Online
Free
Quick facts
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Medium of instructions
English
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Mode of learning
Self study, Virtual Classroom
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Mode of Delivery
Video and Text Based
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Learning efforts
3-5 Hours Per Week
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Course overview
The Graphs and Data Science online course is developed by the education provider platform INSOFE. The course study is about the basic algorithms and computational problems in data science and is scheduled as ten sessions lecture series throughout the programme. The course educator for the graphs and data science online training is Ashwin Ganesan who is a professor at the International School of Engineering(INSOFE), Mumbai. The course instruction allows the students to discover the aspects of coding, mathematics, and data mining in detail.
In this online programme, the learners will be able to explore the domain of computational thinking and data science. The candidates are taught to arrive at solutions using the tools and techniques of computer science and computational strategies. The lectures and three modules provide experiential learning for the students to gain an in-depth understanding of the data science concepts, link structuring, online advertisements, social networking, and algorithms for graph data.
The highlights
- Online mode
- 10 lectures series
- Additional 3-5 hours per lecture
- Evaluation
- Badge
Program offerings
- Lecture series
- 10 sessions
- Course modules
- Evaluation
- Badge
Course and certificate fees
Type of course
The online training course for learning about graph algorithms is available without payment.
Graphs and Data Science fee structure
Course Fee | Nil |
certificate availability
Eligibility criteria
The candidates are required to possess a fundamental knowledge on basic programming for better understanding of the concepts in this online course.
What you will learn
The Graphs and Data Science online certification course provides an opportunity for the students to gain knowledge on the concepts of data science focussing on the graph algorithms. This online programme enables the students to understand the internet’s assigning of websites according to the search queries of the users. It helps in comprehending the search engine’s relevant response to the search requests of the people. The online training will discuss the issues like exploring communities in the social network when provided with a large graph. The participants will develop the knowledge of artificial intelligence, graph algorithms, deep learning, data mining and web analytics. The learners who have an interest in computer science and coding will get to know more about basic big data algorithms.
Who it is for
This ‘Graphs and Data Science’ online certification programme is targeted for the engineering students, graduates and executives who have a fundamental understanding of programming and those candidates and who aspire to become data scientists.
Admission details
The candidates who are interested in learning about graph algorithms and data science concepts in the online programme can register by filling in the details and clicking the ‘register me’ option on the ‘Graphs and Data Science’ course page on the INSOFE official website.
Filling the form
The candidates can register for the ‘Graphs and Data Science’ online programme by filling in their name, email address and the phone number.
The syllabus
Module 1: Link Analysis
Module 2: Advertising on the Web
Module 3: Mining Social-Network Graphs
How it helps
The candidates who take the free online course on ‘Graphs and Data Science’ develop their expertise on data science concepts with relation to social networking analysis and online advertisements along with the link constructions. It helps with gaining a clear understanding of the computational problems in data mining.
Instructors
Mr Ashwin Ganesan
Professor
Freelancer
Other Bachelors, M.S, Other Masters
FAQs
The International School of Engineering(INSOFE) has developed and is offering the course online.
Prof Ashwin Ganesan who is an associate professor at INSOFE will guide the students throughout the programme.
The only requirement for this online training programme is that the candidate must possess a basic knowledge of programming to have a better understanding.
The online training consists of three modules scheduled for ten sessions where the candidates will have to spend three to five hours after each session.
The course is available for free to the participants online.