Gain a comprehensive set of advanced data science skills spanning Python programming, machine learning, and data science ethics for immediate application to your current or desired role. Learn at your own pace with weekly asynchronous modules and optional live sessions - 100% online.
Registration ends soon –– next cohort starts

10 weeks, entirely online
excluding orientation
Earn an official certificate
from IBM
Two capstone projects
add to your portfolio
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multiple payment options
Advanced, Job-Ready Data Science Skills
An understanding of advanced data science methodologies, tools, and ethical considerations that can be immediately applied to your role.
Fluency in Key Data Languages
A knowledge of the programming languages commonly used in data science, especially Python.
Machine Learning Skills
The ability to create and deploy machine learning models for practical applications.
Experience Completing Two Comprehensive Projects
Highlight the skills you’ve acquired in your portfolio.
Learn how our IBM technical microcredentials go beyond the traditional value of massive open online courses.
Study at your own pace and in your own time, entirely online
Apply what you learn each week to quizzes and ongoing project submissions
Interact with your peers and learning facilitators through optional weekly live sessions
Apply your new skill set with two comprehensive projects and add to your portfolio
Earn a certificate from IBM — an industry leader for more than a century
Learn from IBM subject matter experts who will guide you throughout your learning experience
Benefit from peer interaction and networking opportunities within a supportive, engaged cohort
Enhance your learning experience with our AI-powered, personalized Learning Assistant
Study at your own pace and in your own time, entirely online
Apply what you learn each week to quizzes and ongoing project submissions
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Over the duration of this online technical microcredential, you’ll work your way through the following modules:
 Data Science Methodologies
Explore two data science methodologies that can be used to solve data science problems.
Using Python for Data Science
Learn the fundamentals of Python programming and working with data in Python.
Python Fundamentals and Data
Explore the foundational and practical techniques in web scraping and data extraction using Python.
SQL for Data Science
Learn Structured Query Language (SQL) and how it can be applied to data science problems.
Using Python to Analyze Data
Develop an understanding of working with data in Python and apply this knowledge practically.
Data Visualization Using Python
Create, interpret, and present effective data visualizations using Python libraries and tools, transforming complex datasets into actionable insights.
Introduction to Machine Learning with Python
Learn about applied machine learning using Python tools.
Supervised and Unsupervised Machine Learning
 Explore supervised and unsupervised machine learning modeling and evaluation techniques.
Capstone Project 1: Data Collection, Wrangling, and Analysis
Collect, clean, and explore data to gain insights into a real-life business problem.
Capstone Project 2: Presenting Data-Driven Insights
Create and share actionable insights into a real-life business problem.
Learn more about this technical microcredential from GetSmarter, including payment options and registration details.
This IBM technical microcredential is delivered in collaboration with online education provider GetSmarter. Join a growing community of global professionals, and benefit from:
Personalized and People-Mediated Experience
Enjoy an online learning experience created to make you feel supported at every step.
International Selection of Universities
Gain relevant competencies and earn invaluable recognition from reputable universities.
Flexible but Structured Approach
Plan your learning around your life to meet weekly milestones, entirely online.
Enter your information in three easy steps to learn more about this technical microcredential from GetSmarter, including payment options and registration details.