There are many things I like about your courses. You include variety, such as the videos, the homework, the quizzes, the textbook, and the discussion board. You have well-thought out curriculum that shows a respect for good pedagogy. Your instructors are amazing! They are brilliant, and they respond very quickly. You apply real-world needs to the material being taught instead of having students memorize formulas or be confined within an academic-only practice of modeling.
The instructor was exceptional at answering unclear issues raised and pointing you to right materials to further help your understanding
I really like the Statistics.com courses. Just before I signed up for the first course, I had tried to work my way through a couple of different textbooks, and just could not get anything out of them. With this class the clear discussion text, relevant assignment problems, and instructor feedback made it easy to learn. Meena Badade is great at answering student questions with very clear explanations, and Poonam provides excellent feedback on the homework assignments. Thank you both for a great course!
In a nutshell of the 13 Statistics.com courses I have completed to date, this is one of the top three in the intellectual excitement it generated, and the very best taught of all. Prof. Sen has created a jewel of a class,packing an entire semester’s work into 4 weeks, but doing so with such intelligence, panache, and elegance that I enjoyed every minute of the many hours I devoted to it. His deft blending of video lectures, outside reading, sample programs, and personal feedback on homework was exemplary. It would have taken me a whole year to learn this material on my own, if I could have done so at all. I cannot praise this course highly enough
My statistical knowledge and base continues to increase significantly now with each additional Statistics.com course taken. While I may not be using all the learnings directly in my day-to-day work (for example, regression modeling or calculating sample sizes), they are all influencing how I think about, approach, and work with data every day; the way in which I describe and present data and findings to others; and the way in which I interpret other studies and reports from other researchers, analysts, and statisticians, etc
Excellent format, with flexibility to work whenever time is available, and work a bit ahead as needed to work around other commitments
This was a real eye-opener to me. In short, a real joy to follow this course and be part of this learning process. It also helped me to see links I didn’t see before where I could use different methods to improve upon.
I really enjoyed this course and found it sufficiently challenging, although well explained and the instructor was very approachable and explained concepts and addressed questions clearly and fairly. Looking forward to Biostats 2!
In conjunction with the powerful ‘Resampling add-in for Excel’ software, resampling methodology seems to be a novel and versatile tool that I expect to frequently use as an adjunct to the more formal established methods of data analysis.
It helped me immediately with my job. I was able to understand and apply the concepts to a time-series analysis. The R package I was using (vars) required that I read the documentation, which used much of the terminology and concepts in this class. I would have been quite lost without that introduction to the material. This class really stretched my brain! I loved it!
One of the best classes I’ve taken with Statistics.com
The Instructor, Dave Unwin, was great. I have to admit that I had my reservations about taking an online course, but I was pleasantly surprised. Dave obviously put a lot of thought and effort into creating the materials for the course as well as structuring the assignments to give students thoughtful work. He responded to each and every question and was very hands-on.
After this course, I have a high level understanding of the various advantages and disadvantages of the commonly used adaptive designs. I will use this information to propose Adaptive Designs at my workplace.
This course (Introduction to Design of Experiments) taught me that DOE is a much stronger tool than I anticipated. While I’ve used DOE software in the past, I never understood the calculations behind the design settings. Now that I have a better grasp of what is happening, I plan to revise some previous DOE’s to optimize parameters and results.
The instructor Joris Mays was very effective, especially in the discussion board where his feedback was timely, clear and very thorough.
I highly recommend this course for anyone new to R but planning to take GLM, Logistic regression etc as it gives such a great foundation. I am an actuary and all the concepts dealt with in this course are highly applicable to everyday modelling work
I appreciated the discussion board feedback as well as comments back on the homework assignments. Both of those things have helped me become a more efficient programmer
The PDF lessons were clear and easy to follow. Thank you for a great course!
It was very helpful to have access to the discussion boards. I posted questions throughout and I appreciated that not only did the instructor/TA respond, but also other classmates. Also I found our TA extremely helpful.
The examples used in the class lessons were very helpful and presented real survey problems and their solution for some commonly encountered survey situations
I felt this class did a good job of reinforcing concepts and their application, and not getting caught up in the algorithms. The TA feedback was invaluable to me. Thank you!
Professor Babinec did a wonderful job of leading us through this material. It is obvious that he has a passion for this subject. His breadth of knowledge of and experience with cluster analysis added significantly to the course. He gave very helpful answers in the discussion forum! Anuja, our teaching assistant, was very supportive throughout the course as well. The course material was challenging but fulfilling, helping us appreciate the subtleties of cluster analysis rather than thoughtlessly plunge ahead. In summary, this was a very satisfying and useful course.
This course provided a realistic approach to the analysis of customer data. The steps involved in the preparation of the data prior to analysisunderscored the need for a solid understanding of the business problem to besolved and the programming skills required. The R code provided in the coursewas terrific especially the use of the tidyverse series of functions andoperators. The course was a strong introduction into that style of programming. Likewise, with so much of the R code provided it was easier to focus on solvingthe business problem.
Dr. Pruim was an outstanding instructor, extremely knowledgeable, respectful and prompt. This course has given me a strong foundation for continued learning
Thank you for helping me increase my knowledge in the fields of statistics, and consequently provide them the adequate tools for better performance and sound achievements in their jobs and research.
The professors provide feedback and suggestions to help understand the concepts very well. I am looking forward to many other courses along the way.
The course materials are pedagogically well designed. Course administration was efficient. Overall, a pleasant learning experience which is at least as good as any face-to-face course I’ve attended.
More and more medical students are submitting systematic reviews and associated meta-analyses, to meet research exposure requirements, in the Basic Sciences Programs of their medical school education, here in the Caribbean. The course provided me with a unique and much appreciated opportunity to learn much more about the technique, its underlying principles, and how to correctly apply the tool whenever evaluating a collection of primary studies. Time and energies committed to the course have been very well spent.
The modeling techniques learned in this course will greatly assist me in understanding the use of models in the banking industry.
This course has given me a much better understanding of biostatistics and will allow me to gain more from my campus based studies.
The dimension reduction and classification techniques taught in this program are helping me enormously in my work at the Bank. After I finish this certification I will be signing up for both Bayesian Statistics and Optimization specializations.
I loved the new option to send assignments to the teaching assistant for suggestions before submitting the work to be marked. Poonam was very helpful and provided the right amount of guidance without giving away the right answer. Excellent course!
I thought this class was excellent, the material was very understandable, the examples and practice were great, and the teacher is phenomenal! Very happy with this course.
I was quite surprised and impressed with the depth of theory development in this area, plus the software options to allow optimum exploration of the data. Thanks for a most interesting course.
I have to say that I learned more about statistics in one month with Statistics.com than I learned in a full quarter of engineering statistics as an undergrad 20 years ago. The concept makes all the difference in the world. I now more fully understand what is behind the mathematical concepts they tried to teach me in college.
The theory was clear and well explained; which allowed me to tackle very unfamiliar concepts with relative ease. I feel I now have a really firm foundation on which to build and have been encouraged by this course to keep learning and working towards going even deeper into stats and analysis.
The videos are excellent! The information is presented in a very clear and effective way.
I just completed another of your courses and yours is without question the best online educational resource available.
This was an awesome course! I learned so much about mapping. This is a fascinating topic and I wish you had a specialty just on that!
I found the course to be a valuable introduction to resampling and bootstrapping methods. I am recommending this course to colleagues. Thanks for an engaging and informative course.
I was very anxious about taking this course. The first week was intimidating, but the readings and supplements are amazing. I am walking away really feeling like I have an introductory knowledge of statistics. I appreciated the feedback on assignments. It encouraged me to keep working hard.
This course definitely adds another dimension to my map visualization capabilities other than just relying on QGIS.
I was really impressed with the clarity, knowledge, engagement level, and patience of the instructor. His contribution in the forums made this the most useful online learning experience I’ve had (and I’ve tried a few different venues)
Overall, this was the kind of strong, structured introductory exposure to a topic I’ve come to expect at statistics.com.
I was very impressed with how well Randall Pruim interacted with the class through the discussion forum. I also was pleasantly surprised at how smoothly all the logistical “on-line” issues went. I have already signed up for another course
I was really impressed with how the homework assignments helped me learn the material. In many stats classes I’ve taken other places, homework assignments can seem punitive for those who don’t understand the material, but this homework seemed to further enhance my learning experience. I would definitely take another class with Dr. Pardoe if I had the opportunity.
I much enjoyed your text mining course last year and plan to take the deep learning one – thanks for creating it
Excellent course! Dr. Smith is very dedicated, always available to answer questions, and makes this online course feel almost face-to-face
Both the instructor and the teaching assistant were approachable, helpful, and knowledgeable about the subject matter, and provided constructive feedback about discussion board posts and assignment submissions. My textbook will even be a valuable resource for future projects.
This course has been a great help to me. It will lead to a clearer understanding of the data and to better reports and articles.
As always it was a pleasure taking a course from Professor Indurkhya. This course was a model of what Statistics.com courses can be.
This is the best course so far at statistics.com in terms of assignments and instruction. Although this is not a Tableau course, Catherine (and evidently Galit) really did a good job of keeping things direct and simple in regards to step by step instructions for getting from point A to B in the Tableau software so the student could follow easily and therefore complete the assignments with confidence.
The more courses I take at Statistics.com, the more appreciation I have for the smart approach, quality of instructors, assistants, admin and program. Well done!
I will be using this knowledge in my daily work. Thank you. It was really interesting and useful.
I felt this course helped me “unwrap” another layer of R. It helped me become a little more comfortable, and less afraid of writing an R program.
Instructor gave good, understandable answers on the board, and several nice summaries of topics we were covering.
Excellent team. Once again, I’m impressed with the level of interaction that is made almost daily from the instructors and support team. Thank you for all your help.
This class was very interesting and practical. I learned how to structure experiments to be able to isolate the effects that the input variables have on the response variable. It was also interesting seeing the application of linear regression analysis in a little different way than I experienced in the linear regression class I took just before this. I appreciated the text and will keep it for reference.
I came into this course knowing the basics of what Structural Equation Modeling could do. I am leaving this course with a whole new understanding of the ways it can be used to answer many different types of research questions. From psychometrics to multi-level modeling, I now feel like I have a whole new bag of tricks in my tool-belt. While I have read books, being able to go through exercises and get feedback was critical. I do not believe I would have come to such an understanding on my own without this course. It was excellent.
The TA was really helpful and very responsive to questions. Overall the course was a great experience.
I now have a better understanding of the foundations of the statistics. Although I was familiar with the terms, I feel more comfortable with discussing the topic. I think the accompanying course text and the support online has been great. I found the course text easy to follow and the in text examples are a good way to test understanding of what you learn as you work through the text.
The instructor, Dr. LaBudde was highly effective. His written lectures contributed greatly to my understanding and his patient and lengthy answers to my at times overly general questions were extremely informative. It would be hard or impossible to get this information on my own
Even though I used to perform sample size calculations before – I was always skeptical of my work and was never confident if I was using the right methodologies.This course has helped me understand when to apply which technique and I can calculate sample sizes much more confidently
The tools and understanding gained in this course are absolutely vital to the practice of data analytics (at least to an acceptable standard). Thank you for a great course. I have learned an incredible amount
I am going to rock the graphics at work! This was an excellent intro to the multiple types of graphics in R, and how and when they can be combined (or not). This can be very confusing, so this type of intro helps to avoid some of the pitfalls and dead ends. It was a fun and interesting class, with lots of opportunity to create graphics and learn new techniques.
The course notes were very instructive and informative, and very easy to follow along. It was helpful to know that the instructor was available to answer any and all questions via the discussion board. I feel confident that I can apply the techniques taught in the course to my own work.
I will be working a lot creating customized plots and graphics for reports. This class was crucial for my understanding of graphics in R and how to fully customize the output. Thank you so much, this was truly an amazing course and helped out a lot. Well done!
Very interesting course, excellent content. I’m looking forward using these concepts in my business soon.
The interaction with the lecturer was good, the book is great, the online book material on software is extremely helpful and the lecturer put a lot of effort into a synthesis of the books contents every week. This was by far the best course I took at Statistics.com
I am very thankful to the course and assistant teachers. The course was well worth its effort and tuition.
This [SQL – Introduction to Database Queries course] is the single most useful course I have ever taken in regards to helping me in the workplace. SQL alone, which I had zero prior experience, is needed for almost every data analytics job I see. R is also ubiquitous and very important. Great to learn how to use both together.
This course fundamentally deepened my understanding of statistics and studies. I will certainly apply the knowledge gained as often as possible. Absolutely vital course for understanding basic epidemiology, studies and statistics. I would recommend that everyone get a copy of the textbook before class though. It complements the ActivEpi CD extremely well.
I certainly feel that I got my money’s worth from this course and this was almost entirely due to the prompt, thoughtful and expert comments of Brady and Andrzej.
The feedback from assistant teachers was very helpful, and while I was mostly on target, it helped me see where I needed more help.
I work on projects with multilevel data and this course solidified my understanding of mixed modeling statistical concepts and available analysis packages. I am very happy with this course. The instructors and TA were very responsive and explained the material very clearly. I appreciated having access to archives of previous discussions. This really aided in my learning.
Feedback on the homework was very comprehensive and detailed, always encouraging. It was a great help for me, and thank you very much to the teaching assistant!
I would like to thank Dr. Ragsdale for a tremendous work and very insightful course. One of the best I have had at Statistics.com- given the amount of material, knowledge, support, and ability to teach. Thank you very much. It has been a pleasure to have him as leader of the course and wanted to wish him the best and continue with the good work. Very happy with the course!!!
The lecture notes were clear and concise. The instructor did a great job in covering many different topics in such a short course.
I would contend that this Bayesian Computing class (and other Statistics.com classes I’ve taken) has extremely good value. I have gotten so much education for relatively little expense. the assistant teacher’s feedback was extremely helpful.
This was a great class. I learned a lot and enjoyed the format. The lessons, assignments, feedback, and discussions were all informative. I appreciate Professor Unwin’s efforts to include references to web sites, journal articles, and books that will be very useful in the future. Thank you!
This course gave me a solid background on structure of databases and how to use SQL statements to query a database
This was a very interesting course which almost everyone can benefit from taking.
I feel this class gave me a much better understanding of how to design experiments and enhanced my statistical vocabulary. One thing I liked about Mr. Babinec’s approach was that his written explanations were precise. Once I read and comprehended them, they really helped break down what I was reading in the text that was more understandable, especially by comparing/contrasting terms. Overall, I enjoyed the class and it was well worth the time spent.
I like the course very much and the material given to us was excellent. This course has given me valuable information about how to approach a risk analysis.
I found this course to be very helpful. It wasn’t like other courses where you just run example code and change a few things here and there. I learned a lot and have even applied what I’ve learned in this course to the other course I’m enrolled in currently. Thank you for the great notes and text!
This course is an excellent follow up to the R basic course. A lot of new and helpful material was added and contributed to a more advanced understanding of R programming
The instructor did a great job of listening to all my questions and put very timely and thoughtful responses into his answers
I realized that I deal with statistics every day. We covered issues that pertain to real life and I now feel I have knowledge about important issues I was previously unaware about.
The Video/ PPT lectures were excellent. Dr. Golbeck and the TA did a great job to ensure a very good environment to learn and obtain feedback. This course is a great addition to statistics.com
Using information gleaned from the course concerning a not-well-known distance measure (Gower dissimilarity) useful for cluster models that combine data from mixed variables, including nominal, ordinal, and numeric variables, I was able to refine a model I was working on for an academic conference paper. More broadly, the subject of identifying anomalies is a central task of academic historians, and this course allowed me the welcome luxury to reflect on their nature and methods of discovery.
I will be using the methodology of meta-analysis for my dissertation which is on effective schools. This will help me in my work as I am a principal of an elementary school and want to know which strategies have the greatest impact on student achievement
I learned a great deal from the course and recommend it highly for all prospective and current AP Statistics teachers
Great explanations provided by the course instructor in the videos and on the discussion board. The teacher assistant was very diligent and professional in reaching out to me and giving me every opportunity to be successful in this course. Definitely a wonderful experience!
This course was flat-out excellent. Dr. Ragsdale sets the gold standard for teaching, from his clear and informative text to his prompt and helpful forum responses to his efficient and effective course design. I now have tools that I can put work immediately to benefit my company. Anuja, our teaching assistant, was also superb, providing timely help and support when needed.
This course is well designed and the course materials are simply awesome! The instructor is very knowledgeable in the field and has tons of examples from their website, which is a huge benefit. The focus on programming and practical tips, as opposed to theoretical details, is also a great benefit.
A very nice introduction to the subject. As someone without any real background in epidemiology, now moving into an area where I need it, this course was very helpful indeed.
This course has been a life/work changer for me. Within 2 weeks of taking this class, I was able to produce far more informative plots than I ever had before. I’m inspired to take more classes and learn as much as I can about this wonderful new world. Regarding Statistics.com in general – based on my experience with this course that is, this is a class act online program. A friend recommended it several years ago, but I opted for free MOOCs instead, which haven’t worked for me. The small size of the classes, the attention by the instructor, and the assignments bode well for learning. All in all – a great course!
This was a highly interactive course with a first rank expert in his topic who, fortunately, was also good communicator who likes teaching.
It was perfect, much recommended to anybody wanting to understand the dynamics behind political microtargeting and how it can be applied to business. Many theoretical aspects that were known in the past have been empirically implemented with wonderful exercises of Mr. Ken Strasma.
This course (Introduction to Design of Experiments) will enhance my ability to efficiently conduct experiments and discern relevant and non-relevant factors. As a researcher in R&D, design of experiments is a considerable portion of my job.
This was one of the best Statistics.com courses I’ve taken. I’m basing this comment on the online active text and video components – very clear!
The subject of identifying anomalies is a central task of academic historians, and this course allowed me the welcome luxury to reflect on their nature and methods of discovery.
The instructor is fantastic and it was a pleasure to interact with him throughout the duration of the course.
The course, Introduction to R Programming Part Two, taught by Joris Meys was EXCELLENT! All of the course materials were extremely helpful in allowing me not only to understand the details of R programming but also to gain a solid perspective on the fundamentals of R coding. The feedback on the assignments was very detailed and the explanations included why certain approaches of coding were preferable to others. I really enjoyed this course and I learned a great deal.
The book for this course is very good. Everything is explained in a really clear way. Videos were great too and help in understanding issues.
I can’t recommend this class highly enough. Professor Shmueli is an excellent teacher and has written a very clear and practical book. The professor provided good feedback to questions and introduced a wide range of fascinating supplemental information to the course for individuals who want to go deeper. The TA was also excellent with good feedback on the homework
As a SAS programmer, I believe I will continue to use SAS for data manipulation but will utilize R when running models and exploring large data sets.
Over the last two summers, I’ve taken the two stats courses meant to prepare future AP Stats teachers. Those courses were invaluable to me and gave me the confidence I needed to tackle a difficult subject.
I enjoyed the course thoroughly. The question-answer sessions (discussions) were really helpful in understanding the concept. I have definitely gained a lot of knowledge about microarray analysis.
I really liked how the instructors coordinated the course. They are very friendly and very knowledgeable.
The tools and skills I have developed through taking Statistics 1, 2, and 3 have been directly applied to my job as an analyst providing training assessments to the United States Navy. I don’t believe that I have ever taken a program that more directly impacted my profession as quickly as this program has. These classes and the other classes with Statistics.com I am planning have profoundly effected the course of my career in a positive direction.
Thank you for the excellent course. I appreciated the timely and detailed responses from Dr. Babinec (for e.g. normalization example when non-numeric predictors are involved). Discussions initiated by other students were also very valuable – esp for PCA and Clusters
An excellent course. I’d like to thank Mr. Strasma and the Teaching Assistants for a very solid and productive course.
I found this a very good grounding on theory, but also there were good discussions about practical issues. The introduction to the various software packages was also very helpful.
Gave me some insights in designing experimental studies, analysis of such eg matched case controls studies, and survial analysis. The course was a master piece. I like the style and I will take more courses.
Jen is an amazing instructor. She is open to discussions, knowledgeable and willing to discuss topics. Her you tube videos added substantially to to the course and understanding the material
Overall, the instructor and the assistant instructors were responsive and helpful. The homework grading was done in a timely way and the model answers were helpful. All in all, I learned a lot and am eager to practically apply these strategies.
The course has helped me understand how survival curves and hazard ratios are obtained.
Very good instructor! He interacted meaningfully with students throughout the week. Was open to all questions and displayed expertise of material. Iterative grading was helpful.
I thought the notes were fantastic – very clear, and interesting. One of the best courses I’ve ever taken!
Brian Marx is the best teacher I have had. The homework was straight forward and Brian responded to questions on the discussion board in a timely fashion.
I learned a great deal from this course. I thought that the instructor, Dr. Congdon, prepared excellent lessons for the course. Dr. Congdon’s responses to the questions on the discussion board were clear and very helpful. The TA for this course was also excellent.
Dr. Rothstein is an excellent instructor. I have taught blended classes and know that instructor responses are crucial to the quality of discussion threads. Dr. Rothstein’s responses are excellent: informative and kind!
I am now confident that I can use R and continue learning on my own. The course also helped me to explore other resources within the R community online. I’m looking forward to using R in data analysis for my masters thesis and beyond.
I learned a lot of short cuts that I will be grateful to use! I think the instructor and the assistant instructor were great!
I took this class out of general curiosity and the fact that it used Python, which is increasingly attractive to me in building my own software tools. To my delighted surprise I found the course to be one of the very best (out of more than 20) I have taken at Statistics.com. It proved a harmonious blend of theory (buttressed by relevant reading and videos by the instructor), focused homework exercises, and training in Python coding. As a result I learned much and enjoyed the process greatly. I was particularly impressed with the instructor’s choice of homework assignments, which fascinated me, and with the importance he placed in students writing clear, even elegant, Python code. This is my fifth course using Python at Statistics.com and while I found the other courses quite useful to varying degrees, I never before had an instructor who spent time advising me on the fine details of my actual coding style and suggesting useful improvements.
The professor was extremely helpful in the course and always willing to go above and beyond to answer questions.
All of the courses I have taken at The Institute have been excellent in providing understanding of statistical concepts by focusing on the logic and theory behind the equations and formulas, which has allowed me to maximize my learning experience
I would recommend this class to anybody (with a basis in probability theory and calculus) who wishes to get acquainted with bayesianism.
I learned more in the past 6 weeks than I did taking a full semester of statistics in college, and 10 weeks of statistics in graduate school. Seriously.
Dave was a fantastic instructor. Lots of personalized feedback. The course was challenging but extremely rewarding. It’s made me think about a range of new areas of statistical analysis, which I’ve found very stimulating
This course will definitely be used for my work. This course should be called Intro to R for Busy People. I’m really glad I took this course and will recommend it to others.
[I took Statistics 1,2, and 3 – the courses were] very well explained and there were always examples to find that helped me think things through. I especially noted and welcomed and appreciated the continual repetition (e.g. of the box examples) within and throughout the courses, because it really reinforced the conceptual understanding of what we were doing.
I have truly enjoyed this course with Professor Babinec! All the courses I have taken statistics.com have met my expectations and made me happy because of my professional growth, but this course as well as the course on Likelihood Estimation have surpassed all my expectations!!
The instructor was nice and answered the questions on the discussion board clearly. The teacher assistant was really helpful when I worked on the assignments. I appreciate it and thank you very much!
Taking as many courses through Statistics.com is one of my learning goals; I have told many of my colleagues about this online medium for learning statistics.
This course will greatly contribute to my work as an environmental data scientist and division director. This course was a great introduction of how to use R to fit the models and how to interpret the R output!
The course was very interesting. It was the first time I’ve had this level of exposure to data mining. The real life examples and exercises covered during the course helped me to understand the various approaches and techniques presented. It was a terrific course
I enjoyed the course guidance from Everett. He really helped us to make conceptual sense of the Rasch model
My organization is slowly embracing predictive analytics outside of our environmental concerns, so this course contributes directly to strengthening my R toolkit!
Every professor has unique and great qualities in them and the unique and great quality that I found in Prof Anthony Babinec is that he can write pages of explanation for each and every line in the book. He is an awesome professor. He explained each and every doubts we had to the perfection.
I have never had an online class before, and I have typically heard bad things about them, so I was shocked when I found out just how easy this course was to manuever. I really liked the format – it allowed me to work at my own pace yet still check in with the teacher and the other students. A really great experience for my first online course.
I enjoyed this course very much. The study materials were well thought out and effective. The instructor took an active interest in our progress. I would highly recommend this class.
I am working for Scotiabank/International Banking-Marketing (Toronto-Canada). Since we are manipulating tons of data at the customer level for more than 27 countries, R would be the perfect complement tool (we have been using SAS) for customer analytics. I am new on this R world but I would like to apply it on a daily basis soon.
Great instructor, TA and peer students. I’ve really enjoyed this course. Thank you!
This is a very well prepared course. The instructor not only pointed out the right book for statisticians but also provided very useful lecture notes that helped a lot
Fantastic courses! The materials were well done and the exercises really helped me develop and apply the concepts. Very, very well done. I will recommend to my colleagues
This course will help me handle statistical analyses and related consultancy in a correct, professional, and intelligent way.
This is the best online course I have ever taken. Very well prepared. Covers a lot of real-life problems. Good job, thank you very much!
I very much enjoyed the Stats 1 and 2 classes, and I think your book and approach really are excellent. I have taken a variety of stats-type classes, including calculus-based probability, but the re-sampling gave me a much more intuitive understanding than any other approach.
This was a great class. I learned a lot and enjoyed the format. The lessons, assignments, feedback, and discussions were all informative. I appreciated the professor’s efforts to include references to web sites, journal articles, and books that will be very useful in the future. Thank you!
This is a good course. The explanations are clear and practical. The problems are good: not too easy nor too difficult, and they are very practical. The problems helped me to apply these skills in my field.
I have a much better understanding of the *apply functions, as well as using aggregate and xtabs to replicate pivot tables in Excel. This will be very helpful for the type of data analysis work I do
The Statistics.com courses have helped me a lot, pushing me to the limit and making me learn much more than I expected I could. The knowledge I gained I could immediately leverage in my job and eventually led to landing a job in my dream company – Amazon.
I need all the modeling practice I can get in R. I thought this class was very helpful to that end and I plan to take additional courses as a result
Anthony did a great job of answering questions, adding explanations and expanding on ideas. The best teacher I have had at statistics.com so far
I need to know R to perform my job as I am a product manager for a software company that interacts with R. I am now able to understand R scripts and hopefully contribute some of my own. The instructor’s videos were great. Just hearing his voice made it more personal. This was my first ever web based course and I really enjoyed it although I had to work hard.
This was a great introduction to Programming in R. I feel like I have some basic concepts down and I am looking forward to taking more courses to keep developing my skills in this programming language. I can definitely see the potential for data analysis in my work!
I often have to do statistical analysis of the data we collect. Due to my lack of understanding of various statistical procedures, I have always had to depend upon others to tell me which analyses to do and how to interpret those outcomes. I now feel very confident making my choices and most importantly interpreting the outcomes.
This course will help me evaluate and code speech recognition tools and develop information extraction models. It will guide me toward what to consider and keep me from falling into some traps.
The healthcare industry is extremely data-rich due to electronic medical records which allow for the opportunity to find insight into large data sets. Brushing up on my stats knowledge as well as diving into predictive modeling will allow me to turn data into meaningful insights that our health system can use to improve business processes.
This course is a great review of some popular probability distributions and how to test their assumptions. Reviewing the sampling techniques and testing the assumed distributions will help me when I check data and perform regression models.
I have never had an online class before, and I have typically heard bad things about them, so I was shocked when I found out just how easy this course was to manuever. I really liked the format – it allowed me to work at my own pace yet still check in with the teacher and the other students. A really great experience for my first online course.
I greatly appreciated learning about SEM from a foremost expert of the subject. I now have a more thorough understanding of SEM from theoretical and practical perspectives.
This was the first class I’ve taken in a long time, the first online course I’ve ever taken, and my first statsics.com course. I found it very easy to navigate and was pleasantly surprised at how involved the instructor was in the online discussion. Great class!
This course was extremely helpful in facilitating my understanding of programming in R fundamentals. I feel confident moving forward onto the next section of R programming
Considering all of the material that needed to be covered, I thought the course was well written and thought provoking.
I fully enjoyed the challenge of working through the assignments and reading Dr. Pardoe’s book. I gained some new insights into regression analysis. In other words, my horizons were expanded and I learned a great deal.
Both the instructor and TA were exceptionally prompt in their responses to queries. The comments and suggestions were on point. Thank you for an enjoyable, informative course
The course helped me learn Tableau and some of the effective Visualization techniques. I really liked the detailed assignments with hints and steps required to perform some of the tasks.
This is an excellent course with a lot covered beyond expectation. The teacher assistant was very responsive to queries and comments
The course helps me understand different approaches (pros and cons of each approach) in sample size estimates and provides hands-on experience in using various softwares. I highly recommend this course to folks involved in clinical study design
I learned that there are several ways to use bootstrap. The course is an excellent starting point for anyone working with this methodology. I intend to use bootstrap in spatial analysis.
It was great to get a better sense of the Python language. The course gave a great overview of the data analysis and visualization tools.
Since I started the Epidemiology Statistics class, I’ve had a much better understanding of the other staffs’ concerns.
I look forward to taking another course on statistics.com – a great way to continue learning in a structured manner, but flexible enough to participate while Life continues.
I really enjoyed this course. Great recorded lectures and materials. Questions on the discussion forums were very, very good
I am very appreciative of the instructor an the TA for their unflagged availability and contribution to this class. It was a very good class and I enjoyed it and would recommend others to take it.
It will help me to better understand the methods behind statistical analysis used for conducting research and publishing data. I enjoyed the course. It’s really convenient to do assignments on my own time.
Wonderful course. I’ll never pass a queue again without thinking more about it :). Dr. Ragsdale’s book is superb it’s really clear and whenever I had a question it was only a matter of reading more closely to find the answer
This is my fourth course that I have taken at Statistics.com and I am very satisfied with the level and quality of instruction. I will continue to look for: courses that I can take whenever possible.
This course has helped me to gain a practical insight into basic/intro test construction and measurement. The course has fueled my desire to increase my understanding of measurement, specifically Rasch and IRT techniques and theories.
I found it challenging but also a rewarding experience. After completing this course I am now more confident about undertaking statistical analysis.
I understand now what ANOVA is and it seems this is something I can definitely use from time to time for my job tasks. That’s the best to finish a course with the feeling of understanding and getting better in something. Great course!
The two instructors are to be congratulated in putting together a jewel of a short course, one of my very favorite among the many I have taken at Statistics.com. The discussion with such experts was particularly valuable and greatly enhanced the value of the course. If there were an extension to this course, I would gladly take it.
I really enjoyed the format of the course. Wasn’t by the book and you could carve your own path out. Really enjoyed working with a real life database and scenarios. Gave me great examples for my job.
This course was tough, but immensely satisfying. The instructor’s lecture notes were written very clearly and were easy to read
I think the resampling approaches are refreshing and insightful. And the textbooks are marvelous in their clarity of expression and real world examples. I have told many of my colleagues about this wonderful and refreshing online medium for learning about statistics.
This course is well designed and the course materials are simply awesome! The instructor is very knowledgeable in the field and has tons of examples with codes from his website, which is a huge benefit. The focus on programming and practical tips, as opposed to theoretical details, is also a great benefit.
I thought the course was well organized and I liked the selected readings and text.
This course is an eye-opener for me. I always used to wonder what is the best course of action to take in times when outcomes are dynamic.
This has given me a great overview of Rasch and introduced me to Winsteps which I will use instead of Quest in the future. Thanks, the course was very useful and was very clear and well explained, especially for a beginner like me!
The course will provide a solid background/springboard to my research in Longitudinal Data Analysis. Questions which required participants to replicate examples in text consolidate learning very much! Instructors were on hand to answer every question that came their way.
I am only beginning to use SEM. Without the course I would have lacked the understanding and confidence to try and use SEM. I now feel confident that I could apply one of the models and use the results for work purposes and publication.