Introduction
Welcome to a series of DataHour sessions designed for individuals who want to launch or enhance their careers in the data-tech industry. These sessions cater to aspiring individuals, current professionals seeking to transition into the data-tech domain, and data science professionals looking to enhance their career growth and development. In this series, we explore various topics related to data tech, including machine learning, time-series analysis, caching, data visualization, and more. Each session is led by industry experts who provide valuable insights into the practical applications of these topics. Join us for our upcoming sessions to learn from the best in the field and thoroughly understand the latest trends and tools in data tech.
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: Constructing Machine Learning Pipelines using Scikit-learn
In this DataHour, explore with Anuj the various ways to construct the machine learning pipeline using scikit-learn. He will walk you through the different use cases where you can enable an end-to-end machine learning pipeline that involves data cleaning, preprocessing and modelling steps. Moreover, the way to chain all steps of the workflow together for a more streamlined procedure for code construction will be explained in detail.
📅Date: 15th March 2023
⌚Time: 08:30 PM IST
🔗Registration Link: Register Now
DataHour: Forecasting & Time-series Analysis
Are you looking to improve your organization’s planning, budgeting, risk management, supply chain management, or marketing efforts? Time series analysis can help. Join us for our upcoming webinar, where we’ll explore the benefits of time series analysis and how it can help organizations optimize their operations and drive growth.
📅Date: 16th March 2023
⌚Time: 07:00 PM IST
🔗Registration Link: Register Now
This DataHour, Varun will help us cover the basics of time series analysis, including popular R/Python modules like ARIMA, Exponential Smoothing, and FBprophet, as well as regression techniques. Additionally, we’ll dive into specific use cases and real-world examples of how time series analysis has helped organizations improve their decision-making and drive success.
DataHour: How Companies Use SQL to Extract Meaningful Insights Through Data?
During this DataHour session, Raghav will provide a detailed explanation of several topics. Firstly, he will give a quick introduction to SQL. He will then cover the setup of a database and explain SQL joins, which are commonly used in database queries.
📅Date: 16th March 2023
⌚Time: 08:30 PM IST
🔗Registration Link: Register Now
Raghav will also discuss aggregate functions and window functions, which are used for data analysis and manipulation. Finally, he will present a real-world case scenario to illustrate how these concepts are applied in practice. Attendees will gain a thorough understanding of SQL and its various applications through this session.
DataHour: Caching in Data Science
Caching is an essential concept in computer science that involves storing frequently used data in a temporary location to reduce the load on the primary storage device. Caching can significantly improve application performance and reduce latency.
📅Date: 17th March 2023
⌚Time: 07:00 PM IST
🔗Registration Link: Register Now
However, understanding when to use caching and which type of caching to use can be a challenging task. In this DataHour, we will discuss the basics of caching, the different types of caching, and when to use what, with a demonstration of caching on Python Flask Application.
DataHour: Dataflow on Google Cloud
Cloud Dataflow is a Google Cloud product that uses Apache Beam for unified batch or streaming data pipelines using Python or Java. Dataflow has many applicable use cases and many helpful features. In this DataHour, Yash will briefly introduce Apache Beam and the basics of the Apache Beam framework. Register for this enriching session to learn how useful and easy it is to develop unified data pipelines using Apache Beam and scale them on Google Cloud.
📅Date: 17th March 2023
⌚Time: 8:30 PM IST
🔗Registration Link: Register Now
He will discuss the basic batch pipeline and perform some hands-on around the same, enabling you to start exploring more and understand the product in depth and detail.
DataHour: Data Visualization in 3D with Unity 3D
Unity 3D is a powerful game engine that can also be used for creating 3D Data Visualizations. Also, can import our data as a CSV, JSON or another compatible file format, whereas the Unity Asset Store or third-party plugins make this process easier. We can add interactivity to the visualization by allowing the user to interact with the 3D objects, change the camera view, or display additional information.
📅Date: 18th March 2023
⌚Time: 1:00 PM IST
🔗Registration Link: Register Now
Once the visualization is complete, one can export it as a standalone application or integrate it into a larger project. In this DataHour, Munmun will demonstrate how you can start your journey of 3D Data Visualization in Unity.
DataHour: Machine Learning on Live Streaming Data for AIOps
We can foresee that Internet of Things applications will raise the scale of data to an unprecedented level. People and devices (from home coffee machines to cars, buses, railway stations, and airports) are all loosely connected. Trillions of such connected components will generate a huge data ocean of live-streaming data, and valuable information must be discovered from the data to help improve our quality of life and make our world a better place.
📅Date: 18th March 2023
⌚Time: 3:00 PM IST
🔗Registration Link: Register Now
In this DataHour, Dr. Ruby will discuss ML algorithms that could be applied to such large streams of real-time data, the opportunities to generate insights, and the practical challenges in applying ML to these live-streaming data.
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. Still have questions in mind? Feel free to reach out to the speaker during the session or email us at [email protected]. Also, do not forget to catch up with recordings on our YouTube channel and resources sent to your registered email after the sessions. So 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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