What you'll learn:
- Understand the definition of data literacy and its importance in business.
- Gain knowledge of key statistical concepts and their application in a business context.
- Learn how to read and analyze data for business purposes.
- Understand the process and common pitfalls of data-driven decision-making.
- Be able to identify biases and distinguish between useful and misleading data.
- Learn how to effectively communicate using data, including principles of public speaking and creating visualizations.
- Develop hands-on skills in using Excel or Google Sheets to analyze data.
- Apply statistical concepts to real-world business case studies.
- Understand the role of probabilities in investment decisions.
- Become proficient in data literacy and data-driven decision-making, improving your ability to excel in a business setting.
Data need not be overwhelming. With fundamental data literacy skills, I will help you use data decision-making frameworks and statistics to create actionable business insights and presentations. Instead of being stuck, this course will help you become confident about data-driven decision-making. And, I will show you how to make simple, clear, and compelling data presentations by the end.
Do you feel confident in your ability to work with and analyze data? According to a recent survey by Business Intelligence tool Qlik, only 24% of people feel their data skills are up to par. The number drops to just 21% for younger people.
The course is designed to give you the skills, tools, and framework you need to become data literate and improve your data-driven decision-making skills. It is structured around the definition of data literacy: the ability to read, work with, and communicate using data.
In the Key Statistical Concepts section, we'll cover the most common concepts that form the foundation of analytics tools used in businesses. After learning each concept, you'll have the opportunity to apply what you've learned in a case study involving a pizza delivery business, using either Excel or Google Sheets.
The Analytics for Business section combines learning how to read and understand data with hands-on experience analyzing data. We'll cover concepts and see how they can be applied to business, such as using probabilities for investment decisions.
The largest section of the course is dedicated to data-driven decision-making. We'll learn the process and common pitfalls through case studies, and by the end of this section, you'll be able to identify biases in arguments and distinguish between useful and misleading data.
Finally, in the Communicating with Data section, you'll learn how to effectively communicate using data. We'll cover the general principles of public speaking with data, creating visualizations, and addressing challenges. By mastering these three pillars, you'll be able to deliver engaging and effective presentations using data.
The data revolution has already had a significant impact on businesses and it shows no signs of slowing down. Join me and become a part of this exciting movement!