![[Featured Image] A data scientist works on a laptop and examines data visualizations, using Bayesian hierarchical modeling to extract insights.](https://images.ctfassets.net/wp1lcwdav1p1/5C9rRIBl3zLsCd2Qfpa8g7/edcc276868e0527a18dd2b31946f6b88/GettyImages-2180316334.jpg?w=330&h=216&q=60&fit=fill&f=faces&fm=jpg&fl=progressive)
An Introduction to Bayesian Hierarchical Modeling for Data Science
Learn what Bayesian hierarchical modeling is, how to build your own model, and how professionals across industries use this tool.
October 24, 2025
Article
Data analytics is the collection, transformation, and organization of data in order to draw conclusions, make predictions, and drive informed decision making. Learn more about data analytics and career opportunities with these resources.

Discover courses in data analytics

Simplilearn
Skills you'll gain: Matplotlib, NumPy, Data Visualization, Python Programming, Pandas (Python Package), Data Analysis, Data Visualization Software, Scripting, Analytics, Data Manipulation, Real Time Data, Data Processing, Programming Principles, Data Transformation, Data Cleansing, Data Validation
Beginner · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Data Governance, Data Management, Business Analytics, Analytics, Data Quality, Data Ethics, Data Analysis, Business Intelligence, Big Data, Organizational Structure, Data-Driven Decision-Making, Data Access, Relational Databases, SQL, Data Storage, Cloud Computing
Beginner · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Data Storytelling, Web Scraping, Google Sheets, Data Visualization, Data Presentation, Spreadsheet Software, Large Language Modeling, Tableau Software, Data Literacy, Dashboard, LinkedIn, Pandas (Python Package), Time Series Analysis and Forecasting, Probability & Statistics, Extract, Transform, Load, Statistical Analysis, Statistics, Data Manipulation, Data Analysis, Descriptive Statistics
Beginner · Professional Certificate · 3 - 6 Months
In today's data-driven world, professionals skilled in data analytics are in high demand across many industries. A career in this fast-growing field provides opportunities to use technical skills to drive meaningful business impact. Explore the diverse career paths, essential skills, and job types within data analytics to start your journey in this exciting and rewarding domain.
Interested in data analytics? Find out more about what a data analyst does and popular data analytics certifications.
Interested in Python? Read about foundational Python concepts, and explore the differences between Python and R programming.
Interested in business intelligence? Dive into business intelligence analytics and popular business intelligence certifications in the field.
Ready to start learning? Explore our catalog of data analytics, Python, and business analytics courses for beginners and experienced professionals.
Yes, a master’s degree in data analytics can be worth it—depending on your goals and your resources. Advanced degrees in this subject can lead to higher salaries, diverse career opportunities, advanced knowledge and skill sets, and exciting networking opportunities, among other benefits.
Beginning data analysts should ensure they have a solid technical understanding of Structured Query Language (SQL), Microsoft Excel, and R or Python. Additionally, they should be able to think critically, present confidently, and tell their data's story visually. Read more about these and other key data analyst skills.
The time it takes to develop the skills you need to get a job as a data analyst will depend on what you already know, your strategy for learning new skills, and the role you're applying for. But it might take less time than you think. It's possible to learn the skills you need for an entry-level role as a data analyst in approximately 64 hours of learning, according to Coursera's 2025 Global Skills Report. Earning your Google Data Analytics or IBM Data Analyst Professional Certificate in less than six months is possible.