About This Course
Organizations making the transition to data-driven processes must employ the most effective methods to maximize their data assets. In this course, you’ll gain a broad overview of the best practices, processes and tools in data science. Develop the skills to address business problems with data-driven insights that can be understood by a nontechnical audience.
What You’ll Learn
- How to apply the data science process and methodology to different use cases
- How to formulate a question as a data science problem and present the results to stakeholders
- Basics of supervised and unsupervised learning
Get Hands-On Experience
- Use Python and Jupyter notebooks to load and explore structured and unstructured data and process data for machine learning
- Clean data and perform feature engineering prior to machine learning using the pandas library
- Train basic machine learning models for regression, classification and clustering
