DataHour Sessions Scheduled for the Remainder of the Week

DataHour Sessions Scheduled for the Remainder of the Week

Prepare for an immersive journey into the dynamic realm of data analytics with the upcoming DataHour webinars. These educational sessions are meticulously designed to enlighten and engage aspiring professionals and seasoned experts alike in the data-tech industry. The series offers a comprehensive exploration of biotech, MNCs, demand planning, sports data analysis, and deep learning — all tailored to diverse backgrounds and skill levels.

The upcoming DataHour sessions encompass the following topics:

1. AI/ML in Drug Discovery
2. Data Science in MNCs
3. Personalizing Demand Planning Using Scenario Analysis
4. FIFA World Cup Match Analysis Using Python
5. Transformers: A Deep Dive

Aspiring beginners, including students and freshers, as well as current professionals seeking a transition into the data-tech domain, will find valuable insights in these sessions. Moreover, established data science professionals can leverage these sessions to boost their career growth and development.

AI/ML in Drug Discovery

Join Abhishek as he offers an in-depth overview of AI and ML in drug discovery and drug screening. Key aspects of this session will focus on methods for data acquisition and model creation, the current state of the drug industry, and the future of drug discovery with respect to AI/ML. Attendees will learn the ways AI and ML can optimize drug discovery and expedite drug screening.

Data Science in MNCs

Avanish will address practical questions often overlooked in data science projects, including data prioritization, fostering a successful data science team, and selecting the most suitable data sources. Participants will gain insights to effectively manage data science projects and ensure optimal outcomes.

Personalizing Demand Planning Using Scenario Analysis

Learn how recent advancements in technology have made it possible to evaluate feasible tradeoffs between multiple objectives in demand planning using historical data and scenario analysis. Devavrat will cover the importance of scenario analysis, the role of forecast accuracy, and end-to-end tools for streamlining demand planning.

FIFA World Cup Match Analysis Using Python

Football enthusiasts can join Ayushi for an immersive exploration of FIFA data analysis. The session will delve into data collection, data cleaning, data preprocessing, and data visualization—essential aspects of conducting successful exploratory data analysis (EDA).

Deep Dive on Transformers

Arjun will walk attendees through the fundamentals of Transformer architecture, including self-attention mechanisms and feed-forward networks. The session will also delve into the advantages of the transformer architecture, its ability to handle large amounts of data, and its parallel processing capabilities.

For more details and to register for these sessions, visit our website. Have questions? Contact the speakers or email us at [email protected]. Trouble enrolling or seeking to conduct a session? Contact us at [email protected]. Catch up on missed sessions through our YouTube channel or blog. Don't miss this opportunity to take your tech journey to the next level. Register for DataHour sessions today!

[1] DataHour YouTube Channel[2] Mohanraj Vengadachalam - YouTube

1. The upcoming DataHour sessions delve into various aspects of AI and ML in drug discovery, offering valuable insights for aspiring beginners, professionals transitioning into the data-tech domain, and established data science professionals alike.
2. Attendees of the AI/ML in Drug Discovery session will learn about data acquisition, model creation, the drug industry's current state, and the future of drug discovery with regard to AI and ML, with the aim of optimizing drug discovery and expediting drug screening.
3. In the Data Science in MNCs session, Avanish will speak about practical matters often overlooked in data science projects, such as data prioritization, building successful data science teams, and selecting the best data sources, to help participants manage data science projects effectively.
4. The Personalizing Demand Planning Using Scenario Analysis session will cover recent advancements in technology that enable feasible tradeoffs between multiple objectives in demand planning using historical data and scenario analysis, with Devavrat discussing the importance of scenario analysis, the role of forecast accuracy, and end-to-end tools for streamlining demand planning.
5. Arjun will present a deep dive on Transformer architecture, covering self-attention mechanisms, feed-forward networks, the advantages of the transformer architecture, its ability to handle large amounts of data, and its parallel processing capabilities, in the Transformers: A Deep Dive session, catering to those who wish to learn about this technology in detail.

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