Module #1 Introduction to Data-Driven Decision Making Defining data-driven decision making, its importance, and benefits
Module #2 Understanding the Decision-Making Process Overview of the decision-making process and where data fits in
Module #3 Data Literacy Fundamentals Basic concepts of data analysis, including data types, variables, and data quality
Module #4 Working with Data Hands-on experience with data, including data cleaning, manipulation, and visualization
Module #5 Data Visualization Essentials Best practices for creating effective data visualizations
Module #6 Descriptive Statistics and Data Analysis Calculating and interpreting summary statistics, including mean, median, and standard deviation
Module #7 Inferential Statistics and Hypothesis Testing Introduction to inferential statistics, including hypothesis testing and confidence intervals
Module #8 Data Mining and Machine Learning Basics Overview of data mining and machine learning concepts, including supervised and unsupervised learning
Module #9 Predictive Modeling Building and interpreting predictive models, including regression and decision trees
Module #10 Data Storytelling and Communication Effectively communicating insights and results to stakeholders
Module #11 Big Data and NoSQL Databases Introduction to big data, Hadoop, and NoSQL databases
Module #12 Cloud-Based Data Tools and Services Overview of cloud-based data tools and services, including AWS, Google Cloud, and Azure
Module #13 Data Governance and Ethics Best practices for data governance, ethics, and compliance
Module #14 Case Study:Analyzing Customer Data Hands-on analysis of customer data to drive business decisions
Module #15 Case Study:Optimizing Operations with Data Using data to optimize business operations and improve efficiency
Module #16 Data-Driven Decision Making in Practice Real-world examples of data-driven decision making in various industries
Module #17 Building a Data-Driven Culture Strategies for promoting a data-driven culture within an organization
Module #18 Overcoming Barriers to Data-Driven Decision Making Addressing common challenges and obstacles to data-driven decision making
Module #19 Data-Driven Decision Making in the Digital Age The role of data-driven decision making in the digital transformation of business
Module #20 Emerging Trends in Data-Driven Decision Making Exploring new technologies and approaches in data-driven decision making
Module #21 Best Practices for Data Quality and Management Ensuring data quality and implementing effective data management strategies
Module #22 Advanced Data Visualization Techniques Using interactive and dynamic visualizations to tell more effective stories
Module #23 Machine Learning for Business Users Applying machine learning concepts to business problems without requiring deep technical expertise
Module #24 Course Wrap-Up & Conclusion Planning next steps in Data-Driven Decision Making career
