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tsuomela : courses   36

Data School
"My name is Kevin Markham. I'm a data scientist and a teacher. Previously, I was the lead instructor for General Assembly's 11-week data science course in Washington, DC, as well an instructor fellow, responsible for training and mentoring new data science instructors. I have over 400 hours of classroom experience teaching data science in Python. Here are testimonials about my teaching."
weblog-individual  courses  statistics  data-science 
april 2017 by tsuomela
CS109 Data Science
"Learning from data in order to gain useful predictions and insights. This course introduces methods for five key facets of an investigation: data wrangling, cleaning, and sampling to get a suitable data set; data management to be able to access big data quickly and reliably; exploratory data analysis to generate hypotheses and intuition; prediction based on statistical methods such as regression and classification; and communication of results through visualization, stories, and interpretable summaries."
data-science  courses  open-education  school(Harvard) 
april 2017 by tsuomela
36-401, Modern Regression (2015)
"This course is an introduction to the real world of statistics and data analysis. We will explore real data sets, examine various models for the data, assess the validity of their assumptions, and determine which conclusions we can make (if any). Data analysis is a bit of an art; there may be several valid approaches. We will strongly emphasize the importance of critical thinking about the data and the question of interest. Our overall goal is to use a basic set of modeling tools to explore and analyze data and to present the results in a scientific report. "
r  statistics  courses 
november 2016 by tsuomela
Tools for Reproducible Research
"A minimal standard for data analysis and other scientific computations is that they be reproducible: that the code and data are assembled in a way so that another group can re-create all of the results (e.g., the figures in a paper). The importance of such reproducibility is now widely recognized, but it is still not so widely practiced as it should be, in large part because many computational scientists (and particularly statisticians) have not fully adopted the required tools for reproducible research. In this course, we will discuss general principles for reproducible research but will focus primarily on the use of relevant tools (particularly make, git, and knitr), with the goal that the students leave the course ready and willing to ensure that all aspects of their computational research (software, data analyses, papers, presentations, posters) are reproducible."
courses  open-courseware  research  reproducible  tools  r  statistics 
november 2016 by tsuomela
School of Data - Evidence is Power
"School of Data works to empower civil society organizations, journalists and citizens with the skills they need to use data effectively in their efforts to create more equitable and effective societies. There is huge potential to use data and open data to improve the lives of citizens around the world, especially in increasing the transparency and accountability of government. However, many of the groups who are closest to the problems – NGOs, journalists, and citizens – currently lack the skills to use data effectively — and even an awareness of the potential of data for their work. School of Data’s mission is to teach people how to gain powerful insights and create compelling stories using data."
data-curation  education  online  courses  learning 
october 2014 by tsuomela
Online Learning: The New Buzz Phrase Waiting for a Definition | The Transparent University
"From where I sit, the rock star projects in online learning — EdX, Udacity, Coursera, Khan Academy stuff (let’s call it “EdUCKA”) — seem to concentrate on scale and technology. What they prove, to me, is that today’s web and networks can handle rich media over a wide scale. That’s great to know, but it’s not, by definition, “online learning.” It’s a proof of concept for how to scale an authenticated LMS beyond a single institution. Although this is touted as “open online education” it’s not really open to the web. If you’re NOT enrolled in a course, if you don’t have an account, you can’t see in. If you ARE enrolled in a course, you can’t discuss the course with the larger world, unless someone from that pool of experts chooses to enroll as well. So, really, it’s not open education. It’s more like open enrollment in the Blackboard mothership (albeit, with a slicker interface and no pesky admissions process)."
education  mooc  online  courses  marketing  future  change 
july 2012 by tsuomela
Environmental Studies Capstone: An Early Sketch | Easily Distracted
"What I have in mind right now is that in the first half the students will investigate what I would call “big narratives” about the underlying causes of political and social debate about climate change, and build up what I’ve imagined as a series of flow charts built around each of these big narratives. Each week in the first part of the course, I want all of students to participate in a scavenger hunt looking for what they consider to be influential, successful or intriguing examples of a particular narrative: books, online discussions, organizations, political campaigns, advertisements, and so on. "
environment  courses  narrative  controversy  global-warming 
july 2011 by tsuomela
Stanford Copyright
Material on copyright cases surrounding course packs and fair-use. From the 1990s.
copyright  intellectual-property  information  fair-use  courses  courseware 
january 2011 by tsuomela
Open Learning Initiative Free Online Courses
Using intelligent tutoring systems, virtual laboratories, simulations, and frequent opportunities for assessment and feedback, OLI builds courses that are intended to enact instruction – or, more precisely, to enact the kind of dynamic, flexible, and re
open-content  open-courseware  open-education  courses  academic  online  learning  education  elearning  cmu 
may 2008 by tsuomela
experimental college, open education initiative from macalester and university of minnesota students
academic  community  commons  courses  education  free  learning  local  minneapolis  minnesota 
march 2008 by tsuomela
M a y b e L o g i c A c a d e m y :: info
Courses are grounded in the philosophy and perspective of maybe logic, an approach which emphasizes the fallibility and relativity of perception and tends to approach information and observations with questions, probabilities and multiple perspectives rat
learning  education  online  courses 
june 2007 by tsuomela

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