Artificial Intelligence & Data Science
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Professional Certificate in IBM Data Science

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Course Features

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Duration

12 months

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Effort

6 hours per week

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Teaching Type

Self Paced

Course Description

The demand for data science and machine learning skills is high across all industries. This means that the market for data professionals is growing. After completing the Professional Certificate program, your skills and experience will allow you to launch a career in machine learning and data science. You will learn real data science tools, real-world problems, and data sets through hands-on assignments. This curriculum will cover many data science topics, including open source tools and libraries and methodologies, Python, databases and SQL, data visualization, machine learning, machine learning, and data analysis. This program does not require any prior programming or computer science knowledge.

Anyone can learn to use computers and have a passion for learning. We start small and work our way up to more difficult problems.

This program is designed to help you jumpstart your career in data science. It also provides you with a portfolio data science deliverables that will give you the confidence you need to start your data scientist career.

Course Overview

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International Faculty

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Post Course Interactions

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Instructor-Moderated Discussions

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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

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