Data Analytics Training

This is the learning path every new member of Data Analytics team has to follow when joining Claranet.

Please feel free to fork and contribute, add materials, fix the existing ones and propose new stuff.

Basic

Foundational

1. Basi concettuali di probabilità e statistica by Paolo Di Sia (it needs to find something similar in English)

Data Analytics

1. 4 Types of Data Analytics to Improve Decision-Making
2. Descriptive Analytics
3. Diagnostic Analytics
4. Predictive Analytics
5. Prescriptive Analytics
6. Data Analytics Fundamentals on AWS Skill Builder

Machine Learning

1. Machine Learning Crash Course (with TensorFlow APIs) by Google

Data visualization

1. The Visual Display of Quantitative Information” by Edward R. Tufte

Specialization

Inspired by How to build a data analytics dream team.

Data engineer

1. Data lakes and data integration with AWS Lake Formation (AWS re:Invent 2019)
2. Deep dive into AWS Lake Formation - Level 300
3. Building serverless analytics pipelines with AWS Glue

Data scientist

1. AWS Glue DataBrew

Data translator

1. Introduction to Amazon QuickSight: Business analytics for everyone

Knowledge engineers, ontologists, and more

1. Getting Started with Amazon Neptune

AWS Certifications

1. Data Analytics Learning Plan on AWS Skill Builder