February DataHour: Enhance Your Skills with Expert Sessions

Atrij Dixit Last Updated : 08 Feb, 2023
5 min read

Introduction

The February installment of the webinar series is now open! It’s a farewell time to your quest for finding the ideal data science learning platform, as Analytics Vidhya has arrived. Explore your ultimate data science destination where the emphasis is on supporting the community and fostering professional development. Attend expert-led DataHour sessions to boost your knowledge and abilities. Join the community of data scientists and sign up for a free and informative learning experience by viewing the upcoming schedule!

Who can Attend these DataHour Sessions?

  • Aspiring individuals 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

  1. DataHour: Understanding ChatGPT and its Use Cases
  2. DataHour: Google BigQuery – The Modern Cloud Data Warehouse
  3. DataHour: Basic Concepts of Object-Oriented Programming in Python
  4. DataHour: Build Apache Nifi using Serverless Cloud Infrastructure
  5. DataHour: Introduction to Docker – A Must-Use Data Engineering Platform
  6. Conclusion

DataHour: Understanding ChatGPT and its Use Cases

Making waves and leaving a mark in various online spaces, ChatGPT is the most advanced chatbot to date and can answer complex questions and carry out various kinds of advanced tasks. This revolutionary chatbot goes above and beyond what we may expect regarding generative AI.

📅Date: 8th February 2023
Time: 07:00 PM IST
🔗Registration Link: Register Now

In this DataHour, Mani will give an introduction and basic building blocks of Chat GPT. You’ll get to explore the different areas where Chat GPT can be leveraged and understand the current efforts and future developments in this space.

Datahour

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DataHour: Google BigQuery – The Modern Cloud Data Warehouse

Google’s Bigquery is a powerful and versatile analytical data warehouse solution that is designed for enterprise-level usage. It is offered by Google and is known for its ability to democratize data, making it accessible to a wider range of users.

📅Date: 9th February 2023
Time: 7:00 PM IST
🔗Registration Link: Register Now

In this DataHour, Saurav will share his insights on how Bigquery can handle large amounts of data, even petabytes, which is also one of its standout features. The unique architecture of Bigquery is what makes it particularly fast, allowing it to process large amounts of data quickly and efficiently, thus making it stand out from other competitors in the market.

DataHour: Google BigQuery - The Modern Cloud Data Warehouse

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DataHour: Basic Concepts of Object-Oriented Programming in Python

The Object-Oriented Programming (OOP) paradigm in Python utilizes objects and classes for programming purposes. Its purpose is to simulate real-world concepts such as inheritance, polymorphism, encapsulation, etc. The core idea of OOP is to combine data and the functions operating on that data into a single unit, making it inaccessible to other parts of the code.

📅Date: 10th February 2023
Time: 7:00 PM IST
🔗Registration Link: Register Now

In this DataHour, Partha will discuss all the principles in detail. He will also be discussing how by using classes and objects, developers can assign different tasks to different objects, thus allowing them to make changes to one object without affecting the other. Furthermore, OOP provides a way to better manage complexity by breaking down large programs into smaller, logical parts.

DataHour: Basic Concepts of Object-Oriented Programming in Python

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DataHour: Build Apache Nifi using Serverless Cloud Infrastructure

Apache NiFi is open-source software for automating and managing the data flow between systems. It is a powerful and reliable system for processing and distributing data. It provides a web-based User Interface to create, monitor, and control data flows. It has a highly configurable and modifiable data flow process to modify data at runtime.

📅Date: 10th February 2023
Time: 8:30 PM IST
🔗Registration Link: Register Now

In this DataHour, Vinod will explain how you can build this open-source application on your local, and he will also discuss the creation of this open source at the industry level using AWS serverless architecture design.

Build Apache Nifi using Serverless Cloud Infrastructure

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DataHour: Introduction to Docker – A Must-Use Data Engineering Platform

In this DataHour, Pramod will introduce you to the fundamentals of the Docker platform and how it plays an important part in today’s application development process. You will get to understand the Docker ecosystem and its different components. You will also get familiar with the benefits of using Docker from the perspective of application infrastructure and deployment. 

📅Date: 11th February 2023
Time: 1:00 PM IST
🔗Registration Link: Register Now

This session will also demonstrate hands-on coding explaining various docker commands and the step-by-step process of using dockers for application development.

DataHour: Introduction to Docker - A Must-Use Data Engineering Platform

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Conclusion

So it’s time to take the next step in your tech journey and register for DataHour sessions. Learn about the latest developments and connect with experts in the field. If you have questions, reach out to the speaker during the session or email us at [email protected]. Missed a session? Catch up with recordings on our YouTube channel and resources sent to your registered email. Don’t wait; 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].

Atrij--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

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