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!