Data Literacy for Business Professionals

Data Literacy for Business Professionals, available at $54.99, has an average rating of 4.4, with 28 lectures, based on 2300 reviews, and has 6679 subscribers.

You will learn about 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 This course is ideal for individuals who are Business leaders and employees across the world who want to build the fundamental skills that will enable them to make data-driven business decisions It is particularly useful 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.

Enroll now: Data Literacy for Business Professionals

Summary

Title: Data Literacy for Business Professionals

Price: $54.99

Average Rating: 4.4

Number of Lectures: 28

Number of Published Lectures: 28

Number of Curriculum Items: 28

Number of Published Curriculum Objects: 28

Original Price: $99.99

Quality Status: approved

Status: Live

What You Will 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

Who Should Attend

Business leaders and employees across the world who want to build the fundamental skills that will enable them to make data-driven business decisions

Target Audiences

Business leaders and employees across the world who want to build the fundamental skills that will enable them to make data-driven business decisions

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!

Course Curriculum

Chapter 1: Introduction

Lecture 1: What is Data Literacy?

Lecture 2: Course Overview and Instructor Background

Chapter 2: Collecting and Preparing Data

Lecture 1: Considerations in Collecting Data

Lecture 2: Sources of Data

Lecture 3: Assessing Data Quality and Generalizability

Lecture 4: Simplifying and Adapting Data

Chapter 3: Exploring Data Visually

Lecture 1: Using Visualizations to Explore Data

Lecture 2: Using Excel to Create Visualizations

Lecture 3: Line Charts

Lecture 4: Bar Charts

Lecture 5: Pie Charts

Lecture 6: Box Plots

Lecture 7: Dot Plots

Lecture 8: Histograms

Chapter 4: Describing Data Numerically

Lecture 1: Introduction to Describing Data Numerically

Lecture 2: Using Excel in This Section

Lecture 3: Methods to Describe Center

Lecture 4: Practice with Central Tendency Measures

Lecture 5: Methods to Describe Variability

Lecture 6: Practice with Variability Measures

Lecture 7: Re-scaling Data with Z-Scores

Lecture 8: Z-Score Practice and Interpretations

Chapter 5: Telling the Story

Lecture 1: The Difference of Effective Communication

Lecture 2: Telling the Story Section Excel File

Lecture 3: Highlight Key Information in Visualizations

Lecture 4: Provide Context with Numerical Descriptions

Chapter 6: Conclusion

Lecture 1: Additional Resources and Next Steps

Lecture 2: Final Summary and Thank You!

Instructors

Grant Hall
Business Instructor and Tutor

Rating Distribution

1 stars: 20 votes
2 stars: 42 votes
3 stars: 296 votes
4 stars: 839 votes
5 stars: 1103 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!

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