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Data Scientist

Covers machine learning, advanced statistics and processing Big Data with Apache Spark and Hadoop.

Course Overview

The aim of this training is to learn how to deal with common data science methods and tools in order to work productively in data science teams. The focus is on machine learning and the acquisition of advanced knowledge in statistics. After completion of the training, the participant is able to recognize patterns and trends with machine learning methods.

Module 1

Data Wrangling

Process data with pandas

Structured, semi-structured and unstructured data

Relational and NoSQL databases

Module 2

Statistical inferences

Test hypotheses

Understand correlation and regression

Apply A / B Testing

Module 3

Machine Learning

Use function libraries (Scikit-learn)

Algorithmic approaches (supervised and unsupervised learning)

Bayesian classification, decision trees, regression and clustering

Module 4

Data Science and Big Data

Introduction to Big Data

Specific tools in theory and application

Course Commitment

Type: Online on-the-job Training

Level: Advanced

Duration: 4 Months

For Individuals

Looking to enhance your data skills?

Are you looking to enhance your digital skills, and stay up to date with industry trends? We can help you convince your employer.

Your Business

A home of data professionals

Are you looking to develop and retain your in-house talent with first-class training in high demand digital skills?