Professional Certificate in IBM Data Science
Course Features
Duration
12 months
Delivery Method
Online
Available on
Limited Access
Accessibility
Desktop, Laptop
Language
English
Subtitles
English
Level
Intermediate
Effort
6 hours per week
Teaching Type
Self Paced
Course Description
Course Overview
International Faculty
Post Course Interactions
Instructor-Moderated Discussions
Case Studies, Captstone Projects
Skills You Will Gain
What You Will Learn
Import and clean data sets, analyze data, build and evaluate data models and pipelines using Python
Master the key steps involved in tackling a data science problem and learn to follow a methodology to think and work like a Data Scientist
Practice with various tools used by Data Scientists and become experienced in using some of them like Jupyter notebooks
Understand Python and practice Python programming using Jupyter
Understand and apply various supervised and unsupervised Machine Learning models and algorithms to address real world challenges using Python
Utilize several data visualization tools, techniques and libraries in Python to present data visually
Write SQL to query databases and explore relational database concepts
Apply various Data Science and Machine Learning skills, techniques, and tools to complete a project and publish a report