Predictive Analytics Training





Predictive Analytics Training
Predictive Analytics E-Learning Award-winning E-Learning Training Extensive interactive videos with spoken text Certified teachers Practical exercises Certificate.
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Predictive Analytics E-Learning Training
Learn to turn data into foresight – strengthen business decisions through predictive analytics!
Why choose this training?
Predictive analytics is a game-changer for modern organizations. It allows you to forecast outcomes, improve processes, and make smarter business decisions. This award-winning Predictive Analytics E-Learning Training provides the knowledge and tools to use data for actionable insight—without being locked into any specific software.
Key features:
✔️ 1 year of 24/7 access to interactive videos, hands-on tasks, and expert narration
✔️ Intermediate to advanced content for both technical and non-technical users
✔️ Coverage of core topics like modeling strategies, regression, classification, and algorithm selection
✔️ Software-independent approach with examples in Excel, Minitab, R, and RapidMiner
✔️ Progress tracking and certificate of completion included
This course empowers professionals across marketing, finance, HR, risk, and strategy to apply predictive analytics effectively in their domain.
Who should enroll?
This course is ideal for:
- Data and business analysts enhancing their analytics toolkit
- Marketing and sales professionals seeking to forecast trends and behavior
- HR leaders applying people analytics in planning and decision-making
- Finance and risk professionals working with data models
- Anyone interested in unlocking the power of data to predict future outcomes
Course content
Predictive Analytics & Big Data
Course: 38 Minutes
- Course Introduction
- What is Predictive Analytics?
- Shedding Light with Predictive Analytics
- Features of Predictive Analytics Models
- Big Data
- Big Data Considerations and Sources
Process & Application
Course: 59 Minutes
- Course Introduction
- Sales, Marketing, and Operations
- Banking and Insurance
- Technology and Healthcare
- Government and Crime Prevention
Key Statistical Concepts
Course: 1 Hour, 2 Minutes
- Course Introduction
- Predictive Analytics and Statistics
- Types of Data
- Data Measurement Scales
- Descriptive vs. Inferential Statistics
Correlation & Regression
Course: 34 Minutes
- Course Introduction
- Overview of Correlation
- Correlation and Predictive Analytics
- Correlation and Causation
- Statistical Significance of Correlation
- Introduction to Regression Analysis
- Best Fit and Residual Analysis
- Logistic Regression for Predictive Analytics
Data Collection & Exploration
Course: 47 Minutes
- Course Introduction
- Choosing Predictive Data
- Timing and Quantity of Data
- Common Data Sources
- Extract, Transform, and Load Data
- Data Warehousing and Data Marts
- Relational Database Management System and Hadoop
Data Mining, Data Distributions, & Hypothesis Testing
Course: 43 Minutes
- Course Introduction
- Descriptive Data Analytics
- Prescriptive Data Analytics
- What Is Data Mining?
- Data Mining Concepts and Techniques
- Methods for Data Mining
Data Preprocessing
Course: 31 Minutes
- Course Introduction
- The Need to Clean Messy Data
- Outlier Identification and Handling
- Transforming, Normalizing, and Scaling Data
- Variable Partitioning
- Dummy Variables and Variable Removal
- Approaches for Handling Missing Data
- Imputation for Continuous Data
Data Reduction & Exploratory Data Analysis (EDA)
Course: 45 Minutes
- Course Introduction
- Dimension Reduction
- Principal Component Analysis for Numerical Data
- Information Theory Approach to Feature Selection
- Chi-square Feature Selection Method
- Wrapper Data Reduction Method
- Factor Analysis
K-Nearest Neighbor (k-NN) & Artificial Neural Networks
Course: 45 Minutes
- Course Introduction
- Overview of the k-NN Algorithm
- Distance and Weight Measures for Numeric Attributes
- Proximity Measures for Non-numeric Attributes
- Implementing the k-NN Algorithm
A/B Testing, Bayesian Networks, and Support Vector Machine
Course: 47 Minutes
- Course Introduction
- Overview of A/B Testing
- A/B Testing Features
- Implementing A/B Testing
Clustering Techniques
Course: 41 Minutes
- Course Introduction
- Introduction to Clustering
- Types of Clustering Techniques
- Proximity Measures for Clustering
Linear and Logistic Regression
Course: 49 Minutes
- Course Introduction
- Linear Regression Overview
- Sum of Squared Errors
- Ordinary Least Squares (OLS)
- Drawing Inferences
Text Mining & Social Network Analysis
Course: 55 Minutes
- Course Introduction
- Overview of Text Mining
- Assigning within Document Predictor Variables
- Text Normalization
- Assigning across Document Predictor Variables
- Term Frequency and Inverse Document Frequency
- Sentiment Analysis
- Text Mining Applications
Time Series Modeling
Course: 38 Minutes
- Course Introduction
- Time Series Overview
- Stationary and Nonstationary Data Series
- Time Series Decomposition
Machine Learning, Propensity Score, & Segmentation Modeling
Course: 54 Minutes
- Course Introduction
- Machine Learning Overview
- Machine Learning Tools and Process
- Deep Learning
- Supervised vs. Unsupervised Methods
- Ensemble Techniques for Machine Learning
- Ensemble Performance Considerations and Metrics
Random Forests & Uplift Models
Course: 40 Minutes
- Course Introduction
- Random Forest Overview
- Decision Tree Characteristics
- Random Forest Model Error Measurement
- Random Forest Model Concepts
Model Life Cycle Management
Course: 36 Minutes
- Course Introduction
- Understanding Business Objectives and Data
- Model Development and Deployment
- Model Deployment Planning
- Stakeholder Management
- User Training and Model Documentation
- Model Recalibration and Maintenance
- Business Validation and Benchmarks
Model Development, Validation, & Evaluation
Course: 1 Hour, 1 Minute
- Course Introduction
- Model Building Process and Data Discovery
- Data Cleaning and Preparation
- Data Preprocessing and Model Building
Start mastering predictive analytics today!
Make smarter, data-driven decisions in any business area.
✔️ Learn proven modeling techniques and forecasting methods
✔️ Apply your skills in real-world business contexts
✔️ Get certified and add value to your role
Lesson duration | 15:45 hours |
---|---|
Language | English |
Certificate of participation | Yes |
Online access | 365 days |
Progress monitoring | Yes |
Award Winning E-learning | Yes |
Suitable for mobile | Yes |
Purchase | One-time fee |
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