Join the Data Science Revolution with DataHour Sessions

Atrij Dixit Last Updated : 02 Feb, 2023
4 min read

Introduction

Say Goodbye to Your Search for the Perfect Data Science Learning Platform – Analytics Vidhya is Here!
Discover Analytics Vidhya, Your Ultimate Data Science Destination! Our focus is on empowering our community and providing opportunities for professional growth. DataHour sessions are Expert-Led workshops designed to enhance your knowledge and skills. Don’t miss out on this chance to join the elite community of Data Scientists. Check out the upcoming DataHour schedule below and register today for a free and rewarding learning experience!

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.

DataHour: Exploring the Fundamentals of DeepMatch?

The quintessential pre-task of most data-driven analysis is “stitching” multiple data sources together. Traditionally, an analyst’s language achieves this through “joins.” They “stitch” datasets together based on commonality in terms of shared entries within common columns across datasets.

📅 Date: 2nd February 2023
Time: 7:00 PM IST
🔗 Registration Link: Register Now

In this DataHour, Devavrat will introduce DeepMatch, an AI-powered matching or joining of data with easy-to-interact humans in the loop component. He will also demonstrate how it has been used for SKU mapping in Retail and Supply Chain for demand planning, transaction reconciliation in Banking and Financial Services, and Auditing in Insurance.

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DataHour: Anomaly Detection in Time Series Data

From manufacturing processes over finance applications to healthcare monitoring, detecting anomalies is an important task in every industry. There has been a lot of research on the automatic detection of anomalous patterns in time series, as they are large and exhibit complex patterns. These techniques help to identify the varying consumer behavior patterns, detect device malfunctions, sensor data, monitor resource usage, video surveillance, health monitoring, etc. 

📅 Date: 2nd February 2023
Time: 8:30 PM IST
🔗 Registration Link: Register Now

In this DataHour, Parika will discuss the techniques used to identify both Point and Subsequence Anomalies in time series data. She will also cover the statistical and the predictive approaches, including CART models, ARIMA (Facebook Prophet), unsupervised Clustering, and many more.

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DataHour: Building Python Dashboard using Plotly Dash

In this DataHour, Madhusudhan will demonstrate building a live updating dashboard using Plotly. He will cover using Plotly dash with Python to set up dashboard layout, create data visualizations, add interactivity, customize appearance, and use real-world datasets. The session will also cover adding buttons, interactive graphs, data tables, a grid layout, a navigation bar, and cards to the dashboard.

📅 Date: 3rd February 2023
Time: 7:00 PM IST
🔗 Registration Link: Register Now

Madhusudhan Anand is the Co-Founder, Data Scientist, and CTO at Ambee. He is a Passionate problem-solver and customer-obsessed product manager. With about 17+ years of experience in product companies, over the last 5.5 years, he has worked with startups and has significant experience and interest in scaling products, technology, and operations. He builds products from conceptualization to prototyping and all the way to making them revenue-generating while ensuring the product, culture & team scales. He has won 5 national awards in the startup ecosystem for building products on IoT, ML (and AI), Internet (digital), and Mobile. 

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DataHour Session: Natural Language Processing with BERT and GPT-3

Natural language processing (NLP) is an area of artificial intelligence that primarily focuses on understanding and processing human language. Recently, two powerful language models, BERT and GPT-3 have been developed to generate human-like texts, allowing them to engage in natural-sounding conversations.

📅 Date: 3rd February 2023
Time: 8:30 PM IST
🔗 Registration Link: Register Now

In this DataHour, Avinash will explain the use of BERT and GPT-3 in natural language processing, from simple tasks like answering a question to more advanced tasks like generating original texts. He will also discuss how these models can be used for tasks like sentiment analysis, text summarization, and many more. Avinash will also focus on these models’ potential future applications.

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DataHour: An Introduction to Big Data Processing using Apache Spark

Apache Spark is an open-source and distributed processing system for big data workloads. It provides development APIs in multiple programming languages like Java, Scala, Python, and R and supports code reuse across multiple workloads.

📅 Date: 4th February 2023
Time: 1:00 PM IST
🔗 Registration Link: Register Now 

In this DataHour, Akshay will provide an overview of Apache Spark and its capabilities as a distributed computing system. Additionally, we will delve into internal data processing using Spark and explore techniques for performance-tuning Spark jobs. Also, this session aims to cover the concepts of parallel computing and how they relate to working with big data in Spark.

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Conclusion

Don’t Delay! Reserve Your Spot Today! Register for the DataHour sessions that catch your interest, and join us for an hour of learning about the latest tech topics. If you have any questions about the session or its content, feel free to reach out to us at [email protected] or ask the speaker during the session. And if you happen to miss any part, you can catch up by watching the recordings on our YouTube channel or going through the resources shared on your registered mail Ids.

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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