Data science is one of those things that experienced a tremendous popularity increase in a short time. This is an identifying characteristic of hype. Some might even think that data science is a hype that awaits its dreadful end. I want to state my opinion first so that you know what to expect in the rest of the article. Data science is absolutely not hype.

Analytics Vidhya was created with a mission to create the next generation data science ecosystem in India. Today, we help millions of people and stream millions of hours of videos every month. Tens of thousands of people participate in our hackathons every weekend and thousands of people are finding meaningful career opportunities through our portal today. We couldn't thank our community members enough for this. I could not have imagined this impact when we started Analytics Vidhya.

At Voyance, our ultimate mission is to democratize machine learning for everyone in the data science ecosystem and as such, we are so happy to announce WithData. WithData is a 5 min video interview showcasing and interviewing data analyst, scientist, product managers and engineers helping African organisations make data driven decisions. The data science ecosystem in Nigeria is still very nascent and our goal with this series is to help bring spotlight into it and showcase the ever growing amazing talented individuals working in this industry. This video series will also enable these people talk about their work i.e what goes into building a complete predictive models and so much more. If you would like to be part of the video series, kindly fill this Airtable form https://airtable.com/shrDUiLwTVkyWcj6e with your information and we'll get back to you ASAP.

In this post, I show a network analysis of the R and Python ecosystems in terms of their competitors. To identify the typical substitutes/ competitors of a tool, I use the Google search autofill recommendations. Google search prompts identify the most frequently searched terms which occur after a given string and automatically provides a list of suggestions. Thus, this may be treated as a proxy for the common substitutes people search for against a particular tool. In Fig 1 when I start typing "R vs " in the Google Search bar, Google provides a list of suggestions based on their'autocomplete' feature.

The Bank and IVADO will promote innovation in the financial services industry, work to increase networking between universities and the private sector in AI, and encourage philanthropic data analysis initiatives. National Bank will collaborate with IVADO partners like HEC Montréal's Tech3Lab and create targeted AI internships. "With National Bank signing on as a founding member, the IVADO will receive significant support in terms of research and the transfer of technology in the field of finance," said Valérie Bécaert, director of partnerships and knowledge mobilization at IVADO. "We're extremely pleased with this new collaboration which will no doubt give rise to several innovative development projects." The two organizations plan to encourage the sharing of best practices in data management, analysis, and governance with not-for-profit organizations.

In this post, I show a network analysis of the R and Python ecosystems in terms of their competitors. To identify the typical substitutes/ competitors of a tool, I use the Google search autofill recommendations. Google search prompts identify the most frequently searched terms which occur after a given string and automatically provides a list of suggestions. Thus, this may be treated as a proxy for the common substitutes people search for against a particular tool. In Fig 1 when I start typing "R vs " in the Google Search bar, Google provides a list of suggestions based on their'autocomplete' feature.

In this post, I show a network analysis of the R and Python ecosystems in terms of their competitors. To identify the typical substitutes/ competitors of a tool, I use the Google search autofill recommendations. Google search prompts identify the most frequently searched terms which occur after a given string and automatically provides a list of suggestions. Thus, this may be treated as a proxy for the common substitutes people search for against a particular tool. In Fig 1 when I start typing "R vs " in the Google Search bar, Google provides a list of suggestions based on their'autocomplete' feature.

In this post, I show a network analysis of the R and Python ecosystems in terms of their competitors. To identify the typical substitutes/ competitors of a tool, I use the Google search autofill recommendations. Google search prompts identify the most frequently searched terms which occur after a given string and automatically provides a list of suggestions. Thus, this may be treated as a proxy for the common substitutes people search for against a particular tool. In Fig 1 when I start typing "R vs " in the Google Search bar, Google provides a list of suggestions based on their'autocomplete' feature.