Study the mathematical foundations you'll need to launch your career as a machine learning developer or AI expert with the course.
The Mathematics for Data Science: Essential Mathematics for Machine Learning and AI certification course is a four-week training that candidates can avail themselves of after enrolling on the programme. The three major branches of mathematics used in computer science and artificial intelligence will be included in this course: linear algebra, calculus, and probability.
From calculations, functions, and graphs to differentiation and optimization, vectors, and matrices, the candidate can study the basic topics in each of these three fields that will be carried out during Mathematics for Data Science: Essential Mathematics for Machine Learning and AI training. The candidate will get to learn the fundamentals of mathematics from the beginner’s level and it doesn’t matter if they have studied mathematics at their school level, the course will begin from the introductory level and will go to the advanced level.
The Mathematics for Data Science: Essential Mathematics for Machine Learning and AI certification will be provided and given to the students in the last as the course gets complete but for that candidates need to complete all the criteria that are set for the course. The certification given will be accredited by Microsoft only to attain high importance in the outer world of AI.
Candidates can initially take the course for free as of the trial but after that, they need to pay the Mathematics for Data Science: Essential Mathematics for Machine Learning and AI fees as of 900 INR per month.
Mathematics for Data Science: Essential Mathematics for Machine Learning and AI fees
Fee category
Amount in rupees
Programme fee
INR 900 per month
Yes
Futurelearn
Below mentioned candidates can take up the Mathematics for Data Science: Essential Mathematics for Machine Learning and AI certification course -
Work experience
No work experience is asked and required to mention at the time of enrolling into the course by Future Learn.
Education
The candidates didn’t need to have any prerequisite in terms of educational qualification to enrol into Machine Learning and Artificial Intelligence (AI) courses.
Certification qualifying details
The candidates will successfully avail their certificate of completion for Mathematics for Data Science: Essential Mathematics for Machine Learning and AI programme after they have paid the fees and have completed 90% of the programme successfully. They should also secure a minimum of 70% in their tests or assignments.
Candidates will learn the following concepts in Mathematics for Data Science: Essential Mathematics for Machine Learning and AI programme -
The admission process for Mathematics for Data Science: Essential Mathematics for Machine Learning and AI online course is as follows -
Step 1: Go to the course's home page https://www.futurelearn.com/courses/essential-mathematics-for-mla-et
Step 2: Until enrolling in the course, double-check all of the information on the website.
Step 3: Select "Start your free 7-day trial" from the switch menu.
Step 4: The next move is to create an account for either Google or Facebook and then log in to the website.
Step 5: Candidates will be led to the billing tab, where they will fill out the necessary details and be successfully enrolled for the Mathematics for Data Science: Essential Mathematics for Machine Learning and AI certification.
Future Learn didn’t provide any financial support for a scholarship for Mathematics for Data Science: Essential Mathematics for Machine Learning and AI training.
As the applicant will be studying under the guidance of Microsoft advisors, they will be eligible for a variety of credential opportunities and Mathematics for Data Science: Essential Mathematics for Machine Learning and AI certification benefits that they will use in their future career or academic pursuits. This course would cover the three main branches of mathematics that are very significant and used in computer science and artificial intelligence.
The candidate will learn the basic topics of each of these three areas during research, ranging from equations, functions, and graphs to differentiation and optimization, vectors, and matrices. Candidates must complete the course within four weeks to be eligible for Mathematics for Data Science: Essential Mathematics for Machine Learning and AI certification benefits.
The course is Microsoft-accredited and established, and it provides candidates with intensive, high-quality training once a candidate is successfully enrolled. Candidates will have a seven-day free trial to see if the course is beneficial to them or if they should complete it and pass. Candidates can receive a variety of incentives in addition to the credential, such as ongoing assistance from a professionally educated coach who can assist them in completing the course more quickly.
Mainly, probability, statistics, algebra, functions, vectors are the main modules that will be taught in this particular course.
The candidate needs to complete the course within four weeks as per the scheduled time frame.
At the end of the completion of the course, the candidate will get the certification.
The Mathematics for Data Science: Essential Mathematics for Machine Learning and AI fees is 39 Dollars that candidates have to pay every month.
The candidate will get access to all lectures on the home page only after enrollment into the course.
No, no financial support is provided to complete the Mathematics for Data Science: Essential Mathematics for Machine Learning and AI training.
No education requirements are there to apply for this course, this is an introductory level course.
The instruction will be conducted entirely online; there will be no other platform available.
No, the training will be provided via online mode.
No enrollment fee is there but to learn the course, the candidate needs to pay the fees.
Brochure has been downloaded.
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