Duration
Business Analytics and Data Driven Decision Making using Business Intelligence
1 day
What You will Learn
- Describe the essential concepts of data analytics and machine learning
- Describe the elements of Industry 4.0 and Data Driven Decision Making
- Design and tune a machine learning model and make the predictions
- Measure the accuracy of a machine learning algorithm
- Recognize the different algorithms of regression and their usages
- Build different classification models and validate them
- Build the market basket analysis models and generate related graphs
Course Outline
1- Reviewing the Analytics essentials:
- Introduction to Analytics
- Data vs Information vs Actionable Insights
- Analytics Projects Pipeline
- Descriptive, Diagnostic, Predictive, and prescriptive Analytics
- Data Analysis Iteration
- Stages of Data Analysis Process
- Epicycles of Analysis
2- Industry 4.0
- Industrial Revolution (from 1.0 to 4.0)
- 9 pillars of IR 4.0
- An example of augmented reality
- How to get prepared for IR 4.0
3- Identifying Business Problems:
- Six type of Questions and Characteristics of a Good Question
- Detecting business problems
- Identifying Project objectives using SMART methodology
- Designing a data analytics project using SPAP model
4- Building Dashboards in Tableau:
- Introducing Tableau features
- Connecting Tableau to data sources
- Navigating Tableau
- Creating a calculated field
- Creating different types of graphs
- Building Dashboards
5- Building a Machine Learning model:
- Introduction to machine learning
- Training and test datasets
- How to prepare datasets
- Error rates in machine learning
- How to measure the accuracy of machine learning algorithms
- How to improve the accuracy of machine learning algorithms
- Some case studies on usage of Machine Learning in real world
6- Market Basket Analysis:
- Introduction to Market Basket Analysis
- Terminology: Items, Transactions and Rules
- What does it mean by Support and Confidence?
- Association Rules
- How to do Market Basket Analysis
- Some case studies on usage of Market Basket Analysis in real world
Programme scope, delivery arrangements and suitability are confirmed during enquiry.