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Description

The data revolution is coming!
Around the globe companies are relying on data to make optimal decisions and bring about better solutions for their customers.
To stay ahead of the curve and not be left behind you
need to develop data literacy
- the ability to understand data and guide a data driven analysis process. By the end of this course, you will be prepared to
lead a data driven project from start to finish.
Data literacy will enable you to stand out among peers as you are able to drive robust data-driven decision making to your organization.
With over 20 lectures and two and a half hours of video, you will be exposed to many topics including how to collect and prepare a dataset, ways to explore data visually, how to effectively summarize a dataset with millions of rows into just a few numbers, and how to present all your results effectively at the end of a project. You will also have the opportunity to practice what we learn as you go along in the course! Downloadable Excel files will be available so students can apply the concepts as they learn them and arrive at the same results I do in each lecture.
The course is broken down into the four steps you must take when working on any data analysis project: 
Collecting and Preparing Data
Exploring Data Visually
Describing Data Numerically
Telling the Story
I look forward to seeing you in the course and helping you develop data literacy!
Who this course is for:
Business leaders and employees across the world who want to build the fundamental skills that will enable them to make data-driven business decisions

What you'll learn

Utilize and leverage data to improve business outcomes

Find appropriate data sources and prepare them for use in an analysis

Explore data visually to gather insights that can't be gathered with numbers alone

Effectively describe a dataset containing millions of rows with just a few numbers

Create and tell a story with data

Inspire action through data-driven results

Requirements

  • You will need a copy of Adobe XD 2019 or above. A free trial can be downloaded from Adobe.
  • No previous design experience is needed.
  • No previous Adobe XD skills are needed.

Course Content

27 sections • 95 lectures
Expand All Sections
1-Introduction
2
1.1-What is Data Literacy?
1.2-Course Overview and Instructor Background
2-Collecting and Preparing Data
4
2.1-Considerations in Collecting Data
2.2-Sources of Data
2.3-Assessing Data Quality and Generalizability
2.4-Simplifying and Adapting Data
3-Exploring Data Visually
8
3.1-Using Visualizations to Explore Data
3.2-Using Excel to Create Visualizations
3.3-Line Charts
3.4-Bar Charts
3.5-Pie Charts
3.6-Box Plots
3.7-Dot Plots
3.8-Histograms
4-Describing Data Numerically
8
4.1-Introduction to Describing Data Numerically
4.2-Using Excel in This Section
4.3-Methods to Describe Center
4.4-Practice with Central Tendency Measures
4.5-Methods to Describe Variability
4.6-Practice with Variability Measures
4.7-Re-scaling Data with Z-Scores
4.8-Z-Score Practice and Interpretations
5-Telling the Story
4
5.1-The Difference of Effective Communication
5.2-Telling the Story Section Excel File
5.3-Highlight Key Information in Visualizations
5.4-Provide Context with Numerical Descriptions
6-Conclusion
2
6.1-Additional Resources and Next Steps
6.2-Final Summary and Thank You!