Online Certificate Programs in Business Analytics , Data Analytics

The Data Analytics Graduate Certificate from Harvard Extension School is a program where you learn to handle and make sense of real-world data. You'll pick up the right ways to analyze data, use computer programming for business analysis, and work with databases and cloud storage to keep and look into business data. You'll also learn how to show your data findings in easy-to-understand visuals and explain them to different kinds of people, whether it's about ads, sports, health, media, or new tech areas.

The Harvard Business Analytics Program (HBAP) is an online program made by experts in data and AI, offered by three big Harvard schools. It's for people all over the world who work with data and want to get really good at it. This program can take 10 months if you're going full time or up to 24 months part-time.

Students need to take four courses, which is about 16 credits, to get this certificate. If you already know a lot about statistics, you can choose an extra data analytics class instead of starting with the basics. But if you're new to this, you'll start with an intro course. It helps if you know some statistics and how to use R programming. Some classes might need you to know calculus and algebra, and having some business experience is a bonus.

This course is all about making you a pro in using data tools and the latest tech like data mining, predictive analytics, machine learning, and AI to help your business do better in things like strategy, production, marketing, and more. It's about learning the tech side of business and being able to tell your team what all the data means in a way that helps everyone.

Marketing analytics gathers data from across multiple marketing channels, providing marketers with a solid view of how their campaigns are performing based on a series of business metrics. The goal of this practice is to leverage these insightful findings to make better decisions and optimize future marketing efforts.

This certificate program is designed for professionals who want to launch or refresh their marketing careers with cutting-edge knowledge. Marketers, analysts, business and product managers, brand managers, and others seeking to take a data-driven approach to marketing will benefit from this program.

This certificate program will provide you with the skills and training you need to leverage analytic tools, frameworks, and models to create impactful marketing content, optimize web analytics, improve online presence, as well as produce actionable insights, make informed, analytics-based marketing decisions, and promote innovative marketing initiatives within your organization.

Understand the consumer and motivate the behavior that drives business success and learn how marketing analytics can be a powerful tool for inquiry and the development of marketing initiatives.

Learn to confidently oversee online business performance by mastering concepts like attribution, cookies, driving traffic with SEO and SEM, mapping the customer journey, and measuring KPIs against set goals.

Learn analyze data, estimate campaign effectiveness, segment and size markets, and use predictive modeling to forecast customer lifetime value.

Understand the complexities in the application of big data in marketing to drive individualized experiences and gain a five-step framework to address and improve customer engagement through data-driven marketing.

After completing the Certificate, you will be able to:.

Collect, measure, analyze, and report web data to understand and optimize web usage.

Leverage AI and machine learning to extract insights generated through algorithms, data sets, and models to predict future behaviors and inform effective marketing strategies.

Apply social science theories to arrive at data-driven consumer understanding, recommend marketing actions, and test potential courses of action.

Understand and use tools to analyze and process large volumes of real-time customer data.

Dave Cameron is a seasoned data science and marketing analytics leader in both the corporate and start-up spaces. He brings over twenty-five years of experience to the University of Chicago. As a forward-thinking executive, Cameron has built and led teams on analytics thought leadership, statistical and product innovation, data-driven performance marketing, and attribution modeling for consumer acquisition, retention, and profit. He spent over twelve years at Nielsen Holdings, the global measurement and data analytics company, where he served in vice presidential roles in data science, customer segmentation, and statistical methodology. Cameron takes a strategic and pragmatic approach to solving challenging data problems by balancing learning and innovation with efficiency and automation. He earned an MSc in Applied Statistics from Ohio State and a BSc in Applied Mathematics in Computer Science from the University of Detroit Mercy.

Edward Ramsey, founder and principal consultant of 444 Ignite, has over twenty-five years of experience in advertising, media, and marketing services. As a senior executive at a multibillion-dollar marketing services company, Ramsey leads enterprise initiatives to innovate services, grow revenue, build new technologies, and drive business transformation.

Tracy Samantha Goodheart, MScFounder of Socially Authentic Data-Driven Content Marketing.

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Our online learning programs are crafted with your specific needs in mind.

Certificate programs combine e-learning with live, interactive sessions to strengthen your skill set while maximizing your time. We couple academic theory and business knowledge with practical real-world application.

Certificate participants will receive a certificate of completion.

Our professional certificates are recognized by industry leaders.

Unite your professional practice with our distinctive academic theory through immersive and impactful continuing education offerings.

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We live in a data-centered world, and the ability to make data-driven decisions and craft strategy informed by an effective analysis of data are key elements of successful leadership in any industry. The online Certificate in Data Analytics is a 4-course, 4 c.u. sequence designed to provide a point of entry for individuals to gain expertise in data analytics. The only prerequisites are a familiarity with using a computer, basic math skills, and a willingness to learn.

Prior to the start of the term, students in DATA 1010 are required to complete an online, pre-course module that takes approximately 3-5 hours. this module on the DATA 1010 course page.

Penn LPS Online courses in the Certificate in Data Analytics are offered on an accelerated (8-week) schedule. Courses in this online certificate program include a weekly synchronous session.

Although courses in this certificate must be taken sequentially to build your expertise in data analytics, you have the option to enroll in one or online data analytics courses without committing to the entire online certificate.

Academic credit is defined by the University of Pennsylvania as a course unit (c.u.). A course unit (c.u.) is a general measure of academic work over a period of time, typically a term (semester or summer). A c.u. (or a fraction of a c.u.) represents different types of academic work across different types of academic programs and is the basic unit of progress toward a degree. One c.u. is usually converted to a four-semester-hour course.

The certificate encouraged creative thinking, especially the higher-level classes.

The Certificate in Data Analytics prepares you to:.

Develop skills in statistical programming and data analysis in R.

Fox Leadership Program, University of Pennsylvania.

Data Scientist, Penn Program on Opinion Research and Election Studies.

The Certificate in Data Analytics will provide you with the skills and knowledge to analyze data and make data-informed decisions. The certificate is not designed to train you to be a data scientist but to provide a foundation and confidence in data analysis techniques. Career options may include:.

Courses in the Certificate in Data Analytics must be completed sequentially, beginning with DATA 1010: Introduction to Data Analytics. Students must complete all four online data analytics courses in order to earn the Certificate in Data Analytics.

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To earn a certificate in Business Analytics, you must complete the three core courses (BUS_ANLY 201, BUS_ANLY 202, and BUS_ANLY 204). There is no admissions process for the Certificate in Business Analytics.

Students who began the program prior to the fall 2021 term must complete four courses to earn their certificate: BUS_ANLY 201, BUS_ANLY 202, BUS_ANLY 203, and BUS_ANLY 204.

PDP courses are offered online, remotely, and on-campus. Please refer to the Schedule Notes for course delivery information.

Current students with an active NetID must complete their student acknowledgment in CAESAR before registering for courses. New students must complete their student acknowledgment in CAESAR within 48 hours of enrollment before official registration can be finalized.

The Certificate in Data Analytics focuses on data preparation, data analysis, applied statistics, and data visualization. Students in the program learn to communicate, problem solve and lead around data practices, making them competitive in the St. Louis region. Students are able to complete this certificate online, however, course availability may vary depending on the semester.

This certificate program is designed primarily for individuals wishing to transition to a data analytics career, including people who have little to no background in data, or students who have some background in data but want to enhance or learn data-related skills. Upon completion of the certificate, students should be competitive for entry-level data analytics and data analysis careers.

Business-related programs at CAPS are not accredited by the Association to Advance Collegiate Schools of Business (AACSB International) at Washington University. Most courses are three units.

Business Analytics Data Analytics is offered either mostly or fully online. Students entering the U.S. on an F-1 or J-1 Visa must enroll in a program full time. F-1 students are only permitted to enroll in one online course per semester and J-1 students may only enroll in non-credit online courses that do not count toward their degree program. The School of Continuing Professional Studies (CAPS) cannot guarantee face-to-face enrollment options each semester of full time enrollment, therefore cannot issue an I-20 or DS 2019 to F-1 and J-1 students for this program.

Communicating, Leading, and Problem Solving with Data (TBD).

Data Analysis and Visualization with Tableau.

SQL and Dat Exploration and Analysis.

Introduction to Data Science with Python.

Schedule time with a student recruiter today to find out how you can get the most out of your CAPS programs and courses.

The Specialized Certificate in Data Mining for Advanced Analytics provides students with the skills to design, build, verify, and test predictive data models to make data-driven decisions in any industry. In this program students will use real-life data sets from various industries to complete data mining projects.

Students learn to plan and execute all the steps of data preparation, analysis, learning and modeling, and identifying the predictive/descriptive model that produces the best evaluation scores. Targeted elective courses allow students to learn further in-demand techniques, tools, and languages.

Artificial Intelligence Data Analysis Executive Certificate Program.

120 hours of lectures (live + online) + 180 hours of self-study.

1 live week (30h) in Zurich Winterthur (March 18-22, 2024).

1 live week (30h) in California (Davis SF) (May 13-17, 2024).

Executive Education Certificate: Participants will receive a UC Davis Executive Education Certificate.

A total of two weeks is expected to be live on campus (one week in California and one week in Switzerland), while the rest of the courses are provided as online asynchronous classes, to be completed during the off-campus period.

Gallagher, Jr. Hall was the first business school building in California to earn LEED-Platinum certification for its eco-friendly construction.

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Which require new techniques for processing and analysis.

The new Graduate Certificate in Data Analytics will provide professionals with the skills required to compete for data analysis jobs amid rising global demand. The certificate program will explore the intricacies of data analytics and expose students to various topics related to data processing, analysis, and visualization. Along with probability theory and statistical analysis methods and tools, students will learn generate relevant visual presentations of data and will examine concepts and techniques for data mining, text mining, and web mining. Individuals who complete this program will have a solid knowledge of data analytics practices accompanied by exposure to the methods and tools for data mining and knowledge discovery.

Students who complete the Graduate Certificate in Data Analytics will be able to demonstrate:.

Familiarity with applied probability and statistics, and their relevance in day-to-day data analysis.

The ability to explore the various data visualization techniques and their applications using real-world data sets.

An understanding of web analytics and metrics, procure and process unstructured text, and delve into the hidden patterns.

Skills in facilitating knowledge discovery using data mining techniques over vast amounts of data.

Small course sections ensure that students get the attention they need, while case studies and real-world projects ensure that they gain in-depth, practical experience with the latest technologies.

Bureau of Labor Statistics, U.S. Labor, Occupational Outlook Handbook, 2020.

By 2018, the United States alone could face a shortage of 140,000 to 190,000 people with deep analytical skills as well as 1.5 million managers and analysts with the know use the analysis of big data to make effective decisions.

McKinsey CompanyBig dat The Next Frontier for Innovation, Competition, and Productivity, 2011.

These rates are substantially lower than those of the traditional, full-time residential programs yet provide access to the same high-quality BU education.

Comprehensive financial assistance services are available at MET, including scholarships, graduate loans, and payment plans. There is no cost to apply for financial assistance, and you may qualify for a student loan regardless of your income.

Formerly titled CS 544 Foundations of Analytics with R. The goal of this course is to provide students with the mathematical and practical background required in the field of data analytics. Probability and statistics concepts will be reviewed as well as the R tool for statistical computing and graphics. Different types of data are investigated along with data summarization techniques and plotting. Data populations using discrete, continuous, and multivariate distributions are explored. Errors during measurements and computations are analyzed in the course. Confidence intervals and hypothesis testing topics are also examined. The concepts covered in the course are demonstrated using R. Laboratory Course. [4 credits].

Formerly titled CS 555 Data Analysis and Visualization with R. This course provides an of the statistical tools most commonly used to process, analyze, and visualize data. Topics include simple linear regression, multiple regression, logistic regression, analysis of variance, and survival analysis. These topics are explored using the statistical package R, with a focus on understanding use and interpret output from this software as well as visualize results. In each topic area, the methodology, including underlying assumptions and the mechanics of how it all works along with appropriate interpretation of the results, are discussed. Concepts are presented in context of real world examples. [4 credits].

Formerly titled CS 688 Web Analytics and Mining. The Web Mining and Graph Analytics course covers the areas of web mining, machine learning fundamentals, text mining, clustering, and graph analytics. This includes learning fundamentals of machine learning algorithms, evaluate algorithm performance, feature engineering, content extraction, sentiment analysis, distance metrics, fundamentals of clustering algorithms, evaluate clustering performance, and fundamentals of graph analysis algorithms. Laboratory Course. [4 credits].

The goal of this course is to study basic concepts and techniques of data mining. The topics include data preparation, classification, performance evaluation, association rule mining, and clustering. We will discuss basic data mining algorithms in the class and students will practice data mining techniques using data mining software. Students will use Weka and JMP Pro. Prere CS 546 and either CS 579 or CS 669. [4 credits].

Completed Application for Graduate Admission and application fee.

Applicants are not required to have a degree in computer science for entry to a program within the Computer Science. Upon review of your application, the department will determine if the completion of prerequisite coursework will be required, based on your academic and professional background. The following prerequisite courses may be required:.

The first part of the course introduces the mathematical prerequisites for understanding probability and statistics. Topics include combinatorial mathematics, functions, and the fundamentals of differentiation and integration. The second part of the course concentrates on the study of elementary probability theory, discrete and continuous distributions. Students who have taken MET MA 113 as well as MET MA 123 will also not be allowed to count MET CS 546 towards degree requirements. [4 credits].

A maximum of two graduate-level courses (8 credits) taken at Metropolitan College before acceptance into the program may be applied towards the certificate.

Someone will be in touch to answer any questions you may have the program and detail the next steps in earning your degree. You can also start your application or register for a course at Metropolitan College.

Learn Create Business Value Through Data Analytics.

Professionals with training and expertise in business analytics know take a data-driven approach to find solutions in every industry. Ranked as a top five in the U.S. for business analytics, the Georgia Tech Scheller College of Business offers a 100% online Business Analytics Graduate Certificate that teaches professionals prepare, analyze, and interpret data to move business into the future.

Designed for professionals in any industry, the Business Analytics Graduate Certificate is a flexible, online graduate certificate program that allows you to set your own pace. Balance work, life, and other commitments while earning an in-demand credential that you can apply toward a master degree. Advance your career with our online Business Analytics Certificate.

The certificate consists of four courses taken one course at a time for seven weeks, allowing you to earn your certification in two semesters. You will receive a letter grade for each course that will be reflected on your Georgia Tech academic transcript.

Business Analytics for Managers (MGT 6213), 3 credits Sridhar Narasimhan, Gregory J.

Analysis of Unstructured Data (MGT 88 ), 3 creditsRobbie Moon, Thomas R.

See course previews, learning objectives, sample topics, and optional course preparations for the certificate.

Gain knowledge and skills to advance or pivot your career in a rapidly evolving global business environment that has an increasing demand for data-savvy leaders.

analyze data to find solutions that will improve business intelligence and decision-making.

Visually communicating business data to analyze long-term predictions.

Gaining insight and best practices to use data analytics tools to organize, structure, and receive value from unstructured data.

94% of enterprises say data and analytics are important to their business growth (MicroStrategy). In fact, the big data and business analytics market is projected to reach $684 billion by 2030 (Valuates).

Whether it as a business analyst, consultant, project manager, or researcher, this certificate is ideal for professionals in all industries who work with data or plan to pivot into such a role. Your successful completion of the master-level credits in the program will signify your dedication to learning and growth to current and future employers.

Upon completion of the certificate, students can apply select credits earned toward a Georgia Tech Full-time MBA, Evening MBA, or Online M.S. in Analytics. Students can apply nine credit hours (three courses) towards a Full-time or Evening MBA.

Note: Currently enrolled Georgia Tech graduate students are not eligible to apply.

A select number of merit-based scholarships are available for the Business Analytics Graduate Certificate and can fund a portion of tuition for the program. These scholarships are for applicants with strong previous academic performance, professional experience, and or leadership potential. Applicants who apply by the standard admissions deadline receive priority consideration.

Eligible Georgia Tech employees may apply for Tuition Assistance Program (TAP) funding.

The coursework covers the full analytics cycle, allowing professionals to maximize insights and make informed decisions.

As data continues to evolve, the reliance the global business world has on analytics will only grow. Become a part of the evolution and make a difference in the future of business by earning your certification.

The Graduate Certificate in Data Analytics provides foundational knowledge in data analytics, including data management, machine learning, data mining, statistics, and visualizing and communicating data.

The interdisciplinary Graduate Certificate in Data Analytics is offered through a collaboration between the Khoury College of Computer Sciences, the College of Social Sciences and Humanities, and the D'A -McKim School of Business.

Data analytics, including data management, machine learning, data mining, statistics, and visualizing and communicating data, that can be applied to data-driven decision making in any discipline.

Provides a path to continue your education and pursue a Masters of Science in the following programs:.

Examine how data is collected, stored, and retrieved how data can be extracted from large, structured unstructured datasets analyze information using data mining and machine learning and use information design and visual analytics to analyze and present results.

From finding cures for cancer to plotting efficient service delivery routes, from predicting crime hot spots in our cities to pinpointing marketing efforts, industries need individuals with the curiosity, creativity, knowledge, and skills to analyze and model complex datasets and draw actionable insights. The rapid evolution in the way businesses, research institutions, and governments produce, process, and analyze data has created a shortage of talent.

According to Forbes, by 2020, data science analytics job openings are projected to grow by 15%.

Get advice on the program that right for you.

Finance Your Education Eligible students may be considered for financial aid.

Reference letter from an individual who knows your academic or professional record and or potential for graduate study.

Course credits can be applied to Northeastern MS in Bioinformatics, MS in Health Informatics, MS in Urban Informatics, and MS in Applied Quantitative Methods and Social Analysis.

The amount of data being produced globally will reach 44 zettabytes by 2020 (IDC).

Northeastern signature experiential learning model combines academics with professional practice to help students acquire relevant, real-world skills.

The Graduate Certificate in Data Analytics builds on Northeastern expertise in experiential learning, connecting students to our Global Network of than 3,350+ employer partners and 255,000 alumni.

Graduates of the Data Analytics certificate program are well equipped to analyze, decipher and translate large amounts of data and will also learn communicate the results of data analysis to a non-expert audience.

Data Analyst vs.