Beginner Guide to Python Data Analysis Visualization

Beginners Guide to Python Data Analysis & Visualization, available at $19.99, has an average rating of 4.1, with 51 lectures, 2 quizzes, based on 265 reviews, and has 3443 subscribers.

You will learn about Experienced with N-dimensional array, Series, and DataFrame Perform data analysis with Python 3 Be very confident when using Pandas and Numpy Gain extensive knowledge of how pandas works This course is ideal for individuals who are Anyone interested in data science or Anyone interested in learning python, pandas, numpy or Anyone curious about this world, about all the information flowing around us. It is particularly useful for Anyone interested in data science or Anyone interested in learning python, pandas, numpy or Anyone curious about this world, about all the information flowing around us.

Enroll now: Beginners Guide to Python Data Analysis & Visualization

Summary

Title: Beginners Guide to Python Data Analysis & Visualization

Price: $19.99

Average Rating: 4.1

Number of Lectures: 51

Number of Quizzes: 2

Number of Published Lectures: 51

Number of Published Quizzes: 2

Number of Curriculum Items: 53

Number of Published Curriculum Objects: 53

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

Experienced with N-dimensional array, Series, and DataFrame

Perform data analysis with Python 3

Be very confident when using Pandas and Numpy

Gain extensive knowledge of how pandas works

Who Should Attend

Anyone interested in data science

Anyone interested in learning python, pandas, numpy

Anyone curious about this world, about all the information flowing around us.

Target Audiences

Anyone interested in data science

Anyone interested in learning python, pandas, numpy

Anyone curious about this world, about all the information flowing around us.

==> Become a Data scientist!

==>?Make astonishing graphics!

This is the most comprehensive, yet straightforward, course for learning Python data science?on Udemy!Whether you have never touched data science before, need a refresh on Pandas basics, or want to learn about the advanced features of Pandas,?THIS COURSE IS FOR YOU!

If you never touched Python before, there is a Python crush section to get you started in 30 minutes! If you knew Python, use it to brush up your knowledge!

There are a lot of highlight points in?this course. Paricularly, you will learn HOW TO:

Perform Linear?Regression Analysis

Understand Linear Regression Analysis result

Pandas series creation, selection, and other operations.

Import CSV data

Import Excel data

Transform your array

Select part of your data by column, row, or even condition!

Rename your columns

Change your index

Delete columns

Insert columns

Make pie plots, scatter plots, series plots, heat-maps, and histograms!

Numpy arrays

Perform array indexing, slicing, and iterating.

Generate descriptive statistics.

–

In addition to the Udemy 30-day money back gurantee, you have my personal gurantee that you will love what you learn in this course. If you ever have any questions, please don’t hesitate to post it in the course discussion board or?message us directly. We will do our best to get back to you as soon as possible!

Jobs in data analysis, especially financial analysis, are pletiful. And because of the imense extensibility, python is growing to be the most popular data science tool! Pandas is the solely most important library you should know to perform analysis! This course will walk you through the very origin or Pandas and show you step-by-step, how Pandas is designed and used! Being able to use Pandas will give you strong background to dive depper into data analysis faithfully!

Is it too much to spend a few hours to add a critical skill on your resume? So what are you waiting for??Learn?Pandas in a way that will advance your career and increase your knowledge!

What are you waiting for? This course won’t stay at this price forever, click “Take this course” now and embark your amazing journal today!

See you in the course!

Alan Yue

Course Curriculum

Chapter 1: Prepare the environment

Lecture 1: Course introduction

Lecture 2: Install Anaconda

Lecture 3: Prepare the datasets

Lecture 4: Say Hi to Our Playground

Chapter 2: Python Basics

Lecture 1: Python Introduction

Lecture 2: Master variables: number, string, and boolean

Lecture 3: Master Strings

Lecture 4: Master Lists

Lecture 5: Master Dictionaries

Lecture 6: Master Sets

Lecture 7: Indentation

Lecture 8: Loops

Lecture 9: If-Else Condition

Lecture 10: Functions

Chapter 3: Numpy Array

Lecture 1: Import Numpy

Lecture 2: Create Array

Lecture 3: Print Array

Lecture 4: Array Operations

Lecture 5: Indexing, Slicing, and Iterating

Lecture 6: Generate Statistics

Chapter 4: Pandas Series

Lecture 1: Series Creation

Lecture 2: Series Operation

Lecture 3: Indexing

Lecture 4: Masking

Lecture 5: Handouts for Pandas Series

Chapter 5: Pandas Dataframe – Import and Selection

Lecture 1: Import Data (Excel, CSV)

Lecture 2: Export Data (Excel, CSV)

Lecture 3: Array Transformation

Lecture 4: Select by Column

Lecture 5: Select by Row

Lecture 6: Select by Column and Row

Lecture 7: Select by Condition

Lecture 8: Exercise: Dataframe Selection

Lecture 9: Solution: Dataframe Selection

Lecture 10: Handouts for Pandas Dataframe Import and Selection

Chapter 6: Pandas Dataframe – Manipulation

Lecture 1: Backup Data

Lecture 2: Re-name and Re-arrange Columns

Lecture 3: Changing and Restore Index

Lecture 4: Delete Columns/Rows

Lecture 5: Insert Columns/Rows

Lecture 6: Handouts for Pandas dataframe manipulation

Chapter 7: Data Visualization

Lecture 1: Introduction to Visualization

Lecture 2: Series Plot and Bar Plot

Lecture 3: Prettify Plots

Lecture 4: Data Distribution: Histogram and Box Plot

Lecture 5: Data Concentration: Scatter Plot and Heat Map

Lecture 6: Data Composition: Pie Plot and Area Plot

Lecture 7: Handouts for Data Visualization

Lecture 8: Handouts for Numpy

Chapter 8: Regression Analysis

Lecture 1: Linear Regression – Part 1

Lecture 2: Linear Regression – Part 2

Instructors

Alan Y
Data Analytics / BI Reporting

Rake Smith
Udemy Instructor

Rating Distribution

1 stars: 10 votes

2 stars: 12 votes

3 stars: 60 votes

4 stars: 85 votes

5 stars: 97 votes

Frequently Asked Questions

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

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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!