Data Analysis and Visualization with Python for beginners

Data Analysis and Visualization with Python for beginners, available at $44.99, has an average rating of 4.2, with 19 lectures, based on 60 reviews, and has 8027 subscribers.

You will learn about Data Analysis Data Visualization Quantitative Visualization Qualitative Visualization Tabular Data Jupyter Notebook Server Setup Creating Jupyter Notebooks Exploring Pandas DataFrame Manipulating Pandas DataFrame This course is ideal for individuals who are Beginners to Data Analysis an Visualization with Python It is particularly useful for Beginners to Data Analysis an Visualization with Python.

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Summary

Title: Data Analysis and Visualization with Python for beginners

Price: $44.99

Average Rating: 4.2

Number of Lectures: 19

Number of Published Lectures: 19

Number of Curriculum Items: 19

Number of Published Curriculum Objects: 19

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Data Analysis

Data Visualization

Quantitative Visualization

Qualitative Visualization

Tabular Data

Jupyter Notebook Server Setup

Creating Jupyter Notebooks

Exploring Pandas DataFrame

Manipulating Pandas DataFrame

Who Should Attend

Beginners to Data Analysis an Visualization with Python

Target Audiences

Beginners to Data Analysis an Visualization with Python

Data is everywhere. That means more companies are tracking,

analysing, and using the insights they find to make better decisions.

Python is a popular programming language.

It is used for:

web development (server-side),

software development,

mathematics,

Data Analysis

Data Visualization

System scripting.

What can Python do?

Python can be used on a server to create web applications.

Python can be used alongside software to create workflows.

Python can connect to database systems. It can also read and modify files.

Python can be used to handle big data and perform complex mathematics.

Python can be used for rapid prototyping, or for production-ready software development.

Python can be used for data analysis and visualization.

Data analysisis the process of  analysing, interpreting, data to discover valuable insights that drive smarter and more effective business decisions.

Data analysis tools are used to extract useful information from business and other types of  data, and help make the data analysis process easier.

Data visualisationis the graphical representation of information and data.

By using visual elements like charts, graphs and maps, data visualisation tools

provide an accessible way to see and understand trends, outliers and patterns in data.

The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. Uses include: data cleaning and transformation, numerical simulation, statistical modelling, data visualization, machine learning, and much more.

Course Curriculum

Chapter 1: Environment Setup

Lecture 1: Introduction

Lecture 2: What is Python

Lecture 3: What is Jupyter Notebook

Lecture 4: Installing Jupyter Notebook Server

Lecture 5: Running Jupyter Notebook Server

Lecture 6: Common Jupyter Notebook Commands

Lecture 7: Jupyter Notebook Components

Lecture 8: Jupyter Notebook Dashboard

Lecture 9: Jupyter Notebook User Interface

Lecture 10: Creating a new Notebook

Chapter 2: Data Analysis and Visualization

Lecture 1: Overview of data analysis and visualization with Python

Lecture 2: Kaggle Data Sets

Lecture 3: Tabular Data

Lecture 4: Exploring Pandas DataFrame

Lecture 5: Analyzing and Manipulating Pandas Data Frame

Lecture 6: Data Visualization

Lecture 7: Visualizing Qualitative Data

Lecture 8: Visualizing Quantitative Data

Lecture 9: Thank You

Instructors

Bluelime Learning Solutions
Making Learning Simple

Rating Distribution

1 stars: 0 votes

2 stars: 0 votes

3 stars: 11 votes

4 stars: 20 votes

5 stars: 29 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!