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This course teaches you the essential methodology followed by successful data scientists, enabling you to think and work like them. You will learn the major steps involved in data science, from defining a problem to deploying a model and receiving feedback. The course focuses on the widely used CRISP-DM methodology, which consists of six stages for solving data science and data mining problems. Through practical exercises using Jupyter Notebooks and Python, you will gain hands-on experience with real-world scenarios. WHAT YOU WILL LEARN *Describe what a methodology is and why data scientists need a methodology. *Apply the six stages in the Cross-Industry Process for Data Mining (CRISP-DM) methodology to analyze a case study. *Determine an appropriate analytic model including predictive, descriptive, and classification models to analyze a case study. *Decide on appropriate sources of data for your data science project. SKILLS YOU WILL GAIN *Data Science *Methodology *CRISP-DM *Data Analysis *Data Mining VERIFIABLE CERTIFICATE Earn a certificate upon completion. 100% ONLINE COURSE Start instantly and learn at your own pace. FLEXIBLE SCHEDULE Set and maintain flexible deadlines. COURSE LEVEL Intermidiate LANGUAGE English