Statistical Learning for Data Science Specialization
Mastering Advanced Statistics for Data Science. Acquire the necessary knowledge and abilities to effectively communicate the choices and interpretations of models.
Description for Statistical Learning for Data Science Specialization
Features of Course
Level: Intermediate
Certification Degree: Yes
Languages the Course is Available: 21
Offered by: On Coursera provided by University of Colorado Boulder
Duration: 4 months at 9 hours a week
Schedule: Flexible
Pricing for Statistical Learning for Data Science Specialization
Use Cases for Statistical Learning for Data Science Specialization
FAQs for Statistical Learning for Data Science Specialization
Reviews for Statistical Learning for Data Science Specialization
0 / 5
from 0 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Alternative Tools for Statistical Learning for Data Science Specialization
This course covers the development, impact, and future of Generative AI through lectures, critical AI technologies, and interactive assessments.
Develop and evaluate machine learning models using regression, trees, and unsupervised techniques to address various business challenges.
Investigate the field of artificial intelligence and machine learning. While investigating the transformative disciplines of artificial intelligence, machine learning, and deep learning, enhance your Python abilities.
Acquire the skills necessary to program powerful systems in Rust. Through projects in data engineering, Linux tools, DevOps, LLMs, Cloud Computing, and machine learning operations, acquire the skills necessary to develop software that is both efficient and robust, utilizing Rust's distinctive safety and speed.
Specialization in Machine Learning at BreakIntoAI. Master the fundamental AI concepts and cultivate practical machine learning skills in the beginner-friendly, three-course program by AI visionary Andrew Ng.
Learn to describe and implement various machine learning algorithms in Python, including classification and regression techniques, and evaluate their performance using appropriate metrics.
Set up for a profession in machine learning. To become job-ready in less than three months, acquire the skills and practical experience that are in high demand.
Master the AI and machine learning toolkit. Mathematics for Machine Learning and Data Science is a Specialization that is accessible to beginners. In this program, you will acquire the basic mathematics tools of machine learning, including calculus, linear algebra, statistics, and probability.
Learn to build and train supervised machine learning models for binary classification and prediction tasks using Python with NumPy and scikit-learn libraries.
Accelerate your career in data analytics. In this certificate program, you will acquire skills that are in high demand at your own tempo, regardless of your degree or experience.
Featured Tools
Developing a Strategic Advantage through the Mastery of Generative AI. Leverage the transformative potential of Generative AI to empower your leadership suite.
With an emphasis on CI/CD, cloud architecture, and training workflows, this course covers MLOps technologies and best practices for installing, assessing, and running ML systems on Google Cloud.
Convert Data into Value. In four industry-relevant courses, identify and analyze key metrics to drive business process change.
Start your Machine Learning career. Prepare for AWS Certified Machine Learning Specialty Certification by learning AWS ML basics.
Become the leader your data team requires. In four courses, acquire the skills necessary to lead a data science team that produces high-quality analyses.