Data Science Course
Turn data into actionable knowledge. This course gives you a comprehensive introduction to data science workflows.
- At completion you'll be able to create and validate machine learning models, perform statistic inference, start running data science in the cloud and much more.
- Over 7 hours of video lectures
In this course you will learn
ETL: Extract, Transform & Load data
Machine Learning Models in Python
Statistics applied to Data Science
The tools of a Data Scientist
How to Build a Data Science Team
Course materials
- SQL vs. NoSQL
- Popular frameworks
- Dashboards
- Machine Learning
- Binary vs. multi-class
- Regression
- Clustering
- Dimensionality Reduction
- Statistics
- Probability Distributions
- Statistical Inference
- AWS
- Distributed Computing
Teacher
William Wolf
William is a multilingual data scientist who loves building machine learning models and has vast experience in data analysis using Python, Bayesian statistics and Spark. William has helped companies such as Accenture to improve business intelligence operations thanks to his deep knowledge of Natural Language Processing, clustering methods, RESTful API implementation and test-driven development.
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