Become a Data Analysis Expert

Overview

In today’s rapidly evolving business landscape, accounting professionals are expected to be more than just number crunchers, they are expected to be insightful interpreters of data. In an era where data is king, this course is your gateway to becoming a savvy data analyst, giving you a competitive edge in your field. We will guide you through the intricacies of making complex data analysis approachable and engaging. You will learn the all important Data Analysis Process Flow that will take you from collecting data all the way to making insightful decisions based upon your data. We will explore the basics of data modeling that will allow you to access data from multiple sources and use sophisticated calculations to create our data metrics. You will learn how to create interactive dashboards, perform sophisticated reporting, and uncover deep insights from your data. Whether you’re looking to streamline your reporting process, enhance your data visualization skills, or make more data-driven decisions, this course is tailored to meet those needs. It’s not just about learning a tool; it’s about enhancing your professional identity as a forward-thinking accounting professional. This event may be a rebroadcast of a live event and the instructor will be available to answer your questions during the event.

Highlights

• Data Analysis Process Flow: An introduction to the Data Analysis Process Flow and how it is your pathway to becoming a Data Analysis Expert.
• Data Modeling: A comprehensive discussion of building a data model and calculating metrics.
• Data Visualizations: An understanding how visualizations can present data in a more insightful and impactful manner.

Prerequisites

None

Designed For

This course is ideal for anyone who is looking to become a data analysis expert.

Objectives

• Identify key features of the Data Analysis Process Flow.
• Recognize how your organization's key metrics can help you make insightful decisions.
• Distinguish between different data visualization techniques.

Preparation

None