79 Data Analytics Preparatory Programs

The Certificate in Data Analytics is designed to give students practical skills in analyzing and interpreting data. It covers core concepts like statistical methods, data management, and visualization...

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.

Modern business software produces mountains of data; it is up to the professional to examine it and draw meaningful conclusions. This Data Analytics entirely online and self-paced program is designed for business professionals who wish to understand the fundamentals of quantitative analysis so that they can convert trends in their data into thoughtful business decisions. 

Data analysis skills can help you achieve better job security, increased earnings, and new career opportunities. No matter your current role or industry, our Data Analytics Short Course speeds your path to learning in-demand data skills and leveling up your career.

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.

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.

The overall goal of the Higher Diploma in Science in Data Analytics programme is to provide graduates with essential research and development skills in Data Analytics. It is envisaged that graduates from this programme will be well equipped to perform independent research that enables them to make informed and critical decisions regarding requirements elicitation and analysis, implementation, evaluation, and documentation in Data Analytics.

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.

Our Industrial Data Analytics certificate provides essential tools for analyzing diverse industrial and manufacturing process data. Gain proficiency in advanced statistical techniques, hands-on experience in experimental design, and the ability to analyze results through computer simulations.

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.

A growing importance in digital marketing analytics plays a crucial role in identifying business opportunities and improving operational excellence. Now more than ever before, web analytics is essential for marketers as it will help you overcome your challenges and benefit from big data. As a matter of fact, the global marketing analytics market is expected to reach $5.52 billion by 2025.

Finding needles in a haystack – it is probably what people in the field of data analytics are expected to do. It would be a simple task for them if they knew about the size, shape and colour of the needles they were looking for. In the past, data have always been collected with a purpose in mind and decisions were made based on the organization needs and the data analysis results.

Explore our Associate of Applied Science in Business Data Analytics. As data keeps increasing, it creates assets from which business professionals will need to extract crucial information. Technology professionals with expertise in data analytics are increasingly high in demand and will be paramount to the future success of businesses. This program is the first step towards earning your Bachelor’s Degree in Software Development – Data Analytics concentration. The Associate of Applied Science in Business Data Analytics provides foundational skills required to extract, load, and transform (ELT) data into common formats and communicate insight from unstructured data. This program prepares students for a variety of positions including Business Analyst, Data Analyst, Data Visualization Analyst, Insights Analyst, and Program Analyst.

The course will cover Data Analytics and Information Systems for Accounting and Finance. The course will cover system concepts, information representation for decision making, value of information, organizational system needs to meet objectives, quality of information for decision making, data and information modelling, management of information systems infrastructure and architecture, system life cycle, and risks and controls.