How to Stay Up to Date With the Latest Trends and Technologies in Data Science?

This article will help to stay up to Date with the Latest Trends and Technologies in Data Science.

As we all know, data science is based on Data, and this data changes and modifies every day and every second, so a data scientist or individuals must stay up to date with the latest trends and technology. A data science expert or individuals must stay updated about the existing and emerging technologies in data science to keep their knowledge and skills trendy. 

Based on the US Bureau of labour statistics report, jobs related to data science are estimated to reach 22% by 2030. Thus it is essential to stay ahead in the race. As new technologies emerge and existing ones are improved, data scientists must keep their knowledge and skills relevant. In this article, we will dive deep into the tips that will help to stay up to Date With the Latest Trends and Technologies in Data Science.

Explore Online Data Science Courses and Stay Abreast with the Latest Trends

How to Keep Up With the Latest Trends and Technology in Data Science?

Join Associations, Communities and Groups 

A very renowned way of staying up to date with the latest trend and technologies in data science is to join an online association, community or group that can help individuals to stay aware of all new technologies and inventions of the world. Individuals or students can join these online communities or groups on LinkedIn, Twitter, Facebook and Reddit. Some renowned data science communities and societies are 

• Data science central 
• pyData
• Association for computing machinery 
• Kaggle 

Pursue Experts in the Data Science Industry 

Isn’t it right to follow the renowned leaders of your field on social media? And by just following them, one can get to know new ideas and emerging data science technologies. Anyone can learn a lot about the modern tools and technology to solve many data science problems by pursuing their blogs, webinars, post and work on social media. Here are some famous data scientists one can follow. 

• Andrew Ng
• Kirk D Borne
• Hadley Wickham

Study blogs related to data science 

The nicest way to learn about data science is to study blogs and publications related to emerging technologies and data science. Reading blogs keeps your basics clear and helps you learn new tools and ideas.

 One can subscribe to any publication or blog newsletter to stay aware of new technologies. According to towardsdatascience.com, here are some renowned newsletters of data science.

• The Pudding 
• ImportAI
• The Week in Data 
• CB Insights 

Take part in a competition related to data science 

As we all know, participating in any competition boosts our confidence and helps us learn new skills and knowledge. Participating in any competition in data science is another great way to stay up to date with the latest trends and technologies. With these events and competitions, one can learn to work on real-life projects and problems. Some well-known competitions and hackathons in data science are offered by these communities, which are as follows. 

• DrivenData
• HackerEarth
• Datahack
• Codalab
• International data analyses olympiad 
• Kaggle

Listen to the podcast on data science  

Listening to the podcast is an effective way to dive into specific topics and learn about new real-world case studies. According to thinkful.com, here are some top must-listen podcasts.

• Data sceptic
• DataFramed
• Lex Fridman Podcast
• Data futurology

How to brush up on data science skills?

Work on Real life projects 

Whether coding or data science, practising it repeatedly is the only way to become the best in your field. By practising real-life projects with real-life problems, one can stay up to date with the existing technology and learn new tools. It is essential to use it on projects to gain practical experience in your skills and knowledge. To build a strong profile in data science, here are some projects that one can make 

• Fraud detection
• Next word prediction
• Breast cancer detection
• stock price prediction 
• life expectancy prediction  

Get hands-on online courses and training programs  

The best way of staying up to date with the latest trends in data science is to stay aware of the online courses and training programs; this program provides an opportunity for all curious people to learn more about data science. The major benefit of online courses is that they are not costly, and one can learn at their own pace.

Best Data Science Conferences and Workshops to Attend in 2023

Conferences and workshops are the best way to enhance your knowledge in your field. By participating in the data science conference and workshops, one can expose themselves to new emerging ideas and trends in data science. 

Data and AI summit hosted by Databricks

Date- 26 to 29 June 2023 

it is a four-day event that includes discussion and hands-on workshops on machine learning, AI, data engineering and many more. This conference can be attended virtually(free of cost) and in person($1595) in san francisco as well. 

Coalesce hosted by dbt labs 

Date 16-20 October 2023

Coalesce is a five-day event that can be attended in person and virtually. This conference includes discussions and workshops on data science, ML, testing, data engineering, etc. 

Big Data LDN 

Date 20-21 September 2023

it is free of cost data science conference in London that covers the latest data science technologies and trends.

Thoughtspot Beyond 2023

Date 9-10 May 2023 

It is free of cost event that can be attended virtually; this conference includes hands-on experience on trending technologies.

What are the Benefits of Staying Up to Date?

Develop Competing Ability 

In today’s job market, companies seek competitive skills to stand out in every adverse situation. Those with relevant and latest data science skills are in high demand as they can work on new projects and ideas. The “Future of Jobs” report by the world economic forum revealed that by 2025, 50% of employees would need to reskill themselves to keep up with the rapidly changing technology. 

It helps in Enhancing Skills 

Data science is a field that is constantly changing, and those who wish to lead a good career in this field also requires to work hard and keep an eye on the changing trends. According to the Bureau of Labour Statistics, the employment of data scientists is estimated to grow 36% by 2031. Therefore, one can find several opportunities in data science to grow. 

Improves Knowledge 

By following data science influencers and communities of data science, one can improve their knowledge daily through blogs and social media posts. If someone wants to excel in a data science career and what’s better than following the young leaders of data science on social media? 

Improved Decision-Making Ability 

When you stay aware of new technologies and tools, then with the help of new tools and techniques, you can help generate more accurate and suitable decisions.

Increases Efficiency

Well, every machine helps in improving the efficiency of the human being. Similarly, Data science techniques and tools help automate some specific work that helps improve efficiency. According to Deloitte, robotic process automation could reduce manpower by 25-30%. This increased efficiency helps work on more difficult tasks than repetitive work.

Expanded Network 

Building a great and large network can help an individual to grow and expand their career; connecting with the people of data science through webinars, events, and conference lets you expand your network. This strong network helps individuals to open the doors to opportunity. An expanded network always helps from finding new job opportunities to creating a new project. 

The Benefits of Pursuing a Data Science Degree or Certification

Choosing a career in data science will make your personality versatile, as you can pursue your passion by working in any sector like healthcare, finance, technology and marketing. The one who thinks they can use and analyse the data to solve problems can make a bright career in data science. 

Unsurprisingly, data science is the future of technology, and getting a degree or certification in data science can put you ahead in the job market. Talking about the salary of a data scientist, then, according to Glassdoor, the average salary of a data scientist in the USA is $103906. With the rapid growth of technology, the demand for data scientists will rise worldwide. According to a report, 11.5 million jobs will be created in the field of data science by the year 2026. To cope with the leading technologies and trends, the one who chose data science as their career is already ahead of the curve. 

Conclusion

It is crucial to stay aware of the latest trends and technology in data science, and by following the steps mentioned above, one can improve their knowledge and skill in their data science career.

 This rapidly evolving field requires you to stay updated with new ideas and techniques to apply to new emerging problems. By putting in some extra effort and practice, one can go ahead of the curve of data science. This article will help you to learn something new about data science. 

Contributed By: Srashti Soni