*COURSE DETAILS* :
*COURSE DETAILS* :
Training type | Instructor-led Online |
---|---|
Facilities | Industry Expert Trainer | 24*7 Virtual Lab Access | Study Materials |
Batch Strength | 10 |
Timings | 2 – 4 Hours in a day |
Duration | 40 Hours |
Fee | $18.05 |
Upcoming | Upcoming Class |
Course overview
Skills measured
• Prepare the data (15–20%)
•Model the data (30–35%)
• Visualize and analyze the data (30–35%)
• Deploy and maintain assets (10–15%)
Prepare the data (15–20%)
Get data from different data sources
• Identify and connect to a data source
•Change data source settings
• Select a shared dataset or create a local dataset
•Select a storage mode
• Use Microsoft Dataverse
•Change the value in a parameter
• Connect to a data flowClean, transform, and load the data
• Profile the data•Resolve inconsistencies, unexpected or null values, and data quality issues
•Identify and create appropriate keys for joins
•Evaluate and transform column data types
• Shape and transform tables
• Combine queries
•Apply user-friendly naming conventions to columns and queries
• Configure data loading
•Resolve data import errors
Model the data (30–35%)
Design a data model
• Define the tables
• Configure table and column properties
• Design and implement role-playing dimensions
• Define a relationship’s cardinality and cross-filter direction
• Design a data model that uses a star schema
•Create a common date table Develop a data model
• Create calculated tables
• Create hierarchies
• Create calculated columns
• Implement row-level security roles
• Use the Q&A feature
- 24*7 Lab Access
- Online Training
- Instructor-led Training
- One-to-one Sessions
- Advanced Lab Equipments