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Mastering Data-Driven Decision Making; A Step-by-Step Guide to Boosting Business Performance with Analytics and Visualization

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Mastering Data-Driven Decision Making: A Step-by-Step Guide to Boosting Business Performance with Analytics and Visualization



Course Overview

In this comprehensive course, you'll learn the art of making data-driven decisions to drive business success. With a focus on analytics and visualization, you'll gain the skills to extract insights from data and communicate them effectively to stakeholders. Upon completion, you'll receive a certificate issued by The Art of Service.



Course Features

  • Interactive and Engaging: Learn through hands-on projects, real-world examples, and interactive lessons.
  • Comprehensive and Personalized: Get tailored learning recommendations and cover all aspects of data-driven decision making.
  • Up-to-date and Practical: Stay current with industry trends and best practices, and apply your knowledge to real-world scenarios.
  • High-quality Content and Expert Instructors: Learn from seasoned professionals with extensive experience in data analysis and visualization.
  • Certification and Flexible Learning: Earn a certificate upon completion and enjoy flexible learning at your own pace.
  • User-friendly and Mobile-accessible: Access the course on any device, anywhere, and enjoy a seamless learning experience.
  • Community-driven and Actionable Insights: Join a community of like-minded professionals and gain actionable insights to drive business success.
  • Lifetime Access and Progress Tracking: Enjoy lifetime access to the course and track your progress to stay motivated.
  • Gamification and Hands-on Projects: Engage in gamified learning and work on hands-on projects to reinforce your understanding.


Course Outline

Module 1: Introduction to Data-Driven Decision Making

  • Defining data-driven decision making
  • The importance of data analysis in business
  • Types of data: qualitative and quantitative
  • Data collection methods: primary and secondary

Module 2: Data Analysis Fundamentals

  • Descriptive statistics: mean, median, mode, and standard deviation
  • Inferential statistics: hypothesis testing and confidence intervals
  • Data visualization: types of charts and graphs
  • Introduction to data mining and machine learning

Module 3: Data Visualization with Tableau

  • Introduction to Tableau and its features
  • Connecting to data sources: Excel, SQL, and cloud storage
  • Creating interactive dashboards: charts, maps, and tables
  • Best practices for data visualization: storytelling and design

Module 4: Data Analysis with Excel

  • Introduction to Excel and its features
  • Data manipulation: filtering, sorting, and pivoting
  • Data analysis: formulas, functions, and charts
  • Best practices for data analysis in Excel: shortcuts and tips

Module 5: Machine Learning and Predictive Analytics

  • Introduction to machine learning: supervised and unsupervised
  • Predictive modeling: regression, classification, and clustering
  • Model evaluation: metrics and cross-validation
  • Introduction to deep learning: neural networks and CNNs

Module 6: Big Data and NoSQL Databases

  • Introduction to big data: definition and characteristics
  • NoSQL databases: types and features
  • Data processing: Hadoop, Spark, and Flink
  • Data storage: HDFS, Cassandra, and MongoDB

Module 7: Data Storytelling and Communication

  • The importance of data storytelling
  • Data presentation: best practices and techniques
  • Communication strategies: written and verbal
  • Creating a data-driven culture: organizational change

Module 8: Case Studies and Project Development

  • Real-world case studies: success stories and failures
  • Project development: from idea to implementation
  • Project management: Agile and Scrum methodologies
  • Final project presentation and feedback


Certificate and Completion

Upon completing all modules and passing the final assessment, you'll receive a certificate issued by The Art of Service, demonstrating your expertise in data-driven decision making.