Shahabanu Eva - PhD student at The Education University of Hong Kong
“At first, I thought I would not learn much from this course, as I have already published several articles. But after completing the course, I realized that there are many things that we do not know, e.g., how to distinguish truth and rhetoric, think critically by questioning and get rid of cognitive bias. Thanks, Sage Campus and Dr. Tom Chatfield”.
Dr. Jimmy Emmanuel Ramos Valencia - Autonomous University of Baja California
“Every moment that passes it is important that researchers in the social sciences and humanities coordinate our knowledge with that of the engineers in systems that feed the data lakes every day; Learning to use these tools is useful for designing projects in which it is feasible to save time; divide tasks but above all, provide relevant results for the understanding of contemporary problems.”
Shaun Connolly - MSc. Strategic Management at Dublin City University
“Great learnings from the platform in a concise, effective, online channel - I would recommend to anyone of any level.”
Elaine Alves - Business Science PhD student at Estacio de Sa University
“An easy, fast, assertive course on how to publish a paper.”
Renata Bottura - Master student at UNISA, Brazil
“You can learn a lot by using the platform, and really improve your writing skills!”
Chongo Tawen - BSc. Animal Science
“I'm happy for granting me this opportunity to study with SAGE and acquire knowledge. SAGE is the best.”
Daniel Edmondson - PhD Applied Linguistics candidate at the University of Nottingham
“I’m two lessons into the second module of Introduction to Python and I’m already wishing I learned this months ago. Honestly, if you work with data, beg your institutions for access to this course.”
Austin Trantham - Assistant Professor of Political Science at Jacksonville University
“I found the Collecting Social Media Data online course to be extremely worthwhile for completing an ongoing research project. The course modules were interactive, engaging, and easy to navigate. I highly recommend this course to anyone looking to conduct research using social media platforms.”
Jason Jackson - Director of the Jackson Research Institute
“The Introduction to R course was immediately useful to learn how R can speed up data collection, cleaning, analysis, and visualization with graphs and other plots. I immediately see utility in creating publication quality tables for journal article manuscripts and also for conference presentations. R helps build good research habits! Do not be intimidated to take a data science course, such as this. Get started. You will quickly see you made the correct choice, and will be able to leverage these new skills in many new adventures and professional efforts! ”
Alena Connolly - Research Fellow, University of Leeds
“The course was really useful as important aspects of dealing and analyzing data were introduced. The material was clearly presented. There was code available for each exercise, which saved me a lot of time (I did not have to email an instructor every time something was not working).. Customer service was superb! I will do courses with SAGE again.”
Dr. John McLevey - Associate Professor at the University of Waterloo, Canada
“I must say the course exceeded my expectations… I thought it was extremely well done in all regards, including the design and presentation of the interactive materials. First class!”
Luca Pareschi - Adjunct Professor at Università di Bologna
“I took Introduction to Python beacuse I work with texts. I had a minimum previous experience with programming, but no experience with Python at all. I really found the course manageable for a beginner, while at the same time very useful, and I'm sure I'll use in my research the skills I have acquired.”
Mark Dobeck - Professor at Cleveland State University
“The courses are delivered by highly qualified and competent instructors. They’re well-organized and offer considerable value to students. I recommend SAGE Campus to students, academics, and working professionals.”
Nola Jenkins - Tufts University
“I took Intro to Python because I am interested in a career in social sciences. The instructor was really good at explaining concepts and I found this course more helpful than some others I had tried in the past.”
Dr. Juliana Elisa Raffaghelli - Researcher at the Open University of Catalonia (UOC)
“I enjoyed the course videos and resources, which were simple and knowledgeable, in spite of my very basic experience in R and text mining.”
Ariel Quinio - Ontario Institute for Studies in Education at the University of Toronto
“The instructor did an excellent job; he was detail-oriented, and employed a variety of teaching modalities including repetition to emphasize important aspects of the lesson, and illustration using examples to apply relevant concepts or procedures to follow. He was able to inspire, motivate and encourage students to go beyond what this course has to offer.”
Gabby Resch - Doctoral researcher at the University of Toronto
“The course was a thorough, structured, and well-planned-out introduction to visualizing data in the R ecosystem. Charlie, the course instructor, developed appropriate examples that spanned a range of social science data visualization context. Their detailed explanations of various components in the R ecosystem would be helpful for beginners and novices alike.”
Matthew Andrews - Director of Academic Affairs at the International School of Management
“As an academic who needs to be up to date with research methods and data analysis, I wanted to better understand the freely available software R. I don't have a coding background so the course was challenging. Thanks to the individualized assistance I received, I persisted and learned a great deal, and there were numerous practical exercises to consolidate the knowledge along the way.”
Kathrin Schulze - Research Assistant at Ruhr-Universität Bochum
“I mainly took the course in order to get an initial overview on Python as a starting point for further skills and application of it for my research. I really liked the course structure due to its interactive design and different forms of tasks. In particular, the programming exercises where great practice and helped me a lot to internalize the acquired skills. Finally, the instructor spoke in an adequate speed so that one was able to try out some things in Python during his "lecture"-part. .”
Moran Stern - PhD candidate at University of Maryland, College Park
“I took Introduction to R because I knew simply nothing about R. The course was absolutely fantastic, well structured, friendly, and not overwhelming at all. I’ve gained a lot of confidence to use R and apply it in my own research. When needed, SAGE's support team were very helpful with explanations and clarification. Looking forward to the next course with SAGE.”
Daniel Edmondson - PhD Applied Linguistics candidate at the University of Nottingham
“I really liked how this course clearly built on what had been learned on the Introduction to Python course, and I could frequently see how what I was learning could be applied to my own research. Quite often, I felt genuinely delighted when I learned about a new method in Python that would so obviously make my own data analysis and manipulation much easier!”
Vincenc Fernandez - Professor at the Polytechnic University of Catalonia
“I took Introduction to Text Mining to learn which tools I could use to run text mining analysis. After the course, I have understood how this method works and how I can use it in my field. The structure and the material of the course are excellent. The course is perfect for everyone who wants to learn about text mining.”
Hoi Yu Ng - Lecturer at the Education University of Hong Kong
“If you are new to quantitative text analysis and you want to learn the R package ‘quanteda’, this is the course that you should take.“
Chloe Hsu - Student at the University of Bath
“I took Introduction to Python as I wanted to improve my data analysis skill aside from using SPSS. Overall, the content and structure were easy to follow as a complete beginner. I particularly like the quizzes and guided activities at the end of each lesson. I'm hoping to take further training and apply this skill in future health-related research. ”
Dr. Jason Jackson - Director of Jackson Research Institute, Professor at Purdue University Global
“The course instructor Rob was very sharp, the kind of person I know I learned from and he gave much to the course to make it a world class experience. I am inspired to continue working with and learning Python. This was overall amazing.”
Mihaela Dinca - Learner on Introduction to R
“Excellent course—very well structured, intuitive, and with immediate practical applications for researchers! It really boosts my confidence that I can learn R.”