The Data Science Conference

May 12-13, 2022 | USA

The Data Science Conference is a uniquely excellent conference. Advisory board, speakers, and attendees come from all fields of business analytics and academia like data science, big data, data mining, machine learning, artificial intelligence, or predictive modeling. What brings them here is their common desire to attend an event without being prospected by other attendees.

Spotlight

I think you'll agree with me if I say: It's HARD to know whether to use Python or R for data analysis. And this is especially true if you're a newbie data analyst looking for the right language to start with. It turns out that there are many good resources that can help you to figure out the strengths and weaknesses of both languages. They often go into great detail, and provide a tailored answer to questions such as "What should I use for Machine Learning?", or "I need a fast solution, should I go for Python or R?". In today's post, I present to you our new Infographic "Data Science Wars: R vs Python", that highlights in great detail the differences betweens these two languages from a data science point of view. So that next time you are debating R vs Python for machine learning, statistics, or maybe even the Internet of Things, you can have a look at the infographic and find the answer.


OTHER PAST CONFERENCES

Data Science for Business Conference and Exhibition

June 22-23, 2022 | Australia

This two-day event is being opened by the Hon Stephen Dawson, Minister for Emergency Services; Innovation and ICT; Medical Research; Volunteering. This exciting event will bring together up to 800 industry professionals and data science providers to explore how data science can be used to support the growth and innovation of WA businesses.

Chief Data & Analytics Officer Exchange

January 30-February 1, 2022 | USA

Join fellow data & analytics leaders in Beverly Hills, California for the CDAO Exchange, January 30th - February 1st! We look forward to bringing together the data & analytics community to learn, connect and benchmark together, all while continuing to offer unmatched live speaker presentations from leading data & analytics executives.

8th Annual Big Data and Analytics Summit Canada

June 22-23, 2022 | Canada

The 8th Annual Big Data and Analytics Summit Canada returns to Toronto in 2022 with leading data experts from a wide variety of industry sectors.

Data Summit 2022

May 17-18, 2022 | USA

We're excited to welcome our community of data professionals back to Boston this May for three days of practical advice, inspiring thought leadership, and in-depth training. Join your peers to learn, share, and celebrate the trends and technologies shaping the future of data. See where the world of big data and data science is going, and how to get there first. At Data Summit 2022, you’ll hear the innovative approaches the world’s leading companies are taking to solve today’s key challenges in data management. Whether your interests lie in the technical possibilities and challenges of new and emerging technologies or using Big Data for business intelligence, analytics, and other business strategies, Data Summit 2022 has something for you!

Spotlight

I think you'll agree with me if I say: It's HARD to know whether to use Python or R for data analysis. And this is especially true if you're a newbie data analyst looking for the right language to start with. It turns out that there are many good resources that can help you to figure out the strengths and weaknesses of both languages. They often go into great detail, and provide a tailored answer to questions such as "What should I use for Machine Learning?", or "I need a fast solution, should I go for Python or R?". In today's post, I present to you our new Infographic "Data Science Wars: R vs Python", that highlights in great detail the differences betweens these two languages from a data science point of view. So that next time you are debating R vs Python for machine learning, statistics, or maybe even the Internet of Things, you can have a look at the infographic and find the answer.

resources