Become a Minitab Data Scientist

EDUCBA presents Become a Minitab Data Scientist

Become a Minitab Data Scientist

Course Description

5 high-quality and relevant video-based Courses with 16+ hours of well designed, well-crafted study materials Minitab, Predictive Modelling, Descriptive Statistics, Means, Standard Deviation, Analysis of Variance ANOVA, Correlation Techniques, Regression Modeling, Multiple Regression, Identity Equation, P - Value and T – Value, Scatterplot, Multicollinearity, FLux Vs Insolation, Business Metrics. Learn by doing. Verifiable Certificate of Completion for Courses. Full Lifetime Access. Minitab is among the leading developers in the world for statistical analysis software as well as software for Six Sigma, lean and quality improvement projects. Across the world, there are thousands of companies that make use of Minitab software and over 4000 universities and colleges make use of Minitab for the purposes of research and teaching. S... Read More »

5 high-quality and relevant video-based Courses with 16+ hours of well designed, well-crafted study materials Minitab, Predictive Modelling, Descriptive Statistics, Means, Standard Deviation, Analysis of Variance ANOVA, Correlation Techniques, Regression Modeling, Multiple Regression, Identity Equation, P – Value and T – Value, Scatterplot, Multicollinearity, FLux Vs Insolation, Business Metrics. Learn by doing. Verifiable Certificate of Completion for Courses. Full Lifetime Access.

Minitab is among the leading developers in the world for statistical analysis software as well as software for Six Sigma, lean and quality improvement projects. Across the world, there are thousands of companies that make use of Minitab software and over 4000 universities and colleges make use of Minitab for the purposes of research and teaching. Some of the major clients of Minitab consist of Pfizer, Nestle, Royal Bank of Scotland, Boeing, DuPont, and Toshiba.

The Minitab Inc. Has its headquarters in State College, PA and also operates offices in Australia, France, and United Kingdom and an additional number of representatives are present across the globe. The products of Minitab have the backing of outstanding services which consist of technical support as well as training. The Minitab products consist of Minitab 17, Minitab Express, Quality Companion, Quality Trainer and Qeystone.

Predictive Modelling

Predictive Modeling is a process that is used in the case of predictive analytics for the creation of a statistical model with respect to the behavior in future. The area of data mining that is concerned with the forecasting of trends as well as probabilities is predictive analytics. A number of predictors make up the predictive model. These are the variable factors that have a very likely influence on the behavior or the results in the future. For instance, in the case of marketing, the purchase history, age, and gender of the customer may predict the probability of a sale in future.

In the case of predictive modeling, the collection of the data is done for the relevant predictors, the formulation of the statistical model is done, predictions are made after that, followed by the revision or validation of the model as the availability of the data increases. The application of a simple linear equation or a neural network that is complex may be employed by the model. This is mapped out by software which is sophisticated.

Minitab and its Application to Predictive Modelling Course

The Minitab Descriptive Statistics course regarding “Minitab and its Application to Predictive Modelling” is aimed at providing and enhancing the skills of predictive modeling across a number of business domains as well as sectors. Quantitative methods along with the concepts of predictive modelling will be made use of in an extensive way for an understanding of the current behaviour of the customers, movements of the financial markets and for the purpose of studying the tests as well as the effects in the sectors of pharma and medicine after the administration of the drugs.

For the purpose of predictive analysis, the practical and also the theoretical databases are covered by the course. As the participant goes through the training that this course provides, the observations and interpretations along with the predictions and conclusions are explained then and there and relevant examples are also provided.

This Minitab Descriptive Statistics course will be helpful in working across a number of software packages like Paint, PDF writers, MS Office and Minitab. Apart from this, the distribution of the course has been done through six sub-courses. The details of the six sub-courses have been mentioned below –

The aim of the course is to provide Minitab Descriptive Statistics skills from the basic to the intermediate level for the implementation of the concepts of Predictive Modelling with the help of the Minitab software. Although the development of the concepts of Predictive Modelling is significant, the capability of implementing it by making proper use of the appropriate software packages is of equal significance. The Minitab Descriptive Statistics course attempts to fill in the gap that exists between an understanding of the various concepts and their practical implementation.

T-test, Standard Deviation, Means and Minitab Descriptive Statistics are all explained by this course. The concepts of descriptive statistics that are explained by this course act as the building blocks for the other related courses that follow this Minitab Descriptive Statistics course.

The objective of the Minitab Descriptive Statistics Course

The aim of this course on Predictive Modelling is providing and enhancing the skills of predictive modeling across a number of business sectors and domains.

Over the years, EDUCBA has become the training standard for professional services firms, business professionals, and undergraduate and graduate students. Our extremely practical high-quality video library of courses serve professionals and students from all the leading global firms and top Institutes.

The following courses are included in this bundle:

  • Minitab:01 – Application to Predictive Modeling (Descriptive Statistics)
  • Minitab:02 – Analysis of Variance ANOVA in Minitab
  • Minitab:03 – Correlation Techniques
  • Minitab:04 – Regression Modeling
  • Minitab:05 – Predictive Modeling using Microsoft Excel
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Course Details:

Target Audience


  • Students

  • Quantitative and Predictive Modelers and Professionals

  • CFA’s and Equity Research professionals

  • Pharms and research scientists

Access Timeframe

Lifetime

Prerequisites

  • Prior knowledge of Quantitative Methods
  • MS Office and Paint is desired.
Certificate Info:

Type of Certification

Certificate of Completion

Format of Certification

Digital

Professional Association/Affiliation

Certificates are recognized by EDUCBA

Method of Obtaining Certification

Upon successful completion of a course, the learner can download their certificate from their Learner Dashboard.

Course Outline

The Minitab Inc. Has its headquarters in State College, PA and also operates offices in Australia, France, and United Kingdom and an additional number of representatives are present across the globe.
ANOVA stands for Analysis of Variance. It is a statistical method which is used to test the difference between two or more means. It is used to test the specific differences between the means. ANOVA assesses the importance of one or more factors by comparing the variable means at different factor levels.
Correlation is a mathematical concept. In a multi-variable environment, correlation is the statistical technique that helps find out if and to what extent pairs of variables depend on one another. A very simple and oft-quoted example is that of height and weight as variables.
Regression modelling – Regression modelling forms the core of Predictive modelling course. The core objective of this course is to provide skills in understand the regression model and interpreting it for predictions. The associated parameters of the regression model will be interpreted and tested for significance and test the goodness of fit of the given regression model.
In this course you will be learning about how to use data analysis and tools pack for predictive modelling, then you will get to learn about the implementation of Anova using MS Excel, and also you will get to learn about the implementation of T-test and Regression.

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