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
This 8-week fellowship programme combines software engineering and business intelligence is significant because it meets the growing demand for people who can design software applications that efficiently harness the power of data for business insights. Organizations that want to make educated decisions, spot trends, and gain a competitive edge must invest in business intelligence.
Participants in these programmes may be able to work on projects, including the development of software solutions for data collecting, processing, and analysis. They may learn how to create systems that support business intelligence and work with business analysts to understand data needs.
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
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Mohammed Asmal
Service Manager, A&A Healthcare Services Limited
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Mohammed Makhdum
Service Manager, A&A Healthcare Services Limited
