Is Ford missing critical opportunities hidden within its data? Unlock the power of data-driven decision-making and drive Ford's future forward. This course equips you with the skills to transform raw data into actionable insights, leading to increased efficiency, innovation, and profitability.
- Boost Efficiency by 20%: Streamline processes and identify areas for improvement using data analysis techniques.
- Drive Innovation: Uncover hidden market trends and unmet customer needs to fuel the development of groundbreaking products and services.
- Increase Profitability: Optimize pricing strategies, reduce operational costs, and target high-potential customer segments for maximum revenue generation.
- Become a Data-Driven Leader: Gain the confidence and expertise to champion data-driven decision-making across your team and organization.
- Module 1-5: Data Fundamentals: Grasp core statistical concepts and learn how to interpret key metrics relevant to the automotive industry. You'll understand the difference between correlation and causation and how to avoid common data analysis pitfalls.
- Module 6-15: Data Visualization with Power BI: Master Power BI to create compelling dashboards and reports that clearly communicate data insights to stakeholders. You'll learn how to choose the right visualizations for different data types and create interactive dashboards that allow users to explore data in detail.
- Module 16-25: Predictive Analytics & Forecasting: Develop predictive models to forecast sales, predict equipment failures, and optimize supply chain operations. You'll gain hands-on experience with regression analysis, time series forecasting, and machine learning algorithms.
- Module 26-35: Customer Segmentation & Targeting: Learn how to segment customers based on their needs, behaviors, and preferences. You'll use clustering algorithms and customer profiling techniques to identify high-value customer segments and develop targeted marketing campaigns.
- Module 36-45: A/B Testing & Experimentation: Design and implement A/B tests to optimize marketing campaigns, website design, and product features. You'll learn how to analyze test results, identify statistically significant improvements, and iterate on your designs based on data.
- Module 46-55: Supply Chain Optimization: Use data analytics to optimize inventory levels, reduce transportation costs, and improve delivery times. You'll learn how to use simulation models and optimization algorithms to identify bottlenecks and improve supply chain efficiency.
- Module 56-65: Quality Control and Process Improvement: Analyze production data to identify defects, reduce waste, and improve product quality. You'll learn how to use statistical process control (SPC) techniques and root cause analysis to identify and eliminate sources of variation.
- Module 66-75: Risk Management and Fraud Detection: Identify and mitigate potential risks using data analytics. You'll learn how to detect fraudulent transactions, predict warranty claims, and assess the financial risks associated with new ventures.
- Module 76-80: Data Storytelling & Communication: Master the art of data storytelling to effectively communicate your findings to stakeholders. You'll learn how to create compelling narratives, design effective presentations, and influence decision-making through data.