Artificial Intelligence & Data Science
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IBM Data Science Professional Certificate

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Course Features

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Duration

11 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

Beginner

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Effort

4 hours per week

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Teaching Type

Self Paced

Course Description

Data science has been one of the most popular occupations over the past decade. Data scientists are in high demand. They must be able to analyse data and communicate their findings to make data-driven decisions. Anyone interested in a career as a data scientist or machine learning professional can use the IBM Professional Certificate to acquire relevant skills and gain experience.

Data scientists do not need a Ph.D. This Professional Certificate is available to anyone. This Professional Certificate is available to anyone with no prior knowledge.

The program offers 9 online courses. This program will provide you with the latest job-ready skills, including Python, databases, SQL, open source tools, libraries, data visualization, statistical analysis, and predictive modeling. You'll gain hands-on experience with the IBM Cloud and learn data science by using real data science tools that work with real data sets.

These courses will prepare you for a portfolio of data-science projects, which will help you to be a successful data scientist.

To recognize your data science skills, you will be awarded a Coursera Professional Certificate as well as a digital badge by IBM.

Course Overview

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Virtual Labs

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International Faculty

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Case Based Learning

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Post Course Interactions

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Case Studies,Hands-On Training,Instructor-Moderated Discussions

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Case Studies, Captstone Projects

Skills You Will Gain

Prerequisites/Requirements

No prior experience required

What You Will Learn

Apply various data science skills, techniques, and tools to complete a project and publish a report

Develop hands-on skills using the tools, languages, and libraries used by professional data scientists

Import and clean data sets, analyze and visualize data, and build and evaluate machine learning models and pipelines using Python

Learn what data science is, the various activities of a data scientist’s job, and methodology to think and work like a data scientist

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