Learning Python for Data Analysis and Visualization
Data Analysis, Visualization with Python using Pandas, Matplotlib, Seaborn, Plotly with Real Life Data Set and Projects
Learning Python for Data Analysis and Visualization udemy course
Data Analysis, Visualization with Python using Pandas, Matplotlib, Seaborn, Plotly with Real Life Data Set and Projects
What you'll learn:
- Have an intermediate skill level of Python programming.
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Use the Jupyter Notebook Environment.
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Use the numpy library to create and manipulate arrays.
- Use the pandas module with Python to create and structure data.
- Learn how to work with various data formats within python, including: JSON,HTML, and MS Excel Worksheets.
- Create data visualizations using matplotlib and the seaborn modules with python.
- Have a portfolio of various data analysis projects.
Requirements:
- Basic math skills.
- Basic to Intermediate Python Skills
- Have a computer (either Mac, Windows, or Linux)
- Desire to learn!
Description:
Data Analysis & Visualization With Python is a course designed for all those who want to learn how to analyze, visualize and dive deep into data.
Why Learn Data Visualization for Data Science? Learning Python for Data Analysis and Visualization Udemy
Data Visualization is a very powerful tool available to showcase our data, findings, and insights.
This course is designed keeping in mind the role of how important Data Visualization is while building a Machine Learning project.
Data Analysis provides strong guidance rather than general guidance.
Data Visualization can speak volumes about the data, it can show the trends, distribution, correlation, spread of the data.
The insights from the data, aids in decision making, improving results and performance
Course Details
The course is for those who want to learn how to visualize the data while working on several Data Science Projects;
Those who want to learn about how to plot in Python using various plotting libraries, and all those who are interested in Data Analysis and Visualization.
The Course is divided into several sections each section has mostly practical exercises, projects, quizzes, and resources to give a complete learning experience.
The Course is designed to take you one step further in Machine Learning and Data Science field.
The projects follow a systematic approach, this will help you to understand the basic concepts and will give you a kick start in your Data Science Career.
The course is crafted with due diligence keeping in mind the need of the learners. Learning is made very easy and simple by following steps like explaining the concepts, applying the concepts in practical lectures followed by quizzes to deepen the understanding of the concepts also to have a quick revision.
Enjoy the Course as I have enjoyed it and it will be completed in no time!
All the Best and Good Luck! See you aboard.
Who this course is for:
- Beginners in field of Data Science, Data Analytics and Data Visualization
- Anyone who wants to Learn Data Analysis and Visualization.
- Graduates who want a Career switch
- Post Graduates who want a Career Switch
- Professionals Clueless on how to enter Data Science
- Those who want to learn to Code less and obtain good results
- Master Java Reactive Programming with RxJava 2
- Alteryx: Data Science for Non-Scientists
- Python Django - The Full Stack Guide
- Adobe Illustrator Advanced Vector Artwork
Course Details:
- 7 hours on-demand video
- 1 article
- 29 downloadable resources
- Full lifetime access
- Access on mobile and TV
- Certificate of completion
Learning Python for Data Analysis and Visualization udemy free download
Data Analysis, Visualization with Python using Pandas, Matplotlib, Seaborn, Plotly with Real Life Data Set and Projects
Demo Link: https://www.udemy.com/course/data-analysis-visualization-with-python/
