Programs

In this digital age, more companies are making use of artificial intelligence (AI) as a way to increase productivity. But as a result of this shift, organizations face an entirely different leadership challenge. What do leaders need to know to effectively integrate AI into their organizations? And how do leaders design organizational structures that take into account the roles of humans and machines in integrated teams? If you are a manager or leader of a technical team, analytics group, or any other function that leverages data science, this program will help you to better understand AI and the opportunities and risks of an AI-driven organization.

Foundational

Data & analytics

We live in a day when data is quite literally raining from the sky. Artisanal data analyses that rely on point-and-click methods make it hard to keep up with the increasing number of analyses that are needed in nearly every organization and department.

The Analytics iCademy has a variety of competencies that provide foundational and advanced resources to ease the burden you face when learning about data analytics. Within each competency, skills are organized based on the analytic platform that you want to learn, such as Excel, R, or Python. Each skill is designed so that you can complete it in a relatively short amount of time and at your own pace, and when you’re ready to do so.

Foundational

Data & analytics

The Microsoft Certified Solutions Associate in Power BI (MCSA) certification validates the ability to create and optimize data visualization techniques via specific tool types. This certification ensures that students can create and identify key performance indicators, and successfully manipulate and cleanse data.

Foundational
Intermediate

Data & analytics

Students in the Data Analytics for Business Professionals certificate acquire technical analytics communication skills, enabling them to effectively manage analytics teams, translate analysis into business objectives, and improve their evidence-based decision-making abilities. Data Understanding and Preparation, the first core course in the program, guides students through sourcing, preparing, and manipulating their data. In the next course, Data Visualization and Storytelling, students will learn to apply data analysis, data visualization and data storytelling methods to analyze and describe patterns, and to iteratively form and test hypotheses related to the business questions. Advanced Analytics and Machine Learning, the final core course in the program, introduces students to the theory and practice of machine learning. Students will learn how to implement the most popular machine-learning techniques in use today to discover patterns in their data and develop models to predict future outcomes.

To enroll with the discounted TechReady Illinois price, email Karine Bravis at [email protected] For more information about the program, visit the program webpage.

Foundational
Intermediate

Data & analytics

The Data Mining specialization teaches data mining techniques for both structured data which conform to a clearly defined schema, and unstructured data which exist in the form of natural language text. Specific course topics include pattern discovery, clustering, text retrieval, text mining and analytics, and data visualization. The Capstone project task is to solve real-world data mining challenges using a restaurant review data set from Yelp. This course is offered by University of Illinois Urbana-Champaign (via Coursera). Completion of this Specialization results in a University of Illinois certificate.  

Intermediate
Advanced

Data & analytics

iCAN (Illinois Computing Accelerator for Non-Specialists) is a one year broadening participation program designed for college graduates without a background in computer science. Hands-on course work in computing fundamentals, individualized attention from world-class faculty, and academic and career mentoring empower iCAN students to make ground-breaking research contributions and technological innovations. Successful completion of the iCAN program results in a student receiving a Computing Fundamentals Certificate.

Foundational

Data & analytics
Software development

When it comes to query language for relational database management systems, SQL is the industry benchmark. This hands-on course will help you advance your knowledge and keep pace with today's SQL standards. You will practice designing, writing, and testing complex SQL queries to execute on a practice database using SQL Server Express.

Intermediate

Data & analytics

Businesses run on data, and data offers little value without analytics. The ability to process data to make predictions about the behavior of individuals or markets, to diagnose systems or situations, or to prescribe actions for people or processes drives business today. Increasingly many businesses are striving to become “data-driven”, proactively relying more on cold hard information and sophisticated algorithms than upon the gut instinct or slow reactions of humans.

Foundational
Intermediate

Data & analytics

i.c.stars provides a paid ($200/week) 16-week project-based internship at our learning studio (currently virtual) to help underserved young adults jump start their careers in technology. This includes daily relationship-building and mentorship from industry practitioners. Graduates of i.c.stars see a 300% earnings increase and are working in roles such as QA Analyst at US Foods, Information Security Apprentice at Accenture, Associate Software Engineering at Discover, among others. Badging and industry certifications depend on the client project, and have included UiPath (robotic process automation platform), Enterprise Security Fundamentals, Querying data with Transact-SQL. Support continues for 20-months, combining professional development, mentoring and continuing access to wrap around support. In addition, students can achieve 24 prior learning credit hours with a higher education institution.

Foundational

Cybersecurity
Data & analytics
Software development

The University of Chicago’s eight-week Python for Data Science program introduces the basic concepts of Python as a programming language. This highly technical program is project-based at its core and you will be presented with many practical examples before being afforded an opportunity to create and run your own Python projects. 

Intermediate

Data & analytics

Splunk is a leading big data platform that provides a unified way to organize and extract real-time insights from massive amounts of machine data from virtually any source.

Splunk software/platform will be leveraged throughout the duration of this course to teach students the fundamentals of big data and data analytics by showing them how to unlock the hidden value of big data. By utilizing the Splunk Platform, we will be able to show students how to collect, index, search, analyze and visualize data in one place.

Participants who successfully complete this course will be prepared to complete the Splunk Core Certified User exam.

Foundational

Data & analytics