Hello Guys! Presenting the increasing demand for data science and technology, we will take the best course for you which will be very useful. Master’s In Data Science And AI Master’s Degrees are highly sought after and are guaranteed to provide students with the skill set to start their career in the field.
The goal of a degree program is to teach students a functional set of skills that they can use at their job from day one. This could mean that you learn how to code, or need specific courses on probability theory and machine learning. All courses in Master’s programs are aimed at teaching students about a particular topic or skill.
| Duration | Study Hours | Mode of Classes | About Subscription | |
| 2 Weeks | 6 Hours Weekly | 100% Online | 750 per Month |
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A Glimpse Of Life As A Student Of Data Science And AI
This course for Master’s In Data Science And AI is designed to assess your understanding of data science and the surrounding topics.
You will be made aware of the key considerations in making an informed decision around choosing a Master’s in Data Science and Artificial Intelligence.
Data Science and AI are emerging as key technical fields at a time when they are central to all business strategies.
Powered by the internet, technology, and big data, data science is helping organizations analyze their interactions with customers, communities, and others. AI lets machines control these analyses, allowing them to learn from data sets.
As a master In Data Science And AI professional, you’re constantly looking for new ways to do your job. Besides, looking back at your academic history and discovering that you skipped a few classes might make you wonder, “Why didn’t I have time to study this stuff?”
Some of the course content is available for 13 hours per week. You could complete the whole course which would be 33 hours. But we recommend 18 or 20 hours per week if you prefer intensive learning, but with a more relaxed pace, less time required to study, and better results.
Learning in this Courses
At every step of the course, you can meet other learners, share your ideas and join in with active discussions in the comments. The course is delivered by expert instructors and aims to be as interactive as possible to encourage discussion and learning. You will discuss this course using your existing portfolio of projects, demos, or papers.
What You Are Going To Learn
- Context and Environment
- Mathematics
- Data Fundamentals
- privacy and ethics
- Programming
- Statistical Thinking
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What Time Works Best For You?
What time works best for you depends on the type of data science project you’re working on. Scheduling an appointment that works for your schedule can help, so I will recommend checking in with our scheduling team to see if it might be a good time for you to visit.
What you will get from this course
This course is focused on using the latest technology to solve real-world problems.
In this class, you will learn how to use big data and advanced machine learning techniques to analyze and extract valuable information from massive datasets.
- Produce an output based on data science
- Take the next step in your education with confidence
- Establish a study plan and prioritize study options in order to enter the field of data science
- Mathematical concepts and Python programming are included in this course on data science
The Benefits Of This Course
This course is intended to be a comprehensive introduction to Master’s in Data Science and AI.
This course will cover both quantitative and qualitative aspects of the field, and students should be expected to spend some time reading and doing independent research.
Therefore, we will use a mixture of lectures, tutorials, examples, case studies, and exercises for the learning process during this first semester.
Coventry University has led a collaborative partnership of leading higher education institutions to develop the course.
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Software Or Tools Are Required
This course covers the fundamentals of data science and machine learning, starting with Python. We will be using Jupyter Notebook to learn Python. There are many ways to try Jupyter Notebook for free, including Google Colab, Try Jupyter classic notebook or JupyterLab, or install the Anaconda Individual Edition. Check out this guide if you need help installing Anaconda on your system
With whom will you learn?
Mark Johnston:-
Mark is an Assistant Professor in the School of Computing, Electronics, and Mathematics at Coventry University in the UK. His research focuses on computational learning, modeling, and simulation of complex phenomena, intelligent systems, and their use in education.
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Paul Matthews:-
Paul is a Senior Lecturer in the Department of Computer Science and Creative Technologies at UWE Bristol in the UK. He is active in the areas of information science and data science, designing and managing research projects in these areas.
William Sayers:-
Sebastian is a senior lecturer at the University of Gloucestershire. He is interested in AI and data science, with an emphasis on optimization problems, and has worked in several industry domains including management consulting and consumer product research.
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Ways to learn
Learn the way that suits you best! |
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Rs.1,919/ one-off payment |
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Rs.750/ Month |
Limited Access
Free Sample of Course Material |
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| Access to this Course | Yes | Yes | Access Expired on 9 Oct 2022 | |
| Access to 1000+ courses | No | Yes | No | |
| Learn At your own Place | Yes | Yes | No | |
| Discuss Your Learning In Comments | Yes | Yes | Yes | |
| Certificate When you are eligible | Printed and digital | Only Digital | No |
| Continue & Upgrade | Subscribe & Continue | Continue with Limited Access |
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