Data Science at Scale - Capstone Project

Start Date: 05/19/2019

Course Type: Common Course

Course Link: https://www.coursera.org/learn/datasci-capstone

Explore 1600+ online courses from top universities. Join Coursera today to learn data science, programming, business strategy, and more.

About Course

In the capstone, students will engage on a real world project requiring them to apply skills from the entire data science pipeline: preparing, organizing, and transforming data, constructing a model, and evaluating results. Through a collaboration with Coursolve, each Capstone project is associated with partner stakeholders who have a vested interest in your results and are eager to deploy them in practice. These projects will not be straightforward and the outcome is not prescribed -- you will need to tolerate ambiguity and negative results! But we believe the experience will be rewarding and will better prepare you for data science projects in practice.

Deep Learning Specialization on Coursera

Course Introduction

In the capstone, students will engage on a real world project requiring them to apply skills from th

Course Tag

Python Programming R Programming Data Analysis Data Wrangling Statistics

Related Wiki Topic

Article Example
Data science In 2013, the IEEE Task Force on Data Science and Advanced Analytics was launched, and the first international conference: IEEE International Conference on Data Science and Advanced Analytics was launched in 2014. In 2014, the American Statistical Association section on Statistical Learning and Data Mining renamed its journal to "Statistical Analysis and Data Mining: The ASA Data Science Journal" and in 2016 changed its section name to "Statistical Learning and Data Science". In 2015, the International Journal on Data Science and Analytics was launched by Springer to publish original work on data science and big data analytics. 2013 the first "European Conference on Data Analysis (ECDA)" was organised in Luxembourg establishing the European Association for Data Science (EuADS) in August 2015. In September 2015 the Gesellschaft für Klassifikation (GfKl) added to the name of the Society "Data Science Society" at the third ECDA conference at the University of Essex, Colchester, UK.
Science project A science project is an educational activity for students involving experiments or construction of models in one of the science disciplines. Students may present their science project at a science fair, so they may also call it a science fair project. Science projects may be classified into four main types. Science projects are done by students worldwide.
Capstone (cryptography) Capstone is the name of a United States government long-term project to develop cryptography standards for public and government use. Capstone was authorized by the Computer Security Act of 1987 and was driven by the NIST and the NSA; the project began in 1993. The initiative involved four standard algorithms: a data encryption algorithm called Skipjack, along with the Clipper chip that included the Skipjack algorithm, a digital signature algorithm, DSA, a hash function, SHA-1, and a key exchange protocol. Capstone's first implementation was in the Fortezza PCMCIA card. All Capstone components were designed to provide 80-bit security.
Capstone course A capstone course, also known as capstone unit serves as the culminating and usually integrative experience of an educational program. A capstone course, unit, module or subject in the higher education context may also be referred to as a capstone experience, senior seminar (in the U.S.), or final year project or dissertation (more common in the U.K.).
Data science he initiated the modern, non-computer science, usage of the term "data science" and advocated that statistics be renamed data science and statisticians data scientists.
Capstone Program In 2006, the FAA integrated the Alaskan Capstone project into the national Automatic Dependent Surveillance – Broadcast (ADS–B) program.
Project NEXUS McGinnis, J.R., Marbach-Ad, Pease, R., Dai, A, & Dantley, S. (2008). Landscape Baseline Data in a Large Scale Science Teacher Preparation Model : (Project NEXUS). In the 2008 Proceedings of the National Association for Research in Science Teaching (27 pages).
Data science Turing award winner Jim Gray imagined data science as a "fourth paradigm" of science (empirical, theoretical, computational and now data-driven) and asserted that "everything about science is changing because of the impact of information technology" and the data deluge.
Data science Although use of the term "data science" has exploded in business environments, many academics and journalists see no distinction between data science and statistics. Writing in Forbes, Gil Press argues that data science is a buzzword without a clear definition and has simply replaced “business analytics” in contexts such as graduate degree programs. In the question-and-answer section of his keynote address at the Joint Statistical Meetings of American Statistical Association, noted applied statistician Nate Silver said, “I think data-scientist is a sexed up term for a statistician...Statistics is a branch of science. Data scientist is slightly redundant in some way and people shouldn’t berate the term statistician.”
Data science Data science, also known as data-driven science, is an interdisciplinary field about scientific methods, processes and systems to extract knowledge or insights from data in various forms, either structured or unstructured, similar to Knowledge Discovery in Databases (KDD).
Data science In November 1997, C.F. Jeff Wu gave the inaugural lecture entitled "Statistics = Data Science?" for his appointment to the H. C. Carver Professorship at the University of Michigan.
Genomics data sharing There are a number of genomic data resources already in existence and some larger scale projects planned in the next 3 to 5 years. Many of the existing projects are not publicly available but only available through request for academics or researchers. Examples of current genomics projects include People of the British Isles and the International HapMap project. Some larger scale project are being developed by governments prospecting that large genomic databases will be valuable resources for health science and pharmaceuticals. Such large scale projects are planned in the UK (100 thousand genomes project) and The Qatar Genome Project. As these large scale projects progress issues of data sharing will become more poignant.
Data science The term "data science" (originally used interchangeably with "datalogy") has existed for over thirty years and was used initially as a substitute for computer science by Peter Naur in 1960. In 1974, Naur published "Concise Survey of Computer Methods", which freely used the term data science in its survey of the contemporary data processing methods that are used in a wide range of applications.
Capstone Publishers Capstone imprints contain fiction and nonfiction titles. Capstone also has digital products (myON, Capstone Interactive Library, CapstoneKids FactHound and PebbleGo) and services (CollectionWiz and Library Processing).
Data science Data science is a "concept to unify statistics, data analysis and their related methods" in order to "understand and analyze actual phenomena" with data.
Capstone Program To document the results, Capstone enlisted the help of the University of Alaska at Anchorage (UAA) and the MITRE Corporation. The university documented a baseline of current operations and tracked, evaluated and documented the improvements as they occurred. UAA also provided crew training on the Capstone avionics equipment. The initial results showed a 40 percent reduction in accidents had resulted from the Capstone Program.
Data science In April 2002, the International Council for Science: Committee on Data for Science and Technology (CODATA) started the "Data Science Journal", a publication focused on issues such as the description of data systems, their publication on the internet, applications and legal issues. Shortly thereafter, in January 2003, Columbia University began publishing "The Journal of Data Science", which provided a platform for all data workers to present their views and exchange ideas. The journal was largely devoted to the application of statistical methods and quantitative research. In 2005, The National Science Board published "Long-lived Digital Data Collections: Enabling Research and Education in the 21st Century" defining data scientists as "the information and computer scientists, database and software and programmers, disciplinary experts, curators and expert annotators, librarians, archivists, and others, who are crucial to the successful management of a digital data collection" whose primary activity is to "conduct creative inquiry and analysis."
Capstone Program During FY 1999, the Alaskan Region's "Capstone" Program tied together three of the nine principal elements identified in the "Joint Government/Industry Roadmap for Free Flight Operational Enhancements" with two safety initiatives from the March 1995 NTSB Alaska Safety Study. Operational enhancements included in Project Capstone are:
Small-scale project management This approach provides an effective and flexible framework for documenting a small-scale project using a PID which includes a Project Plan at its heart. This model offers a lightweight approach to documenting the project that is eminently scalable and does not add an unnecessary management burden to a small-scale project process. Consequently, the framework offers a set of tools that will enhance quality and mirrors the two phases associated with innovation and innovation implementation. It therefore seems ideal for managing small-scale projects in the creative industries and can be easily adapted to suit industry specific work-flows and terminology.
Small-scale project management Small-scale project management is the specific type of project management of small-scale projects. These projects are characterised by factors such as short duration; low person hours; small team; size of the budget and the balance between the time committed to delivering the project itself and the time committed to managing the project. They are otherwise unique, time delineated and require the delivery of a final output in the same way as large-scale projects.