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Results for "statistics for data science"
O.P. Jindal Global University
Skills you'll gain: Regression
Coursera Project Network
Skills you'll gain: Python Programming
Status: FreeCoursera Project Network
Skills you'll gain: Data Management, Data Visualization
Coursera Project Network
Skills you'll gain: Computer Programming, Data Science, Data Visualization, Python Programming
Skills you'll gain: Google Cloud Platform, Network Analysis
Status: FreeDuke University
Google Cloud
Skills you'll gain: Data Analysis, Data Model, Google Cloud Platform
Skills you'll gain: Data Analysis, Python Programming
Skills you'll gain: Algorithms, Machine Learning, Machine Learning Algorithms, Dimensionality Reduction, Applied Machine Learning, Human Learning, Statistical Machine Learning
Status: Free
Skills you'll gain: Forecasting, Machine Learning, Data Analysis, Probability & Statistics, Statistical Analysis, Human Learning, Machine Learning Algorithms, Applied Machine Learning, Statistical Machine Learning, Deep Learning, Dimensionality Reduction
Universitat Autònoma de Barcelona
Skills you'll gain: Big Data, Communication, Data Analysis, Data Visualization, Data Visualization Software, Graphics Software, Interactive Data Visualization, Software Visualization, Tableau Software, Visual Design
Searches related to statistics for data science
In summary, here are 10 of our most popular statistics for data science courses
- Machine Learning for Marketing: O.P. Jindal Global University
- Python NLTK for Beginners: Customer Satisfaction Analysis: Coursera Project Network
- ArcGIS for Beginners: Mapping Urban Green Spaces: Coursera Project Network
- Create Interactive Dashboards with Streamlit and Python: Coursera Project Network
- Getting Started with BigQuery GIS for Data Analysts: Google Cloud
- Copyright for Multimedia: Duke University
- BigQuery Machine Learning using Soccer Data: Google Cloud
- Foundations of Data Analysis with Pandas and Python: Packt
- Unsupervised Machine Learning: IBM
- The Science of the Solar System: Caltech
