Online Certificate Programs in Data Science

Harvard's Data Science Certificate program prepares students with the necessary knowledge base and useful skills to tackle real-world data analysis challenges. The program covers concepts such as probability, inference, regression, and machine learning and helps students to develop an essential skill set that includes R programming, data wrangling with dplyr, data visualization with ggplot2, file organization with Unix/Linux, version control with git and GitHub, and reproducible document preparation with RStudio.

As the business world evolves, professionals in finance roles need to continuously reskill and upskill to stay on top of the latest industry tools, trends, and terminology. The constant flux of applications, programs, and technologies demands a diverse array of data science professionals with evolving knowledge and up-to-date toolkits.

Data science, an interdisciplinary field that includes mathematics, statistics, computer science, and other science skills, seeks to extract actionable insights from the large and ever-growing volumes of data that organizations currently generate. Data science practitioners prepare data for analysis and processing, perform advanced data analysis, and present results to reveal patterns and enable stakeholders to draw informed conclusions.

Our ten-month Data Science certificate is designed to provide solid theoretical frameworks in key areas of expertise within the field. Taught by seasoned industry experts, the program will guide participants through core principles, tools, and industry trends, culminating in a deep dive into artificial intelligence and machine learning.

This course provides you with a technical of interpret, manage, and report data. You will learn the history and principles of database systems and be able to source, prepare, and leverage historical data.

At its core, this course is project-based and integrates practical application as well as the opportunity to create and run your own Python projects.

Our Statistics for Data Science online program will provide you with the essential tools and analytical methods to manage data sets and extract meaningful insights from them.

Acquire breadth of knowledge in predictive analytics, the Python programming language, and machine learning to confidently consider and resolve issues through the use of big data.

This online program will provide you with the techniques and tools you need to turn insights into compelling narratives. Over eight weeks, you will learn the art of conveying data in a meaningful way to support stakeholder decision-making and drive action.

After Completing the Program You Will Be Able To:.

Use scripting languages, including Python, to process, visualize, and analyze large data sets and implement machine learning solutions.

Ashish Pujari is a leader in data and analytics, IT strategy, and technology consulting. Before joining GLG, Pujari served as an AVP of Analytics Architecture for CNA Insurance, where he was responsible for insurance analytics platforms and data strategy. Pujari specializes in big-data analytics, cloud computing, algorithm development, application and database design, decision management, and visualization technologies. He has been involved in technology consulting in finance, banking, insurance, and communications domains for clients in Europe, North America, and Asia.

Brian Craft is a seasoned data scientist with years of industry experience.

Movement and exertion, provide consultation regarding load management, and optimize in-game performance. Bernstein enjoys working in the startup environment and engages in analytical modeling, reporting and visualization, and product development. He earned a BA from Lafayette College in creative writing and economics in 2012 and graduated from the University of Chicago Master of Science in Analytics program in 2019. In addition to sports, Bernstein has a passion for teaching and education and has previously worked with the Princeton Review and as a TA for both the MS Analytics program and the Booth School of Business.

Shree Bharadwaj, MScData Engineering and Strategic Data Storytelling.

Shree Bharadwaj works at West Monroe, a management consulting company. As a M A Data and AI Practice Lead, he advises private equity and venture capital firms and C-level executives on value creation, post-close synergies, and data and analytics (BI AI) strategies focused on business outcomes. Bharadwaj was elected to the Global Standards Architecture Board at GS1, where he worked with global industry leaders to develop standards, road maps, and governance and compliance requirements relating to food services, healthcare, retail, chain, and CPG FMCG verticals.

Dr. Pamuksuz is an AI researcher with expertise in data science, business analytics, applied mathematics, and machine deep learning. He has been an invited speaker, delivering keynote sessions in academic and professional seminars in Europe, Asia, and the US, for application and development of data analytics in the areas of management, finance, strategy, healthcare, e-commerce, and quantitative marketing. Pamuksuz has served as a senior data scientist at State Farm as well as W.W. Grainger. He co-founded Inference Analytics in 2018.

Propelled by rising data volume and the growing adoption of sophisticated data management tools, the data science market platform is expected to grow 26.9% by 2027. Data engineering, statistics, AI and machine learning (ML), and Python coding are each fast-growing fields with an increased demand for qualified professionals. Statisticians will be % employable by 2031. Positions in data engineering are expected to grow 50% year-over-year.

Is the average annual base salary for a data scientist in the United States.

Is the expected CAGR of the global data science platform size from 2020 to 2027.

The University of Chicago Approach to Online Learning-img-CEU.

The University of Chicago Approach to Online Learning.

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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The Professional Certificate in Applied Data Science from the Thayer School of Engineering at Dartmouth positions professionals to take full advantage of this trend. Upon completing this program, students will be ready to take advantage of new opportunities and face new challenges in the field of Data Science.

This program is for the career Launchers, with a background in STEM, wanting to enter an exciting, evolving field with a foundation that ensures flexibility as new platforms and technologies emerge. Titles may include business analyst, financial analyst, software engineer, data analyst, and associates; Career Builders, aiming to build on their existing skills in data science in a technical capacity. Titles may include technical roles across fields and industries; Career Switchers, moving from a non-technical job function, seeking new ways to expand opportunities, engage in continuous learning, and increase their earning potential in a high-demand field. Titles may include non-technical professionals at the junior management or early executive level in a business function such as general management, sales, marketing, administration or human resources banking & financial services, consulting, operations, and information technology. Additional data analysis and technical problem-solving education may be required to be eligible for analyst roles.

In just six months, you will become skilled in the fundamentals of data science, mastering critical concepts using Python. By receiving one-on-one support from a mentor who is an expert in the industry, you will be prepared to accelerate your career as a data scientist.

The Certificate in Applied Data Science introduces the tools, methods, and conceptual approaches used to support modern data analysis and decision making in professional and applied research settings. as well as best utilize the new tools and techniques for data analytics, including machine learning and data mining.

The need for expertise in data analytics continues to grow in all organizations and disciplines. are not sufficient for this new, unstructured, and often user-generated data.

The Certificate in Applied Data Science provides hands-on practice working with unstructured and user-provided data to identify new ways to inform decision making. The curriculum educates professionals and scholars to be intelligent consumers of data science techniques in a variety of domains, with a foundation of skills for applying these techniques in their own professional spaces.

Students are required to complete all of their certificate course work prior to enrolling in Capstone in their final semester.

The certificate requires three 3-unit courses that students must complete with a letter grade of B or higher.

A course in analytical methods and techniques of data science:.

Be registered and enrolled in a graduate degree program at UC Berkeley.

Standard MICS tuition fees will apply for the additional courses required for the Graduate Certificate in Applied Data Science, and we anticipate that students will need to be enrolled for six semesters in order to complete the required units to earn both their MICS degree and the Graduate Certificate in Applied Data Science.

All currently enrolled MICS students who are interested in pursuing the Graduate Certificate in Applied Data Science must apply and be admitted. Applications are open three times a year for MICS students.

Whether you aspire to pursue a new career in the booming data science field or want to upskill your knowledge and gain a competitive edge, the online Data Science Certificate program at UM-Flint College of Innovation Technology can help you achieve your goals!

The Data Science online graduate certificate empowers you to investigate, manage, analyze, and visualize data to drive business decisions. You can learn R, SQL, and Python, leverage the latest technologies in data computation, and build hands-on experience in solving business problems with big data.

Designed for working professionals, the Data Science certificate program is delivered online through Cyber-classrooms at your fingertips. With our flexible online learning format, the certificate program allows you to work from anywhere with computer access. You can access the program content and course recording through our online Mediasite viewer.

Courses for Students without CS Background.

If you are a beginner in data science and have no previous technical experience, you can take the Fast Track option. It helps you quickly embrace the core competencies of networking, architecture, algorithms, databases, and programming. All of the Fast Track pre-requisite courses are taught online.

The graduate certificate in Data Science at UM-Flint provides a highly concentrated set of classes that deliver technical training in data warehousing, security, business intelligence, information storage and retrieval, and data mining.

The technological world lives and depends on data. Whereas sophisticated use of data analytics used to be a competitive advantage, the employment of information scientists is now becoming an industry standard. Data mining, investigation, analysis, management, and forecasting are all crucial areas that industries must employ to remain competitive on a local and global scale.

Accordingly, the demand for competent data scientists is rapidly increasing. The Bureau of Labor Statistics estimates that the employment of data scientists will grow 36% through 2031, seven times faster than the average for all occupations. With this positive career outlook, the graduates of our online Data Science certificate program can kick-start their careers in many industries, such as consulting, financial services, healthcare, and technology.

If you are currently working in data science related roles, completing the certification can help you advance your career to the next level and increase your earning potential.

The median salary of Data Scientists is $100,910 per year.

to the Data Science Certificate Program.

For International students official transcripts must be submitted for credential review to an approved credentialing agency. You must transcripts for a course-by-course evaluation. Once the evaluation is completed, the transcript course-by-course evaluation report must be submitted to the University of Michigan-Flint. This document must be submitted directly from the transcript evaluation company.

Statement of Purpose describing your objectives for graduate study and reasons for selecting this program.

International Students: Submit additional documentation. This program is a certificate program. Students admitted to this program are not eligible to obtain a student visa (F visa).

The Data Science Certificate program admits new students on a rolling basis. Please application by the following deadlines. You should be notified of admission within two to four weeks.

International students must apply before May 1 for Fall entry and September 1 for Winter entry.

The University of Michigan-Flint takes education affordability seriously. Our certificate program cost is as low as $707.75 per credit (2022-23 tuition rate). For the 12-credit Data Science certificate, the estimated total tuition is $8,493.

Online Data Science Certificate Program!

Learn to leverage the power of big data and take the next step to pursue your career success in data science!

Fall: May 13 Jun 3 Jun 24 Jul 15 Spring: tbd Summer: tbd.

The Certificate in Data Science prepares STEM students to analyze and understand the world around them using statistics, data visualization, and machine learning. The certificate is jointly administered by the Computer Science and the Electrical and Computer Engineering.

The online certificate program in Data Science is intended for students who possess a Bachelor of Science in a Science, Technology, Engineering, or Mathematics (STEM) field, but who lack sufficient background in data science to be admitted to the Master of Science in Data Science or wish to receive some training in the discipline.

Upon successful completion of certificate requirements with grades of B or better, students may either receive the certificate or apply for admission to the Master of Science in Data Science program. If accepted to the master program, all graduate credits earned toward the certificate with a grade of B or better may be transferred to apply toward master degree requirements.

The certificate prepares students for employment in emerging field of data science and prepares students for advanced graduate study. Graduates of the program apply their training to business applications or they may provide data-driven insights that assist professionals in disciplines such as medicine, architecture, education, and .

We recognize that attending graduate school involves a significant financial investment. Our team is here to answer your questions tuition rates and scholarship opportunities.

Data science, software systems engineering, performance analysis, system, network, and data management.

Research Areas of Interest:data science, software systems engineering, performance analysis, system, network, and data management.

Data science, statistical signal processing, inverse problems, compressed sensing, information theory, convex optimization, machine learning, algorithms for geophysical signal processing, compressed sensing architectures and evaluation, video and image data acquisition and processing.

Research Areas of Interest:data science, statistical signal processing, inverse problems, compressed sensing, information theory, convex optimization, machine learning, algorithms for geophysical signal processing, compressed sensing architectures and evaluation, video and image data acquisition and processing.

Data science, graph algorithms, distributed algorithms, approximate routing, classification and clustering for high-dimensional data, coloring and its generalizations, computational molecular biology.

Graduate Biomedical Sciences Member, Genetics, Molecular and Cellular Biology.

Research Areas of Interest:data science, graph algorithms, distributed algorithms, approximate routing, classification and clustering for high-dimensional data, coloring and its generalizations, computational molecular biology.

Data Science, Machine Learning, Bayesian Methods, Deep Learning, Graph.

Research Areas of Interest:Data Science, Machine Learning, Bayesian Methods, Deep Learning, Graph.

Data science, algorithms for analysis of biological networks, gene and pathway regulation in human development, algorithms for precision medicine, computational approaches to pharmacogenomics and drug discovery or repositioning.

Research Areas of Interest:data science, algorithms for analysis of biological networks, gene and pathway regulation in human development, algorithms for precision medicine, computational approaches to pharmacogenomics and drug discovery or repositioning.

Fall: May 13 Jun 3 Jun 2. Spring: tbd Summer: tbd.

Online Graduate Certificate in Data Science for the Chemical Industry.

Chemicals, energy and manufacturing companies around the globe are racing to take advantage of the big data trends in what has become known as Industry 4.0. A key need in this sector is professionals with strong domain knowledge in chemical engineering who are skilled in the tools of data science and can lead data-driven efforts in their companies.

A graduate certificate requires 12 credit hours of coursework, typically 4 3-credit hour courses. For comparison, a Master degree requires 36 credit hours of coursework. Credit from a graduate certificate can be used towards a future Master degree at Georgia Tech.

All students will complete two core courses that will focus on foundational data science methods with a strong emphasis on applications in the chemical process industry.

Most students will complete one course per semester, so the certificate will take 4 semesters to complete.

Tuition and fees will be charged using Georgia Tech standard rate for Professional Education courses. For the academic year, the total tuition and fees for a 3 unit course are $3,611. Although we note that these tuition rates are adjusted incrementally each year, with this cost the complete 12 unit graduate certificate can be completed for $15,000.

Map of Georgia Tech School of Chemical Biomolecular Engineering.

The online Graduate Certificate in Data Science is created to help students quickly and conveniently acquire new skills in topics such as data analysis, cloud computing, health and medicine, statistics, and data mining.

The certificate is completed 100% online, and can be earned in as few as two semesters (or in as many as four semesters)—giving students the flexibility to build a schedule of courses that suits their lifestyle.

Earning this certificate requires the completion of 12 graduate-level credit hours. Students can choose any four courses from the residential or online M.S. in Data Science program.

Delivered online. our course formats.

Offered jointly by the Departments of Computer Science and Statistics, the Graduate Certificate in Data Science Foundations is an online program intended primarily for working professionals. Four courses (12 credit hours) are required. At least one course must be in computer science and one course in statistics. Students must take at least two core courses and at least one elective course. By enrolling in one or two courses per semester, students can complete the program in two to four semesters.

NDS studentsseekingspring enrollment in anEngineering onlineprogram and or course, please NDS applicationno later thanWednesday,January 4, 2023 to ensure your application materials are received on time. Submitting your application afterJanuary 4, may result in not being admitted or enrolled in classes for theSpring 2023semester.

Hold a B.S. degree in Computer Science or Statistics from an accredited four-year college or university with an overall (or major) GPA of at least 3.0 on a 4-point scale .

Hold a B.S. degree in the sciences or engineering from an accredited four-year college or university with an overall (or major) GPA of at least 3.0 on a 4-point scale AND have relevant experience in Computer Science and or Statistics .

Be a degree-seeking student in good standing in an NC State University graduate program in the sciences or engineering.

International applicants who are not degree-seeking students in an NC State University graduate program must provide valid TOEFL or IELTS scores.

The Graduate Certificate in Data Science Foundations provides the expertise in math, statistics, programming, communication and problem-solving required to work as a data scientist. This highly technical, specialized field is in demand. Data is collected by a growing number of stakeholders and is used for a multitude of purposes, ranging from marketing to risk analysis. Data scientists translate data into usable statistics that are then used for forecasting, planning and preparation in a variety of fields and settings. As the collection and use of data increases, the need for data scientists who can interpret data also grows.

In the Health Data Science certificate program, students will build their skill set in analytics, data science, and artificial intelligence while learning how to optimize data to support evidence- and value-based results.

Using real, hands-on data science projects, students will have access to de-identified data from a curated health data repository built with industry partners.