What does the Performance Data Analysis course cover?
Performance Data Analysis is covered here in 9 modules: Introduction to Performance Data Analysis, Working with Data: Data visualization: introduction to charts and graphs, Spreadsheet Fundamentals: Conditional formatting and data validation and 6 more. The outline lists 33 specific topics, opening with defining performance data analysis and its importance in business decision-making and closing with preparation for certification: final exam and course.
How do you approach Performance Data Analysis step by step?
The work is sequenced in 9 stages. It starts with Introduction to Performance Data Analysis, moves through working with Data: Data visualization: introduction to charts and graphs and Spreadsheet Fundamentals: Conditional formatting and data validation, and ends at final Project and Assessment: Preparation for certification: final exam and course completion.
What is in Module 1 of the Performance Data Analysis course?
Module 1 is Introduction to Performance Data Analysis. It works through defining performance data analysis and its importance in business decision-making, understanding the role of spreadsheets and dashboards in data analysis and overview of key concepts and tools used in the course. It sets the vocabulary the remaining 8 modules build on.
How is the Performance Data Analysis course delivered?
The Performance Data Analysis 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 Performance Data Analysis course cost?
The Performance Data Analysis 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: Spreadsheet Dashboard Mastery, Comprehensive Self-Assessment with Spreadsheets, Spreadsheet Dashboard Creation for Comprehensive Data, Performance Data Analysis with Spreadsheets and Dashboards.
More answers: what you get with every course, refund policy, all help answers.
Mastering Performance Data Analysis: Creating Actionable Insights with Spreadsheets and Dashboards
Course Overview
This comprehensive course is designed to equip you with the skills and knowledge needed to master performance data analysis and create actionable insights using spreadsheets and dashboards. Through interactive and engaging lessons, you'll learn how to work with data, create visualizations, and develop dashboards that drive business decisions.Course Curriculum
Module 1: Introduction to Performance Data Analysis
- Defining performance data analysis and its importance in business decision-making
- Understanding the role of spreadsheets and dashboards in data analysis
- Overview of key concepts and tools used in the course
Module 2. Working with Data: Data visualization: introduction to charts and graphs
- Data types and structures: understanding the basics of data
- Data cleaning and preprocessing: handling missing values and data quality issues
- Data transformation and manipulation: using formulas and functions to work with data
- Data visualization: introduction to charts and graphs
Module 3. Spreadsheet Fundamentals: Conditional formatting and data validation
- Introduction to spreadsheet software: Excel, Google Sheets, and LibreOffice Calc
- Understanding spreadsheet layout and design
- Working with formulas and functions: SUM, AVERAGE, COUNT, and more
- Conditional formatting and data validation
Module 4. Data Visualization with Spreadsheets: Creating interactive dashboards with spreadsheets
- Creating charts and graphs: column charts, line charts, and pie charts
- Customizing charts and graphs: formatting, labels, and titles
- Using pivot tables and pivot charts to analyze data
- Creating interactive dashboards with spreadsheets
Module 5. Dashboard Design and Development: Deploying and sharing dashboards: web, mobile, and print
- Principles of dashboard design: clarity, simplicity, and visual appeal
- Choosing the right dashboard tools: Excel, Tableau, Power BI, and more
- Designing and building dashboards: layout, charts, and interactivity
- Deploying and sharing dashboards: web, mobile, and print
Module 6. Advanced Data Analysis Techniques: Regression analysis: simple and multiple regression
- Regression analysis: simple and multiple regression
- Time series analysis: trends, seasonality, and forecasting
- Text analysis: sentiment analysis and topic modeling
- Machine learning: introduction to supervised and unsupervised learning
Module 7. Creating Actionable Insights: Creating recommendations and action plans
- Defining actionable insights: relevant, timely, and impactful
- Using data storytelling to communicate insights
- Creating recommendations and action plans
- Evaluating the effectiveness of insights and actions
Module 8: Case Studies and Real-World Applications
- Real-world examples of performance data analysis in business and industry
- Case studies: analyzing and solving business problems with data
- Group discussions and activities: applying course concepts to real-world scenarios
Module 9. Final Project and Assessment: Preparation for certification: final exam and course completion
- Final project: applying course concepts to a real-world scenario
- Assessment and feedback: evaluating student progress and understanding
- Preparation for certification: final exam and course completion
Certificate of Completion
Upon completing the course, participants will receive a Certificate of Completion issued by The Art of Service. This certificate verifies that the participant has successfully completed the course and has demonstrated a thorough understanding of the concepts and skills covered.Course Features
- Interactive and engaging lessons: hands-on activities, group discussions, and real-world examples
- Comprehensive curriculum: covering spreadsheet fundamentals, data visualization, dashboard design, and advanced data analysis techniques
- Personalized learning: flexible pace, self-assessment, and feedback
- Up-to-date and practical: using the latest tools and technologies, with real-world applications and case studies
- Expert instructors: experienced professionals with a deep understanding of performance data analysis and spreadsheet software
- Certification: verifying participant completion and understanding of the course material
- Flexible learning: online, self-paced, and mobile-accessible
- User-friendly platform: easy navigation, clear instructions, and technical support
- Community-driven: discussion forums, group activities, and networking opportunities
- Actionable insights: applying course concepts to real-world scenarios and business problems
- Hands-on projects: applying course concepts to real-world scenarios and business problems
- Bite-sized lessons: manageable chunks of learning, with clear objectives and outcomes
- Lifetime access: ongoing access to course materials, updates, and support
- Gamification: interactive elements, quizzes, and challenges to engage and motivate learners
- Progress tracking: monitoring participant progress, with feedback and recommendations