Advance Your Data Scientist Career

As an advanced data scientist, you’ll lead data science projects, build machine learning models, and analyze datasets to identify actionable insights for organizations. Grow your data science career with these job-relevant resources today.

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Boost your data science career

Status: Free Trial

Skills you'll gain: Data Storytelling, Data Visualization, Data Ethics, Exploratory Data Analysis, Sampling (Statistics), Data Presentation, Data Visualization Software, Feature Engineering, Regression Analysis, Descriptive Statistics, Statistical Hypothesis Testing, Advanced Analytics, Data Analysis, Tableau Software, Data Science, Statistical Analysis, Machine Learning, Object Oriented Programming (OOP), Interviewing Skills, Python Programming

Status: Free Trial

Johns Hopkins University

Skills you'll gain: Shiny (R Package), Rmarkdown, Exploratory Data Analysis, Regression Analysis, Leaflet (Software), Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Wrangling, Data Visualization, Machine Learning Algorithms, Plotly, Machine Learning, GitHub

Status: Free Trial

Johns Hopkins University

Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Regression Analysis, Bayesian Statistics, Statistical Analysis, Probability & Statistics, Statistical Inference, Statistical Methods, Statistical Modeling, Linear Algebra, Probability, R Programming, Biostatistics, Data Science, Statistics, Probability Distribution, Mathematical Modeling, Data Analysis, Applied Mathematics, Predictive Modeling

Data scientists are integral to the efficient operation of countless organizations around the world today. Using their expert knowledge of data management, experimental design, and advanced analytics techniques like machine learning and predictive modeling, advanced data scientists use their expertise to ensure organizations have high-quality, actionable insights that improve their decision-making and overall outcomes. 

In turn, they’re highly sought-after in the work world. According to the US Bureau of Labor Statistics (BLS), for example, the number of job openings for data scientists is projected to grow by 35% between 2022 and 2032. That’s more than 10x the average growth rate for all jobs in the country, which the BLS pegs at just 3 percent during the same period.*

Looking to expand your data science skill set? Advance your career as a data professional and learn more about Coursera with these job-relevant resources: 

Frequently asked questions (FAQ)

*US Bureau of Labor Statistics. “Occupational Outlook Handbook: Data Scientists, https://www.bls.gov/ooh/math/data-scientists.htm.” Accessed February 5, 2024.