5 Upcoming Data Science Conferences You Shouldn’t Miss

Analytics And Information Science

Data science is one of the trendiest fields in technology today. It’s an ever-growing and constantly changing field. There’s no doubt that data science is here to stay, so keeping yourself updated is a must.

There is no better way to stay up-to-date with data science trends than by attending industry-related conferences. Data science conferences keep you updated not only with current trends, but also with challenges and the potentials of your profession.

Since data science is an interdisciplinary field, data science conferences are packed with the brightest minds from all different kinds of professions. Attending these conferences is an opportunity to hear specialists in the hottest industries, including Big Data, analytics and information science.

These 5 conferences made the final cut as the most prominent data science conferences in the last quarter of 2017.

  1. ODSC

Date & Location:

October 12-14, London
November 2-4, San Francisco

Open Data Science Conference is one of the largest data science conferences in the world. ODSC  promotes the use of open source tools in business and raises money for open-source projects.

The main focus of this conference is on open-source frameworks such as Python, Julia and R.

Topics covered at ODSC conference are:

  • Text analysis
  • Big Data tools
  • Graph analysis
  • Data visualisation
  • Hadoop-based frameworks

It’s a perfect place for learning about the latest technical innovations.

  1. THE DATA SCIENCE CONFERENCE

Date & Location:

September 21-22, Seattle

The Data Science Conference has a strong focus on data science as an industry. It’s one of the best conferences dedicated to business analytic professionals, machine learners and predictive analysts.

Topics covered at TDSC:

  • Big Data
  • Data mining
  • Artificial intelligence
  • Pros and cons of open-source
  • Pros and cons of proprietary services

This conference is suitable for all people in data science community.

  1. STRATA DATA CONFERENCE

Date & Location:

September 25-28, New York
December 4-7, Singapore

Strata Data Conference is a must-attend conference if you are a data scientist. This conference gathers the most influential analysts, scientists, developers and business decision makers.

This conference is shaping the future of business and technologies. Attending STC will give you a chance to discover training and career opportunities for data scientists and learn how to derive value from your data.

Topics which this conference covers are:

  • Data Science
  • Real time apps
  • Data engineering
  • Data-driven business
  • Big Data & the Cloud
  1. ICDM

Date & Location:

November 17-21, New Orleans

International Conference on Data Mining is one of the biggest conferences on data mining. This conference puts focus on the role of big data in business, as well as on the latest technologies.

Who should attend ICDM? Professional and researchers from the fields related to data mining – statistics, machine learning, data visualization and pattern recognition.

ICDM covers the following topics:

  • Algorithms
  • Data mining
  • Software systems and applications

If you want to keep yourself updated with latest trends, research, and discussions on new technologies related to data mining, this is the conference for you.

  1. GLOBAL BIG DATA CONFERENCE

Date & Location:

November 16-18, Boston

Global Big Data Conference is aimed at technical and non-technical audience. Attending GBDC will give you the opportunity to discuss data science through the use of various management techniques. The main topic of this conference is big data utilization.

This conference covers:

  • Data science
  • Deep learning
  • Machine learning
  • Real-time processing

If none of these events are close by, you can check out the annual list of data science conferences sorted by date. Find another conference you can attend, don’t let opportunities slip away.