What are the research topics in Data Science?

Ten Research Areas

  • Scientific Understanding of Learning, Especially Deep Learning Algorithms. …
  • Causal Reasoning. …
  • Precious Data. …
  • Multiple, Heterogeneous Data Sources. …
  • Inferring From Noisy and/or Incomplete Data. …
  • Trustworthy AI. …
  • Computing Systems for Data-Intensive Applications.

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Moreover, what are some good thesis topics in Data Science?

Here are some of the latest data topics to consider when writing a research paper or essay.

  • Tools and software for processing big data.
  • Privacy and security issues that face big data.
  • Scalable architectures for processing massively parallel data.
  • Analyzing large scale data for social networks.
Accordingly, what are the current research topics in big data? General big data research topics [3] are in the lines of:

  • Scalability — Scalable Architectures for parallel data processing.
  • Real-time big data analytics — Stream data processing of text, image, and video.
  • Cloud Computing Platforms for Big Data Adoption and Analytics — Reducing the cost of complex analytics in the cloud.

Regarding this, what are the main topics in Data Science?

The syllabus of Data Science is constituted of three main components: Big Data, Machine Learning and Modelling in Data Science. The major topics in Data Science syllabus are Statistics, Coding, Business Intelligence, Data Structures, Mathematics, Machine Learning, Algorithms, amongst others.

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