Course Outline
Introduction to Datameer for Government
- Overview of the Datameer platform and its architecture
- Cloud-native capabilities and integration with Snowflake
- Navigating the Datameer workspace and user interface
Connecting and Exploring Data for Government
- Adding and managing connections to data sources such as Snowflake, S3, and RDBMS
- Importing datasets and working with schemas
- Exploring datasets visually using Workbench and Explorations
Data Transformation and Preparation for Government
- Building projects: visual and SQL-based workflows
- Applying filters, joins, unions, and groupings to data sets
- Utilizing built-in functions and expressions for data manipulation
- Implementing version control and tracking transformation lineage
Data Collaboration and Governance for Government
- Sharing projects and defining user roles
- Tagging and organizing datasets for efficient management
- Managing metadata and creating glossaries for data consistency
Visualization and Reporting for Government
- Creating interactive dashboards and visual widgets
- Utilizing various chart types including bar, pie, line, and sunburst charts
- Sharing insights and exporting results for reporting purposes
Advanced Use Cases for Government
- Automating data transformations with scheduled jobs
- Implementing data sampling and optimization techniques
- Monitoring job performance and troubleshooting issues
Final Labs and Review for Government
- Participating in hands-on, scenario-based labs to apply learned skills
- Recapping key features and conducting a Q&A session
Summary and Next Steps for Government
Requirements
- Basic experience with data analysis tasks, including filtering, joining, and summarizing data for government use.
- Familiarity with spreadsheets or business intelligence tools (e.g., Excel, Power BI, Tableau).
- Some exposure to SQL is beneficial but not required.
Audience
- Data analysts for government agencies
- Business analysts for government departments
- Data professionals in the public sector
Testimonials (4)
Deepthi was super attuned to my needs, she could tell when to add layers of complexity and when to hold back and take a more structured approach. Deepthi truly worked at my pace and ensured I was able to use the new functions /tools myself by first showing then letting me recreate the items myself which really helped embed the training. I could not be happier with the results of this training and with the level of expertise of Deepthi!
Deepthi - Invest Northern Ireland
Course - IBM Cognos Analytics
Share example of application
Course - Alteryx for Data Analysis
Very clearly articulated and explained
Harshit Arora - PwC South East Asia Consulting
Course - Alteryx for Developers
Linear regression - the algorithm to predict the trend
