Data Science Bootcamp - 12 week career prep | Metis New York City in-person instruction + ongoing career coaching + job placement support Winter Bootcamp: January 12, 2015 - April 3, 2015 Application Period Closed Spring bootcamp: April 6, 2015 - June 26, 2015 Early Application Deadline*: Monday, February 16 Final Application Deadline: Monday, March 9 Summer bootcamp: June 29, 2015 - September 18, 2015 Early Application Deadline*: Monday, May 11 Final Application Deadline: Monday, June 1 Contact UsApply Now The Bootcamp Experience Instructor and curriculum co-developer Irmak Sirer explores the qualities of a great data scientist, who should apply to the Metis Data Science Bootcamp, and more. The bootcamp experience is intense, but we aim to maximize learning while preventing burn-out. Online Pre-Work We’ll provide a Command Line Crash Course, tutorials to become familiar with Python, and a number of package installation tutorials (i.e., numpy, scipy, pandas, scikit.learn), as well as some preliminary statistics work. Project 1 (codename Benson)
JHU Data Science: More is More Today Jeff Leek, Brian Caffo, and I are launching 3 new courses on Coursera as part of the Johns Hopkins Data Science Specialization. These courses are I'm particularly excited about Reproducible Research, not just because I'm teaching it, but because I think it's essentially the first of its kind being offered in a massive open format. Given the rich discussions about reproducibility that have occurred over the past few years, I'm happy to finally be able to offer this course for free to a large audience. These courses are launching in addition to the first 3 courses in the sequence: The Data Scientist's Toolbox, R Programming, and Getting and Cleaning Data, which are also running this month in case you missed your chance in April. All told we have 6 of the 9 courses in the Specialization available as of today. Every course will be available every month, so don't worry about missing a session.
Animal Behaviour and Welfare About the Course Animals occupy a huge part of the planet and our lives, and although we rely on them for all aspects of our own wellbeing - food, draught power, medical advances, clothing, sport as well as pleasure, protection and comfort - often their quality of life is questionable. Appreciating how animal's experience the world they live in and the different behavioural needs of the various species we interact with, enables us to gain a better understanding of their welfare requirements, so that long term improvements to animal lives can be made. There are now more than 60 billion land animals raised for meat each year around the world, and with increasing human populations and a rise in meat consumption in many parts of the world, these figures are set to double by 2050. Added to this is a huge and growing world population of dogs and cats, many of whom are strays with associated health and welfare issues. Verified Certificates: Link Coursework to Your Identity Course Syllabus
All about the position: Data scientist Teradata Aster is seeking experienced individuals with demonstrated capability in the applied analytic and/or data science space. Proficiency in data manipulation, analytic algorithms, advanced math, and/or statistical modeling is required and application development experience a plus. We are looking for exceptional individuals to join our Professional Services team as an Analytic Data Scientists. This client-facing role will be engaged in the design and deployment of solutions. The key requirement is demonstrated capability in applied analytics, with MapReduce and database experience being preferred. “Big Data” analytics is happening right now at Teradata Aster. Develop expertise in areas outside of core comfort zone. - You will learn to - Utilize the Aster technology, combining MPP database and SQL MR functionality, to deliver innovative analytic solutions to our customers. Qualifications - Prior consulting experience
Questionnaire Design for Social Surveys About the Course This online course is called “Questionnaire Design for Social Surveys” and is based on a course created as part of the Joint Program in Survey Methodology and the Michigan Program in Survey Methodology at ISR. The original course - a core course in our MS program - is one of our most popular courses. It is offered every semester, and in every semester the course is over enrolled. Students with backgrounds in Journalism, Public Health, Criminology, Marketing, Communication, Sociology, Psychology, and Political Science are part of our regular audience. Why does the course have such broad appeal? But designing questions that get good answers is harder than it looks. The target audiences for this course are students and professionals from all fields of social science that are involved in primary data collection. Course Syllabus Click here to view the course syllabus. Recommended Background Course Format
stat545-ubc.github Copyright for Educators & Librarians Will I get a Statement of Accomplishment after completing this class? Yes. Students who successfully complete the class will receive a Statement of Accomplishment signed by the instructor. What resources will I need for this class? For this course, all you need is an Internet connection and the time to read, write, discuss, and think about our topic. Is this course only for Americans? Throughout the class we will be discussing the copyright law of the United States, and applying that law to the examples we discuss. What is the coolest thing I'll learn if I take this class? Our goal is to help you become a copyright maven, and the coolest thing you will get from this class, we hope, is confidence to do your jobs without undue fear about copyright. For example, is it copyright infringement to decorate a library floor with the complete text from published books? Can I get professional credit for this class? You can get a Statement of Accomplishment that will be signed by the instructors.
git/github guide All statistical/computational scientists should use git and github, but it can be hard to get started. I hope these pages help. (More blather below.) There are many resources for git and github; my aim is to provide the minimal guide to get started. I love git and github. I use both for keeping track of programming projects, papers, talks, and data analyses. I use git mostly from the command line on a Mac. I would like all of my statistical/computational collaborators to use git and github, so that we may collaborate more easily. Saunak Sen got me started with version control (using subversion), and Pjotr Prins got me to move from subversion to git, but don’t hold either responsible for any errors in my understanding. If you have suggestions for changes or improvements, submit an issue or fork the repo: Follow the instructions above, “Contribute to someone’s repository.”
Google Wants to Pay for Women to Learn How to Code Since tech companies like Google started releasing their diversity numbers it’s become quickly apparent that those numbers skew heavily towards white male employees. It’s a problem, but one Google acknowledges and wants to fix. They’ve announced a plan to pay for women and minorities to learn to code. The new plan was announced by Google X Vice President Megan Smith as part of Google I/O. It expands the recently introduced Made With Code initiative, a $50 million plan focused on getting school-aged girls to code. The new diversity push will pay for three months of continued education in coding for women and minorities in tech. Google is joining with Code School for this endeavor and will be offering thousands of free accounts to qualified and interested people. It’s good to see Google working to even things out. (via CNET, image via JD Lasica) Previously in
jtleek/datasharing Greek and Roman Mythology About the Course Myths are traditional stories that have endured over a long time. Some of them have to do with events of great importance, such as the founding of a nation. Others tell the stories of great heroes and heroines and their exploits and courage in the face of adversity. Still others are simple tales about otherwise unremarkable people who get into trouble or do some great deed. What are we to make of all these tales, and why do people seem to like to hear them? Course Syllabus Week 1: Homer, epic poetry, and Trojan legends Week 2: Heroes and suffering Week 3: This World and other ones Week 4: Identity and signs Week 5: Gods and humans Week 6: Religion and ritual Week 7: Justice Week 8: Unstable selves Week 9: Writing myth in history Week 10: From myths to mythology Recommended Background No special background is needed other than the willingness and ability to synthesize complex texts and theoretical material. In-course Textbooks Suggested Readings Greek Tragedies, Vol.
The Analytics Edge In the last decade, the amount of data available to organizations has reached unprecedented levels. Data is transforming business, social interactions, and the future of our society. In this course, you will learn how to use data and analytics to give an edge to your career and your life. We will examine real world examples of how analytics have been used to significantly improve a business or industry. These examples include Moneyball, eHarmony, the Framingham Heart Study, Twitter, IBM Watson, and Netflix. The class will consist of lecture videos, which are broken into small pieces, usually between 4 and 8 minutes each. What do I need to know about the topic prior to enrolling in the course? You only need to know basic mathematics. What software will be used in the course? We’ll be using two software programs in this class: R and LibreOffice.
Understanding Research Methods About the Course This course is about demystifying research and research methods. It will outline the fundamentals of doing research, aimed primarily, but not exclusively, at the postgraduate level. It places the student experience at the centre of our endeavours by engaging learners in a range of robust and challenging discussions and exercises befitting SOAS, University of London's status as a research-intensive university and its rich research heritage. This course will appeal to those of you who require an understanding of research approaches and skills, and importantly an ability to deploy them in your studies or in your professional lives. In particular, this course will aid those of you who have to conduct research as part of your postgraduate studies but do not perhaps have access to research methods courses, or for those of you who feel you would like additional support for self-improvement. Course Syllabus Week 1 & 2 – What is research? E-tivity 1: Asking the right question
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