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Upcoming DataHour Sessions to Watch Out For

Introduction

Welcome to the world of DataHour sessions, a series of informative and interactive webinars designed to empower individuals looking to build a career in the data-tech industry. These sessions cover a wide range of topics, from people analytics and conversational intelligence to deep learning and time series forecasting. Aspiring individuals, students, freshers, current professionals seeking to transition into the data-tech domain, and data science professionals looking to enhance their career growth and development are all encouraged to attend.

Each session is led by an expert speaker who will provide an in-depth understanding of the topic and demonstrate practical use cases. Register for DataHour sessions today and discover a world of possibilities.

Who can Attend these DataHour Sessions?

  • Aspiring individuals who looking to launch a career in the data-tech industry, including students and freshers.
  • Current professionals seeking to transition into the data-tech domain.
  • Data science professionals seeking to enhance their career growth and development.

Table of Contents

DataHour: Transforming HR with People Analytics

During this DataHour session, Deepika will be diving into the world of people analytics, an analysis method that isn’t commonly talked about but is becoming increasingly important in the field of HR. With her extensive knowledge on the topic, she will be explaining what people analytics is and how it can be used across the entire employee lifecycle.

Not only that, but Deepika will also be showcasing a few projects where people analytics has been successfully implemented, giving attendees a firsthand look at how this analysis method can be put into practice.

📅Date: 19th March 2023

⌚Time: 01:00 PM IST

🔗Registration Link: Register Now

By the end of the session, attendees will have a better understanding of the benefits of people analytics and how it can be utilized in their own organizations. Don’t miss out on this opportunity to expand your knowledge and take your HR practices to the next level with the power of people analytics.

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DataHour: Conversational Intelligence & Interactive Bots

As technology continues to evolve, so too do the ways in which we interact with it. One such development is the rise of chatbots or conversational bots. These computer programs use artificial intelligence and natural language processing to understand and respond to questions, creating a simulation of human conversation.

In this upcoming DataHour, Rajeev will be sharing his expertise on the topic of conversational bots, specifically focusing on the use of NLP in their creation. He will be delving into the nuances of NLP and how it can be leveraged to build chatbots that can understand and interpret human language in a more accurate and effective manner.

📅Date: 19th March 2023

⌚Time: 03:00 PM IST

🔗Registration Link: Register Now

Furthermore, Rajeev will also be explaining how context retention is performed during active interactions with chatbots. This is an important aspect of chatbot design, as it allows for a more seamless and natural conversation between the user and the bot.

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DataHour: Transformers from Scratch

In this DataHour, Shiladitya will be discussing the fundamentals of Transformers. Transformers are the backbone powering many state-of-the-art models in the field of Natural Language Processing (NLP).

In this session, we will dive deep into the self-attention mechanism central to the Transformer architecture. We will also be coding the self-attention mechanism from scratch. Along with this, the attendees will get a broad understanding of the transformer model ecosystem (specifically Huggingface).

📅Date: 20th March 2023

⌚Time: 07:00 PM

🔗Registration Link: Register Now

DataHour

DataHour: Deep Learning for Time Series Forecasting

In the upcoming DataHour session, Kundan will delve into the topic of Time Series Forecasting using Deep Learning techniques. He will begin by explaining what Time Series Forecasting is and its significance in data analysis. He will further discuss different Deep Learning open-source packages available for Time Series Forecasting, their features, and their suitability for various use cases.

📅Date: 20th March 2023

⌚Time: 08:30 PM IST

🔗Registration Link: Register Now

Kundan will also provide a demo of different Deep Learning Models such as RNN, N-BEATS, Transformer, LSTM, and more, and demonstrate how they can be used for Time Series Forecasting. By the end of the session, attendees will have a solid understanding of how to perform TSA using Deep Learning and will be equipped with the knowledge and tools necessary to implement it in their own data analysis projects.

DataHour session on deep learning

DataHour: Best of Pandas & The Power of Simple Models

With the advancements in deep learning & Tensorflow, the speaker will explain the applicability and effectiveness of simple models and how the hype around deep learning is sometimes not just frivolous but dangerous. We all want to implement complex neural network architectures & get carried away by the paraphernalia around them. We tend to rush towards models and neural networks hence in this session he will demonstrate how sometimes complex problems could be solved with simple models.

📅Date: 21st March 2023

⌚Time: 7:00 PM IST

🔗Registration Link: Register Now

In this DataHour, Vasudev will discuss the best practices, powerful features/ tricks and an idiomatic way to use pandas for our daily practices.

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DataHour: Data Architect vs Data Engineer

The Data Architect and Data Engineer titles are closely related and, as such, frequently confused. The difference in both roles lies in their primary responsibilities.

Data Architects design the vision and blueprint of the organization’s data framework, while the Data Engineer is responsible for creating that vision.

📅Date: 21st March 2023

⌚Time: 8:30 PM IST

🔗Registration Link: Register Now

Data Architects provide technical expertise and guide data teams in bringing business requirements to life whereas Data Engineers ensure data is readily available, secure, and accessible to stakeholders (Data Scientists, Data Analysts) when they need it.

In this DataHour, Jai will be clearing all your confusion between the roles of Data Architect and Data Engineer.

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DataHour: Data Availability Through Data Lake in Large Organization

Data is a critical asset for any organization. Large organizations generate and collect vast amounts of data every day. However, making this data available and usable across the organization can be a challenge.

In this DataHour, explore with Vatsal how data lakes can help large organizations make their data available and accessible. He will also walk you through some of the real-life examples of the problems Google DSPA faced to procure logistics data and how it was catered.

📅Date: 22nd March 2023

⌚Time: 7:00 PM IST

🔗Registration Link: Register Now

DataHour on Data Availability

DataHour: Google Cloud Vertex AI Platform

Google Cloud offers a range of AI/ML solutions to help businesses leverage these technologies and make more informed decisions.

In this DataHour, explore with Mona the advantages of using Google Cloud for AI/ML, and delve into some of their new product offerings such as Vertex AI Vision, Document AI Solution, and Enterprise Translation Hub. She will also explain about BigQuery ML, a powerful tool that enables businesses to perform machine learning on the data stored in BigQuery.

📅Date: 22nd March 2023

⌚Time: 8:30 PM IST

🔗Registration Link: Register Now

Google cloud vertex AI platform

Conclusion

Don’t miss out on this opportunity to take your tech journey to the next level. Register for DataHour sessions today and discover a world of possibilities. Have questions? Reach out to the speaker during the session or email us at [email protected]. Missed a session? No problem, catch up with recordings on our YouTube channel and via our blog. What are you waiting for? Reserve your spot now!

Connect

If you’re having trouble enrolling or would like to conduct a session with us. Contact us at [email protected]

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