About this Specialization
This Specialization is part of HSE University Master of Data Science degree program. Learn more about the admission into the program here and how your Coursera work can be leveraged if accepted into the program. 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.
| From | National Research University Higher School of Economics, HSE University via Coursera |
|---|---|
| Hours | 156 |
| Instructors | Dmitri Piontkovski, Vsevolod L. Chernyshev, Vladimir Podolskii, Ilya V. Schurov, Stepan Kuznetsov, Владимир Подольский, Anton Savostianov |
| Language | English |
| Subjects | Data Science Programming Mathematics |
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Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile (33rd - 99th).
AD, Data Science $47k
Associate Data Science Supervisor $55k
Science writer / data analyst $63k
Genomic Data Science Programmer $75k
Volunteer Director of Data Science $78k
Expert Data Science Supervisor $79k
Supervisor 1 Data Science Supervisor $91k
Guest Director of Data Science $101k
Data Science Architect $105k
Head of Data Science $131k
Assistant Director 1 of Data Science $133k
Owner Director of Data Science $149k
Courses in this Specialization
Listed in the order in which they should be taken
| Starts | Course Information | |
|---|---|---|
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Jan |
Discrete Math and Analyzing Social Graphs The main goal of this online course is to introduce topics in Discrete Mathematics relevant to Data Analysis. We will start with a brief introduction to combinatorics, the branch... Coursera | National Research University Higher School of Economics, HSE University |
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Jan |
Calculus and Optimization for Machine Learning Hi! Our online course aims to provide necessary background in Calculus sufficient for up-following Data Science courses. Course starts with a basic introduction to concepts... Coursera | National Research University Higher School of Economics, HSE University |
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Jan |
First Steps in Linear Algebra for Machine Learning The main goal of the course is to explain the main concepts of linear algebra that are used in data analysis and machine learning. Another goal is to improve the student’s... Coursera | National Research University Higher School of Economics, HSE University |
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Jan |
Probability Theory, Statistics and Exploratory Data Analysis Exploration of Data Science requires certain background in probability and statistics. This online course introduces you to the necessary sections of probability theory and... Coursera | National Research University Higher School of Economics, HSE University |
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| From | National Research University Higher School of Economics, HSE University via Coursera |
|---|---|
| Hours | 156 |
| Instructors | Dmitri Piontkovski, Vsevolod L. Chernyshev, Vladimir Podolskii, Ilya V. Schurov, Stepan Kuznetsov, Владимир Подольский, Anton Savostianov |
| Language | English |
| Subjects | Data Science Programming Mathematics |
Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile (33rd - 99th).
AD, Data Science $47k
Associate Data Science Supervisor $55k
Science writer / data analyst $63k
Genomic Data Science Programmer $75k
Volunteer Director of Data Science $78k
Expert Data Science Supervisor $79k
Supervisor 1 Data Science Supervisor $91k
Guest Director of Data Science $101k
Data Science Architect $105k
Head of Data Science $131k
Assistant Director 1 of Data Science $133k
Owner Director of Data Science $149k
Similar Courses
Sorted by relevance
