Data Science Consultant and Educator
Learn Data Science in R
The introductory courses in this eBook provide a range of tutorials in regression analysis and finance, such as:
- Constructing linear and logistic regression models in R and testing for violations
- Stationarity and cointegration testing across time series
- Generating time series forecasts with ARIMA models
Upon subscription, you will also gain optional access to my data science newsletters with my latest tutorials and promotional content.
My name is Michael Grogan, I am a data science consultant and educator with a passion for data science. I help individuals and companies unlock the power of data science in solving some of today's most pressing business intelligence problems. I specialise in the use of Python, R, SQL, and Shiny.
Aside from my work as a consultant, I also host courses on the use of data science technologies, along with my tutorials on this website. So, if you're interested in learning more about machine learning concepts such as neural networks, logistic regressions, decision trees, and many others, you've come to the right place!
- neuralnet: Train and Test Neural Networks Using R August 6, 2018
- ARIMA Models: Stock Price Forecasting with Python and R October 5, 2017
- Cross-Correlation of Currency Pairs In R (ccf) April 17, 2017
Michael Grogan is the best data scientist I have ever worked with. I found him through his web site. From his first email, it was clear Michael is a professional and capable individual who truly cares about his clients and ensuring their success. I had a significant project to complete on a tight timeline.J. Gariepy, Communications Manager
Despite changing expectations and scope, Michael was able to deliver timely, comprehensive, and, most importantly, easy-to-understand analysis of my data. Michael and I live in different continents and are separated by several time zones. This was never an issue and it was easy to communicate with him via Skype and email.
Normally, I don’t write these types of testimonials, but I feel compelled to write one for him, because without his knowledge and willingness to dive deep into my data and utilize different statistical methods, my project would have not been successful. Thanks, Michael.
Michael’s website is a fantastic reference point for anyone interested in Data Science. He provides real world problems and solutions, showing practical applications often lacking in online resources. He approaches Data Science from a strong mathematics background, providing a fresh perspective not found in the mostly computer science based tutorials.B. Larson, Analytics4all
“We certainly want to publish your R-Shiny article. This is a superb effort. To be honest, I don’t get many article drafts as well written, structured and crafted as this, so special kudos for that.”Editor, Sitepoint
Your work was very useful to me, and I also want to incorporate new ideas from your portfolio into the project, such as k-means clustering. After this project, I want to learn more R coding from you - I am very impressed with your work.M. Fawad, PhD Student