Course Curriculums
Predictive Modling and Implementation Using MS Excel:
Predictive Modelling and Implementation using MS Excel course aims to provide and enhance predictive modelling skills across business sectors/domains. Quantitative methods and predictive modelling concepts could be extensively used in understanding the current customer behaviour, financial markets movements, and studying tests and effects in medicine and in pharma sectors after drugs are administered. The course picks theoretical and practical datasets for predictive analysis. Implementations are done using Microsoft Excel. Observations, interpretations, predictions and conclusions are explained then and there on the examples as we proceed through the training.
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.
Course Objective:
Target Customers:
Pre-Requisites:
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Section 1 Introduction
1 Using Data Analysis Toolpak
2 Implementation of Descriptive Statistics
3 Descriptive statistics – Input Range
4 Implementation of ANOVA
5 Implementation of T – Test
6 Implementation Using Correlation
7 Implementation Using Regression
Here is a sample for the course completion certificate which you will receive after complete the course. This certificate is widely accepted across industries and will boost your chances to grab the job opportunities.
Mail us at: [email protected] with below details to receive your certificate:
Course Certificate:-
Here is a sample for the course completion certificate which you will receive after complete the course. This certificate is widely accepted across industries and will boost your chances to grab the job opportunities.
Mail us at: [email protected] with below details to receive your certificate:
Course Certificate:-
Section 1 Introduction
1 Using Data Analysis Toolpak
2 Implementation of Descriptive Statistics
3 Descriptive statistics – Input Range
4 Implementation of ANOVA
5 Implementation of T – Test
6 Implementation Using Correlation
7 Implementation Using Regression