Behind numerous standard models and constructions in Data Science there is mathematics that makes things work. It is important to understand it to be successful in Data Science. In this specialisation we will cover wide range of mathematical tools and see how they arise in Data Science. We will cover such crucial fields as Discrete Mathematics, Calculus, Linear Algebra and Probability. To make your experience more practical we accompany mathematics with examples and problems arising in Data Science and show how to solve them in Python.
Coursera
Discover the fundamentals of probability theory and statistics with our beginner-friendly course. Perfect for aspiring data scientists, this course will equip you with the knowledge needed to explore and analyze datasets effectively.
Coursera
Discover the fundamentals of Discrete Mathematics tailored specifically for those in Data Analysis and Computer Science. This course introduces essential topics like combinatorics and applies them to real-world problems such as analyzing social networks. Gain valuable skills in counting techniques, graph theory, and more to improve your data analysis capabilities.
Coursera
Unlock the secrets of Calculus and Optimization with our expert-led course designed specifically for aspiring Machine Learning enthusiasts. Gain a solid foundation in essential mathematical concepts including limits, differentiation, integration, and optimization strategies that are pivotal to mastering advanced data science topics.
Coursera
Dive into 'First Steps in Linear Algebra for Machine Learning' and unlock the power of vectors, matrices, and their applications in data science and AI. Perfect for beginners looking to build a strong foundation in linear algebra as it pertains to machine learning.