Testimonials for Monika Wahi’s Linked In Data Science Courses

If you have questions about your journey toward a data science career, sometimes you can get them answered with online resources, but sometimes you do not get the information.

Monika Wahi has published 8 data science courses on LinkedIn Learning. This page provides testimonials from learners for each of them. Check them out, and see which courses you want to take yourself!

  • At the top of this page, we have an easy access menu for all 8 courses.
  • Below, you can read testimonials from learners on LinkedIn about the courses so you can decide which ones you want to take yourself!
  • Please note that several of these courses are “off the menu” and not easily accessible in the LinkedIn Learning search engine. Get your exclusive access here!

Study Design and Data Management Courses

Designing Big Data Healthcare Studies: Part 1

Designing Big Data Healthcare Studies: Part 2

Data Science of Experimental Design

Data Curation Foundations

R Courses

Part 1: Descriptive Healthcare Analytics in R

Part 2: Healthcare Analytics: Regression in R

SAS Courses

SAS Essential Training: 1 Descriptive Analysis for Healthcare Research

SAS Essential Training: 2 Regression Analysis for Healthcare Research

 

Data Curation Foundations

Learn to make data dictionaries, flow charts, and diagrams to understand your data
Go to Course

This was a really excellent course! I really enjoyed this one…After taking your course I realized I’ve always loved and performed data curation, but never really knew what to call it. Your course helped me figure out how to organize my data into an outline structure more cohesively than I have done in the past. I immediately feel the positive effects of your instruction.

 …it’s quite informative and interesting.

Thank you Monika! I’ll take advantage of all the resources you’ve mentioned. I appreciate you for sharing so much knowledge with us newbies.

Thank you, Monika! I really enjoyed this course—you’re a wonderful teacher and I enjoyed your sense of humor!

Wow, Monika, thanks so much! It indeed very helpful in healthcare. I studied twice and ready to learn more after I completed Nursing Informatics!

What a course! Great information…[the] course was amazing. Very detailed, thanks for all the examples. I enjoy and continue to skillup in data management, data analytics, SQL, R etc. When I am on projects I am realizing that many don’t have a handle on their data. Understanding how to engage with teams to collect data is a skill in itself.

You display passion in your presentations and make them easy to understand. Data curation is needed in this portion of my MSN Nursing Informatics program and I’m glad to have your courses as reference tools. As a 26yr VET with Ft. Sam Houston/AMEDD background, I want to thank you for finding/fixing system issues that crossed your path. It is a large organization with “many moving parts”.

Great course, Monika. Salute! 👌🏻

Really interesting and useful information 👍

Designing Big Data Healthcare Studies: Part 1 and Part 2

Learn how to design big data healthcare studies on LinkedIn Learning
Go to course
Go to Course

Thanks for such an informative course.

You are so explicit in your presentations. A lot was learned, more especially the similarities between a cross sectional study and a case control study.

I find your lectures very well thought and easy to understand. I enjoyed as much as I learn from it. You are awesome 😊

Thank you so much for the resources pointed out. I will definitely check them all out. And thank you for the opportunity to link up further in different forums. I will be glad to get further help.

Thank you for the great course.

Thanks for your help … [for] people like me in clinical research get to know it better in the most easiest way possible.

Thank you very much for sharing your knowledge!

Thank you so much Monika Wahi. Yes, I took part 1 too. Great review for study design and big data management. Sure, I’ll definitely take the data curation course too. Thanks for your recommendation.

Thank you Monika for the wonderful course!

Thank you! Yes, I was taking the course for some review but I found it very helpful and well explained.

Thanks! I wanted to finish while the information was still fresh in my mind. I appreciate the recommendation 😁

Thank you very much for your sincere efforts to make statistics fun.

 

Data Science of Experimental Design

Go to course

Thanks Monika! Your course is very insightful!! 👍🏻

…now I know better how to design experimental testing in a way that allows data to be meaningful, powerful, and useful to do or not to do a change. Grateful to learn from your insights! 👏👌

[The] course was refreshing and gave me new perspectives, ideas and concepts that I can readily implement across diverse domains.

Thanks for the super informative course! Using my learnings to fuel smart and effective web design A/B testing! I have a huge insight into the “why and “when” we should experiment, and how incremental change and statistical confidence can work together to yield real measurable

Congratulations on your amazing work and career.

Interesting learning about A/B testing!

Thank you, for the great learning video. I do not want to miss any learning opportunities. Great explanations and demo.

A big thank you Monika Wahi for the course, really valued your inspiring discussions, examples and suggestions. Feel like I’m gaining a new perspective on things from what I learn in this course.

I think, this course is one of the best resources to learn how to design and perform experiments with your product, and how to analyze the experiment results.

If you are curious about A/B testing experiments and want to understand how they really work – this is the ideal place to start.

In case you wonder, why we even need to bother with A/B testing – just know that it can give you useful insights on how to improve the conversion rates of business/marketing metrics of your choice.

I enjoyed completing a small A/B testing project using excel and I am very excited to explore more applications of R for designing, analysing and interpreting experiments and their results.

It was a great course Monika Wahi. Thanks for the additional recommendations!

😀 😊 Will be glad to continue exploring experimental design and the use of secondary data in more detail soon, yep! 😎 🙂 I’m sure that all these virtual learning video-mini-journeys will add many new methods and procedures to someone’s current “inner collection” of research methods and techniques, merci! 🤠 😺😀 🤗

Took me a bit to warm up the theoretical concepts in statistics & raw data analysis but glad I could pull myself to the finish line. Here is the gist of what I have learned…

Healthcare Analytics in R
Part One: Descriptive
and
Part Two: Regression

Take data science courses in open source software on LinkedIn Learning.
Go to course
You can go on LinkedIn Learning and learn regression in different statistical software packages.
Go to course

…As you can see, I am a fan of your courses, they are easy to learn and very instructive, I will continue to train with your courses 😃

Thank you and I’m really excited to use the skills I learned!

It takes little bit of extra time to learn but interesting as well. Thank you very much. I am happy to learn with you.

Many thanks for creating this course! It was extremely informative and so easy to follow.

Many thanks for the clear lessons!

R is something that I recently encountered at a conference I attended, and caught my attention immediately. Having an open source [software] gives our colleagues and professionals the opportunity to research all the options that R has to offer. This [course] opened up the endless possibilities that R is capable of doing.

Thanks for creating courses relevant to biostatistics applications on health care!

Great course!

Thank you!! [I’m] in the process of completing the second course.

Enjoyed reinforcing my R skills while learning applications for the healthcare industry and life sciences research

This was all very easy to grasp! You are a brilliant teacher Monika. I will gladly sign up for more of your courses.

That is great. I will take the [second] course soon, I am grateful for your kind support. Amazing!

Thank you Monika Wahi, It was really enjoyable and friendly for me who has never coded before. The courses have clear explanation, systematic order and the examples files that I can always pause to practice. Throughut the learning, I was able to recall statistics I learned before and comprehend how the data are being analysed. Now I have more confidence on data-related research.

Thank you again for presenting such great courses, I really enjoy them and can’t wait to develop my own analysis.

Thanks Monica! I enjoyed your course and I do plan to set aside time to complete your second course using regression. Your course has been a good supplement to my data analytics masters program and has given me good ideas for my capstone project.

I love your course, particularly the way you structure and organize the your analysis.

[this course was] an excellent opportunity to expand my knowledge and skills in descriptive analytics in R; I’m excited to continue my learning journey and explore more advanced topics. 

SAS Essential Training for Healthcare Research
Part One: Descriptive Analysis
and
Part Two: Regression Analysis

This is a course in SAS descriptive analysis you can do with healthcare data.
Go to course
This course covers regression analysis in SAS, and shows how to fit linear and logistic regression models.
Go to course

A great course on applying SAS Data and PROC steps for descriptive statistics and simple ODS graphs!

Thank you!! Love it…

Keep up the good work in helping us learn more.

I really liked your way of teaching.

Thanks a lot Monika Wahi, you are a great teacher and a kind friend!

I finished the part 2 as well 🙂

Thank you Monika Wahi. It was a pleasure taking your courses. 😊

This course provided me with the knowledge of performing various SAS codes needed for statistical analysis and data visualization, which can help identify patterns and trends in the data, make informed decisions, and develop effective public health interventions.

Thank you Monika for creating these amazing courses and I’ll be sure to start the other courses as well!

Added menu and updated June 25, 2023. Added courses slider September 29, 2023.

Try all of our courses and learning programs!

Applications Basics for Data Analysts and Statisticians

Applications basics are now essential knowledge if you want to do data science in healthcare. [...]

3 Comments

Data Curation Course: Learn Data Curation Online from LinkedIn Learning!

Curation files are especially helpful for communicating about data on teams. Learn more about what [...]

Data Reduction Diagram Enables Data Scientists to Evaluate Selection Bias

Data reduction diagram is used for evaluating selection bias. If you want to be seen [...]

Data Science of Data Collection: Free Course and Course Series!

Learn the “data science of data collection” through my free introductory course! If you want [...]

Data Close-out Course: Learn How to do Data Close-out Online!

Data close-out course is what you need if you want to combine data from multiple [...]

Bivariate Table: How to Make a Descriptive Statistical Summary in Excel

Bivariate table is full descriptive summaries of the variables in the analytic dataset being used [...]

PowerPoint for Visualizations: A Simple Tool for Minimizing Complexity

PowerPoint for visualizations is an easy choice – but you have to do a lot [...]

Excel for Managing Research: Learn How to Use Microsoft Excel as a Research Management Tool

Excel for Managing Research is a short, practical course that will give you the skills [...]

Testimonials for Monika Wahi’s data science courses on LinkedIn Learning are posted here. Read what learners are saying to help you decide if you want to take the courses!

Leave a Reply

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.

Verified by MonsterInsights