Data Analytics Strategy training course

Overview on Data Management specialties

Master Data Management
Data Quality
Data Security
Data Governance
Data Warehousing

Lifecycle of Data Analytics projects: the Cross-Industry Standard Process for Data Mining
(CRISP-DM)

Data Science project specification using the CRISP-DM framework

Business understanding:
determine objectives
produce a plan

Data understanding:
collect
describe
explore
initial data
assess data quality

Data preparation:
select
clean
integrate
reformat data

Modelling:
select modelling techniques
generate experimental design
build models

Evaluation:
assess model results
evaluate business criteria
review process

Deployment:
project review
plan deployment
monitoring and maintenance

Data Science project de-risking
Why do Data Science projects fail?
Tools and techniques for Exploratory Data Analysis
Rapid Prototyping for early risk identification

Limitations of the CRISP-DM framework

Overview on modern challenges:
DataOps
MLOps

Governance overview:
Governance
GDPR