DataCamp founders: low-code solutions will be trending in 2023

Spanish version

DataFramed is DataCamp’s podcast, an educational platform with more than 10 million users worldwide that offers online training to develop skills in the field of data science.

In the first episode of 2023, Jo Cornelissen, CEO of DataCamp, Martijn Theuwissen, COO and host Richie Cotton, talked about the trends and predictions related to the world of data in 2023, such as the increase in the specialization of roles such as engineers of Analysis (Analytics Engineers), MLOps engineers and the increase of learning and development people (L&D) focused on increasing data literacy in companies. Data literacy is the ability to understand and use data to make informed decisions. This includes the ability to collect, organize, analyze and visualize data to obtain significant information.

Jo and Martijn discussed the importance of data skills both inside and outside the workplace, pointing out that data literacy will become the main current by 2023. They also pointed out that investments in data and AI can shift towards cost savings as the economy cools down.

Also they discussed how data skills are becoming more widespread and how they may further permeate society. Spreadsheets are still very popular and have a large market share, but low-code and no-code platforms such as Power BI and Tableau are gaining popularity and being used more by companies to equip their employees with data skills.

In his opinion, the traditional educational system is beginning to shift to focus more on data skills, although there is still some way to go before these skills become fully integrated into the curriculum. For them there is a transformation in the way in which people access data and use tools such as?low-code?and non-code platforms. This has made it easier for those who are not scientists or data analysts access the data and use notebooks (such as those used in the low-code solutions of this blog). According to Jo, we will see an increase in data practitioners using these tools, as well as market consolidation in the business intelligence space with Power BI and Tableau continuing to be the market leaders, but also a shift towards cloud native collaboration tools that enable a broader group of people.?

I think when we're moving towards a situation where also this notebook is getting more and more accessible by the non-data scientists and the non-data analysts and the non-machine learning engineer in the company. I think it's gonna?democratize the workflow?that, that you see today.?- Jo Cornelissen

Another point addressed in the podcast refers to how business intelligence tools are becoming more powerful and capable of connecting with data stored in the cloud, creating reports and dashboards that can be accessed from mobile phones, and making collaboration between team members easier.

They also discuss how cloud-native notebooks are making it easier for people to get started with data science and how data professionals are transitioning their workflow to the cloud. They mention the challenge of package management and talk about what's coming up next with Data Camp Workspace. This is another option to run our low-code solutions, besides GitHub Codespaces.

Jo and Martijn also discuss how their Data Science team are actively using the cloud-native collaborative notebook workspace, and how they hope to build on this use case in the coming year.

They also discussed generative AI tools like GPT-3 and OpenAI Codex, which have been seen to increase developers productivity by 40% when coding with the help of tools build on these models and datasets, such as GitHub Copilot. These tools are starting to become more accessible, leading to wider adoption in the creative and technical fields.

Regarding job market, they explain that data science roles are still highly sought after and lucrative. In their opinion even if the economy cools down, having data knowledge is going to be a differentiating skill which will give applicants an edge when looking for jobs. AI tutors are also being developed which will make private tutoring available to more people around the world.

[…]?I think if the economy cools down and it will be more competitive to get certain roles or jobs, I actually think that having that data knowledge is gonna be a differentiating skill and that more and more organizations will ask for it -?Martijn Theuwissen

Hiring managers have to sift through a lot of resumes in the current job market, and it can be difficult to find the right candidate. Their recruit product goal is to make this easier by giving hiring managers more targeted applicants with demonstrable skills. Certifications and portfolios can help job seekers stand out, but these can be expensive for many people.

Finally they talk about the trends they see in hiring and data analytics for 2023. They spoke about the importance of connecting job seekers with the right people, as well as searching for candidates based on demonstrable skills. They also spoke about the legal framework surrounding generative AI and new applications of data, and the importance of ensuring data is correct.

DataFramed provides a great content related to data and it’s targeted to a general audience. It’s available in all podcasting platforms.

Be part of this low-code trend in 2023 following our blog, using the low-code solutions that we propose and comment which solutions could be useful for you.