Before you sign up
Suits learners with some Python, maths and statistics who want a hands-on grounding in classic machine learning algorithms. What stands out is the project focus, with labs in every course and a capstone. The main caveat is the time estimate: the page says 3 months at 10 hours a week in one place and 42 to 60 hours of study in another. A subscription is needed and no price is shown. For a more maths-led route, compare the Machine Learning Specialization from DeepLearning.AI.
What you'll learn
IBM's six-course Professional Certificate on Coursera for learners with some maths, statistics and Python. It covers exploratory data analysis, regression, classification, unsupervised learning, deep learning and reinforcement learning, using libraries such as scikit-learn, Keras and TensorFlow, and ends with a capstone project and an IBM digital badge.
More courses on machine learning.
Who it's for
Data scientists and analysts, Developers and engineers.
Level: intermediate (as stated by the provider). Delivery: online, self-paced.
Prerequisites
Some background in maths, statistics and computer programming; labs and projects use Python.
How much does IBM Machine Learning Professional Certificate cost?
Paid subscription. Price not recorded yet. Coursera subscription; financial aid available.
Certificate: professional certificate. Professional Certificate from IBM and an IBM digital badge (Coursera).
Questions people ask
How much does this course cost?
Paid subscription. Price not recorded yet.
Is there a certificate?
Yes: professional certificate. The provider calls it "Professional Certificate from IBM and an IBM digital badge (Coursera)".
Do I need experience first?
It's an intermediate course. Prerequisites: Some background in maths, statistics and computer programming; labs and projects use Python.
When does it start?
Start any time.