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Best Accredited Universities for Online Masters certificate program in Business Analytics , Data Analytics
48 universities offer graduate certificate online program in Business Analytics , Data Analytics
Check out our exclusive data on scholarships and financial aid offered by universities for the Master's program in Business Analytics , Data Analytics. There are also 700+ scholarships available from accredited sources with the amount ranging from $1000-$22k.
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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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.
153 universities offer the Master's program in Business Analytics , Data Analytics.
Which one best suits your need?
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 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.
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.
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.
Certificate in Data Management and Statistical Analysis (Online).
The Certificate in Data Management and Statistical Analysis will provide students in the social and behavioral sciences with the required quantitative computational knowledge and skills and prepare them for a graduate school or for a career as a data analyst or a program evaluator in social, behavioral, and health science areas with rigorous training for solving real-world problems.
Admission of a student to the University of Miami for any semester does not imply that such student will be re-enrolled in any succeeding academic semesters.
Follow the specific instructions of the selected evaluation service to request a course-by-course evaluation with degree equivalency and grade point average (gpa) calculation.
All online international students who have been admitted to an online program at the University of Miami are not eligible for an F-1 visa.
The University will consider candidates with these minimum TOEFL scores however, TOEFL score requirements may vary by program:.
Students will input their recommender information directly into the online application which will generate an email with a unique link sent directly to the recommender. Letters of Recommendation received in a Word document, body of an email, or any other format will not be accepted.
Students receive notification typically within 48 business hours after the University has received a complete application (including other required documentation) that the student has been Conditionally Admitted. The notification of Conditional Admission will also address the requirements the student will have to satisfy in order to be officially admitted.
Students MUST pay their tuition bill or have accepted their Financial Aid Award, no later than by the payment due date. Once students are fully admitted and have paid their non-refundable enrollment deposit, and successfully passed the Student Readiness Orientation (SRO), they may be eligible to receive financial aid within the same term, provided the University has granted the student full admission during the same academic year. Students may start their course and continue through the term as long as they have been awarded Financial Aid, and have accepted their Financial Aid award no later than the first day of class. Student Financial Aid funds will not be disbursed until the student has participated in their first course and all official admissions documents and all required Financial Aid documents have been received. Students are responsible for checking CaneLink to ensure that their funding is ready for disbursement.
Students will not be registered for the next term until their current balance is paid in full. Students should refer to the Academic Calendar for important deadlines regarding Financial Aid Application due dates. Students may submit their FAFSA after the Financial Aid application priority consideration due date but may have to use an alternative form of payment if their Financial Aid is not processed by the required payment deadlines.
Students should review the Monthly Payment Plan (MPP) section for guidance on setting up a monthly payment plan, as well as the Payment Policies section for payment options and consequences for non-payment. Monthly payment plans are available for students at the beginning of each term. Fall and Spring MPP consist of four (4) payments however, Summer MPP consist of three (3) payment options and is only available to online students at this time. UM Employees are not eligible for Monthly Payment Plans at this time.
Students should review the Transcripts section for official transcripts deadlines and consequences if the University has not received all official transcripts. Students should also review the UOnline Academic Calendar for official transcript deadlines.
Students can also view the admissions decision the online application portal found here.
Students will have fourteen (14) calendar days to accept their offer of admission by paying their non-refundable $300 Enrollment Deposit. Students who apply late will forfeit the full (14) calendar day acceptance policy and will be required to accept their offer no later than the last official Deposit Deadline as set on the UOnline Academic Calendar, which may be less than (14) calendar days. Students should refer to their official Admissions letter for their exact deposit deadline. If a student chooses to reapply, they will need to wait one (1) additional term before reapplying. Deferrals are not permitted unless the student has been approved for a Deferral Exception.
In extenuating circumstances, students may choose to apply for a Deferral Exception. Students who choose not to accept their offer of admission must apply for a Deferral Exception no later than their Deposit Deadline as specified by the Admissions letter, or will be withdrawn and will need to wait one (1) additional term before reapplying. Deferral Exception Requests are only eligible for the next immediate term. Deferral requests submitted after the deadline will not be reviewed. Any student who has already been withdrawn due to missing their deposit deadline, failing their SRO requirement, or by voluntarily submitting a Withdrawal request will not be eligible to defer and must reapply.
If a student chooses to withdraw before the census date or is administratively withdrawn for any reason, the student must sit out one (1) additional term before reapplying to the program.
There are a few situations in which students have to reapply to a program. Students will have to reapply to a program if:.
· A student requests to change to a different program.
All students who are readmitted will need to complete the Student Readiness Orientation (SRO) by their deadline, regardless of prior completion, and adhere to all admissions deadlines as set forth in the Academic Calendar.
Students may be eligible to reapply once they have met the admission requirements or choose to apply to a new program.
Please ensure that the locator code is included in the address. Transcripts may not be received if address is missing the locator code or sent to another address on campus.
The University must receive official transcripts for all institutions attended, as entered on their online application, before any student can be considered fully admitted into the University.
Students should refer to the Academic Calendar for important due dates.
If a student was Conditionally Admitted into a program with unofficial test scores and is required to submit official GRE, GMAT or TOEFL official test scores, the University MUST receive their official test scores by the the date listed on the UOnline Academic Calendar. Students should refer to the Academic Calendar for important due dates.
GMAT CODES: School of Business UOnline Finance Accounting Certificate: 7NV-S1-23 School of Business UOnline Master of Finance: 7NV-S1-35 School of Business UOnline Master of Professional Accounting: 7NV-S1-53 School of Business UOnline Professional MB 7NV-S1-01 College of Arts Sciences UOnline Master of Public Administration: 7NV-HM-66 School of Education UOnline Master EdD of Applied Learning Sciences: 7NV-HM-66.
· A student will be removed from their current course and next course.
· A student may owe a tuition balance from being withdrawn and must have their tuition bill paid in full before being eligible for reinstatement.
· Due no later than the date listed on the academic calendar.
· Transferrable to a new UOnline program: if a student applies to a new UOnline program while the existing Offer of Admission is still valid, the student will not have to pay the deposit again.
Students will demonstrate adequate mastery in advanced quantitative computational analyses.
The UConn School of Business now offers the Advanced Business Certificate in Accounting Analytics online. With this innovative professional certificate, students will develop a skillset which enables them to operate with an analytics mindset throughout all accounting fields including audit, tax, financial reporting, forensics and consulting.
The Advanced Business Certificate in Accounting Analytics, offered in a flexible, online format which helps students to develop a data mindset, preparing them to interact with data scientists from an accountant’s perspective.
The program enables students to develop the skills necessary to apply modern analytical methods yielding descriptive, diagnostic, predictive, and prescriptive accounting information used for business intelligence. It provides hands-on experience with audit, tax, and financial analytical software such as Alteryx, ACL, Excel, SAS, CRSP, Compustat, and such visualization software as Tableau and Microsoft Power BI.
Organizations in all industries are generating large amounts of data, every day, and are looking for business professionals who can analyze that data and help improve business efficiency, financial performance, and make better strategic decisions. You will learn retrieve and manipulate data, and then visualize and analyze using the latest industry tools.
If you are considering applying to the Isenberg Online MBA or the MS in Business Analytics (MSBA), course credits will transfer toward your degree. For the MSBA, the core course credits will transfer toward your degree.
Core Courses (9 credits 3 credits each):.
SCH-MGMT 601 Data Management for Business Leaders (formerly SCH-MGMT 710).
You may begin the program in fall, spring or summer. Applications are reviewed on a rolling basis.
You may begin the program in fall, spring or summer. Applications are reviewed on a rolling basis.
Personal statement (a brief 1 page statement describing your goals and why you want to pursue the Certificate).
Certificate classes are $925 per credit and total tuition of the 15-credit certificate is $13,875. Books, supplies, and registration fee are additional.
We encourage you to speak to your employer tuition reimbursement if there is a tuition assistance program available. Enrolling in higher education courses increases your value to your employer, and as a result, can help increase your job stability and career trajectory at your company.
UMass Amherst accepts students from all 50 states into online programs and classes. California does not participate in the Agreement but allows all public institutions to offer distance education to its residents.
What kind of scholarships are available for Graduate Programs in Business Analytics , Data Analytics?
We have 209 scholarships awarding up to $2,025,183 for Masters program in for Business Analytics , Data Analytics, targeting diverse candidates and not restricted to state or school-based programs.
|Changemaker Scholarship for Masters Programs
|$2,000 PixelPlex Bi-Annual STEM Scholarship
|Rick Guggolz Memorial Scholarship
|The Kay-Grant Group Scholarships
Find scholarships and financial aid for Business Analytics , Data Analytics graduate programs
How can I compare the Business Analytics , Data Analytics Graduate Programs?
Compare the GRE score requirements, admission details, credit requirements and tuition for the Master's Program, from 153 universities offering Graduate Online Certificate Programs in Business Analytics , Data Analytics. Compare Graduate Online Certificate Programs in Business Analytics , Data Analytics
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