Data Science and Analytics

UMKC Data Analytics Workshop Series

Using data science and analytics to solve your organization’s problems is knowing the right questions and applying the right methods.

What’s the problem I’m trying to solve? Do I have all the data that is available? Which data is valuable for my specific problem? What programming language should I use? How should this data be visualized?

If you know your data, then you’ll know the answer.

Through the UMKC Data Analytics Workshop Series, you will learn how to make your data work for you.

Our courses are designed for workers who want to gain a competitive edge in their careers, or for organizations that need to upskill and reskill their employees to take advantage of the benefits that data science offers. Our instructors guide you through interactive class sessions, where you will learn by doing.

Upcoming Workshops

Full Course List

Data Analytics with Excel

Harnessing your data is vital to making smart decisions, but not everyone needs expensive specialized software. Luckily, impactful data analysis can be easy and effective with Microsoft Excel – no data science degree necessary. In this course participants learn how to think strategically about data, identify the right questions to ask, and practice organizing, testing, and visualizing data with tools available in Microsoft Excel.

Python for Data Analytics

A working understanding of Python is a highly sought-after skill in today’s data science job market. This Python workshop provides attendees with a non-technical introduction to Python applications for data cleaning, merging, visualizing, and analyzing data. Leveraging Jupyter Notebooks, attendees will be empowered to answer the important questions for their organizations.

R for Data Analytics

Open-source and up-to-date, R is the programming language for data analytics. This workshop introduces students to R through a process of guided examples, ensuring a broad understanding of how it can easily address your analytical needs.

Data Management with SQL

Storing, cataloging, and retrieving data has become essential in today’s data-rich environment. SQL has been the workhorse of database management for a generation and remains a bedrock tool for modern data science. This workshop introduces students to the SQL environment, principles of database management, and basic tools for working with databases.

Data Visualization with R

Communicating knowledge has become paramount as consumers, clients, and citizens wade through data. Visualization is the science of communicating inference from data analysis concisely and accurately. This workshop leverages R as a tool for creating visually appealing and persuasive data stories.

Dynamic Dashboards with Tableau

Tableau has become an essential tool for visualizing and communicating data analysis to customers, executives, and other end users. This course leverages Tableau to help attendees create functional, attractive, and relevant dashboards as tools to communicate important data to internal and external stakeholders.

FAQ

Anyone interested in learning more about data analytics! From current students who want to graduate with some data analytics knowledge, to top executives hoping to make their data-based decision making stronger.

However, these courses are intro-level in nature, so anyone with significant experience in one of the topics probably won’t learn anything new from that course (i.e. someone who already uses Python regularly should not attend the Python workshop).

The categories – Foundational, Language, and Application – help to explain which part of the data analytics process each of the courses relate to. We want people to understand the lifecycle of data and how to interact with it during each stage.

Our foundational course is great for anyone. Data Analytics with Excel will give you a framework for thinking more strategically about data, as well as exploring ways to begin understanding that data using software you already have on your computer. Executives and mid-level managers with less data experience especially like this course.

Our language courses are more hard-skills focused. While they are introductory level and don’t require any previous experience with the specific tools, it will help to have a general understanding of the computing environment. People who want to start learning a programming language, or those who want to learn a new language thrive in these courses.

Our application courses focus on communicating data. Participants use tools and software to create visually appealing data they can use for effective storytelling. Anyone interested in making data more widely interesting and accessible will like these courses.

Each two-day course is $275 per person.

With each course you receive:

  • Live instruction from an expert in the field
  • Activities and assignments to practice skills
  • A certificate of completion from UMKC TalentLink
  • Opportunities to interact & network with other participants

Discounts are available for UMKC students, faculty, and staff. Contact us for details.

Sign up for the next session of Data Analytics with Excel. It’s an interesting and approachable entrance into data analytics. You can decide what other workshops you’d like to try from there!

Still unsure? Contact us! We’d love to talk with you about which courses best suit your needs.

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