Static and Interactive Data Visualizations in Python

Static and Interactive Data Visualizations in Python, available at $59.99, has an average rating of 4.55, with 39 lectures, based on 38 reviews, and has 616 subscribers.

You will learn about Install and Get Started With the Python Data Science Environment- Jupyter/iPython Read In Data Into The Jupyter/iPython Environment From Different Sources Learn to IDENTIFY Which Visualisations Should be Used in ANY given Situation Go From A Basic Level To Performing Some Of The MOST COMMON Data Visualization Tasks In Jupyter How To Use Some Of The MOST IMPORTANT Data Wrangling & Visualisation Packages Such As Matplotlib Build POWERFUL Visualisations and Graphs from REAL DATA Apply Data Visualization Concepts For PRACTICAL Data Analysis & Interpretation Gain PROFICIENCY In Data Visualisation In Jupyter By Putting Your Soon-To-Be-Acquired Knowledge Into IMMEDIATE Application Build Geographic and Interactive Visualizations This course is ideal for individuals who are Students Interested In Getting Started With Data Science Applications In The Jupyter Environment or Students Interested in Gaining Exposure to Common Python Packages Such As pandas or Those Interested in Learning About Different Kinds of Data Visualisations or Those Interested in Learning to Create Publication Quality Visualisations or Those Interested in Learning to Create Interactive Visualisations It is particularly useful for Students Interested In Getting Started With Data Science Applications In The Jupyter Environment or Students Interested in Gaining Exposure to Common Python Packages Such As pandas or Those Interested in Learning About Different Kinds of Data Visualisations or Those Interested in Learning to Create Publication Quality Visualisations or Those Interested in Learning to Create Interactive Visualisations.

Enroll now: Static and Interactive Data Visualizations in Python

Summary

Title: Static and Interactive Data Visualizations in Python

Price: $59.99

Average Rating: 4.55

Number of Lectures: 39

Number of Published Lectures: 39

Number of Curriculum Items: 39

Number of Published Curriculum Objects: 39

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

Install and Get Started With the Python Data Science Environment- Jupyter/iPython
Read In Data Into The Jupyter/iPython Environment From Different Sources
Learn to IDENTIFY Which Visualisations Should be Used in ANY given Situation
Go From A Basic Level To Performing Some Of The MOST COMMON Data Visualization Tasks In Jupyter
How To Use Some Of The MOST IMPORTANT Data Wrangling & Visualisation Packages Such As Matplotlib
Build POWERFUL Visualisations and Graphs from REAL DATA
Apply Data Visualization Concepts For PRACTICAL Data Analysis & Interpretation
Gain PROFICIENCY In Data Visualisation In Jupyter By Putting Your Soon-To-Be-Acquired Knowledge Into IMMEDIATE Application
Build Geographic and Interactive Visualizations

Who Should Attend

Students Interested In Getting Started With Data Science Applications In The Jupyter Environment
Students Interested in Gaining Exposure to Common Python Packages Such As pandas
Those Interested in Learning About Different Kinds of Data Visualisations
Those Interested in Learning to Create Publication Quality Visualisations
Those Interested in Learning to Create Interactive Visualisations

Target Audiences

Students Interested In Getting Started With Data Science Applications In The Jupyter Environment
Students Interested in Gaining Exposure to Common Python Packages Such As pandas
Those Interested in Learning About Different Kinds of Data Visualisations
Those Interested in Learning to Create Publication Quality Visualisations
Those Interested in Learning to Create Interactive Visualisations

Hello, My name is Minerva Singh and I am an Oxford University MPhil (Geography and Environment), graduate. I recently finished a PhD at Cambridge University (Tropical Ecology and Conservation).

I have several years of experience in analyzing real-life data from different sources using statistical modelling and producing publications for international peer-reviewed journals. If you find statistics books & manuals too vague, expensive & not practical, then you’re going to love this course!

I created this course to take you by hand and teach you all the concepts, and tackle the most fundamental building block on practical data science- data wrangling and visualisation.

GET ACCESS TO A COURSE THAT IS JAM PACKED WITH TONS OF APPLICABLE INFORMATION!

This course is your sure-fire way of acquiring the knowledge and statistical data analysis wrangling and visualisation skills that I acquired from the rigorous training I received at 2 of the best universities in the world, the perusal of numerous books and publishing statistically rich papers in a renowned international journal like PLOS One.

To be more specific, here’s what the course will do for you:

(a) It will take you (even if you have no prior statistical modelling/analysis background) from a basic level to creating impressive visualisations

(b) It will equip you to use some of the most important Python visualisation packages such as seaborn.

(c) It will introduce some of the most important data visualisation concepts to you in a practical manner such that you can apply these concepts for practical data analysis and interpretation.

(d) You will also be able to decide which visualisation techniques are best suited to answer your research questions and applicable to your data and interpret the results.

The course will mostly focus on helping you implement different techniques on real-life data such as Olympic and Nobel Prize winners

After each video, you will learn a new concept or technique which you may apply to your own projects immediately! Reinforce your knowledge through practical quizzes and assignments.

TAKE ACTION NOW 🙂You’ll also have my continuous support when you take this course just to make sure you’re successful with it. If my GUARANTEE is not enough for you, you can ask for a refund within 30 days of your purchase in case you’re not completely satisfied with the course.

TAKE ACTION TODAY! I will personally support you and ensure your experience with this course is a success.

Course Curriculum

Chapter 1: Introduction To Python Data Visualisation

Lecture 1: Introduction to Data Visualisation

Lecture 2: Data and Code

Lecture 3: Get Started With the Python Data Science Environment: Anaconda

Lecture 4: Anaconda for Mac Users

Lecture 5: The iPython Environment

Chapter 2: Read in Data From Different Sources With Pandas

Lecture 1: What are Pandas?

Lecture 2: Read CSV Data

Lecture 3: Read Excel Data

Lecture 4: Read in HTML Data

Lecture 5: Basic Data Exploration With Pandas

Lecture 6: Basic Data Handling With Conditional Statements

Lecture 7: Drop Column/Row

Lecture 8: Merging and Joining Data

Chapter 3: Theory Behind Data Visualisation

Lecture 1: What is Data Visualisation?

Lecture 2: Some Theoretical Principles Behind Data Visualisation

Chapter 4: Basic Data Visualizations

Lecture 1: Histograms-Visualize the Distribution of Continuous Numerical Variables

Lecture 2: Boxplots-Visualize the Distribution of Continuous Numerical Variables

Lecture 3: Scatter plot-Relationship Between Two Numerical Variables

Lecture 4: Barplot

Lecture 5: Pie Chart

Lecture 6: Line Charts

Lecture 7: More Line Charts

Lecture 8: Some More Plot Types

Lecture 9: And Some More

Chapter 5: Use ggplot2 For Visualizations

Lecture 1: The Rationale Behind the Grammar of Graphics

Lecture 2: Getting Started-Part 1

Lecture 3: Getting Started-Part 2

Chapter 6: Visualizing Geographic Data

Lecture 1: Basic Spatial Concepts

Lecture 2: Visualize Shapefiles With Python

Lecture 3: More Shapefile Visualizations with Geopandas

Lecture 4: Some In-Built GIS Datasets

Lecture 5: Introduction to Choropleth Mapping

Lecture 6: Choropleth Mapping-Part 2

Chapter 7: Interactive Visualizations- Brief Introduction

Lecture 1: What Are Interactive Visualizations?

Lecture 2: An Express Introduction to Plotly Express

Lecture 3: More Express Plotting

Lecture 4: Express Animations

Lecture 5: Geographic Visualizations

Lecture 6: Posit On POSIT

Instructors

Minerva Singh
Bestselling Instructor & Data Scientist(Cambridge Uni)

Rating Distribution

1 stars: 0 votes
2 stars: 1 votes
3 stars: 3 votes
4 stars: 5 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!

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