TopD Learning

Industry Trends: Data Science and Analytics

Industry Trends: Data Science and Analytics

Look at how major technologies such as AI and VR are driving trends in data science and analytics.

Big data isn’t going anywhere anytime soon, and the more we learn about it, the clearer the path to success. Because of this, there’s a high demand for people with analytics and data science skills at all kinds of industries around the globe.

In this article, we’ll look at some of the key analytics trends and give you an idea of what’s to come for the workforce!

  1. Natural Language Processing
  2. Responsible AI
  3. Analytics Automation
  4. AR/ VR
  5. Data Security

Conclusion: Data Science is important and it will continue to be so in the near future.

Natural Language Processing

Natural Language Processing (NLP) is a field of computer science, machine learning and artificial intelligence concerned with the interactions between computers and human (natural) languages.

NLP-systems are able to process and understand large amounts of text, spoken or written by humans, and to derive information from it. The NLP-system uses this information to automate certain tasks and make user interactions with the computer more humanlike and natural.

Responsible AI

Responsible AI is an approach to designing and building AI systems that maximize both the benefits to society and the opportunities it provides individuals and organizations to protect themselves.

It emphasizes the importance of human values and providing the means to ensure that benefits are shared more broadly while impacts are mitigated. It also gives a role to autonomous systems and their human users in the implementation of such decisions.

Analytics Automation

Analytics Automation is a powerful tool for helping businesses make faster, better decisions by freeing the business from the time consuming, repetitive process of analyzing data. There are two main types of Analytics Automation: data preparation and data analysis.

Data preparation automation makes data ready for analysis by cleaning and transforming it. Data analysis automation helps you answer specific questions by finding patterns and trends in your data.


Since its inception, the interplay of virtual and augmented reality with other emerging technological trends has been well documented. For example, virtual reality often appears on lists of future technology trends in which it’s believed to play an important role in the democratization of data analytics.

Augmented reality is a technology that overlays virtual objects onto the user’s perception of the real world. Augmented reality merges the physical and digital worlds to create new environments and visualizations where physical and digital objects co-exist and interact in real time.

Virtual reality, on the other hand, immerses the user in a completely artificial environment, which can be either similar to the real world, or completely fantastical, abstract and far removed from reality.

Data Security

Data security is a huge issue these days. As more people use the internet and more businesses adopt technology, the importance of data security has grown tremendously. With the growth of data security, data breaches have become a more prevalent problem.

Data breaches can be more than just a minor inconvenience, they can be detrimental to companies and individuals. These days, it’s important to know how to protect your business and yourself from a data breach. Hence it is important to note that there would be a lot of demands for professionals that can help secure systems against attacks.


As we all know, the competitive nature of businesses is fierce. But as industries progressively become more advanced by using data to inform every step they’re taking towards progress, companies who prioritize driving analytics into their organization will be ahead of the game when it comes to figuring out what audiences can potentially be hungry for first.

There is a lot of cool stuff happening in the world of data science and analytics, with new technologies and methodologies emerging all the time. We hope this blog post has given you a little insight into some of the exciting things to come in the world of big data. If you have any questions about data science or analytics trends, please feel free to reach out to us anytime. 

TopD Learning provides NLP Certification Training with Python and you can checkout the course and signup to gain the edge in Data Science.

Thanks for reading!

Leave a Comment

Your email address will not be published. Required fields are marked *

Learning Mode: Instructor LED Training

AWS Solution Architect Certification Training Course