watermark picture

Applications of Data Science and Machine Learning in Business

Dou you have a basic understanding of data science and machine learning but want some insights in how to apply this knowledge in a business context?

Much ink has been spilled about big data and AI but today there is real world value in data science and machine learning. This course introduces you to some classic and state of the art data science and machine learning techniques, applied in the real world. For example: churn prediction, customer segmentation and targeting, product recommendation, task automation, anomaly detection, predictive maintenance, sentiment analysis, ...

In this training

  • We advance upon the training 'Introduction to Data Science and Machine Learning’
  • Show you how to apply classic and recent data science techniques in the real-world
  • Give you practical insights and how you some specific examples in a business context

After this training

You will learn how to apply classic and recent data science methods in a business context.

This training is for

  • Data professionals that want to add machine learning to their skills
  • Data enthusiasts that want to get a grasp of these methods
  • People with basic programming skills that want to explore this field

Related cases

Related blogs

Hive vs Iceberg Tables in AWS Athena

Choosing the Best Option for Your Data Pipelines with dbt

Read More

How to build a cost-effective and robust streaming data pipeline

Envision a situation where you're tasked with managing clickstream data received via Snowplow. In this blog post, we'll guide you through our solution, step by step.

Read More

Anticipating the EU AI Act - What Every Business Should Ask Itself Today

The EU AI Act has arrived and we're at a crossroads: do we wait for regulations to guide us, or do we start asking the hard questions now?

Read More

Is the Generative AI hype real? A look at the AI Gartner Hype Cycle

Everyone has heard about the potential AI has in transforming industries and domains, as well as the world as a whole...  But is this hype real?

Read More
From Data to Impact talks

From Data to Impact talks

More impact out of your data?