What jobs can I get with a data science certificate?

A data science certificate could prepare you for entry-level data analytics roles like data analyst , marketing analyst , and business intelligence analyst . Depending on your prior work experience, you may also qualify for more advanced positions like data scientist , data architect , and data engineer . Read more: Data Science Jobs Guide: Resources for a Career in Tech

Top Data Science Certificate Courses - Learn Data Science Certificate Online

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Data Science Certificate

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Status: Free Trial
Status: AI skills
IBM
IBM Data Science
Skills you'll gain: Data Storytelling, Dashboard, Data Presentation, Data Visualization Software, Web Scraping, Data Visualization, Exploratory Data Analysis, SQL, Unsupervised Learning, Interactive Data Visualization, Supervised Learning, Model Evaluation, Data Analysis, Jupyter, Data Manipulation, Data Literacy, Plotly, Generative AI, Professional Networking, Data Import/Export
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
150K reviews
Beginner · Professional Certificate · 3 - 6 Months
Status: Free Trial
Google
Google Advanced Data Analytics
Skills you'll gain: Data Storytelling, Data Visualization, Exploratory Data Analysis, Regression Analysis, Data Presentation, Feature Engineering, Statistical Hypothesis Testing, Sampling (Statistics), Data Ethics, Logistic Regression, Model Evaluation, Data Visualization Software, Data Analysis, Statistical Analysis, Tableau Software, Object Oriented Programming (OOP), Data Science, Machine Learning, Interviewing Skills, Python Programming
Build toward a degree
4.8
Rating, 4.8 out of 5 stars
10K reviews
Advanced · Professional Certificate · 3 - 6 Months
Status: New
Status: Free Trial
University of Pittsburgh
Cloud Computing for Data Science
Skills you'll gain: Apache Hadoop, Cloud Computing, Apache Spark, Web Services, Cloud Services, Cloud Computing Architecture, Cloud Infrastructure, PySpark, Cloud Applications, Cloud Platforms, Data Pipelines, Google Cloud Platform, Distributed Computing, Data Processing, Cloud Storage, Docker (Software), Virtualization, Containerization, Restful API, Data Architecture
Build toward a degree
Intermediate · Specialization · 1 - 3 Months
Status: New
Status: Free Trial
Microsoft
Microsoft Big Data Management and Analytics
Skills you'll gain: Model Deployment, PySpark, Azure Synapse Analytics, Data Pipelines, Databases, Microsoft Azure, Apache Spark, Power BI, Data Lakes, Databricks, NoSQL, SQL Server Integration Services (SSIS), Data Processing, Data Visualization Software, Data Warehousing, Big Data, Generative AI, Distributed Computing, Feature Engineering, Deep Learning
Intermediate · Professional Certificate · 3 - 6 Months
Status: Free Trial
Status: AI skills
Google
Google Data Analytics
Skills you'll gain: Data Storytelling, Rmarkdown, Data Literacy, Data Visualization, Data Presentation, Data Ethics, Data Cleansing, Data Validation, Ggplot2, R (Software), Tableau Software, Sampling (Statistics), Presentations, Spreadsheet Software, Data Analysis, LinkedIn, Object Oriented Programming (OOP), Data Structures, Interviewing Skills, Applicant Tracking Systems
Build toward a degree
4.8
Rating, 4.8 out of 5 stars
177K reviews
Beginner · Professional Certificate · 3 - 6 Months
Status: Free Trial
University of Pittsburgh
Mathematical Foundations for Data Science and Analytics
Skills you'll gain: Statistical Analysis, NumPy, Probability Distribution, Matplotlib, Statistics, Pandas (Python Package), Data Science, Probability & Statistics, Probability, Statistical Modeling, Predictive Modeling, Data Analysis, Linear Algebra, Predictive Analytics, Statistical Methods, Mathematics and Mathematical Modeling, Applied Mathematics, Python Programming, Machine Learning, Logical Reasoning
Build toward a degree
3.7
Rating, 3.7 out of 5 stars
9 reviews
Beginner · Specialization · 1 - 3 Months

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Start my career

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Explore topics outside of work

Status: Free Trial
Google
Google Business Intelligence
Skills you'll gain: Data Modeling, Stakeholder Engagement, Database Design, Dashboard, Business Intelligence, Extract, Transform, Load, Tableau Software, Data Warehousing, Data Pipelines, Interactive Data Visualization, Business Reporting, Data-Driven Decision-Making, Data Visualization, Interviewing Skills, Applicant Tracking Systems, Business Process, AI Enablement, Business Analysis, Data Analysis, SQL
Build toward a degree
4.8
Rating, 4.8 out of 5 stars
7.2K reviews
Advanced · Professional Certificate · 3 - 6 Months
The Google AI Certificate that powers your career
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Status: Free Trial
Microsoft
Microsoft Excel
Skills you'll gain: Excel Macros, Prompt Engineering, Microsoft Excel, Data Cleansing, Excel Formulas, Pivot Tables And Charts, Microsoft Copilot, Dashboard, Forecasting, Data Presentation, Data Storytelling, Data Processing, Data Visualization Software, Data Manipulation, Data Visualization, Data Preprocessing, Data Quality, Statistical Analysis, Data Transformation, Data Analysis
4.2
Rating, 4.2 out of 5 stars
367 reviews
Beginner · Professional Certificate · 3 - 6 Months
Status: Free Trial
IBM
What is Data Science?
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
4.7
Rating, 4.7 out of 5 stars
77K reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
IBM
Introduction to Data Science
Skills you'll gain: SQL, Jupyter, Data Literacy, Data Mining, R (Software), Data Modeling, Relational Databases, Stored Procedure, R Programming, Model Deployment, Databases, Data Science, Big Data, Query Languages, GitHub, Data Visualization Software, Data Preprocessing, Data Cleansing, Cloud Computing, Python Programming
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
102K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
Johns Hopkins University
Data Science: Statistics and Machine Learning
Skills you'll gain: Shiny (R Package), Rmarkdown, Model Evaluation, Regression Analysis, Exploratory Data Analysis, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Machine Learning Algorithms, Plotly, Interactive Data Visualization, Probability & Statistics, Statistical Machine Learning, Data Presentation, Data Visualization, Statistical Analysis, Statistical Modeling, R Programming, Machine Learning, GitHub
4.4
Rating, 4.4 out of 5 stars
7.2K reviews
Intermediate · Specialization · 3 - 6 Months

Status: Free Trial
Google
Foundations of Data Science
Skills you'll gain: Data Storytelling, Data Ethics, Data-Driven Decision-Making, Analytics, Workflow Management, Business Analytics, Data Science, Project Design, Data Visualization Software, Project Management, Communication, Stakeholder Communications
4.7
Rating, 4.7 out of 5 stars
3.9K reviews
Advanced · Course · 1 - 3 Months

What brings you to Coursera today?

Start my career

Change my career

Grow in my current role

Explore topics outside of work

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In summary, here are 10 of our most popular data science certificate courses

IBM Data Science: IBM
Google Advanced Data Analytics: Google
Cloud Computing for Data Science: University of Pittsburgh
Microsoft Big Data Management and Analytics: Microsoft
Google Data Analytics: Google
Mathematical Foundations for Data Science and Analytics: University of Pittsburgh
Google Business Intelligence: Google
Microsoft Excel: Microsoft
What is Data Science? : IBM
Introduction to Data Science: IBM

Frequently Asked Questions about Data Science Certificate

Though they sound similar, data science certificates and certifications are actually different from one another.

Data science Professional Certificates are awarded to individuals who have completed a specific course of study. For example, once you complete the IBM Data Science Professional Certificate, you’ll be awarded a certificate that you can put on your resume to highlight your training and skills to potential employers.

Data science professional certifications, meanwhile, are awarded to individuals who have passed a specific exam like Microsoft’s Azure Data Scientist Associate certification. Usually, certifications are pursued by individuals with prior work experience and some may even require that test-takers have worked a certain number of years in the field to qualify. ‎

Obtaining a data science Professional Certificate can help you stand out to potential employers by highlighting your training and relevant job skills. As a holder of the IBM Data Science Professional Certificate, for example, you’d possess a certificate that shows you’ve completed a 10-course curriculum that covers such foundational concepts as Python, SQL, data analysis, data analytics, and machine learning models. ‎

Coursera offers a variety of data science courses, specializations, and Professional Certificates that each award a certificate upon completion.

The IBM Data Science Professional Certificate offers a beginner-friendly crash course in foundational data science topics like Python, SQL, data visualization, data analysis, and even machine learning. The University of Michigan’s Applied Data Science with Python Specialization, meanwhile, teaches intermediate-level learners how to use Python toolkits to apply statistical, machine learning, information visualization, text analysis, and social network analysis to their datasets. In the University of Colorado’s Data Science Graduate Certificate, finally, you’ll develop skills in data science and gain knowledge of statistical analysis, data mining, and machine learning from one of the nation’s top-ranked Tier 1 research institutions. ‎

None!

Coursera has numerous beginner-friendly data science courses, specializations, and Professional Certificates that don’t require you to have any special knowledge to start them. While math and programming skills could certainly help, programs like the IBM Data Science Professional Certificate and the Google Data Analytics Professional Certificate assume that you don’t possess such knowledge before starting them and will introduce you to relevant topics as you work through each module.

Read more: 7 Skills Every Data Scientist Should Have ‎

This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.