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Overview
This course is designed to equip professionals with practical data science skills essential in todayâs data-driven world. Covering foundational concepts such as data cleaning, exploratory data analysis, and visualization, it empowers learners to transform raw data into actionable insights. Advanced techniques like predictive modeling, classification, and clustering are introduced, utilizing Python and key libraries. The course also explores machine learning algorithms applied to business problems, ethics in data science, and effective communication of results to stakeholders. Hands-on projects with real...
Syllabus
- Introduction
- Setup
- R Essentials - Data Objects
- R Essentials - Functions and Loops
- R Essentials - Putting it all Together!
- Data Gymnastics
- Data Visualization
- Modelling and Machine Learning
- Advanced Reporting with R
- Keep in Touch!
Instructor
Gregory Sward
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