Об этом курсе: Whether being used to customize advertising to millions of website visitors or streamline inventory ordering at a small restaurant, data is becoming more integral to success. Too often, we’re not sure how use data to find answers to the questions that will make us more successful in what we do. In this course, you will discover what data is and think about what questions you have that can be answered by the data – even if you’ve never thought about data before. Based on existing data, you will learn to develop a research question, describe the variables and their relationships, calculate basic statistics, and present your results clearly. By the end of the course, you will be able to use powerful data analysis tools – either SAS or Python – to manage and visualize your data, including how to deal with missing data, variable groups, and graphs. Throughout the course, you will share your progress with others to gain valuable feedback, while also learning how your peers use data to answer their own questions.
Автор: Уэслианский университет
Преподаватели: Lisa Dierker, Professor
Psychology
| Основные сведения | Course 1 of 5 in the Data Analysis and Interpretation Specialization |
| Выполнение | 4 weeks of study, 4-5 hours/week |
| Язык | English |
| Как пройти курс | Чтобы пройти курс, выполните все оцениваемые задания. |
| Оценки пользователей |
Программа курса
НЕДЕЛЯ 1
Selecting a research question
We would like to welcome you to Wesleyan University's Data Analysis and Interpretation Specialization. In this session, we will discuss the basics of data analysis. Your task will be to select a data set that you would like to work with and to review available code books that help you develop your own research question. You will also set up a Tumblr blog that will allow you to reflect on these experiences, submit assignments and share your work with others throughout the course. First, you may want to check out the welcome video
5 видео, 6 материалов для самостоятельного изучения
- Видео: Welcome Video
- Reading: A few quick questions to get started
- Видео: Video Lesson - Steps in data analysis
- Видео: Video Lesson - What do we mean by data?
- Видео: Video Lesson - Datasets and codebooks
- Видео: Video Lesson - Developing a research question
- Reading: Course codebooks
- Reading: Course Data Sets
- Reading: Getting Set Up for the Assignments
- Reading: Tumblr Instructions
- Reading: Troubleshooting Your Tumblr Assignment Blog Link
Оцениваемый: Getting Your Research Project Started
НЕДЕЛЯ 2
Writing your first program - SAS or Python
In this session, we will discuss how to write a basic program that allows you to load a data set and examine frequency distributions. Your task will be to write a program that helps you to explore the variables you have selected for your own research question. You may choose either Python or SAS. Both are made freely available, and we have created a helpful guide to support you in making the decision. Once you have selected your platform, just follow the instructions in the appropriate "GETTING STARTED...." file, and then check out this week's video lessons aimed at helping you write and run your first program. You need only view the lessons for one of the statistical platforms (SAS or Python).
8 видео, 7 материалов для самостоятельного изучения
- Reading: Choosing SAS or Python
- Reading: Getting Started with SAS
- Reading: Getting Started with Python
- Reading: Codebook for Video Examples
- Reading: Program for Video Examples
- Reading: Uploading Your Own Data to SAS
- Видео: SAS Lesson 1 - Defining exploratory data analysis
- Видео: SAS Lesson 2 - SAS coding conventions
- Видео: SAS Lesson 3 - Running your program and examining frequency distribution
- Видео: SAS Lesson 4 - Refining your research question by selecting rows
- Видео: Python Lesson 1 - Defining Exploratory Data Analysis
- Видео: Python Lesson 2 - Python Coding Conventions
- Видео: Python Lesson 3 - Running your program and examining frequency distributions
- Видео: Python Lesson 4 - Refining your research question by selecting rows
- Reading: Assignment Sample
Оцениваемый: Running Your First Program
НЕДЕЛЯ 3
Managing Data
In this session, we will help you to make and implement even more decisions with data. Statisticians often call this task 'data management', while computer scientists like the term 'data munging'. Whatever you call it, it is a vital and ongoing process when working with data. Your task will be to write a program that manages the variables you have selected for your own research question.
8 видео, 3 материалов для самостоятельного изучения
- Reading: Program for Video Examples
- Reading: Codebook for Video Examples
- Видео: SAS Lesson 1 - Setting aside missing data
- Видео: SAS Lesson 2 - Coding in valid data and recoding values
- Видео: SAS Lesson 3 - Creating secondary variables
- Видео: SAS Lesson 4 - Grouping variables within individual variables
- Видео: Python Lesson 1 - Setting aside missing data
- Видео: Python Lesson 2 - Coding valid data and recoding values
- Видео: Python Lesson 3 - Creating secondary variables
- Видео: Python Lesson 4 - Grouping values within individual variables
- Reading: Assignment Sample
Оцениваемый: Making Data Management Decisions
НЕДЕЛЯ 4
Visualizing Data
In this session we will discuss descriptive statistics and get you visualizing your newly data managed variables individually and as graphs showing the relationships between them.
12 видео, 4 материалов для самостоятельного изучения
- Reading: Graphing Decisions Flowchart
- Reading: Programs for Video Examples
- Reading: Codebooks for Video Examples
- Видео: SAS Lesson 1 - Graphing individual variables
- Видео: SAS Lesson 2 - Describing distributions visually
- Видео: SAS Lesson 3 - Measures of center and spread
- Видео: SAS Lesson 4 - Designing the role each of your variables will play
- Видео: SAS Lesson 5 - Graphing decisions: categorical response variables
- Видео: SAS Lesson 6 - Graphing decisions: quantitative response variable
- Видео: Python Lesson 1 - Graphing individual variables
- Видео: Python Lesson 2 - Describing distributions visually
- Видео: Python Lesson 3 - Measures of Center and Spread
- Видео: Python Lesson 4 - Designing the role each of your variables will play
- Видео: Python Lesson 5 - Graphing Decisions: Categorical response variables
- Видео: Python Lesson 6 - Graphing decisions: quantitative response variable
- Reading: Assignment Sample
Оцениваемый: Creating graphs for your data
Supplemental Materials (All Weeks)
3 материалов для самостоятельного изучения
- Reading: How to Write a Literature Review
- Reading: Translation Code
- Reading: Acknowledgments
Часто задаваемые вопросы
Как это работает
Coursework
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Авторы
Уэслианский университет
At Wesleyan, distinguished scholar-teachers work closely with students, taking advantage of fluidity among disciplines to explore the world with a variety of tools. The university seeks to build a diverse, energetic community of students, faculty, and staff who think critically and creatively and who value independence of mind and generosity of spirit.
Стоимость
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Рейтинги и отзывы
So far I found this course very nice , good real time examples with interactive sessions along with Exercises and assignments.
It seems my effort and time is going to get paid of soon. Thanks Team !!
Really like this course
Good course. The first time I ever used python was on this course and I managed. Good video lectures
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SL
good basics, explanations can be a bit long winded. like we know what a mean, mode, and median are.