Cloud Computing
Develop a virtual playground for computers by learning to develop a cloud-based service station to unlock the capabilities of remote-based computer systems with cloud computing. With this 8-week program, get your headstart to become a Cloud Engineering in leading networking industries.
Upcoming Batches
Here are the updates on our upcoming batches with the starting and ending duration for this course, in which you can enrol to start your learning journey with inspired and passionate candidates.
Build your subject-matter expertise
When you enroll in this course, you'll also be asked to select a specific program.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV Share it on social media and in your performance review
Module 1
2 hours to complete
In Module 1, you delve into some fundamentals of Data Science. In lesson 1, you listen to how other professionals in the field define what data science is to them and the paths they took to consider data science as a career for themselves. You explore different roles data scientists fulfill, how data analysis is used in data science, and how data scientists follow certain processes to answer questions with that data. Moving on to Lesson 2, the focus shifts to the daily activities of data scientists. This encompasses learning about various real-world data science problems that professionals solve, the skills and qualities needed to be a successful data scientist, and opinions on how “big data” relates to those skills. You also learn a little about various data formats data scientists work with and algorithms used in the field to process data.
What's Included?
11 videos
6 readings
5 assignments
1 discussion prompt
Module 2
3 hours to complete
In Module 2, you delve into some fundamentals of Data Science. In lesson 1, you listen to how other professionals in the field define what data science is to them and the paths they took to consider data science as a career for themselves. You explore different roles data scientists fulfill, how data analysis is used in data science, and how data scientists follow certain processes to answer questions with that data. Moving on to Lesson 2, the focus shifts to the daily activities of data scientists. This encompasses learning about various real-world data science problems that professionals solve, the skills and qualities needed to be a successful data scientist, and opinions on how “big data” relates to those skills. You also learn a little about various data formats data scientists work with and algorithms used in the field to process data.
What's Included?
11 videos
6 readings
5 assignments
1 discussion prompt
Module 3
4 hours to complete
In Module 3, you delve into some fundamentals of Data Science. In lesson 1, you listen to how other professionals in the field define what data science is to them and the paths they took to consider data science as a career for themselves. You explore different roles data scientists fulfill, how data analysis is used in data science, and how data scientists follow certain processes to answer questions with that data. Moving on to Lesson 2, the focus shifts to the daily activities of data scientists. This encompasses learning about various real-world data science problems that professionals solve, the skills and qualities needed to be a successful data scientist, and opinions on how “big data” relates to those skills. You also learn a little about various data formats data scientists work with and algorithms used in the field to process data.
What's Included?
11 videos
6 readings
5 assignments
1 discussion prompt
Module 4
5 hours to complete
In Module 4, you delve into some fundamentals of Data Science. In lesson 1, you listen to how other professionals in the field define what data science is to them and the paths they took to consider data science as a career for themselves. You explore different roles data scientists fulfill, how data analysis is used in data science, and how data scientists follow certain processes to answer questions with that data. Moving on to Lesson 2, the focus shifts to the daily activities of data scientists. This encompasses learning about various real-world data science problems that professionals solve, the skills and qualities needed to be a successful data scientist, and opinions on how “big data” relates to those skills. You also learn a little about various data formats data scientists work with and algorithms used in the field to process data.
What's Included?
11 videos
6 readings
5 assignments
1 discussion prompt
There are 4 modules in this course
Do you want to know why data science has been labeled the sexiest profession of the 21st century? After taking this course, you will be able to answer this question, understand what data science is and what data scientists do, and learn about career paths in the field.
Software Engineering Fellowship
In today's technological context, the combination of software engineering and cloud computing in a fellowship programme is very important. Cloud computing has become an indispensable component of software development, providing scalable and cost-effective options for hosting programs, storing data, and managing computer resources.
Participants in these programmes may be able to work on projects involving the deployment and optimization of applications on cloud platforms. They may also obtain knowledge of DevOps principles, which stress collaboration between software development and IT operations in order to automate and enhance software delivery.
Recommended if youre interested in Data Analysis
Data Science
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Machine and Deep Learning
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Why people choose TutorInc for their career
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Service Manager, A&A Healthcare Services Limited
