
Data Analysis and Visualization using Python. It answers a few questions as to why one should take this course, what one will gain from this course.
The Lecture includes an introduction to all the sections that will be covered in this course.
How to get started with Anaconda distribution. Know details about what is Anaconda and how to download it for different operating systems.
Learn how to install Anaconda and view it in by opening it once it gets installed. Locate the Anaconda command prompt for opening Jupyter Notebook.
The Happiness Report Excel sheet used for explaining the Lecture
Learn what is Pandas in Python and about the project in this Lecture.
Learn how to load the libraries and create your own data set.
Learn how to export the data in Python using Pandas
Learn different plots of Matplotlib Library in Python
Quick recap of the entire project.
Pivot tables in Pandas a basic introduction
Learn what are cross tables and how to make Cross Tables in Pandas.
At the end of the Lecture, you can find the downloadable resources for practice and look up.
Learn how to work with a JSON (JavaScript Object Notation) file
Learn how to work with Hypertext Markup Language (HTML) files
Solution to drop the missing values from the data frame. When dropna() method is not working.
With this course, the Learner will gain sufficient experience and practical knowledge of how to work with data, explore the data, clean the data, analyze the data, visualize and interpret the results of the data. One can plot beautiful and interactive plots with Plotly and use it to get an edge in the projects.
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, along with most frequently asked interview questions.
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.