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Data Analytics Strategy training course

Improve the processes & outputs of your Data Science or Analytics projects

JBI training course London UK

"The course was very comprehensive with clear examples and good exercises. It was a good to understand the capabilities and basics of Python. The material is very clear. I like the fact that additional material has been shared for practice."

EW, Electronic Engineer, Python, January 2021

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JBI training course London UK

• Gain an overview of Data Management specialties
• Understand the Lifecycle of Data Analytics projects: the Cross-Industry Standard Process for Data Mining (CRISP-DM)
• Data Science project specification using the CRISP-DM framework
• Data Science project de-risking
• Limitations of the CRISP-DM framework
• Overview on modern challenges: DataOps and MLOps
• Governance and GDPR overview

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

JBI training course London UK

Data Scientists, Data Analysts, Data Science Managers and Consultants who want to successfully deliver Data Science projects, gain confidence in their process and improve the output of their team.

 


4.8 out of 5 average

"The course was very comprehensive with clear examples and good exercises. It was a good to understand the capabilities and basics of Python. The material is very clear. I like the fact that additional material has been shared for practice."

EW, Electronic Engineer, Python, January 2021

 

Watch Client feedback from Data Analytics training courses:

JBI training course London UK
 
Top 20 "Pain Points" for Data Analysts
 

Problem 11 : You have a very complex Excel spreadsheet and you want to reproduce EXACTLY the same spreadsheet in Power BI
Solution: Power BI is not Excel, it works differently and it has different strengths. In order to tackle this issue the best way is going back to the source and try to...

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