IBM Data Science Professional Certificate

Coursera

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Course Features

Duration

11 months

Delivery Method

Online

Available on

Limited Access

Accessibility

Desktop, Laptop

Language

English

Subtitles

English

Level

Beginner

Effort

4 hours per week

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

Virtual Labs

International Faculty

Case Based Learning

Post Course Interactions

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

Case Studies, Captstone Projects

Skills You Will Gain

Prerequisites/Requirements

No prior experience required

What You Will Learn

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

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

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

Course Content

Expand all sections

Module 1: What is Data Science?

Module 2: Tools for Data Science

Module 3: Data Science Methodology

Module 4: Python for Data Science, AI and Development

Course Instructors

Rav Ahuja

Global Program Director

Rav Ahuja is a Global Program Director at IBM. Rav leads growth strategy, curriculum creation, and partner programs for the IBM Skills Network. He is the architect for the IBM Data Science Profession...

Alex Aklson

Ph.D., Data Scientist

Alex Aklson, Ph.D., is a data scientist in the Digital Business Group at IBM Canada. Alex has been intensively involved in many exciting data science projects such as designing a smart system that co...

Aije Egwaikhide

Senior Data Scientist

Aije Egwaikhide is a Data Scientist at IBM who holds a degree in Economics and Statistics from the University of Manitoba and a Post-grad in Business Analytics from St. Lawrence College, Kingston. Sh...

Svetlana Levitan

Senior Developer Advocate with IBM Center for Open Data and AI Technologies

Senior Developer Advocate with IBM Center for Open Data and AI Technologies, Svetlana has been a software engineer and technical lead for SPSS for many years. She works on open standards for machine ...

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