What Is Predictive Analytics | How Does Predictive Analytics Work | Data Analytics | Simplilearn

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In this "Predictive Analytics" tutorial, you will gain a comprehensive understanding of the concepts, methods, and applications of predictive analytics. The tutorial will start by introducing the fundamentals of predictive analytics, explaining how it leverages historical data and statistical models to forecast future outcomes. You will learn about the importance of data quality, data exploration, and feature engineering in preparing the data for analysis. The tutorial will then cover various predictive modeling techniques, including regression analysis, classification algorithms, and time series forecasting. You will understand how these methods can be applied to different types of data and prediction problems. By the end of the tutorial, you will have a solid foundation in predictive analytics, enabling you to apply these techniques to real-world scenarios, make data-driven predictions, and derive valuable insights that can drive better decision-making and improve business outcomes.

Following are the Topics Covered in this tutorial:

00:00 Introduction to Predictive Analytics
02:04 What is Predictive Analytics?
03:21 Why Learning Predictive Analytics is Important?
04:51 How Predictive Analytics Work?
07:04 Why use Data Models for Predictive Analytics
09:47 Types of Predictive Analytics Models
11:18 Real Life Use Cases of Predictive Analytics

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This Data Analytics Program is ideal for all working professionals and prior programming knowledge is not required. It covers topics like data analysis, data visualization, regression techniques, and supervised learning in-depth via our applied learning model with live sessions by leading practitioners and industry projects.

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✅ Skills Covered

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- Statistical Analysis using Excel
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- Linear and logistic regression modules
- Clustering using kmeans
- Supervised Learning

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