Join DataHour Sessions With Industry Experts
Introduction
Are you curious about the latest advancements in the data tech industry? Perhaps you’re hoping to advance your career or transition into this field. In that case, we invite you to check out DataHour, a series of webinars led by experts in the field. Through these webinars, you’ll gain hands-on experience, deepen your understanding of the field, and connect with industry leaders.
In this blog post, we’ll introduce you to a few exciting webinars that cover a range of topics related to data science and machine learning. Whether you’re interested in understanding stable diffusion and prompt engineering, learning about Google Vision API, or exploring how to deal with imbalanced datasets, there is a webinar for you. You’ll also have the opportunity to dive deep into airflow components, visualize geospatial data using Python and Geopandas, and perform data wrangling using geospatial data in Python.
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: Understanding Stable Diffusion & Prompt Engineering
In this DataHour, Akshit will explain stable diffusion and its main components. He will also demonstrate how you can create some artwork through it. Further, he will talk about the best practices for writing prompts and how the model parameters control the art generation process. In addition to plain art generation, he will also cover other applications of stable diffusion in image editing like inpainting, upscaling, and more!
đź“…Date: 17th February 2023
⌚Time: 07:00 PM IST
đź”—Registration Link: Register Now
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DataHour: Making Data Pipelines Easy with Dataproc and Composer
In this DataHour, Julian will walk you through best practices for Data engineering teams and discuss why and how to use serverless Spark options. We will also understand how to automate processes and simplify life. We do this using Airflow and go in-depth with the operators used for different Dataproc services. Composer is a managed Airflow service provided by Google Cloud, and its ease of setup will be clearly shown in a demo during this webinar.
đź“…Date: 17th February 2023
⌚Time: 8:30 PM IST
đź”—Registration Link: Register Now
Any aspiring Data or ML engineer stands to benefit from this webinar in understanding best practices while running a Data pipeline in Cloud.
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DataHour: An Introduction to Google Vision API
Google Vision API is a feature provided by Google. It allows developers to easily integrate vision detection features within the application, including image labeling, face and landmark detection, object detection, optical character recognition, and tagging of explicit content.
đź“…Date: 18th February 2023
⌚Time: 1:00 PM IST
đź”—Registration Link: Register Now
In this DataHour, Ravi will introduce you to Google Vision API. He will be covering the fundamentals of Google Vision API and its features from the basics.
DataHour: Deep Dive into Airflow Components
Data Engineering, as we all know, is the trending domain of the current world. With the continuous increase in data, it becomes necessary to ensure that raw data is utilized to derive meaningful insights.
đź“…Date: 18th February 2023
⌚Time: 3:00 PM IST
đź”—Registration Link: Register Now
In this DataHour, Hardik will explain all the components essential for building any DAG over airflow. He will also briefly cover the core components of airflow along with the fundamentals of Apache Airflow.
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DataHour: Data Wrangling Using Geospatial Data in Python
In this DataHour session, Nithin will delve into the intricacies of geospatial data. He will start by explaining the definition and scope of geospatial data, then discuss the challenges of presenting a 3D view of the earth on a 2D plane. The session will also cover various satellite formats and ways to access them. Nithin will highlight the available Python libraries for playing with geospatial data, with a focus on Geopandas as the go-to library for handling geospatial data.
đź“…Date: 19th February 2023
⌚Time: 1:00 PM IST
đź”—Registration Link: Register Now
Finally, the session will touch upon the basics of data plotting and how it is relevant to geospatial data analysis. Attendees can expect to come away with a clear understanding of geospatial data and the tools available for analyzing and visualizing it.
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DataHour: Visualising Geospatial Data in Python Using Geopandas
In this DataHour, Pareekshith will explain different ways to visualize geospatial data in python using Geopandas, along with this various types of geospatial plots like Choropleth Maps, Point Plots, Bubble Plots, Cartograms, and KDE plots (geospatial) will be discussed. In this session, he will also introduce the basics of interactive plotting in Geopandas.
đź“…Date: 19th February 2023
⌚Time: 3:00 PM IST
đź”—Registration Link: Register Now
REGISTER NOW
Conclusion
These webinars are designed to make complex topics easy to understand and provide hands-on experience that can help you grow in your career. Whether you’re a seasoned professional or just starting out, you’re sure to find valuable insights and tips to help you succeed. So, 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 resources sent to your registered email. 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].
