Course details

Predictive Modeling: Predictive Analytics & Exploratory Data Analysis

Predictive Modeling: Predictive Analytics & Exploratory Data Analysis


Overview/Description
Expected Duration
Lesson Objectives
Course Number
Expertise Level



Overview/Description

Explore the machine learning predictive analytics, exploratory data analytics, and different types of data sets and variables in this 9-video course. Discover how to implement predictive models and manage missing values and outliers by using Python frameworks. Key concepts covered in this course include predictive analytics, a branch of advanced analytics, and its process flow, and learning how analytical base tables can be used to build and score analytical models. Next, you will discover business problems that can be resolved by using predictive modeling; how to build predictive models with the Python framework; and learn the essential features of exploratory data analysis. Then learn about data sets, collections of data corresponding to the content of a single database or a single statistical data matrix, and then learn the variables of the different types of data sets including univariate, bivariate, and multivariate data and analytical approaches that can be implemented with them. Finally, you will learn about methods that can be used to manage missing values and outliers in data sets.



Expected Duration (hours)
0.7

Lesson Objectives

Predictive Modeling: Predictive Analytics & Exploratory Data Analysis

  • Course Overview
  • define the predictive analytics and describe its process flow
  • describe analytical base table and how it can be used to build and score analytical models
  • identify the business problems that can be resolved using predictive modeling
  • build predictive models using the Python framework
  • list essential features of exploratory data analysis
  • describe univariate, bivariate, and multivariate data and analytical approaches that can be implemented with them
  • specify methods that can be used to manage missing values and outliers in datasets
  • list applications of predictive analytics, describe analytical base tables, list predictive models, and specify variable selection methods
  • Course Number:
    it_mlfupddj_01_enus

    Expertise Level
    Intermediate