Data Mining and Predictive Analytics
Overview
Data Mining and Predictive Analytics
Predictive analytics gives businesses a competitive edge through a range of techniques from data mining, statistics, predictive modelling and more. Increase the probability of the future of your teams success.
Study time: Full time – 3 days| Part time – 2 weeks
Vendor: Skillsoft
Business support: Our customer success team measures and ensures engagement
Prerequisites: None
Assessment: Exam based – ECSS
Ideal for: analysts, marketers, sales, software, and IT professionals
Meet the trainer
Steve Scott has been a software developer and IT Consultant for 16 years. Steve’s career has been spent serving clients across the globe, responsible for building software architecture, hiring development teams, and solving complex problems through code. Now with a toolbox of languages, platforms, tools, and APIs, Steve rounds out his coding background with ongoing formal study in Mathematics and Computer Science at Mount Allison University.
“Data is growing faster than ever before and by the year 2020, about 1.7 megabytes of new information will be created every second for every human being on the planet”
Content overview
- Predictive Analytics & Big Data
- Process & Application
- Key Statistical Concepts
- Correlation & Regression
- Data Collection & Exploration
- Data Mining, Data Distributions, & Hypothesis Testing
- Data Preprocessing
- Data Reduction & Exploratory Data Analysis (EDA)
- K-Nearest Neighbor (k-NN) & Artificial Neural Networks
- A/B Testing, Bayesian Networks, and Support Vector Machine
- Clustering Techniques
- Linear and Logical Regression
- Text Mining & Social Network Analysis
- Time Series Modeling
- Machine Learning, Propensity Score, & Segmentation Modeling
- Random Forests & Uplift Models
- Model Life Cycle Management
- Model Development, Validation, & Evaluation
Our Promise
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