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Analytics Excellence Einstein Analytics
Analytics Excellence Einstein Analytics
Start Date
16/05/2024
End Date
31/08/2024
Category
CRM
Week 1: Introduction to Einstein Analytics
– Get a firm grasp on analytics and BI with Einstein Analytics
– Explore the platform’s features for data visualization, insights, and AI-driven analytics
– Set your goals and objectives for mastering analytics with Einstein
Week 2: Data Preparation and Modeling in Einstein Analytics
– Learn how to prepare and load data into Einstein Analytics from various sources
– Clean, transform, and enrich your data with Einstein Analytics’s data preparation tools
– Build data models and relationships to support analytical insights and visualizations in Einstein Analytics
Week 3: Exploratory Data Analysis (EDA) with Einstein Analytics
– Explore and analyze your data using interactive dashboards and lenses in Einstein Analytics
– Create and customize dashboards, charts, and widgets to visualize key metrics and KPIs
– Conduct ad-hoc analysis and data discovery to uncover insights and patterns in Einstein Analytics
Week 4: Advanced Analytics and Predictive Modeling with Einstein Analytics
– Leverage advanced analytics features in Einstein Analytics for predictive modeling and forecasting
– Build and deploy machine learning models for predictive analytics and scoring in Einstein Analytics
– Use Einstein Analytics’s predictive insights to drive data-driven decision-making and actions
Week 5: AI-Powered Analytics with Einstein Discovery
– Get introduced to Einstein Discovery and its capabilities for AI-driven predictive analytics
– Build and deploy predictive models and recommendations using Einstein Discovery
– Integrate Einstein Discovery insights into Einstein Analytics dashboards and workflows for actionable insights
Week 6: Storytelling with Data in Einstein Analytics
– Learn how to communicate insights and findings effectively through data storytelling techniques in Einstein Analytics
– Create compelling narratives and visualizations to convey analytical insights and recommendations
– Use Einstein Analytics’s storytelling features to engage stakeholders and drive decision-making
Week 7: Dashboard Design and Optimization in Einstein Analytics
– Design intuitive and user-friendly dashboards in Einstein Analytics for different audiences and use cases
– Optimize dashboard performance and layout for maximum usability and impact
– Implement best practices for dashboard design, navigation, and interactivity in Einstein Analytics
Week 8: Collaboration and Sharing in Einstein Analytics
– Collaborate with stakeholders and team members through Einstein Analytics’s sharing and collaboration features
– Share insights and dashboards securely with different user roles and permissions in Einstein Analytics
– Use Einstein Analytics’s mobile and offline capabilities for accessing and interacting with analytics on the go
Week 9: Governance and Administration in Einstein Analytics
– Implement governance policies and guidelines for data access, security, and compliance in Einstein Analytics
– Manage users, licenses, and data access controls in Einstein Analytics’s administration console
– Monitor and optimize Einstein Analytics performance and usage to ensure scalability and reliability
Week 10: Case Studies and Best Practices
– Analyze real-world examples of successful Einstein Analytics implementations and analytics projects
– Work on group projects to develop and present analytics solutions and use cases using Einstein Analytics
– Participate in a Q&A session and wrap up the course with a bang!
Accordion #2
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