621 results for "data science in real life"
MathWorks
Skills you'll gain: Computer Vision, Deep Learning, Matlab
University of California San Diego
Skills you'll gain: Algorithms, Bioinformatics, Computer Programming, Computational Thinking, Theoretical Computer Science, Python Programming
Advancing Women in Tech
Skills you'll gain: Product Management
Skills you'll gain: Data Analysis, Exploratory Data Analysis, Machine Learning, Data Science, Docker (Software), Python Programming
Skills you'll gain: Algorithms, Dimensionality Reduction, Feature Engineering, Machine Learning, Data Science, Python Programming
Rice University
Skills you'll gain: Computational Logic, Computer Programming, Critical Thinking, Mathematical Theory & Analysis, Mathematics, Programming Principles, Python Programming, Algebra, Algorithms, Computational Thinking
Duke University
Skills you'll gain: Python Programming, Computer Programming
University of Michigan
Skills you'll gain: Machine Learning Algorithms, Python Programming, Data Analysis
École Polytechnique Fédérale de Lausanne
Skills you'll gain: Mathematics, Mathematical Theory & Analysis
Rice University
Skills you'll gain: Algorithms, Theoretical Computer Science, Computer Programming
University of Michigan
Skills you'll gain: General Statistics, Probability & Statistics, Regression, Statistical Analysis, Statistical Tests, Correlation And Dependence, Data Analysis, Plot (Graphics), Statistical Visualization, Data Model, Bayesian Statistics
Skills you'll gain: Apache, Big Data, Machine Learning, Human Learning, Machine Learning Algorithms, Data Science
In summary, here are 10 of our most popular data science in real life courses
- Deep Learning for Object Detection:Â MathWorks
- Genome Sequencing (Bioinformatics II):Â University of California San Diego
- Acing the Product Management Interview:Â Advancing Women in Tech
- AI Workflow: AI in Production:Â IBM
- AI Workflow: Feature Engineering and Bias Detection:Â IBM
- Python Programming Essentials:Â Rice University
- Pointers, Arrays, and Recursion:Â Duke University
- Introduction to Machine Learning in Sports Analytics:Â University of Michigan
- Digital Signal Processing 2: Filtering: École Polytechnique Fédérale de Lausanne
- Algorithmic Thinking (Part 2):Â Rice University