28 Data Analytics Course Programs in USA

Gain the skills to collect, process, analyze and interpret data to develop actionable insights. Learn how to leverage machine learning, statistics, data mining, and big data to develop new strategies in marketing, retail, health care, finance, and other fields.

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.

Before insights can be derived from data analysis, raw information needs to be fed into databases at low transactional levels. Various tools and techniques are used to make this happen. This data entry training course explains how to ensure proper storage and retrieval of essential information using technical, analytical and soft skills. We show you how to quickly input, update and validate data while maintaining accuracy and integrity.

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.

Build your business analytics skills and learn to manage, wrangle, and analyse data with Excel and SQLite.

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.