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Introduction to Data Literacy
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Explore the Basics of Data Literacy
Data is all around us, which makes data literacy an essential life skill. It is a skill that empowers you to ask the right questions about data and choose the right tools to read, interpret and communicate data. This non-technical course will equip you with the necessary knowledge and skill to feel confident around data and understand how data can be used to gain actionable insights and drive change.Through hands-on exercises, you’ll learn how to get from data to insights, how data drives decision-making, how to collect and manage data, the four types of analytics and how to use storytelling and visualization to improve your data communication, and more.
You’ll start with the basics, understanding why data literacy is important and why you should take steps to become data literate. You’ll also learn how to use data to your advantage, from gaining insights to making decisions.
Get a Deeper Understanding of Data
Next, you’ll discover how to identify data sources, looking at some of the most common types, how to manage them, and what to do when you run into problems with your data.In the second half of this data literacy course, you’ll focus on how you can gain insights by using data analytics. As well as exploring the different types of analysis and when to perform them, you’ll also learn about presenting your findings with impact using data visualizations and storytelling.
By the time you’re finished, you’ll have a strong understanding of why data literacy is so essential in the modern world, as well as some of the fundamentals of identifying the right types of data for you to use.
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Start Course for FreeWhat you'll learn
- Assess typical data quality issues—including errors, missing values, and bias—and Evaluate appropriate cleaning or mitigation strategies
- Define data literacy and its four core abilities of reading, working with, analyzing, and communicating data
- Differentiate descriptive, diagnostic, predictive, and prescriptive analytics to determine the most suitable method for a given problem
- Identify common data sources, data types, and storage options such as relational databases, document stores, data warehouses, and data lakes
- Recognize effective techniques for communicating insights, including selecting suitable visualizations, applying narrative structure, and focusing messages for stakeholders
Prerequisites
There are no prerequisites for this courseData Literacy Basics
Reading Data
Working with and Analyzing Data
Communicating Insights
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Enroll NowFAQs
What is data literacy?
Data literacy is the ability to read, understand, create, and communicate data as information. It involves understanding how data is generated, how to interpret it, and how to use it effectively to make informed decisions. Data literacy is an essential skill in today’s data-driven world, enabling individuals to critically evaluate data and use it to drive insights and actions.
What's the goal of the course?
The main objective of this course is to equip you with the essential knowledge and skills to work with data confidently. You’ll learn how to ask the right questions, interpret data effectively, and communicate your findings through data visualization and storytelling.
Do I need any prior experience with data or technical skills to take this course?
No prior experience with data or technical skills is required for this course. It is designed for beginners who want to develop a foundational understanding of data literacy. The course focuses on non-technical concepts, making it accessible to anyone interested in learning how to work with data effectively.
How will this course help me in my professional life?
This course will help you develop critical data literacy skills, enabling you to make informed data-based decisions. By understanding how to interpret data and communicate insights effectively, you’ll be better equipped to contribute to data-driven decision-making processes in your workplace, making you a valuable asset in any professional setting.
What types of hands-on exercises can I expect in this course?
The hands-on exercises in this course are designed to reinforce your understanding of the concepts covered. You’ll work on exercises that involve identifying data sources, interpreting data, performing different types of data analysis, and creating visualizations to communicate your findings. These practical activities will help you apply what you’ve learned in real-world scenarios.
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