IBM SkillsBuild: Predictive Analytics for Customer Churn

The objective of this project is to: Predict customer churn using logistic regression or decision trees. Desired outcomes by the end of the project: Explain the purpose and key features of IBM Watson Studio Set up a new project in IBM Watson Studio Import a data set Clean data using the data refinery tool Refine data using the data refinery tool Create a data visualization Conclude insights from a data visualization

IBM SkillsBuild: ESG Analytics in Sustainable Manufacturing Management

The objective of this project is to: Do an ESG (Environmental, Social and Governance) assessment for a manufacturing firm using advanced analytical tools and frameworks. 

IBM SkillsBuild: Data Cleaning and Visualization

The objective of this project is to: Clean, analyze, and visualize trends in a dataset (e.g., city bike rentals, survey data). Desired outcomes by the end of the project: Explain the importance of data in a digital world Differentiate between unstructured and structured data Identify the purpose of a database Differentiate between quantitative and qualitative data Describe the five V’s of big data Describe the four types of data analytics Explain the work involved in each step of the data analysis process Identify the purpose of a data visualization Recognize different charts to display data visualizations in the best way Recognize the global demand for data analysts and data scientists in the job market Recognize the future of the field of data analytics Identify industries in which data professionals work Identify the primary responsibilities of a data analyst and data scientist Identify the skills that data professionals need Identify the tools to know when starting out in the field Identify resources to learn more and stay up to date in the field of data science Recommended IBM SkillsBuild course(s): Overview of Data Tools and Languages Your Future in Data: The Job Landscape

IBM SkillsBuild: Analyze a Sustainability Dataset

The objective of this project is to: Analyze a large sustainability dataset and create data visualizations that communicate key insights. Recommended IBM SkillsBuild courses: Introduction to Data Concepts Your Future in Data: The Job Landscape Clean, Refine, and Visualize Data with IBM Watson Studio Overview of Data Tools and Languages Data Science in our World