
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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Explore our guides, templates, and tools for Data Scientists. Whether you鈥檙e an aspiring data scientist starting out or a senior data leader looking for a refresher, 糖心vlog官网观看鈥檚 Data Scientist Resources will support you at every stage of your career.
Popular Data Science Courses
IBM
Skills you'll gain: Dashboard, Data Visualization Software, Data Visualization, Predictive Modeling, SQL, Supervised Learning, Feature Engineering, Plotly, Interactive Data Visualization, Exploratory Data Analysis, Jupyter, Data Wrangling, Data Literacy, Data Analysis, Data Mining, Matplotlib, Unsupervised Learning, Generative AI, Pandas (Python Package), Professional Networking
Build toward a degree
Beginner 路 Professional Certificate 路 3 - 6 Months
Skills you'll gain: Jupyter, Python Programming, Data Structures, Web Scraping, Data Manipulation, Programming Principles, Pandas (Python Package), Computer Programming, Object Oriented Programming (OOP), Restful API, NumPy, Application Programming Interface (API), Data Analysis, Data Import/Export, File Management
Beginner 路 Course 路 1 - 3 Months
Skills you'll gain: Data Literacy, Data Mining, Big Data, Cloud Computing, Data Analysis, Data Science, Digital Transformation, Data-Driven Decision-Making, Deep Learning, Machine Learning, Artificial Intelligence
Beginner 路 Course 路 1 - 4 Weeks
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: