September 2018
Intermediate
2h 49m
English
Closed Captioning available in English
Overview
In this 2-hour course, you’ll dive into data science using Python and Jupyter, starting with the basics and progressing to machine learning models and data scraping. You’ll work with real datasets, apply classification algorithms, and learn to visualize your findings through interactive, web-friendly visualizations.
What I will be able to do after this course
- Perform exploratory data analysis to identify areas for investigation.
- Plan and train machine learning classification models.
- Enhance models using validation curves and dimensionality reduction.
- Scrape tabular data from web pages and convert it into Pandas DataFrames.
- Create interactive visualizations to present your findings effectively.
Course Instructor(s)
Chris DallaVilla, founder and CEO of VALID., brings expertise in data-driven marketing solutions. With a background in computer science from Harvard University and a strong foundation in marketing, Chris shares his knowledge to help professionals excel in data science.
Who is it for?
This course is perfect for professionals with prior Python experience who want to break into data science, especially those interested in applying data analysis, machine learning, and web scraping in real-world scenarios.
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