This online self-paced course serves as a data literacy self-assessment that poses a series of questions on individual and organizational data competency. After responding to these questions, participants will receive their proficiency level results, a personalized data persona, and a list of helpful learning resources on the topic of data literacy.
Topics include:
- identifying data roles
- working with data
- assessing your data literacy skills
- developing your data skills
- preparing to start a data assignment
Assessment questions: https://dataliteracy.azurewebsites.net/Data-Literacy-Assessment/
Which department do you work for? *
How long have you worked for the Government of Canada? *
1. Which statement best describes the culture in your organization when working with data? *
2. Which statement best describes your organization's take on data ethics and security? *
3. How would you describe your ability to formulate questions to get meaningful insights from data? *
4. Which data sources / strategies do you use in order to find data? *
5. Which strategies do you use in order to gather data? *
6. How do you assess the quality of your data sources? *
7. Which strategies do you use to clean your data? *
8. How do you analyze your data? *
9. Which strategy do you use to visualize your data? *
10. How do you communicate your data outputs? *
11. Assessing & Interpreting Data Outputs *
3. Proposed Curriculum (for a Novice)
Data awareness
Solving Public Problems with Data—Why Data matters (GovLab) |20 mins
Data Scientist Ben Wellington outlines how practitioners can use data in their everyday work to address social challenges.
The Human Face of Big Data (GCCampus) |56 mins
Big Data, massive gathering and analyzing of data in real time is allowing us to not only address some of humanity biggest challenges but is also helping create a new kind of planetary nervous system. This video captures the promise and peril of this extraordinary knowledge revolution.
EXecuTALK - Navigating Today's Data Revolution: How to Come Out on Top (GCCampus) | 31 mins
Canada's Chief Statistician, Anil Arora, discuss how organizations and leaders can stay current, relevant and flexible in the face of demand for new, data-based information and information technology capabilities.
Basic understanding of Math, Statistics, Data Exploration and Data Visualization
Basic Statistics (Coursera) | introductory | 8 weeks
This course provides a basic understanding of statistics, including descriptive statistics, probabilities, and introductory inferential statistics.
Intro to Statistics (Udacity) | introductory | Online Self-Paced | 8 weeks
Get introduced to data visualization and learn systematic mathematical techniques for understanding data relationships.
Introduction to Data Visualization (Udemy) | Introductory | 1.5 hours | *certain fees apply
This course teaches the basics of chart types and applies user experience to data visualization.
Data Visualization for All (Trinity College/edX) | introductory | 6 weeks
Through step-by-step tutorials, this course is meant for employees who want to use visualization techniques to tell the story of their data.
Develop skills within data vocabulary and fluency
Understanding data (QLik) | 25 mins
Gain an understanding of data, learn about different types and attributes of data, and understand why learning about data is important in the world of analytics today
Big Data Fundamentals (I017) (GCCampus) | 30 mins
The key characteristics of big data, the benefits it can provide, the types of data it incorporates, and the different ways it can be applied.
Big Data Interpretation (I018) (GCCampus) |30 mins
How to effectively identify, gather, analyze and use your data to reap the benefits of big data.
