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Published in

Analytics Vidhya

4 min readMar 18, 2023

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.

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.

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).

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DataHour: Deep Learning for Time Series Forecasting

In this 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.

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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.

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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. 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.

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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.