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    Co-created with IIT Roorkee
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6 Trends Shaping the Future of Data Science

Introduction

The data science industry is rapidly evolving. The field is changing from the types of data collected to the tools and techniques used to analyze it. More and more companies are using these insights as part of their business strategies. As the world becomes more digitally adept, data scientists are in high demand to help businesses make sense of the information they collect.

At Imarticus, we offer data science courses as we are always on the lookout for what's next in this rapidly changing future of data science

Here are six predictions for trends shaping the future of data science:

1. Data Collection Becomes More Ubiquitous

As companies become more comfortable with data to improve their business performance, they will likely collect more data about their customers and employees. In particular, we expect to see an increase in the amount of location-based information that companies collect about their customers' movements (and even their emotions).

We are still in the early stages of understanding how to use data to make better decisions, but we are beginning to understand which best practices are most effective. For example, there's a growing consensus that it's essential to train your models on as much data as possible—not just large datasets but a variety of datasets representing different data types and problem areas.

2. Data Scientists Become More Valuable

As companies start collecting more data types, they'll need to hire people who can help them make sense of it all. They will be willing to pay top dollar for those people because they know how important it is to access insights from every corner of their organization. There will also be an increased demand for people training in applied statistics or machine learning to apply those skills broadly across all areas. 

Data democratization: Data scientists are not just going to be working in corporations anymore—anyone with an internet connection can harness the power of data science.

3. The Internet of Things 

IoT is already changing/defining how we interact with our environment, and it will continue to change how we interact with data. As our physical world becomes increasingly connected, we can analyze our surroundings better and understand what they mean.

4. Machine learning

ML is becoming more accessible than ever before. Thanks to cloud computing and powerful open-source tools like TensorFlow and Keras, even non-coders can create powerful models without needing a Ph.D. in mathematics or computer science.

Additionally, there is a growing awareness regarding the importance of machine learning algorithms that can handle complex tasks with no human-defined solution. It means creating systems that can learn from their users' behavior over time and use this information to solve new problems. It is similar to how Google Search knows what you want when you type in "tacos" or "puppies" while providing recommendations based on your previous searches.

5. Deep learning

Deep learning helps us understand language at a deeper level than ever before. By analyzing a text at various levels—from individual words up to sentences, paragraphs, and entire documents—we can extract information that would otherwise be impossible to find using traditional keyword search or keyword matching algorithms.

6. The growth of Big Data

As more people start using personal data to make discoveries, we're going to see a lot more information about human behavior emerging—and as it becomes easier for people everywhere to collect this information and share it with others, we'll see even more discoveries made through crowdsourcing efforts than ever before.

The future of data science will also be shaped by developments in automation technology, including AI assistants like Siri or Alexa. These technologies allow us to interact with computers in new ways. For example, they can understand natural language input like commands or questions and provide answers quickly without requiring us to learn programming languages.

Conclusion

The future of data science is an exciting one. We've already seen some incredible advancements and more to come. Now is the best time ever to enrol in data science courses and build a career for a digital future.

Imarticus learning offers a Certificate Program in Data Science and Machine Learning to guide and train you with the best resources to prepare you for this data journey.

Get in touch with us and find a detailed analysis of how this program can potentially revamp your career. Contact us through chat support or drive to our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, and Gurgaon for more information.

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About Imarticus
Imarticus Learning is India’s leading professional education institute that offers training in Financial Services, Data Analytics & Technology. We’ve successfully transformed careers of over 35,000+ individuals globally through our Certification, Prodegree, and Post Graduate programs offered in association with leading and renowned global organisations in the Financial Services, Data Analytics & Technology domain.
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