Professional Certificate in Data Science for Business
Unlock solutions hidden in data to take on business challenges.
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Put your interdisciplinary knowledge into practice to solve real-world problems in any industry that uses data to make better business decisions.
The University of Chicago’s ten-month Professional Certificate in Data Science for Business program provides solid theoretical frameworks in key areas of expertise within the field. Taught by seasoned industry experts, the program guides participants through core principles, tools, and trends, culminating in a deep dive into artificial intelligence and machine learning.
Designed For
Designed for professionals with backgrounds in computer science, data analysis, mathematics, programming, or statistics who want to sharpen their skills for today’s data-driven industries.
Learning Objectives to Become an Expert in Business-Applied Data Science
This immersive learning journey prepares professionals to meet the challenges of today's data-driven environment. You will emerge equipped to become a cutting-edge data scientist capable of developing, optimizing, and scaling disruptive AI and machine learning models.
After completing the certificate program, you will be able to:
- Build and extract insights from document databases.
- Design code that runs in parallel using multiprocessing and multithreading functionality.
- Understand R and RStudio and their applications.
- Use scripting languages, including Python, to process, visualize, and analyze large datasets and implement machine-learning solutions.
- Apply techniques and tools to turn data-driven insights into compelling narratives.
- Earn a certificate of completion from the University of Chicago and become part of the UChicago network.
Ready to Take Your Career to the Next Level?
Register today and unite your professional practice with our distinctive blend of academic rigor and real-world application.
Register NowOur Professional Certificate in Data Science for Business comprises the following eight-week courses:
Artificial Intelligence and Machine Learning
In this course, you will expand your Python skills and acquire the mathematical and theoretical frameworks to leverage machine learning.
Data Engineering
This course provides a technical overview of data collection, storage, management, and usage to bolster business intelligence.
Python for Data Science
Project-based and application-oriented, the course will teach you how to design, write, and run high-performing Python code.
Statistics for Data Science
This course equips you with the core tools to manage datasets, extract meaningful insights, and enhance decision-making processes.
Strategic Data Storytelling
The course teaches you the art of conveying insights through compelling narratives to drive impactful, data-led decision-making.
View the full data science curriculum.
Drive Informed Decisions by Analyzing and Extracting Data
Discover how this data science certificate program can help you gain the tools and knowledge you need to enhance your decision-making process in a data-driven world.
Get In TouchCareer Outlook for Data Science Professionals
In today's rapidly evolving business landscape, data science has become a cornerstone of decision-making across industries. Given data's exponential growth, businesses increasingly rely on data scientists to extract insights and drive strategic initiatives. As companies continue to invest in technology and analytics, the demand for skilled data scientists is expected to surge, offering lucrative career opportunities in finance, healthcare, retail, and beyond. With the potential to revolutionize operations, enhance customer experiences, and boost profitability, data science remains at the forefront of innovation, shaping the future of business.
The average annual base salary for a data scientist in the United States.
The projected growth in employment of data scientists to 2032.
The expected CAGR of the global data science platform size to 2027.
Potential Job Titles in Data Science
- Analytics Consultant
- AI Engineer / Specialist
- Big Data Engineer
- Business Intelligence Engineer
- Computer Vision Engineer
- Data Architect
- Data Insight Analyst
- Data Mining Analyst
- Data Scientist
- Database Administrator
- Entry-Level Software Developer
- Junior Python Developer
- Machine Learning Engineer
- Machine Learning Specialist
- Python Full-Stack Developer
- Quality Assurance Engineer
- Senior Python Developer
- Statistician
Admission Process
Application
Complete the application form and pay the non-refundable fee.
Interview
Receive a call for an interview with our Admissions Team.
Results
Our Admissions Committee will inform you of their final decision within two business days.
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Of Interest
Strategic Data Storytelling
Learn to craft data insights into narratives that spur action and create value.
