17 Data Analytics Course Programs in USA

Whether you're starting your career or adding quantitative skills to your existing toolkit, the Immersive Program in Data Analysis is your opportunity to thrive in the digital economy. You will develop proficiencies in data collection, processing, visualization, and interpretation.

Advances in technology have changed the way businesses make decisions. Companies need people who can quickly analyze data, make meaningful and valid conclusions, and provide recommendations to integrate ideas into strategy. A Minor in Data Analytics at Regis shows students how to mine through data using analytics tools, and teaches them how to make data-driven decisions and solutions.

The 15-credit certificate program in Big Data Analytics is designed to address the needs of professionals with a Bachelor of Science or a Master of Science degree in Information Science or a related field. Students in this program learn to effectively handle large amounts of disparate data. Big data involves three major dimensions: data size, data rate, and data diversity. We provide our students with essential, in-depth knowledge of techniques and technologies relevant for big data management. The courses offered allow you to tailor your program of study to your individual interests.

Data analytics and society offers an explicit focus on social and historical context, emphasizing critical literacies for data analysis and ethical decision-making. This Nexus focuses on acquiring concrete skills and data and visual literacies in hands-on research application. As a Nexus student, you will link courses in data analysis across disciplines to engage with fundamental data literacies for citizenship, in particular visual, communicative and interpretive capabilities in social context. The Nexus in Data Analytics and Society can enhance a range of different majors by adding a concentration in social research and will help you represent your applied analytical skills in problem solving and data analysis.

A degree in Data Analytics equips students with the skills to effectively acquire, analyze, and interpret data, making informed decisions and solving complex problems across various domains. Students learn how to collect and gather data from various sources, including databases, websites, sensors, and social media platforms. They gain proficiency in data collection techniques, data cleaning, data preprocessing, and data integration to ensure the quality and reliability of the data for analysis.

The Data Analytics program allows students to enhance their Curry College major by adding data analysis and its application to their particular discipline of study. Data Analytics is an emerging, credentialed skill set that employers today value and is in high demand, benefitting students majoring in Biology, Business, Public Health, Sociology and more. Related: Curry College to Launch School of Business and Computer Science Data generation has rapidly increased in recent years, and multiple industries and fields seek to collect data, find patterns, and make predictions using these data. Students minoring in Data Analytics will learn how to design databases to collect relevant data and identify patterns in the data. Students will receive hands-on experience training Machine Learning (ML) models to make predictions by finding patterns in historical data, using a variety of specialized ML software.

Data analytics will be a critical tool in shaping the future, and those with the right skills and perspective will be ready to help tackle important issues, including climate change, the future of work, globalization, healthcare, artificial intelligence and critical aspects of privacy and security. Data analytics at Dickinson was designed to transcend traditional disciplinary boundaries, integrating computational acumen with opportunities in the natural sciences, social sciences, arts, languages and humanities.

Affordable and high-quality accounting and data analytics combined program supported by an AACSB-accredited business school — a standard of achievement so prestigious that less than 5% of business schools worldwide have earned this distinction. Earn your bachelor’s and master’s degrees in only five years. This 4+1 accounting/data analytics and accounting B.S./M.S.

Harpur College's Digital and Data Studies minor provides an interdisciplinary and hands-on immersion into digital literacy and data-inflected thinking. Drawing cases and applications from a range of disciplines, the minor complements all of Harpur's majors.

Analytics refers to the systematic computational analysis of data or statistics, often used to gain insights, make informed decisions, and uncover meaningful patterns or trends. Here are some key points about analytics: Types of analytics: Descriptive analytics: Describes what has happened based on historical data. It involves summarizing data and generating reports to understand past performance. Diagnostic analytics: Focuses on why something happened by identifying patterns and correlations in data. It helps in uncovering the root causes of events or trends. Predictive analytics: Uses historical data and statistical algorithms to forecast future outcomes or trends. It involves modeling and predictive modeling techniques to make predictions. Prescriptive analytics: Goes beyond predicting outcomes by suggesting actions or strategies to optimize results. It combines data analysis with optimization techniques to provide actionable recommendations.

Data drives every important decision being made across the globe, from local companies to multinational corporations, governments and beyond. The Data Analytics program ensures that students will have a master of the data skills necessary to start a successful career the moment they graduate. The program’s curriculum advisors are industry leaders who have spent decades at the top of their fields, and students will learn to conduct the research that helps organizations plan new marketing strategies, make business decisions and map out the path to future success.

This program prepares students to work with data analytics tools used in enterprises. Computer Information Systems (CIS) provides students with a broad background in the application of computers to the emerging needs of business and industry. CIS programs of study prepare students for entry-level positions in computer programming, systems analysis, database programming, help desk, computer operations and network management, information systems management, and sales and technical information positions.

Mathematics impacts all sectors of society, and those with the ability to analyze data with it have a huge competitive advantage. While obtaining a degree in Applied Mathematics you will become a master of analysis and problem-solving, honing your quantitative skills. You can go beyond classroom learning and gain valuable experience through research opportunities and guaranteed internships.

The M.S. in Data Analysis and Visualization offers an interdisciplinary program of study that encompasses statistics, visual aesthetics, interaction design, and data literacy. Grounded in principles of data ethics and foregrounded in a critical approach to data studies, this degree program offers students the opportunity to learn about the basics of working with data and to explore fundamental concepts and methods for analyzing and interpreting data and statistics. These include how to visualize data, principles of graphic design, and media theory and history. This program will help students think critically and historically about contemporary methods and techniques for working with data.

Blending statistics and computing to develop methods that support data analysis, this interdisciplinary minor may appeal to you if you major in business, finance, or economics. And if you intend to do research in any area that requires quantitative thinking, this minor could set you apart as you apply to graduate schools.