings, insights from any kind of data using data Visualization.

Enroll Now -:

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