Explore our guides, templates, and tools for Data Scientists. Whether you’re an aspiring data scientist starting out or a senior data leader looking for a refresher, Coursera’s Data Scientist Resources will support you at every stage of your career.
Popular Data Science Courses
Skills you'll gain: Python Programming, Machine Learning, Data Science, R Programming, Data Analysis, Professional Development, Algorithms, Big Data, Cloud Computing, Computer Programming, Data Mining, Data Model, Data Visualization, Databases, Deep Learning, Exploratory Data Analysis, General Statistics, Human Learning, IBM Cloud, Machine Learning Algorithms, Plot (Graphics), Probability & Statistics, Regression, SQL, Writing
Johns Hopkins University
Skills you'll gain: R Programming, Data Analysis, Statistical Programming, Statistical Analysis, Computer Programming, Exploratory Data Analysis, General Statistics, Problem Solving, Data Analysis Software, Probability & Statistics, Computer Programming Tools, Critical Thinking, Programming Principles, Statistical Tests, Data Management, Data Structures, Statistical Machine Learning, Basic Descriptive Statistics, Algorithms, Data Model, Human Learning, Machine Learning, Machine Learning Algorithms, Process Analysis, Correlation And Dependence, Data Visualization, Data Visualization Software, Plot (Graphics), Regression, Applied Machine Learning, Big Data, Computational Thinking, Estimation, Extract, Transform, Load, Probability Distribution, Databases, Interactive Data Visualization, Computer Graphics, Machine Learning Software, Communication, Computer Graphic Techniques, Knitr, Natural Language Processing, Visualization (Computer Graphics), Interactive Design, Product Development, Web Development
Skills you'll gain: Computer Programming, Data Analysis, Python Programming
Analytical skills: Analytics skills are crucial for data scientists as they enable them to transform raw data into actionable insights, driving informed decision-making to help solve complex business problems. Top skills include:
Programming Languages: Proficiency in languages like Python and R is vital because they provide the tools for data scientists to manipulate, analyze, and visualize large datasets efficiently. Top languages include:
Math & statistics: Mathematical and statistical knowledge is essential for designing experiments, assessing correlations, and optimizing algorithms to ensure precise and reliable outcomes in any data-driven project. Key skills to learn:
