What does the Data-Driven Decision Making course cover?
Data-Driven Decision Making is covered here in 7 modules: Introduction to Data-Driven Decision Making: Defining data-driven decision making, Descriptive Statistics and Data Visualization: Measures of central tendency and variability, Inferential Statistics and Hypothesis Testing: T-tests, ANOVA, and regression analysis and 4 more.
How do you approach Data-Driven Decision Making step by step?
The work is sequenced in 7 stages. It starts with Introduction to Data-Driven Decision Making: Defining data-driven decision making, moves through Descriptive Statistics and Data Visualization: Measures of central tendency and variability and Inferential Statistics and Hypothesis Testing: T-tests, ANOVA, and regression analysis, and ends at Final Project and Assessment: Course wrap-up and next steps.
What is in Module 1 of the Data-Driven Decision Making course?
Module 1 is Introduction to Data-Driven Decision Making: Defining data-driven decision making. It works through defining data-driven decision making, the importance of data analysis in business, understanding data types and sources and 1 more. It sets the vocabulary the remaining 6 modules build on.
How is the Data-Driven Decision Making course delivered?
The 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 Data-Driven Decision Making course cost?
The 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.
Closely related courses: Unlocking Data-Driven Insights, Data-Driven Insights, Data Visualization with Qlik, Data Visualization with Tableau.
More answers: what you get with every course, refund policy, all help answers.
Data-Driven Decision Making: Mastering Statistical Analysis and Visualization for Business Insights
Course Overview
In this comprehensive course, you'll learn the fundamentals of data-driven decision making, statistical analysis, and data visualization to drive business insights. With a focus on practical, real-world applications, you'll gain the skills and confidence to make informed decisions and drive business success.Course Curriculum
Module 1. Introduction to Data-Driven Decision Making: Defining data-driven decision making
- Defining data-driven decision making
- The importance of data analysis in business
- Understanding data types and sources
- Introduction to statistical analysis and data visualization
Module 2. Descriptive Statistics and Data Visualization: Measures of central tendency and variability
- Measures of central tendency and variability
- Data visualization techniques: histograms, box plots, and scatter plots
- Introduction to data visualization tools: Tableau, Power BI, and D3.js
- Best practices for creating effective visualizations
Module 3. Inferential Statistics and Hypothesis Testing: T-tests, ANOVA, and regression analysis
- Introduction to inferential statistics and hypothesis testing
- Understanding confidence intervals and p-values
- T-tests, ANOVA, and regression analysis
- Common pitfalls and misconceptions in hypothesis testing
Module 4. Predictive Modeling and Machine Learning: Introduction to deep learning and neural networks
- Introduction to predictive modeling and machine learning
- Linear regression, logistic regression, and decision trees
- Model evaluation and selection: metrics and techniques
- Introduction to deep learning and neural networks
Module 5. Data Storytelling and Communication: Creating persuasive presentations and reports
- The art of data storytelling: narrative and visual techniques
- Effective communication of data insights to stakeholders
- Creating persuasive presentations and reports
- Best practices for data visualization in communication
Module 6. Case Studies and Real-World Applications: Group discussions and peer feedback
- Real-world examples of data-driven decision making
- Case studies: finance, marketing, healthcare, and more
- Applying course concepts to real-world scenarios
- Group discussions and peer feedback
Module 7. Final Project and Assessment: Course wrap-up and next steps
- Final project: applying course concepts to a real-world problem
- Assessment and feedback: peer review and instructor evaluation
- Course wrap-up and next steps
- Certificate of Completion issued by The Art of Service
Course Features
- Interactive and engaging: Quizzes, group discussions, and hands-on projects
- Comprehensive and personalized: 80+ topics, tailored to your needs and goals
- Up-to-date and practical: Real-world applications and case studies
- High-quality content and expert instructors: Renowned experts in data science and statistics
- Certification and flexible learning: Learn at your own pace, with lifetime access
- User-friendly and mobile-accessible: Learn on any device, anywhere
- Community-driven and actionable insights: Join a community of like-minded professionals and gain actionable insights
- Hands-on projects and bite-sized lessons: Apply course concepts to real-world problems, in manageable chunks
- Lifetime access and gamification: Track your progress and earn rewards