Data Science
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Discrete Math
Explore set operations, proofs, recursion, and more in this introduction to discrete math — the math of computer science!
Discrete Math: Binary and Bases
Learn about binary, octal, decimal, and hexadecimal bases and how to conduct conversions to and from each one.
Discrete Math: Congruences
Learn about congruences, the procedures for solving them, and their relevance to cryptography.
Discrete Math: Counting Theory
Learn about counting theory and its relevance to computer science, and dive into the pigeonhole principle.
Discrete Math: Permutations and Combinations
Learn about permutations and combinations and their relevance to computer science.
Discrete Math: Proofs
Learn how to verify theorems and dive into induction, strong induction, and other types of proofs.
Discrete Math: Recurrence Relations
Learn about recurrence relations and dive deeper into recursion and dynamic programming.
Discrete Math: Sequences and Summations
Learn about sequences and summations and their relevance in computer science.
Discrete Math: Sets and Set Operations
Learn about sets and set operations and their relevance to computer science.
Displaying Tables with Excel
This course explores Excel Tables, explaining how to turn them to your advantage to quickly gain insights into data. The course discusses what tables are, why you should use them, how to set them up, and then how to manipulate the data in them.
Distribute Power BI insights
Use the Power BI service to publish and share your reports, enable mobile use, and distribute to consumers for data-driven decision making.
Distributed Machine Learning and Its Implementation with H2O
Build distributed, fast, and scalable models with H2O, an end-to-end ML framework widely used for fraud risk, churn, advertising, and healthcare analytics.