The data science field is commanding three times the salary of the average corporate employee of another field which basically means that tech companies still are willing to pay a premium for people who have a data science kind of skill set and it just does not happen by accident or just because people have college degrees. 

Companies only pay you this kind of salary when they think that the skill set you have is actually very useful and beneficial for them. So learning at the Best Data Science Institute in Delhi can be very fruitful. The opportunity within this field is growing at a very alarming rate. With the volume and complexity of data exploding in daily usage by people, traditional analytics methods are no longer enough. Augmented Analytics and Natural Language Processing (NLP) are two top-notch technologies that are shifting the scope of Data Science.

Trend-Leaders: Augmented Analytics and NLP

Augmented Analytics applies AI codes, machine learning, and automation to break and catch up on data analysis. It reduces the weight of workload on technical experts by sorting, managing, and interpreting data, helping people make predictions with less coding. 

Instead of finding data in spreadsheets, users can quickly enter a question like: “What were our top-performing services in the market?”And within a few minutes, an augmented analytics platform can make graphs, future insights, and even a summary of data in a document.

• Key features in it are augmented data management, information visualisations and insights, data analytics powered by AI, and Natural-language querying for non-coding users.

• Data science tools like Tableau, Power BI, and Excel are already there that integrate and augment features, allowing people to make big decisions with speed and accuracy.

On the other hand, Natural Language Processing (NLP) is an AI branch that enables machines to understand, interpret, and respond to human language. It powers voice assistants like Siri, chatbots, search engines, and conversational analytics tools.

Also, NLP helps in analysing various types of unstructured data that can ideate people reviews, social media comments, or news articles, and turning them into actionable insights.

For example:

 An expert can use NLP to detect customer reaction from online reviews, identify trending topics, or even summarise a thesis within seconds..

Core Applications of NLP in Data Science:

• Views analysis for businesses and brands

• Helping Chatbots and voice assistants

• Text classification and summarisation

• Speech recognition and translation

• Real-time data querying using human language

Conclusion

Lastly,  these technologies are no joke but in fact augmented analytics enhances how we gather, interpret, and visualize data through automation and artificial intelligence, while NLP links the gap between human language and machine understanding. Together, they’re influencing how we interact with data generated analytics smarter, faster, and more human-like.

For students and experts in Data Science, understanding these emerging tools in the Best data science course in gurgaon isn’t just beneficial. It is vital for staying competitive in a rapidly evolving tech landscape.