This course is specifically geared to help non-native English speakers improve their listening and note-taking skills when attending academic lectures. Learn how to take better lecture notes, techniques for improving your understanding, and how to give an effective academic presentation.
This course aims to help you develop negotiation and conflict resolution skills so you can become a positive influence in your organization. The course consists of structured learning activities such as video lectures, quizzes, discussion prompts, and written assessments to help conceptualize and measure power and politics, analyze and develop strategies for influencing stakeholders, and learn how to act with integrity and purpose in your interactions at work.
Enhance your employability and learn how to use your soft skill to excel in your work. This course is geared to 3 types of situations at work: the job seeker, the team member, and the manager, and will help you identify your strengths and weakness and how to leverage your personality for success.
Who owns data? How do we value privacy? These and other important ethical considerations are at the core of this course. Explore the impact that data science has on modern society and examine the ethical and privacy implications of collecting and managing big data.
Explore how to use Python for statistics and learn about study design, data management, and data visualization. In this course you will learn to determine different types of data, how to visualize, analyze and interpret summaries for univariate and multivariate data, and probability and non-probability sampling. Apply what you learn in Python each week in hands-on, lab-based sessions.
Advance your Python skills and learn to apply them to data analysis. In this course you will learn how to install external packages for Python, acquire data sources, and clean, process, analyze, and visualize data.
Move beyond the basic of programming in Python and explore the built-in core data structures such as lists, dictionaries and tuples for data analysis. This is the follow up course to Programming for Everybody.
Get started with Python, with this course for complete beginners. Learn how to construct a Python program using a series of simple instructions. No previous programming experience required and only covers simple mathematics.
Learn how to use Python for data science. This course will cover the basics of the Python programming environment, fundamental Python programming, and data manipulation and cleaning techniques in order to teach you how to use Python to clean tabular data, manipulate tabular data, and run basic inferential statistical analyses.
Learn how to harness data to drive success with this introduction to data visualization. The course will first ask you to consider what data is and what questions can be answered using data, and then moves into how to develop a research question describe variables and relationships between variables, basic statistics, and how to present results. Lastly you will learn how to use SAS or Python to manage and visualize your data.