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IBM Introduction to Machine Learning Coursera

Highlights
Tuition fee
Unknown
Tuition fee
Unknown
Duration
2 months
Duration
2 months
Apply date
Anytime
Unknown
Apply date
Anytime
Unknown
Start date
Anytime
Unknown
Start date
Anytime
Unknown
Taught in
English
Taught in
English

About

This four-course IBM Introduction to Machine Learning Specialization offered by Coursera in partnership with IBM will help you gain the introductory skills to succeed in an in-demand career in machine learning and data science. 

Overview

Machine learning skills are becoming more and more essential in the modern job market. 

After completing this program, you’ll be able to realize the potential of machine learning algorithms and artificial intelligence in different business scenarios. You’ll be able to identify when to use machine learning to explain certain behaviors and when to use it to predict future outcomes. You’ll also learn how to evaluate your machine learning models and to incorporate best practices. 

By the end of this IBM Introduction to Machine Learning Specialization offered by Coursera in partnership with IBM, you will have developed concrete machine learning skills to apply in your workplace or career search, as well as a portfolio of projects demonstrating your proficiency. In addition to receiving a certificate from Coursera, you'll also earn an IBM Badge to help you share your accomplishments with your network and potential employer.

You can also leverage the learning from the program to complete the remaining two courses of the six-course IBM Machine Learning Professional Certificate and power a new career in the field of machine learning. 

Applied Learning Project

In this program, you’ll complete hands-on projects designed to develop your analytical and machine learning skills. You’ll also produce a summary of your insights from each project using data analysis skills, in a similar way as you would in a professional setting, including producing a final presentation to communicate insights to fellow machine learning practitioners, stakeholders, C-suite executives, and chief data officers.

You are highly encouraged to compile your completed projects into an online portfolio that showcases the skills learned in this Specialization.

Programme Structure

Courses include:

  • Exploratory Data Analysis for Machine Learning
Retrieve Data From Multiple Data Sources
  • Common Feature Selection And Feature Engineering Techniques
  • Supervised Learning: Regression
  • Supervised Learning: Classification
  • Unsupervised Learning

Key information

Duration

  • Part-time
    • 2 months
    • 10 hrs/week

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online
  • Self-paced

Campus Location

  • Mountain View, United States

What students do after studying

Join for free or log in to access our complete career info list.

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

  • Intermediate Level
  • Some related experience required.
  • This specialization is aimed at learners and professionals who want to build foundational machine learning skills and apply them to real‑world business problems, while developing a project portfolio for career advancement.

Tuition Fees

Additional Details

Course is free for the first 7 days. After 7 days, the course can be accessed with the Coursera Plus Subscription

Funding

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