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BEGIN:VEVENT
UID:20260515T064645Z - 2404@eu441a.odoo.com
DTSTART;TZID=Europe/Brussels:20250210T090000
DTEND;TZID=Europe/Brussels:20250214T160000
CREATED:20260515T064645Z
DESCRIPTION:<a href="https://www.sustain.brussels/event/introduction-to-dat
 a-science-training-track-102/register">Introduction to Data Science - Trai
 ning Track</a>\nDescription Dive into the world of data-driven decision-ma
 king with our comprehensive Data Science course. Designed for professional
 s from diverse backgrounds this course equips you with essential skills to
  harness the power of data for insightful analysis and predictive modeling
 . In the first part of the course\, we will provide solid theoretical base
 s\, introducing core concepts in data science such as data types\, data fo
 rmats\, data quality issues and predictive modeling. In order to facilitat
 e application in practical settings\, these concepts will be directly rela
 ted to existing use cases under the supervision of the course lecturers. F
 or the second part of the course\, we will employ industry standard Python
  packages (e.g. pandas\, numpy\, scikit-learn)\, to develop a prototype of
  a data analysis pipeline. Participants are assumed to already have a work
 ing knowledge of programming (ideally Python)\, but additional self-learni
 ng resources will be provided if needed. Course Content ● Introduction t
 o Data Science and Data Analytics ● The four flavors of Data Analytics: 
 Descriptive\, Diagnostic\, Predictive\, Prescriptive ● Implementing a da
 ta analysis pipeline with Python ● Data Science in Practice: Do’s\, Do
 nt’s and Ethical considerations Learning Outcomes By the end of this cou
 rse you should be able to: ● Explain the core concepts involved in a Dat
 a Science project (i.e data types\, data storage\, data analysis\, predict
 ive modeling)\; ● Examine an existing situation to identify what suitabl
 e Data Science methodologies and analysis are applicable ● Develop a pro
 totype of a data analysis pipeline using Python and its data science toolk
 it (pandas\, seaborn\, sci-kit learn\, …)Price Thanks to the support of 
 the European Commission and Innoviris in the framework of the EDIH sustAIn
 .brussels\, SMEs and midcaps receive this training free of charge (0€)\,
  in the context of de minimis [...]
DTSTAMP:20260515T064645Z
LOCATION:sustAIn.brussels\, Kantersteen 16\, 1000 Brussel\, Belgium
SUMMARY:Introduction to Data Science - Training Track
X-ALT-DESC;FMTTYPE=text/html:<a href="https://www.sustain.brussels/event/in
 troduction-to-data-science-training-track-102/register">Introduction to Da
 ta Science - Training Track</a>\nDescription Dive into the world of data-d
 riven decision-making with our comprehensive Data Science course. Designed
  for professionals from diverse backgrounds this course equips you with es
 sential skills to harness the power of data for insightful analysis and pr
 edictive modeling. In the first part of the course\, we will provide solid
  theoretical bases\, introducing core concepts in data science such as dat
 a types\, data formats\, data quality issues and predictive modeling. In o
 rder to facilitate application in practical settings\, these concepts will
  be directly related to existing use cases under the supervision of the co
 urse lecturers. For the second part of the course\, we will employ industr
 y standard Python packages (e.g. pandas\, numpy\, scikit-learn)\, to devel
 op a prototype of a data analysis pipeline. Participants are assumed to al
 ready have a working knowledge of programming (ideally Python)\, but addit
 ional self-learning resources will be provided if needed. Course Content 
 ● Introduction to Data Science and Data Analytics ● The four flavors o
 f Data Analytics: Descriptive\, Diagnostic\, Predictive\, Prescriptive ●
  Implementing a data analysis pipeline with Python ● Data Science in Pra
 ctice: Do’s\, Dont’s and Ethical considerations Learning Outcomes By t
 he end of this course you should be able to: ● Explain the core concepts
  involved in a Data Science project (i.e data types\, data storage\, data 
 analysis\, predictive modeling)\; ● Examine an existing situation to ide
 ntify what suitable Data Science methodologies and analysis are applicable
  ● Develop a prototype of a data analysis pipeline using Python and its 
 data science toolkit (pandas\, seaborn\, sci-kit learn\, …)Price Thanks 
 to the support of the European Commission and Innoviris in the framework o
 f the EDIH sustAIn.brussels\, SMEs and midcaps receive this training free 
 of charge (0€)\, in the context of de minimis [...]
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