Is prior Data Science experience necessary?

Advanced courses are designed for those already familiar with Data Science basics. This goes beyond introductory levels, aiming to transform learners into experts in Data Science. Consider a beginner or intermediate course first for those still mastering basic features. This ensures the ability to keep up with the advanced material and gain the most from the topics covered.

Will I receive a certificate upon completing an advanced Data Science course?

Most Advanced Data Science offer a completion certificate, suitable for showcasing to potential employers or for inclusion on a LinkedIn profile. Check the course details for information on certificate availability.

Best Beginner Data Science Courses & Certificates [2026]

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Data Science

Advanced Data Science Courses

Advanced Data Science courses can help you learn statistical modeling, machine learning algorithms, data visualization techniques, and data wrangling methods. You can build skills in predictive analytics, natural language processing, and deep learning applications. Many courses introduce tools like Python, R, and SQL, along with libraries such as TensorFlow and Pandas, that support implementing these skills in real-world projects.

Popular Advanced Data Science Courses and Certifications

Status: Free Trial
IBM
Python for Data Science, AI & Development
Skills you'll gain: Data Import/Export, Programming Principles, Web Scraping, Python Programming, Jupyter, Data Structures, Data Processing, Pandas (Python Package), Data Manipulation, JSON, Computer Programming, Restful API, NumPy, Object Oriented Programming (OOP), Scripting, Application Programming Interface (API), Automation, Data Analysis
4.6
Rating, 4.6 out of 5 stars
43K reviews
Beginner · Course · 1 - 3 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
Databases and SQL for Data Science with Python
Skills you'll gain: SQL, Relational Databases, Stored Procedure, Databases, Query Languages, Jupyter, Data Manipulation, Data Analysis, Pandas (Python Package), Transaction Processing, Python Programming
4.7
Rating, 4.7 out of 5 stars
22K reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
Status: AI skills
IBM
IBM Data Science
Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Dashboard, Data Visualization Software, Web Scraping, Data Visualization, SQL, Unsupervised Learning, Plotly, Interactive Data Visualization, Peer Review, Data Transformation, Supervised Learning, Jupyter, Data Analysis, Data Cleansing, Data Literacy, Generative AI, Professional Networking, Data Import/Export
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
148K reviews
Beginner · Professional Certificate · 3 - 6 Months
Status: Free Trial
Johns Hopkins University
Data Science
Skills you'll gain: Shiny (R Package), Rmarkdown, Exploratory Data Analysis, Regression Analysis, Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Wrangling, Machine Learning Algorithms, Plotly, Plot (Graphics), Interactive Data Visualization, Machine Learning, GitHub
4.5
Rating, 4.5 out of 5 stars
51K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
University of California, Davis
SQL for Data Science
Skills you'll gain: Data Governance, SQL, Data Quality, Database Design, Query Languages, Data Manipulation, Data Modeling, Relational Databases, Data Science, Data Analysis, Data Transformation
4.6
Rating, 4.6 out of 5 stars
17K reviews
Beginner · Course · 1 - 4 Weeks

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Status: Free Trial
IBM
Introduction to Data Science
Skills you'll gain: SQL, Peer Review, Jupyter, Data Literacy, Data Mining, Data Modeling, Data Collection, Business Analysis, Relational Databases, Stored Procedure, Databases, Data Science, Big Data, Computer Programming Tools, Query Languages, Decision Tree Learning, Predictive Modeling, GitHub, Cloud Computing, Python Programming
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
101K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
Status: AI skills
Google
Google Data Analytics
Skills you'll gain: Data Storytelling, Rmarkdown, Data Visualization, Data Presentation, Data Ethics, Data Cleansing, Ggplot2, R (Software), Data Validation, Tableau Software, Sampling (Statistics), Presentations, Spreadsheet Software, Data Analysis, LinkedIn, Dashboard, Data Structures, Python Programming, Interviewing Skills, Professional Development
Build toward a degree
4.8
Rating, 4.8 out of 5 stars
179K reviews
Beginner · Professional Certificate · 3 - 6 Months
Status: Free Trial
IBM
Data Science Fundamentals with Python and SQL
Skills you'll gain: Dashboard, Web Scraping, SQL, Descriptive Statistics, Jupyter, Statistical Analysis, Data Analysis, Probability Distribution, Statistics, Data Visualization, Data Presentation, Statistical Methods, Statistical Hypothesis Testing, Relational Databases, Stored Procedure, Data Import/Export, Data Science, Programming Principles, Computer Programming Tools, Python Programming
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
74K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
Multiple educators
Data Science Foundations
Skills you'll gain: Dashboard, Web Scraping, Pseudocode, Jupyter, Algorithms, Data Literacy, Data Mining, Data Analysis, Data Presentation, Correlation Analysis, Pandas (Python Package), NumPy, Data Import/Export, Programming Principles, Predictive Modeling, Computer Programming Tools, Data Science, Unsupervised Learning, Machine Learning, Project Management
4.6
Rating, 4.6 out of 5 stars
116K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
Status: AI skills
Microsoft
Microsoft Power BI Data Analyst
Skills you'll gain: Power BI, Microsoft Excel, Data Analysis, Data Collection, Data Visualization, Data Storage, Microsoft Power Platform, Data Quality, Business Intelligence, Timelines, Advanced Analytics, Database Design, Statistical Reporting, Statistical Visualization, Data Integration, Data Storage Technologies, SQL, Data Manipulation, Microsoft SQL Servers, Data Security
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
8.7K reviews
Beginner · Professional Certificate · 3 - 6 Months
Status: Free Trial
Status: AI skills
IBM
IBM Data Analyst
Skills you'll gain: Exploratory Data Analysis, Data Storytelling, Data Wrangling, Dashboard, Data Visualization Software, Plotly, Web Scraping, Data Visualization, Data Presentation, Interactive Data Visualization, Generative AI, SQL, Data Analysis, Big Data, IBM Cognos Analytics, Excel Formulas, Professional Networking, Data Import/Export, Microsoft Excel, Python Programming
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
97K reviews
Beginner · Professional Certificate · 3 - 6 Months

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

Python for Data Science, AI & Development: IBM
What is Data Science? : IBM
Databases and SQL for Data Science with Python: IBM
IBM Data Science: IBM
Data Science: Johns Hopkins University
SQL for Data Science: University of California, Davis
Introduction to Data Science: IBM
Google Data Analytics: Google
Data Science Fundamentals with Python and SQL: IBM
Data Science Foundations: IBM

Frequently Asked Questions about Advanced Data Science

Selecting the right course is crucial for your professional development. Start by identifying your specific learning objectives and areas of interest in Data Science. Please review the course syllabus with a defined goal to confirm it aligns with your intended outcomes. For added assurance, browse the course reviews or take advantage of Coursera's 7-day free trial to get firsthand experience of the course's content. This will help ensure that the course advances your career and fulfills your needs for enhanced Data Science proficiency.‎

The journey to expertise is individual, depending on current skills, pace of learning, and available time. A diverse range of advanced Data Science courses is available with flexible completion timelines, allowing the possibility of reaching an advanced level in just a few weeks with dedication. Mastery in Data Science is an ongoing process that benefits from regular practice. Courses are structured to accommodate various learning speeds, aiming to guide learners toward Data Science mastery.‎

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.