Sustainability Data Scientist

This role is responsible for harnessing data analytics and AI to drive sustainability initiatives, focusing on resource optimisation, environmental impact reduction, and the development of predictive models for various industrial processes

Data Analytics
Expertise in advanced data analytics techniques to extract insights and drive sustainability initiatives.

Foundations: Data, Data, Everywhere

Target Group
Junior (Fresh Employee)

Level
Foundations

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Sustainability Data Scientist Foundations: Data, Data, Everywhere

Organizations of all kinds need data analysts to help them improve their processes, identify opportunities and trends, launch new products, and make thoughtful decisions. In this course, you’ll be introduced to the world of data analytics through hands-on curriculum developed by Google. The material shared covers plenty of key data analytics topics, and it’s designed to give you an overview of what’s to come in the Google Data Analytics Certificate. Current Google data analysts will instruct and provide you with hands-on ways to accomplish common data analyst tasks using the best tools and resources.

Provider
www.coursera.org
Target
  • Individuals seeking to start a career in data analytics
  • Recent graduates and students in STEM fields
  • Professionals looking to transition into data-related roles
  • Career changers interested in data analysis
  • Anyone interested in enhancing their analytical skills
Sector
  • Information technology and data science
  • Business analytics and intelligence
  • Marketing and market research
  • Finance and operations management
Area
  • Education and training in data skills
  • Data analytics fundamentals
  • Data cleaning, analysis, and visualization
  • Tools and technologies for data analysis (e.g., SQL, R, Tableau)
  • Understanding the data life cycle and analysis processes
  • Career development in data analytics roles
Method
Online
Certification
Yes
Duration
Approx. 17 hours
Assessment
No
Cost
Free

Learning Outcomes

  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate from Google
  • Define and explain key concepts involved in data analytics including data, data analysis, and data ecosystems
  • Conduct an analytical thinking self-assessment giving specific examples of the application of analytical thinking
  • Discuss the role of spreadsheets, query languages, and data visualization tools in data analytics
  • Describe the role of a data analyst with specific reference to jobs

Learning Content

  • Module 1: "Introducing Data Analytics and Analytical Thinking"
    • Learn how data analysts use tools and skills to inform decisions
    • Overview of the course and program expectations
  • Module 2: "The Wonderful World of Data"
    • Learn about the data life cycle and data analysis process
    • Introduction to applications guiding data through analysis
  • Module 3: "Set up your data analytics toolbox"
    • Learn concepts to use spreadsheets, query languages, and visualization tools
    • Understand how they work through practical examples
  • Module 4: "Become a fair and impactful data professional"
    • Examine businesses and tasks analysts perform
    • Learn how the Google Data Analytics Certificate meets job requirements


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