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.

5 SQL Certifications for Your Data Career in 2025

A database or SQL certification may help you reach your goals in the world of data science. Here are five to consider.

February 18, 2021

Article

5 SQL Certifications for Your Data Career in 2025

A database or SQL certification may help you reach your goals in the world of data science. Here are five to consider.

February 18, 2021

Article

Boost your data science career

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Google

Google Advanced Data Analytics

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

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Johns Hopkins University

Data Science

Skills you'll gain: Rmarkdown, Shiny (R Package), Exploratory Data Analysis, Statistical Inference, Statistical Hypothesis Testing, Predictive Modeling, Regression Analysis, Plot (Graphics), Knitr, Statistical Analysis, Machine Learning Algorithms, R Programming, Statistical Methods, Plotly, Data Manipulation, Statistical Visualization, Statistical Modeling, Data Science, Machine Learning, GitHub

Status: Free Trial

Google

Foundations of Data Science

Skills you'll gain: Data Ethics, Data Analysis, Workflow Management, Analytical Skills, Data Science, Data Storytelling, Project Design, Data Literacy, Data Presentation, Data-Driven Decision-Making, Data Management, Project Management, Stakeholder Communications, Communication

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)

Data scientists are well-compensated for their in-demand skill set. According to the US BLS, the median annual salary for data scientists in the United States was $103,500 as of May 2022. That’s more than two times the median annual salary for all jobs in the country, which the BLS put at just $46,310 during the same period. Top earners in the field, however, brought in a median annual salary of more than $174,790.*

Common factors impacting how much you can expect to earn include your years of experience, geographic location, education level, and professional certifications. ‎

Machine learning requires you to have extensive knowledge of programming languages, machine learning algorithms, math, and distributed computing to train and create an effective model. Nonetheless, as a data scientist, the professional benefits likely outweigh the potential challenge of effectively learning these skills. Some benefits of machine learning include the ability to automate certain tasks, rapidly analyze data live, and efficiently analyze big data sets for patterns and trends.

As an advanced data scientist, you’ll be expected to have a strong grasp of machine learning to effectively perform your responsibilities.

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