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You’re a data science professional looking to better understand fundamental math concepts.
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You wish to become a better ML practitioner by understanding the role of probability, statistics, hypothesis testing, linear algebra, and calculus in ML.
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You work with data scientists, ML practitioners, or statisticians who frequently use mathematical models in their daily work.
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You’re an analyst, a project manager working with data science teams, or a software engineer interested in numerical computing.
Anaconda Certified: Math Fundamentals for Data Science & Machine Learning
Gain foundational math knowledge and practical skills required for success in the ever-changing fields of data science and machine learning (ML).
By the end of this certification program, you’ll learn:
Fundamental math concepts that underpin AI, empowering you to build and deploy AI solutions at a more profound and impactful level.
Core principles, such as gradient descent and regression models, that are crucial for model formulation, training, and evaluation.
How mastery of math concepts can help you improve your analytical and problem-solving skills, which are imperative to address challenges encountered in AI/ML projects.
Statistics and Hypothesis Testing
Learn fundamental skills to describe and analyze data with Python.
Math Fundamentals for Data Science and Machine Learning
Gain foundational math knowledge and practical skills required for success in the ever-changing fields of data science and machine learning (ML).
Become Anaconda Certified
Complete all courses and pass the exam to claim your certificate.
This is for you because...
Prerequisites
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Get Started with Anaconda course (optional)
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Basic Python proficiency (e.g., variables, loops, collections, and functions) and familiarity with library usage.
INSTRUCTOR
Thomas Nield
Thomas is the Founder of Nield Consulting Group and Yawman Flight, and an instructor at University of Southern California. He has authored bestselling books, including Essential Math for Data Science (O’Reilly).
Frequently Asked Questions
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What is the expected time to complete the exam?
The exam contains 50 multiple-choice questions. We anticipate you taking approx. 1 minute per question. Therefore, you should be able to attempt all questions within an hour or so. Note that the exam itself is not timed. You will see the following instruction before starting the exam: "The exam should be completed in one session, rather than pausing and resuming."
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Can I refer to study materials during the exam?
The exam is closed book. Our Exam Instructions explicitly state the following: "This is an individual exam, and collaboration or seeking external assistance is strictly prohibited. / Do not attempt to copy, print, or save any exam questions or materials."
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Is there a validity period for the certification?
The certification does not have an expiration date. However, the content and practices covered by the certification reflect the latest Python best practices at the time. If there are updates required due to marketing or technical advancements, the certification/product might be retired and/or replaced.
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Will there be someone monitoring the exam?
No, the exam is not proctored.
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Can I take the exam from home?
You will take the exam remotely, whenever you're ready, using your own computer or laptop. Our Exam Instructions state the following: "Ensure that you have a stable internet connection throughout the duration of the exam. / Use a desktop or laptop computer for optimal compatibility. Mobile devices and tablets are not recommended."
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How do I add the certification to my LinkedIn profile?
Once you successfully pass the exam, visit My Certificates. Click on View certificate for this certification program. You will see an option there for sharing your certificate on LinkedIn.