Certified Data Science Practitioner (CDSP)
Who Should Attend
This course is designed for business professionals who leverage data to address business issues. The typical student in this course will have several years of experience with computing technology, including some aptitude in computer programming.
Use data science principles to address business issues.
Apply the extract, transform, and load (ETL) process to prepare datasets.
Use multiple techniques to analyze data and extract valuable insights.
Design a machine learning approach to address business issues.
Train, tune, and evaluate classification models.
Train, tune, and evaluate regression and forecasting models.
Train, tune, and evaluate clustering models.
Finalize a data science project by presenting models to an audience, putting models into production, and monitoring model performance.
Initiate a Data Science Project Formulate a Data Science Problem
Extract Data Transform Data Load Data
Examine Data Explore the Underlying Distribution of Data Use Visualizations to Analyze Data Preprocess Data
Identify Machine Learning Concepts Test a Hypothesis
Train and Tune Classification Models Evaluate Classification Models
Train and Tune Regression Models Evaluate Regression Models
Train and Tune Clustering Models Evaluate Clustering Models
Communicate Results to Stakeholders Demonstrate Models in a Web App Implement and Test Production Pipelines
Enroll in this course
Select a start date for your 5 Day course
This course begins at 9:00 Eastern
And ends at 17:00 Eastern
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