This course provides an introduction to the programming environment and explores the basics of Python. After learning how to run a script, you will work with Python expressions, functions, and variables in interactive mode. By the end of the course, you will be able to write a basic Python script that includes built-in functions and modules.
With the number of applications available today, it is easy to create an assortment of graphs, charts, and other visualizations of data. This does not, however, guarantee that the data and the story behind it are being compellingly conveyed; without pinpointing that story in the data, it is impossible to communicate it effectively with visuals. In this course, you will examine how to frame the narrative in your data, determining the right visualization for the right question. Next, you will explore design principles that consider human attention and perception, then apply these concepts to your own visualizations in order to create simple, effective visuals that illustrate the key points in your data. Finally, you will compile your visual narratives and prepare them for professional presentation.
In this course, you will begin to create data visualizations in Python. You will do this by exploring the array of visual tools available in Matplotlib, a Python package designed with straightforward code techniques to make effective visualizations of data sets. You'll start by examining visualization libraries to determine the styles that best meet the needs of your data. You will then examine some simple approaches to efficiently utilize the Matplotlib documentation. Finally, you will create several plot types in Python, applying best practices and design principles in order to clearly and accurately communicate the story contained in your data. At the end of this course, you will be able to create and customize your own visualizations with minimal programming experience required.
This course aims to make statistical analysis approachable and practical, as you learn how to read and interpret statistical reports in a business environment, and how to communicate statistical results to stakeholders. First, you will practice assessing the statistical components and representations of statistical results in a case study. You will then identify the appropriate method and conduct a summary analysis of a data set. Finally, you will prepare an executive summary of the key statistical points identified through your analysis and create a narrative summary with supporting graphics.

In this course, you will practice making informed decisions based on statistical results. You will be introduced to the techniques you will use to view statistical tests critically and recognize the limitations of statistical conclusions. Next, you will examine statistical reports in order to identify the underlying research question. You will then use these insights to compare tests and rate their validity. Finally, you will prepare a report for stakeholders, providing recommendations based on your interpretation of statistical results.

It is recommended to only take this course if you have completed Interpreting and Communicating Data or have equivalent experience.

When giving a presentation, you want to ensure you communicate all of your critical ideas while you have your audience's attention. There are more effective ways of doing so beyond the standard large amounts of text and bullet points.

In this course, you will have the opportunity to rethink the way you design your presentations and slides. You will discover that there are straightforward ways to use your slide decks to serve two purposes: support your technical and business presentations while making your slide decks reusable and valuable resources inside your organization. You will then examine the life cycle of your presentations and begin to document who uses your slides, when they are used, and what clearances are needed to share and use them. You will also consider legal issues or proprietary concerns that may exist. Finally, you will start to build a process to help you protect proprietary information before you share it with external parties. As part of your study, you will review various selections from Dr. Traci Nathans-Kelly's book “Slide Rules,” which provides helpful insights and enlightening examples that you can apply in your own presentations.

It is recommended to only take this course if you have completed “Redesigning Slides for Impact” and “Engaging Presentation Techniques,” or have equivalent experience.

Your work in a technical field likely means that you periodically interact with colleagues, customers, suppliers, and other stakeholders who live in a different part of the world, speak a primary language different from your own, or have expertise in a different or non-technical field.

As a technical expert, your ability to anticipate the needs of audiences from diverse backgrounds and communicate effectively with them is essential.

In this course, you will have an opportunity to explore how you can prepare to meet the needs of audiences with differing backgrounds, primary languages, and levels of expertise, and even varying degrees of receptivity to your message. You will examine principles of persuasion and consider how and when to apply them both effectively and ethically. As part of your studies, you will also review pertinent selections from Dr. Traci Nathans-Kelly's book “Slide Rules,” and you will look at how you can prepare for the unexpected in your talks and maintain your composure when disruptions occur.

By the end of this course, you will have gained techniques and insights that you can apply as you prepare and develop presentations for a wide range of audiences with varying needs and interests.

It is recommended to only take this course if you have completed “Redesigning Slides for Impact,” “Engaging Presentation Techniques,” and “Designing Slides for Live and Legacy Use,” or have equivalent experience.

In this course, you will explore how to create common visualizations based on your data and goals. We will learn the steps you must take to successfully create a great chart. These include planning the chart, collecting and preparing your data, and choosing an appropriate chart type. You'll examine the different categories of visualizations and determine the best chart for your purposes.

After creating an initial version of a chart, how do you make it better? In this course, we'll explore the process for creating great charts. First, you'll explore how best to plan and draft your chart. Then, you'll need to eliminate distractions in the chart to make your visualization clear. It's also important to emphasize the most critical data in your chart. We'll look at how our brains process visualizations, and how you can use this information to better design your chart. Lastly, we'll examine how to adjust a chart to target your audience and the iterative process you can use to improve it.

It is recommended to only take this course if you have completed Creating Data Visualizations with Tableau or have equivalent experience.

This course explores Python functions. As you expand your technical vocabulary, you will practice visualizing Python executions. In addition, you will examine the rules for writing functions and recognize a properly formatted specification. You will explore writing simple functions to process text and be able to turn an English description into code. You will also practice testing and debugging code and learn how to interpret error messages.

It is recommended to only take this course if you have completed Python Fundamentals or have equivalent experience.

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