Program Objectives
- Develop an Understanding of Data Analytics: Equip leaders with the necessary knowledge to understand and interpret data analytics.
- Enhance Decision-Making Capabilities: Improve the capability of leaders to make data-driven decisions.
- Foster Data Communication Skills: Enable participants to effectively communicate analytical findings.
- Encourage the Application of Analytics in Business Problems: Teach leaders how to apply analytics to solve real-world business challenges.
- Promote the Use of Predictive Analytics and Machine Learning: Provide knowledge on advanced analytical techniques like predictive analytics and machine learning to solve business problems.
Program Outline
- Getting Started
- Introduction to the importance of quantitative thinking.
- Understanding your role as a consumer of analytics.
- Gather the Right Information
- Do you need All that Data?: Assessing the necessity and relevance of data in decision-making.
- Ask your Scientists for Data and Analytics: How to work effectively with data scientists and analysts to get the information you need.
- How to Design a Business Experiment?: Steps for designing experiments to test hypotheses and gather data.
- Know the Difference between your Data and Metrics: Understanding what metrics are important and how they differ from mere data collection.
- Fundamentals of A/B Testing: Introduction to A/B testing methodologies for comparing the effectiveness of different strategies.
- Can your Data be Trusted?: Ensuring the reliability and credibility of your data sources.
- Analyze the Data
- Predictive Analytics Primer: Introduction to predictive analytics, including forecasting and customer behavior prediction.
- Understanding Regression Analysis: Exploring how regression analysis helps in decision-making and when to act on correlations.
- Can Machine Learning Solve your Business Problem? Evaluation of when and how machine learning can be applied to solve business issues.
- A Refresher on Statistical Significance: Understanding the importance of statistical significance in analytics.
- Linear Thinking in a Non-Linear World: Challenges of linear thinking in complex problem solving.
- Pitfalls of Data-Driven Decisions: How to avoid common mistakes in data-driven decision making.
- Communicate Your Findings
- Emphasizing the importance of communication in making data useful and actionable.
- Techniques for effective data presentation and visualization.
Training Completion Certificate
Participants will receive a certificate upon successful completion of the program, which involves passing assessments and actively participating in all scheduled activities.
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