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Data Science Career Roadmap: Jobs and Levels Guide
Explore the job-leveling matrix for Data Analysis careers. Understand the roles and skills needed to advance from beginner to leader.
May 17, 2024
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Data Scientist Resources
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
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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
Skills you'll gain: Computer Programming, Data Analysis, Python Programming
Multiple educators
Skills you'll gain: Data Architecture, Feature Engineering
What are the top skills needed to be a data scientist?
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:
