Learning Python for Data Analysis and Visualization

Data Analysis, Visualization with Python using Pandas, Matplotlib, Seaborn, Plotly with Real Life Data Set and Projects

Ratings 4.20 / 5.00

Learning Python for Data Analysis and Visualization

What You Will Learn!

Data Analysis and Visualization using Python
Pandas and various operations on Pandas
Create your own Data set and Data Frame in Python
Learn to Handle Files in Python
Work with HTML, JSON, EXCEL, CSV files with easily
Get Started with Data Visualization Projects
Exploratory Data Analysis
Work with Python Plotting Libraries like Matplotlib, Seaborn, Plotly
Learn Plotly interactive plotting library to add aesthetic appeal to your projects
Learn various plots of and draw insights from plots using Matplotlib Library
Learn to plot various plots using Seaborn Library and meaning of each plot
Learn to display plots, graphs, maps, add animation using Plotly
Interested in Data Visualization and want to draw insights from the visualizations

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?

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.