Data Science: Understanding Big Datasets

Unlock the solutions hidden in data to take on business challenges

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Data Science

At a Glance

Type
Certificates
Enrollment
Open Enrollment
Duration
8 months Open Enrollment
Format
Online
Total CEUs

25.7

what are CEUs?
Cost
$7,950 for certificate

Upcoming Dates

February Start

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Our eight-month Data Science certificate is designed to provide solid theoretical frameworks in key areas of expertise within the field. Taught by seasoned industry experts, the program will guide participants through core principles, tools, and industry 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.

Gain the skills you need to solve real-world problems with data. Upon completing the program, you will be equipped with the tools to put your interdisciplinary knowledge into practice in any industry that uses data to make better business decisions.

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 RStudio and its application
  • Use scripting languages, including Python, to process, visualize, and analyze large data sets and implement machine learning solutions
The Data Science Certificate at the University of Chicago

Are you interested in learning how to drive informed decision-making by managing, analyzing, and extracting data?

Discover how this program can help you gain the tools and knowledge you need to enhance your decision-making process in a data-driven world. 

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Online Learning Course Structure

  • Understand, prepare, and report on data; clean raw data; use SQL to load and query data 
  • Understand the Python programming language and design and write high-performance code
  • Use statistical methods to solve complex problems with data and take the first steps toward machine learning 
  • Turn big data into intelligent, actionable insights through artificial intelligence and machine learning

Certificate Modules

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Career Outlook for Data Science Professionals

Propelled by rising data volume and the growing adoption of sophisticated data management tools, the data science market platform is expected to grow by 26.9 percent by 2027. Data engineering, statistics, AI and machine learning (ML), and Python coding are each fast-growing fields with an increased demand for qualified professionals. The World Economic Forum has ranked AI and ML roles, as today’s most in-demand jobs. Statisticians will be thirty-three percent more employable by 2031. Python, one of the most popular programming languages, has seen an increase in the number of job openings for those who know it—from 70,242 positions in September 2019 to 79,942 in February 2021. Positions in data engineering are expected to grow 50 percent year-over-year.

$ 97 k

The average annual base salary for a data scientist in the United States

# 1

Python’s rank among programming languages that developers want to learn

26.9 %

The expected CAGR of the global data science platform size from 2020 to 2027

Potential Job Titles for Data Scientists

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