What does the Unlocking Data-Driven Decision Making course cover?
Unlocking Data-Driven Decision Making is covered here in 8 modules: Introduction to Data-Driven Decision Making: Common challenges and pitfalls, Setting Up and Configuring Google Analytics: Configuring goals and events, Understanding Google Analytics Reports: Using segmentation and filtering and 5 more. The outline lists 31 specific topics, opening with defining data-driven decision making and closing with final thoughts and next steps.
How do you approach Unlocking Data-Driven Decision Making step by step?
The work is sequenced in 8 stages. It starts with Introduction to Data-Driven Decision Making: Common challenges and pitfalls, moves through Setting Up and Configuring Google Analytics: Configuring goals and events and Understanding Google Analytics Reports: Using segmentation and filtering, and ends at Final Project and Assessment: Assessment and feedback, Final thoughts and next steps.
What is in Module 1 of the Unlocking Data-Driven Decision Making course?
Module 1 is Introduction to Data-Driven Decision Making: Common challenges and pitfalls. It works through defining data-driven decision making, benefits of data-driven decision making, common challenges and pitfalls and 1 more. It sets the vocabulary the remaining 7 modules build on.
How is the Unlocking Data-Driven Decision Making course delivered?
The Unlocking Data-Driven Decision Making 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 Unlocking Data-Driven Decision Making course cost?
The Unlocking Data-Driven Decision Making 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.
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More answers: what you get with every course, refund policy, all help answers.
Unlocking Data-Driven Decision Making: Mastering Google Analytics and Data Science for Business Growth
Certificate Upon Completion
Upon completing this comprehensive course, participants will receive a certificate issued by The Art of Service, validating their expertise in data-driven decision making using Google Analytics and data science.Course Overview
This interactive and engaging course is designed to provide business professionals with the knowledge and skills necessary to make data-driven decisions using Google Analytics and data science. The course is comprehensive, personalized, up-to-date, and practical, with real-world applications and high-quality content delivered by expert instructors.Course Features
- Interactive and Engaging: Participate in hands-on projects and gamification elements to stay motivated and engaged.
- Comprehensive: Covering over 80 topics, this course provides a thorough understanding of Google Analytics and data science for business growth.
- Personalized: Learn at your own pace and track your progress with our user-friendly and mobile-accessible platform.
- Up-to-date: Stay current with the latest trends and best practices in data-driven decision making.
- Practical: Apply your knowledge to real-world scenarios and case studies.
- High-quality Content: Delivered by expert instructors with extensive experience in Google Analytics and data science.
- Certification: Receive a certificate upon completion, issued by The Art of Service.
- Flexible Learning: Access the course materials anytime, anywhere, and learn at your own pace.
- Community-driven: Join a community of like-minded professionals and stay connected with instructors and peers.
- Actionable Insights: Gain practical knowledge and skills to drive business growth and improvement.
- Hands-on Projects: Apply your knowledge to real-world scenarios and case studies.
- Bite-sized Lessons: Learn in manageable chunks, with each lesson designed to be concise and informative.
- Lifetime Access: Enjoy ongoing access to the course materials, even after completion.
- Progress Tracking: Monitor your progress and stay motivated with our tracking features.
Course Outline
Module 1. Introduction to Data-Driven Decision Making: Common challenges and pitfalls
- Defining data-driven decision making
- Benefits of data-driven decision making
- Common challenges and pitfalls
- Introduction to Google Analytics and data science
Module 2. Setting Up and Configuring Google Analytics: Configuring goals and events
- Creating a Google Analytics account
- Setting up and configuring tracking codes
- Understanding data collection and processing
- Configuring goals and events
Module 3. Understanding Google Analytics Reports: Using segmentation and filtering
- Introduction to Google Analytics reports
- Understanding audience and behavior reports
- Analyzing conversion and goal reports
- Using segmentation and filtering
Module 4. Data Science Fundamentals: Data visualization and communication
- Introduction to data science
- Understanding data types and structures
- Data visualization and communication
- Introduction to machine learning and modeling
Module 5. Data Analysis and Interpretation: Data visualization and storytelling
- Introduction to data analysis
- Understanding descriptive and inferential statistics
- Data visualization and storytelling
- Common data analysis mistakes and pitfalls
Module 6. Advanced Google Analytics Topics: A/B testing and experimentation
- Using Google Analytics APIs and SDKs
- Advanced tracking and measurement techniques
- A/B testing and experimentation
- Using Google Analytics with other Google tools
Module 7. Data-Driven Decision Making in Practice: Common challenges and solutions
- Case studies and examples of data-driven decision making
- Best practices for implementing data-driven decision making
- Common challenges and solutions
- Future of data-driven decision making
Module 8. Final Project and Assessment: Assessment and feedback, Final thoughts and next steps
- Final project: applying data-driven decision making to a real-world scenario
- Assessment and feedback
- Final thoughts and next steps