Data Science on Sustainable Development Goals (SDGs)
Data Science on Sustainable Development Goals (SDGs), available at Free, has an average rating of 4.2, with 13 lectures, based on 144 reviews, and has 5910 subscribers.
You will learn about Understand the Sustainable Development Goals (SDG) Get a quick start for visualising SDGs in Python Perform initial data science practice on combined SDG data sets Get inspired for your next step and contribution towards sustainability! This course is ideal for individuals who are Data analytics performer interested in SDG and its data sets or People interested in analyzing sustainability data sets or People interested in contributing in the big SDG goals It is particularly useful for Data analytics performer interested in SDG and its data sets or People interested in analyzing sustainability data sets or People interested in contributing in the big SDG goals.
Enroll now: Data Science on Sustainable Development Goals (SDGs)
Summary
Title: Data Science on Sustainable Development Goals (SDGs)
Price: Free
Average Rating: 4.2
Number of Lectures: 13
Number of Published Lectures: 13
Number of Curriculum Items: 13
Number of Published Curriculum Objects: 13
Original Price: Free
Quality Status: approved
Status: Live
What You Will Learn
- Understand the Sustainable Development Goals (SDG)
- Get a quick start for visualising SDGs in Python
- Perform initial data science practice on combined SDG data sets
- Get inspired for your next step and contribution towards sustainability!
Who Should Attend
- Data analytics performer interested in SDG and its data sets
- People interested in analyzing sustainability data sets
- People interested in contributing in the big SDG goals
Target Audiences
- Data analytics performer interested in SDG and its data sets
- People interested in analyzing sustainability data sets
- People interested in contributing in the big SDG goals
The Sustainable Development Goals (SDGs) are 17 global goals designed to be a “blueprint for achieving a better and more sustainable future for all”. The goals to be achieved by 2030 are an urgent call for action by all countries – and us all.
The course highlights the sustainable development goals (SDGs) and analyzes the SDG indicators that track the current global status.
Did you know that there exist 17 goals backed up and monitored by over 230 indicators? Each indicator measures the progress of all countries, sometimes over decades—a lot of data points to analyze. Let’s start!
The lecture balances basic principles for everyone and crisp data science sections analyzing SDG indicators based on Python.
The course is divided into 5 sections:
-
General introduction to the SDGs and their data sets to trace the status.
-
Data Science overview and explaining the CRISP-DM methodology.
-
Data Science visualization practices on time series, world maps, and tree view examples.
-
Data Science practice on combining various SDG indicators and doing a cross-analysis.
-
Additional information for your next step and possible contribution.
The course’s overall objective is to give you a quick start in data science practice and inspire you to contribute towards our joint SDG goals.
Course Curriculum
Chapter 1: Objective Lecture and SDGs
Lecture 1: Lecture Objective
Lecture 2: Overview SDG goals
Lecture 3: SDG goals and indicators data sets
Chapter 2: Data Science Overview
Lecture 1: Introduction Data Science
Lecture 2: Data Science Method CRISP-DM
Lecture 3: Data Science Python Environment
Chapter 3: Visualizations on SDG Indicator data
Lecture 1: Time Series Visualization
Lecture 2: World Map Visualization
Lecture 3: Tree View Visualisation of SDG Goals
Chapter 4: Data Analytics on SDG indicators
Lecture 1: Multiple SDGs Data Preparation
Lecture 2: Multiple SDGs Handling Missing Data
Lecture 3: Multiple SDGs Analytics
Chapter 5: Whats Next – How can I contribute
Lecture 1: Whats Next – How can I contribute
Instructors
-
Frank Kienle
Head of Data Science, Digital Strategy Manager
Rating Distribution
- 1 stars: 4 votes
- 2 stars: 4 votes
- 3 stars: 14 votes
- 4 stars: 46 votes
- 5 stars: 76 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!
You may also like
- Top 10 Video Editing Courses to Learn in November 2024
- Top 10 Music Production Courses to Learn in November 2024
- Top 10 Animation Courses to Learn in November 2024
- Top 10 Digital Illustration Courses to Learn in November 2024
- Top 10 Renewable Energy Courses to Learn in November 2024
- Top 10 Sustainable Living Courses to Learn in November 2024
- Top 10 Ethical AI Courses to Learn in November 2024
- Top 10 Cybersecurity Fundamentals Courses to Learn in November 2024
- Top 10 Smart Home Technology Courses to Learn in November 2024
- Top 10 Holistic Health Courses to Learn in November 2024
- Top 10 Nutrition And Diet Planning Courses to Learn in November 2024
- Top 10 Yoga Instruction Courses to Learn in November 2024
- Top 10 Stress Management Courses to Learn in November 2024
- Top 10 Mindfulness Meditation Courses to Learn in November 2024
- Top 10 Life Coaching Courses to Learn in November 2024
- Top 10 Career Development Courses to Learn in November 2024
- Top 10 Relationship Building Courses to Learn in November 2024
- Top 10 Parenting Skills Courses to Learn in November 2024
- Top 10 Home Improvement Courses to Learn in November 2024
- Top 10 Gardening Courses to Learn in November 2024