Predictive analytics can be a huge discriminator for business decision-making. Its application in marketing and sales, finance, HR, risk management and security, and business strategy might help in driving revenues, reducing costs, and providing competitive advantage to businesses.

Vskills Predictive analytics certificate course will help you to learn predictive analytics, key tools, and their application at the intermediate to advanced level to a wide variety of business and technical users at all levels in the organization.

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* You will receive an online access to e-learning (videos), hard copy material is not applicable to this course.


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Why should one take Predictive Analytics Certification?

This Course is intended for professional and graduates wanting to excel in their chosen areas. It is also well suited for those who want to learn key predictive analytics and modeling concepts, common tools and algorithms, and most importantly business applications of predictive analytics.

The online training course itself is software independent and will be using one or several of these software tools in examples: Excel, Minitab, R, and RapidMiner.


Who will benefit from taking Predictive Analytics Certification?

Job seekers looking to find employment in IT or software development departments of various companies, students generally wanting to improve their skill set in predictive analytics and make their CV stronger and existing employees looking for a better role can prove their employers the value of their skills through this certification.


Companies that hire Vskills Predictive Analytics Professionals

Predictive analytics professionals are in great demand. Companies like Accenture, Flipkart, TCS & Cognizant having a continuous demand for the professionals. Various public sector companies also need Analytics professionals for their different departments.


Predictive Analytics Table of content

https://www.vskills.in/certification/predictive-analytics-table-of-content


Predictive Analytics Table of content

https://www.vskills.in/certification/predictive-analytics-sample-questions

 

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Table of Content


Predictive Analytics & Big Data

  • Predictive Analytics and Big Data
  • Predictive Analytics Evolution


Process & Application

  • Applications of Predictive Analytics
  • Predictive Analytics Process and Technology
  • Practice: Identifying the Type of Analytics


Key Statistical Concepts

  • Importance of Statistics in Analytics
  • Overview of Probability Theory
  • Using Statistics in Predictive Analytics


Correlation & Regression

  • Introduction
  • Practice: Applying Statistical Approaches


Data Collection & Exploration

  • Data Needs and Sources
  • Data Collection and Exploration


Data Mining, Data Distributions, & Hypothesis Testing

  • Data Mining and Analytics
  • Data Distributions and Hypothesis Testing
  • Practice: Data Mining Methods


Data Preprocessing

  • Pre-processing Data

Data Reduction & Exploratory Data Analysis (EDA)

  • Data Reduction with PCA and Factor Analysis
  • Tools for Exploratory Data Analysis (EDA)
  • Practice: Using PCA for Feature Selection


A/B Testing, Bayesian Networks, and Support Vector Machine

  • A/B Testing
  • Naïve Bayes and Bayesian Belief Networks
  • Support Vector Machines
  • Practice: Applying Predictive Approaches


Artificial Neural Networks

  • K-Nearest Neighbor (k-NN)
  • K-Nearest Neighbor (k-NN) & Artificial Neural Networks


Clustering Techniques

  • Using Clustering Techniques
  • K-Means Clustering
  • Hierarchical Clustering and DBSCAN


Linear and Logical Regression

  • Linear Regression
  • Logistic Regression
  • Practice: Linear Regression Inference


Text Mining & Social Network Analysis

  • Text Mining
  • Social Network and Media Analytics


Time Series Modeling

  • Introduction to Time Series
  • Time Series Forecasting Models
  • Practice: Time Series Modeling Concepts


Machine Learning, Propensity Score, & Segmentation Modeling

  • Machine Learning
  • Propensity Score and Segmentation Modeling


Random Forests & Uplift Models

  • Random Forests
  • Uplift Models
  • Practice: Advanced Predictive Tools


Model Life Cycle Management

  • Introducing Model Life Cycle Management


Model Development, Validation, & Evaluation

  • Model Building
  • Model Considerations and Validation
  • Model Evaluation
  • Practice: Classification Model Performance


“Exam scheduling to be done through user account” / “Exam once scheduled cannot be cancelled”
Date of Examination
15-Dec-2018
22-Dec-2018
05-Jan-2019
06-Jan-2019
19-Jan-2019
20-Jan-2019
02-Feb-2019
03-Feb-2019
16-Feb-2019
17-Feb-2019
02-Mar-2019
03-Mar-2019
16-Mar-2019
17-Mar-2019
06-Apr-2019
07-Apr-2019
20-Apr-2019
21-Apr-2019
Examination Time
01:00 PM - 02:00 PM
02:30 PM - 03:30 PM
04:00 PM - 05:00 PM
05:30 PM - 06:30 PM
10:00 AM - 11:00 AM
11:30 AM - 12:30 PM

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