Preparation and Transformation of Data with IBM Data Refinery [W7S166G]
Beschreibung
Ontdek de verschillende trainingsmogelijkheden bij Global Knowledge
Online of op locatie er is altijd een vorm die bij je past.
Kies op welke manier jij of je team graag een training wilt volgen. Global Knowledge bied je verschillende trainingsmogelijkheden. Je kunt kiezen uit o.a. klassikaal, Virtueel Klassikaal (online), e-Learning en maatwerk. Met onze Blended oplossing kun je de verschillende trainingsvormen combineren.
OVERVIEW
Preparation and transformation of data with IBM Data Refinery is the third course in the learning path for professional data scientists that are working with the IBM Cloud Pak for Data platform. The course aims to familiarize data scientists with the data cleansing, and data shaping capabilities of the Data Refinery tool. Data Refinery saves preparation time by quickly transforming large amounts of raw data into consumable, high-quality information that's ready for analytics.
Learners follow the story of Sara (the data scientist), Muneiza (the data engineer), Liam (the data steward), and Tim (the data quality analyst) working in the Data Analytics department of a large health produc…
Frequently asked questions
Es wurden noch keine FAQ hinterlegt. Falls Sie Fragen haben oder Unterstützung benötigen, kontaktieren Sie unseren Kundenservice. Wir helfen gerne weiter!
Ontdek de verschillende trainingsmogelijkheden bij Global Knowledge
Online of op locatie er is altijd een vorm die bij je past.
Kies op welke manier jij of je team graag een training wilt volgen. Global Knowledge bied je verschillende trainingsmogelijkheden. Je kunt kiezen uit o.a. klassikaal, Virtueel Klassikaal (online), e-Learning en maatwerk. Met onze Blended oplossing kun je de verschillende trainingsvormen combineren.
OVERVIEW
Preparation and transformation of data with IBM Data Refinery is the third course in the learning path for professional data scientists that are working with the IBM Cloud Pak for Data platform. The course aims to familiarize data scientists with the data cleansing, and data shaping capabilities of the Data Refinery tool. Data Refinery saves preparation time by quickly transforming large amounts of raw data into consumable, high-quality information that's ready for analytics.
Learners follow the story of Sara (the data scientist), Muneiza (the data engineer), Liam (the data steward), and Tim (the data quality analyst) working in the Data Analytics department of a large health products company. The company plans a marketing campaign around coupons that are issued to customers and wants to better understand customer behavior. But they first need to access and prepare the relevant data for analytics. The team will mainly use IBM Data Refinery for this task.
Follow along with Sara, Muneiza, Liam, and Tim's story as learners create a suitable data set ready for analytics. Learners verify their acquired knowledge by completing several hands-on lab exercises in a remote classroom environment (provided to each learner during the course introduction).
Company Events
These events can be delivered exclusively for your company at our locations or yours, specifically for your delegates and your needs. The Company Events can be tailored or standard course deliveries.
OBJECTIVES
After completing this course, you should be able to:
- Outline the role of the Data Refinery tool in the ModelOps process.
- Use Data Refinery to profile data.
- Construct various data visualizations.
- Use Data Refinery to analyze and transform data into consumable, high-quality information ready for analytics and machine learning.
- Implement Data Refinery management tasks.
CONTENT
- Introduction to Data Refinery
- Connect to your data
- Profile and visualize your data
- Analyze and transform your data
- Manage Data Refinery flows
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