What does the Einstein Analytics course cover?
Einstein Analytics is covered here in 6 modules: Introduction to Einstein Analytics: Basic navigation and user interface, Data Preparation and Management: Data transformation and manipulation, Data Visualization and Reporting: Creating effective data visualizations and 3 more. The outline lists 24 specific topics, opening with Overview of Einstein Analytics and its capabilities and closing with Measuring and evaluating the success of Einstein Analytics.
How do you approach Einstein Analytics step by step?
The work is sequenced in 6 stages. It starts with Introduction to Einstein Analytics: Basic navigation and user interface, moves through Data Preparation and Management: Data transformation and manipulation and Data Visualization and Reporting: Creating effective data visualizations, and ends at Best Practices and Optimization: Change management and adoption strategies.
What is in Module 1 of the Einstein Analytics course?
Module 1 is Introduction to Einstein Analytics: Basic navigation and user interface. It works through Overview of Einstein Analytics and its capabilities, understanding the importance of data-driven decision making, Setting up and configuring Einstein Analytics and 1 more. It sets the vocabulary the remaining 5 modules build on.
How is the Einstein Analytics course delivered?
The Einstein Analytics course is fully self-paced with immediate online access after enrolment. Access does not expire and future updates are included at no cost. It can be taken on any device, and a certificate of completion is issued by The Art of Service when you finish.
How much does the Einstein Analytics course cost?
The Einstein Analytics course is $199 as a one time payment. There is no subscription, no per seat licence and no hidden fee. Enrolment carries a 30 day satisfied or refunded guarantee, so it can be assessed in full before you commit.
Closely related courses: Salesforce Einstein, Unlocking AI-Powered Sales Strategies, Unlocking AI-Driven Sales Strategies.
More answers: what you get with every course, refund policy, all help answers.
Einstein Analytics: Unlocking Data-Driven Decision Making
Course Overview
This comprehensive course is designed to equip you with the skills and knowledge needed to unlock the full potential of Einstein Analytics. With a focus on interactive and engaging learning, you'll gain hands-on experience with real-world applications and develop the expertise needed to drive data-driven decision making in your organization.Course Objectives
- Understand the fundamentals of Einstein Analytics and its role in data-driven decision making
- Learn how to design and implement effective analytics solutions
- Develop skills in data visualization, reporting, and dashboard creation
- Master advanced analytics techniques, including predictive analytics and machine learning
- Apply Einstein Analytics to real-world business scenarios and use cases
Course Outline
Module 1. Introduction to Einstein Analytics: Basic navigation and user interface
- Overview of Einstein Analytics and its capabilities
- Understanding the importance of data-driven decision making
- Setting up and configuring Einstein Analytics
- Basic navigation and user interface
Module 2. Data Preparation and Management: Data transformation and manipulation
- Data sources and connectivity options
- Data transformation and manipulation
- Data quality and governance best practices
- Managing data security and access controls
Module 3. Data Visualization and Reporting: Creating effective data visualizations
- Creating effective data visualizations
- Designing and building reports and dashboards
- Using charts, tables, and other visualization components
- Best practices for data storytelling and presentation
Module 4. Advanced Analytics Techniques: Building and deploying predictive models
- Predictive analytics and machine learning fundamentals
- Building and deploying predictive models
- Using Einstein Discovery for automated insights
- Advanced data analysis and data mining techniques
Module 5. Real-World Applications and Use Cases: Financial analysis and planning with Einstein Analytics
- Applying Einstein Analytics to sales and marketing scenarios
- Using Einstein Analytics for customer service and support
- Financial analysis and planning with Einstein Analytics
- Supply chain and operations optimization with Einstein Analytics
Module 6. Best Practices and Optimization: Change management and adoption strategies
- Optimizing Einstein Analytics for performance and scalability
- Best practices for data management and governance
- Change management and adoption strategies
- Measuring and evaluating the success of Einstein Analytics
Course Features
- Interactive and Engaging: Hands-on projects and real-world applications
- Comprehensive: Covers all aspects of Einstein Analytics, from fundamentals to advanced techniques
- Personalized: Tailored to your needs and goals, with flexible learning options
- Up-to-date: Reflects the latest features and best practices in Einstein Analytics
- Practical: Focuses on real-world applications and use cases
- High-quality Content: Developed by expert instructors with extensive experience in Einstein Analytics
- Certification: Receive a certificate upon completion, issued by The Art of Service
- Flexible Learning: Accessible on desktop, tablet, or mobile devices
- User-friendly: Easy-to-use interface and navigation
- Community-driven: Connect with peers and instructors through online forums and discussions
- Actionable Insights: Apply your knowledge and skills to real-world scenarios and use cases
- Lifetime Access: Enjoy ongoing access to course materials and updates
- Gamification: Engage with interactive elements and track your progress
- Progress Tracking: Monitor your progress and stay motivated
Course Format
This course is delivered online, with interactive and engaging content, including:- Video lessons and tutorials
- Hands-on projects and exercises
- Real-world case studies and scenarios
- Interactive quizzes and assessments
- Downloadable resources and templates
Prerequisites
None, although prior experience with data analysis and visualization is recommended.Target Audience
This course is designed for:- Business analysts and data analysts
- Marketing and sales professionals
- Customer service and support teams
- Financial analysts and planners
- Supply chain and operations managers
- IT professionals and developers