Applied Data Science Specialization
Learn Python, analyze and visualize data, and apply your skills to data science and machine learning with a practical assignment to acquire hands-on skills for a career in data science.
Description for Applied Data Science Specialization
Level: Beginner
Certification Degree: Yes
Languages the Course is Available: 22
Offered by: On Coursera provided by IBM
Duration: 2 months at 10 hours a week
Schedule: Flexible
Pricing for Applied Data Science Specialization
Use Cases for Applied Data Science Specialization
FAQs for Applied Data Science Specialization
Reviews for Applied 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 Applied Data Science Specialization
Featured Tools
Learn proficiency in the construction, deployment, and safeguarding of large language models at scale, utilizing Rust, Amazon Web Services (AWS), and established DevOps best practices.
The course covers the following topics: leveraging digital platform data for competitive advantage, generating personalized AI Relationship Moments, constructing networked business models, and enhancing customer engagement with data-driven AI.
By utilizing modern Python libraries, investigating machine learning tools, and delving into logistic regression, decision trees, and linearly inseparable data, you can master AI with our course.
The Specialization emphasizes the development of practical applications, such as encryption, geospatial maps, CSV data analysis, and text data management, through the use of object-oriented design and advanced Java programming. This includes the ability to handle large datasets and create GUI programming.
Explore the use of generative AI tools to enhance data preparation, querying, and machine learning model development in data science workflows through hands-on projects.