Data
Business Analytics
Duration
2 Days
Languages
French - English
Trainer(s)
Michèle NANKAP - Lead Data Insight Astrakhan
Data creates opportunities to make better decisions, but it is necessary to understand how multiple sources interpret data. Choosing the right algorithm is a skill to develop. Knowing the place of human judgment is also necessary to take advantage of better business results.
In this program, you will understand the models that help you get the most out of your data. You will also know what framework to build with skills and tools to create value. You will go through the best tools on the market. You will have a keen understanding of artificial intelligence and how you can use it when analyzing your data.
Target Audience
- Managers
- Operational staff
- Data Analysts
Prerequisites
- Excellent knowledge of spreadsheet tools (Excel)
- Understanding of statistical models
Course Delivery
On site,
in your offices
Remote,
via Teams
Podcasts
Workshops
Training Program
SESSION 1 – DEFINITION & INTRODUCTION TO BUSINESS ANALYTICS
Presentation of the participants and the training (key points)
Introduction to data: concepts, fields, data domains
The Era of data and the place of Data Analytics in the Data Value Chain:
- Differences between Business Analytics and Business Intelligence
- Links between Business Analytics and Data Visualization
Types of analytics (Linear regression, Decision Tree, Logistic Regression)
- Descriptive Analysis: examples
- Predictive Analysis: examples
- Prescriptive Analysis: examples.
How to find data
Q&A
SUMMARY
Data analysis models: each example comes from an actual implementation
- Random forest
- Clustering
- IA/deep learning
Introduction to data analysis platforms
- Microsoft Azure
- Alteryx
- Dataïku
- Tibco
Artificial Intelligence
- What is Artificial Intelligence
- How can AI benefit from data analysis?
Examples
