What you would learn in Predictive Modeling and Time Series Analysis with Minitab course?
The goal of this program is to assist participants master all abilities required to use Minitab. The program is designed to assist the trainee in performing every statistical analysis using Minitab. It also aims to help the trainees learn about all topics that fall within the scope of Minitab. Themes like Minitab GUI and Descriptive Statistics and statistical Analysis Utilizing Minitab as well as Correlation Techniques within Minitab and Predictive Modeling with Excel are covered within this course. Module. The course module will discuss the project on Data Analytics using Minitab and Project on Minitab - Regression Modeling. The purpose of this class is to assist individuals in gaining knowledge of using Minitab to conduct analyses of time-series data and forecast it for every kind of statistical issue. It will aid all curious trainees in expanding their knowledge in the field of Data Analytics. The training will also help students to comprehend the kinds of problems that can be solved by this method. After completing the training, the participant will acquire the knowledge required for time series analysis and forecasting data.
To comprehend the meaning behind Minitab's "name" of the course, let us dissect the curse and learn about the course word-for-word to ensure that the purpose of the course is evident to our students and we can create an expectation of our students who would take the course. Let's get started on understanding the concept of Minitab. Minitab is a tool that is used to perform use cases for statistics. Minitab, as a software, can analyze data, pattern recognition using statistics, and crunch data. Most calculations are automated, and graphs are produced by the functions required by the analyst working on the application. For this particular course, we will use Minitab to perform Time Series Analysis and Forecasting.
Let's now understand what time series analysis is. Data from time series is a compilation of data that spans a time or period. The data collected over time will typically have an internal structure, for instance, autocorrelation, trends, seasonality, stationarity, and a myriad of other such basic concepts. For instance, let us consider the market for umbrellas and raincoats. We can observe that when selling these products, we could encounter the seasonality factor, which means that is, they could be bought at an incredibly high price at the beginning of heavy rain. We can also see that the data could automatically correlate to promotions set by certain stores, whether offline or online and other such complex details based on the knowledge of analysis using time.
Once we have figured out how to analyze the time series, it is obvious the purpose of the study or the hypothesis we came up with in the research. This is the answer to forecasting! It is possible to understand the basics using historical time series data and then use this deep understanding to make predictions or predict the future. This way, we'll be able to identify the historical trends and seasonality and apply them to understand what's to come for the future.
It is a compilation of carefully crafted tutorials or topics we'd typically discuss to fully comprehend the concept of analysis of time series and forecasting. This course will enable you to understand the nuances of what's in the time series basket analysis for the professional project you will be confronted with when you start the task in your company. This course helps you get to that point of being the "handful" of people who can crack even the most challenging nut in the business world.
The confidence you develop during this program will help you not just analyze the meaning that time-series data can provide. Still, it will also enable you to guide people who have just begun their journey in the time series analysis. The course does not distinguish between beginner and advanced learners. It is essential to study for all those who want to broaden their scope of knowledge. We would also like to emphasize how this program will provide the foundation for a solid understanding of time series analysis, for you will be capable of building a solid mansion on this base layer.
Content of the Course:
- This course of study aims to aid trainees in learning all the abilities needed to work using Minitab.
- The training program will assist the student in completing all statistical analyses using Minitab. The program is also designed to ensure that the students know all topics.
- Topics such as Minitab GUI and Descriptive Statistics and Statistics Analysis with Minitab and Correlation Techniques using Minitab as well as Predictive Modeling with Excel
- Data Analytics with Minitab, along with Project on Minitab Regression Modeling, will be covered in the project module.