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Predictive Analytics Course Overview
Predictive Analytics Course Outline
Module 1: Introduction to Predictive Analytics
- What is Predictive Analytics?
- How Does Predictive Analytics Works?
- Business Intelligence
- Business Intelligence Lifecycle
- Predictive Analytics Vs Business Intelligence
- Predictive Analytics Challenges
Module 2: Setting Up the Problem
- Predictive Analytics Processing Steps
- Target Variable
- Success Measures for Predictive Models
- Data for Predictive Modelling
Module 3: Understanding the Data
- Single and Multiple Variables
- Data Visualisation
- Histograms
Module 4: Data Preparation
- Data Cleaning
- Feature Creation
Module 5: Itemsets and Association Rules
- Association Rules
- Parameter Settings
- Data Organisation Techniques
- Deploying Association Rules
- Making Classification Rules from Association Rules
Module 6: Descriptive Modelling
- Introduction to Descriptive Modelling
- Principal Component Analysis
- Clustering Algorithms
Module 7: Interpreting Descriptive Models
- Introduction to Descriptive Analytics
- How Does Descriptive Analytics Work?
- Advantages of Descriptive Analytics
Module 8: Predictive Modelling
- Introduction to Predictive Modelling
- Decision Tree
- Types of Decision Trees
- Logistic Regression
- Neural Networks
- K-Nearest Neighbour
- Naïve Bayes
- Linear Regression
Module 9: Predictive Models Assessment
- Introduction to Predictive Models Assessment
- Metrics to Evaluate Predictive Models
Module 10: Model Ensembles
- Ensemble Modelling
- Types of Model Ensembles
- Bias Variance Trade-Off
- Bagging and Boosting
- Interpreting Model Ensembles
Module 11: Text Mining
- Introduction to Text Mining
- Structured Vs Unstructured Data
- Text Mining Applications
- Steps of Data Preparation
- Regular Expressions
Module 12: Predictive Model Deployment
- Introduction to Predictive Model Deployment
- Building Predictive Models
Who should attend this Predictive Analytics Course?
This Predictive Analytics Training Course aims to provide professionals with the core concepts, techniques, and tools used to predict future events based on historical data and delves into the various stages of the analytics life cycle. This training can help various professionals, including:
- Data Scientists
- Business Analysts
- Marketing Analysts
- Financial Analysts
- Business Intelligence Professionals
- Risk Managers
- CRM Professionals
Prerequisites of the Predictive Analytics Course
There are no formal prerequisites required for attending this Predictive Analytics Training Course.
Predictive Analytics Course Overview
Predictive Analytics is a powerful tool in the data science domain that plays a crucial role in foreseeing unknown future events that organisations must navigate. Utilising techniques like data mining, modelling, statistics, Artificial Intelligence, and Machine Learning, predictive analytics empowers organisations to identify forthcoming risks and opportunities by deciphering patterns within transactional and historical data.
Proficiency in Predictive Analytics is indispensable for a range of professionals, including Data Scientists, Business Analysts, Marketing Experts, Financial Analysts, and decision-makers in diverse industries. As organisations seek a competitive edge, Predictive Analytics offers a strategic advantage, allowing professionals to anticipate market trends, customer behaviours, and operational efficiencies.
The Knowledge Academy’s 2-day course provides delegates with knowledge on essential aspects like data cleaning, feature creation, item sets, and association rules. This training equips delegates with the knowledge to uncover valuable patterns and associations within data. Regardless of their field, individuals keen on augmenting their data science skill set will benefit from this training, gaining familiarity with predictive modelling techniques.
Course Objectives
- To master the predictive analytics process, including data cleaning and feature creation
- To gain proficiency in uncovering valuable patterns and associations using itemsets and association rules
- To explore various predictive modelling techniques, such as logistic regression and Naïve Bayes
- To develop the skills to apply predictive models effectively in real-world scenarios
- To enhance decision-making by leveraging data-driven predictions and insights
- To empower organisations to become forward-looking and proactive using predictive analytics
By the end of this Data Science Training Course, the delegates will possess the skills to develop and apply predictive models effectively, enabling them to make data-driven predictions, optimise decision-making processes, and unlock new avenues for organisational growth.
What’s included in this Predictive Analytics Course?
- World-Class Training Sessions from Experienced Instructors
- Predictive Analytics Certificate
- Digital Delegate Pack
Why choose us
Ways to take this course
Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led Predictive Analytics Course. Engage directly with expert instructors, mirroring the classroom schedule for a comprehensive learning journey. Enjoy the convenience of virtual learning without compromising on the quality of interaction.
Live classes
Join a scheduled class with a live instructor and other delegates.
Interactive
Engage in activities, and communicate with your trainer and peers.
Global Pool of the Best Trainers
We handpick from a global pool of expert trainers for our Online Instructor-led courses.
Expertise
With 10+ years of quality, instructor-led training, we equip professionals with lasting skills for success.
Global Reach
With classes running in all timezones, access any of our courses and course material from anywhere, anytime.
Unlock your potential with The Knowledge Academy's Predictive Analytics Course, accessible anytime, anywhere on any device. Enjoy 90 days of online course access, extendable upon request, and benefit from the support of our expert trainers. Elevate your skills at your own pace with our Online Self-paced sessions.
What our customers are saying
Predictive Analytics Course FAQs
Predictive Analytics employs statistical algorithms, Data Analysis, and Machine Learning to anticipate future outcomes based on past data and trends. It focuses on extracting patterns, identifying correlations, and predicting future events or behaviours.
Predictive Analytics is used to forecast future events and behaviours by analysing historical data. It helps businesses make informed decisions, improve efficiency, and identify opportunities for growth by predicting trends, customer behaviour, and potential risks.
There are no formal prerequisites for attending this course.
This certification offers benefits like improved decision-making, enhanced efficiency, competitive advantage, risk mitigation, revenue growth, and expanded career opportunities.
This Online Predictive Analytics Course is ideal for Data Analysts, Business Analysts, Statisticians, Marketing Professionals, and anyone keen on leveraging data to forecast trends, make strategic decisions, and drive business growth.
This course comes with a 2-day training session from experienced trainers, a digital delegate pack, and a certificate upon completion of the course.
Yes. The Knowledge Academy offers 24/7 support for delegates before, during, and after this training course.
The duration of this Predictive Analytics Online Course spans across 2 days.
Predictive Analytics exams are typically conducted online or in-person at testing centres. The format usually includes multiple-choice questions, practical data analysis tasks, and case studies to assess understanding of predictive modelling techniques, data interpretation, and application of analytics tools.
Learn Predictive Analytics to unlock roles like Data Scientist, Business Analyst, and Marketing Analyst. These skills are valuable across industries for forecasting trends, optimising strategies, and making data-driven decisions in finance, healthcare, supply chain, and research domains.
Common tools include R, Python, TensorFlow, SAS, SPSS, Tableau, and Power BI for statistical analysis, Machine Learning, data manipulation, and visualisation.
You'll learn predictive modelling fundamentals, data preprocessing, various algorithms like regression and neural networks, model evaluation, and practical application to real-world scenarios.
Predictive Analytics forecasts future events using historical data, while descriptive analytics summarises past data to understand what happened and why.
Challenges include data quality, model selection, overfitting, interpretability, domain knowledge integration, and deployment into existing systems.
The Knowledge Academy stands out as a prestigious training provider known for its extensive course offerings, expert instructors, adaptable learning formats, and industry recognition. It's a dependable option for those seeking this course.
The training fees for Predictive Analytics Coursein Canada starts from CAD4295
The Knowledge Academy is the Leading global training provider for Predictive Analytics Course.
Please see our Data Science Courses courses available in Canada
Why choose us
Best price in the industry
You won't find better value in the marketplace. If you do find a lower price, we will beat it.
Many delivery methods
Flexible delivery methods are available depending on your learning style.
High quality resources
Resources are included for a comprehensive learning experience.
"Really good course and well organised. Trainer was great with a sense of humour - his experience allowed a free flowing course, structured to help you gain as much information & relevant experience whilst helping prepare you for the exam"
Joshua Davies, Thames Water
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