TESCO Data Learning objectives

1. Airflow

2. Machine Learning

2.1. Datacamp

2.2. 3 hours

2.2.1. 6:00-9:15

3. Azure platform

3.1. 3 hours

3.1.1. 6:00-9:15

4. Python

4.1. The Complete Python Course | Learn Python by Doing

4.2. 3.5 hours

4.2.1. 10:00-14:00

5. Spark

5.1. Spark Starter Kit

5.2. Spark @ Nanocity

5.3. Datacamp

5.3.1. Introduction to PySpark

5.3.2. Cleaning Data with PySpark

5.3.3. Big Data Fundamentals with PySpark

5.3.4. Machine Learning with PySpark

5.3.5. Feature Engineering with PySpark

5.3.6. Building Recommendation Engines with PySpark

5.4. Taming Big Data with Apache Spark and Python - Hands On!

5.5. 1.5 hours

5.5.1. 14:00-17:00

6. DevOps

6.1. CICD setup and automation

6.1.1. Git repository

6.1.1.1. Introduction to Git

6.1.2. Test automation

6.1.2.1. Elegant Automation Frameworks with Python and Pytest

6.2. Containerisation / Docker

6.2.1. Docker essentials

6.2.2. Python in Containers

6.3. Some understanding of Kubernetes as runtime environement

6.3.1. Azure Kubernetes Service - AKS

6.4. 45 mins

6.4.1. 9:15-10:00