Data Science

Midwestern Career College’s Data Science program is designed to equip students with the essential skills and knowledge to thrive in the data-driven world. Students will receive instruction in querying databases, using Python and R for data visualization and analysis, and performing machine learning algorithms. The program emphasizes hands-on learning to ensure students master the principles, methods, and techniques required for successful careers in data science and analytics.

Program Details

Midwestern Career College’s Data Science program’s mission is to provide premier career-focused education in the field of data science. Students will be introduced to essential concepts and skills, including querying and creating databases, data visualization and analysis using Python and R, performing machine learning algorithms, and understanding big data technologies. The curriculum covers a range of topics such as basic and intermediate statistics, data wrangling, metrics and data processing, programming foundations, and project management.

Program Objectives

The Data Science program prepares students to:

• Demonstrate a comprehensive knowledge base in data science principles and practices, including statistics, data analysis, and machine learning.
• Utilize programming languages such as Python and R to analyze and visualize data.
• Apply machine learning algorithms to predict outcomes and identify patterns.
• Conduct data wrangling to prepare and clean data for analysis.
• Evaluate data sets using statistical methods to draw meaningful conclusions.
• Implement big data technologies to handle and analyze large data sets.
• Exhibit problem-solving skills in data-related challenges.
• Demonstrate the ability to function well in a team-oriented environment.

What Does a Data Scientist Do?

Data scientists play a crucial role in supporting successful business operations by demonstrating competence and skill in the following areas:

• Query and create databases to manage and store data efficiently
• Use programming languages to analyze and visualize data
• Develop new metrics and data processing methods to improve business insights
• Apply statistical analyses to draw meaningful insights from data
• Utilize big data technologies to handle large datasets and perform complex analyses
• Implement programming concepts to solve data-related problems

What else does a data scientist do? Find out more about this career in the video below.

Available Career Skill Badges