Beginner to Programmer — Learn to Code in C & C++. Gain a deep understanding of computer programming by learning to code, debug, and solve complex problems with C and C++.

Ace the IELTS Test. Use effective strategies for increasing your band scores on the IELTS exam.

Practical and Modern Statistical Thinking For All. Use Python for statistical visualization, inference, and modeling

Kickstart your learning of Python for data science, as well as programming in general, with this beginner-friendly introduction to Python. Python is one of the world’s most popular programming languages, and there has never been greater demand for professionals with the ability to apply Python fundamentals to drive business solutions across industries.

Add Qualitative Methods to Your Research Toolkit!. Master Your Expertise in Research Design Data Collection & Data Analysis ft. MAXQDA Software.

An End-to-End Guide to Leading and Launching ML. This expansive machine learning curriculum is accessible to business-level learners and yet vital to techies as well. It covers both the state-of-the-art techniques and the business-side best practices.

This is your path to a career in data analytics. In this program, you’ll learn in-demand skills that will have you job-ready in less than 6 months. No degree or experience required.

Master Linux and Cloud Computing. Learn how enterprises use and administer Linux in a private cloud environment.

Learn How To Develop Open Source Software. Get the skills and knowledge you need to develop open source software using Linux, git, and more!

We will introduce methods to perform systematic reviews and meta-analysis of clinical trials. We will cover how to formulate an answerable research question, define inclusion and exclusion criteria, search for the evidence, extract data, assess the risk of bias in clinical trials, and perform a meta-analysis.

Clinical trials are experiments designed to evaluate new interventions to prevent or treat disease in humans. The interventions evaluated can be drugs, devices (e.g., hearing aid), surgeries, behavioral interventions (e.g., smoking cessation program), community health programs (e.g. cancer screening programs) or health delivery systems (e.g., special care units for hospital admissions). We consider clinical trials experiments because the investigators rather than the patients or their doctors select the treatment the patients receive. Results from randomized clinical trials are usually considered the highest level of evidence for determining whether a treatment is effective because trials incorporates features to ensure that evaluation of the benefits and risks of treatments are objective and unbiased. The FDA requires that drugs or biologics (e.g., vaccines) are shown to be effective in clinical trials before they can be sold in the US.

This course presents critical concepts and practical methods to support planning, collection, storage, and dissemination of data in clinical research.

How can you tell if the bold headlines seen on social media are truly touting the next big thing or if the article isn't worth the paper it's printed on?
Understanding Medical Studies, will provide you with the tools and skills you need to critically interpret medical studies, and determine for yourself the difference between good and bad science.

We live in an uncertain and complex world, yet we continually have to make decisions in the present with uncertain future outcomes. Indeed, we should be on the look-out for "black swans" - low-probability high-impact events.

Build a Foundation for your Data Science Skills. Master a wide range of math underlying Data Science and learn how to apply it in practice.