Course information

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

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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.

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What’s included in this Predictive Analytics Course?

  • World-Class Training Sessions from Experienced Instructors
  • Predictive Analytics Certificate
  • Digital Delegate Pack

Why choose us

Our Munich venue

Includes..

Free Wi-Fi

To make sure you’re always connected we offer completely free and easy to access wi-fi.

Air conditioned

To keep you comfortable during your course we offer a fully air conditioned environment.

Full IT support

IT support is on hand to sort out any unforseen issues that may arise.

Video equipment

This location has full video conferencing equipment.

Munich is the largest and capital city of the German state Bavaria. It has an estimated population of about 1.5 million inhabitants; making Munich the third largest city in Germany, after Berlin and Hamburg. The educational system in Munich is also run by the German state and is compulsory for children to attend school up to the age of 18; and offers many public and private schools for children. The school system and is divided into four levels: Kindergarten Education is for children aged from three to 6, Elementary Education (Grundschule) is from Grade 1 to Grade 4, After Elementary School, children can go onto one of the three types of schools, Hauptschule, Realschule or Gymnasium, depending on their academic ability, academic achievement, self-confidence, the ability to work independently, and student’s family wishes; These Secondary education are form Grades 5 to 9 or 10 and is compulsory up to the age of 18, and Higher Education.

The city also offers scientific research institutions including The Max Planck Society which is an independent non-profit German research organisation. Munich has many universities including The Ludwig Maximilian University (LMU), also known as University of Munich, and The Technische Universität München (TUM); the University of Munich was established in 1472 making it the oldest university in the German state. The Ministries of Education and Research of the Federation and the German states (Länder) awarded these two of the first three German universities the title ‘Elite University’. The Ludwig Maximilian University (LMU) and the Technische Universität München (TUM) and the Technical University of Karlsruhe (Karlsruhe Institute of Technology) are considered Elite Universities thus have grater chances for research funds.

Munich is well known for the amount of Nobel Prize laureates starting with Nobel Prize laureates from 1901 including Wilhelm Conrad Röntgen to 2005 with Theodor Hänsch.

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Address

Novotel Hotel
Munich Airport
Nordallee 29
Munich
85356 DE

T: +49 8000101090

Ways to take this course

Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led Predictive Analytics Course in Munich. 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.

Unlock your potential with The Knowledge Academy's Predictive Analytics Course in Munich, 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.

Experience the most sought-after learning style with The Knowledge Academy's Predictive Analytics Course in Munich. Available in 490+ locations across 190+ countries, our hand-picked Classroom venues offer an invaluable human touch. Immerse yourself in a comprehensive, interactive experience with our expert-led Predictive Analytics Course in Munich sessions.

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Highly experienced trainers

Boost your skills with our expert trainers, boasting 10+ years of real-world experience, ensuring an engaging and informative training experience

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State of the art training venues

We only use the highest standard of learning facilities to make sure your experience is as comfortable and distraction-free as possible

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Small class sizes

Our Classroom courses with limited class sizes foster discussions and provide a personalised, interactive learning environment

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Great value for money

Achieve certification without breaking the bank. Find a lower price elsewhere? We'll match it to guarantee you the best value

Streamline large-scale training requirements with The Knowledge Academy's In-house/Onsite at your business premises. Experience expert-led classroom learning from the comfort of your workplace and engage professional development.

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Tailored learning experience

Leverage benefits offered from a certification that fits your unique business or project needs

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Maximise your training budget

Cut unnecessary costs and focus your entire budget on what really matters, the training.

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Team building opportunity

Our offers a unique chance for your team to bond and engage in discussions, enriching the learning experience beyond traditional classroom settings

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Monitor employees progress

The course know-how will help you track and evaluate your employees' progression and performance with relative ease

What our customers are saying

Predictive Analytics Course in Munich 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 Munich starts from €2895
The Knowledge Academy is the Leading global training provider for Predictive Analytics Course.
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Many delivery methods

Flexible delivery methods are available depending on your learning style.

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High quality resources

Resources are included for a comprehensive learning experience.

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"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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