Don’t Miss Out: Last Few and Exciting DataHour of March

Atrij Dixit 25 Mar, 2023 • 5 min read

Introduction

With the world of data science constantly evolving, it is important to stay up-to-date with the latest trends and techniques for aspiring and established professionals alike. That’s why we at Analytics Vidhya host a series of informative and interactive webinars designed to help you enhance your skills and expand your knowledge of data tech known as – DataHour.

Whether you’re just starting out in the industry or seeking to transition into a new role, these sessions will provide valuable insights and hands-on experience in various key areas. From getting started with Python to exploring the power of Apache Airflow, these webinars are an excellent opportunity to learn from seasoned experts and connect with fellow data science enthusiasts. So why wait? Register now and take the first step toward accelerating your career 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: Getting Started with Python

Python is a programming language that has become very popular in Data Science. It is also used for automating tasks and backend development.

In this DataHour, Rose will help you learn the basics of Python needed to start your programming journey and write your own Python functions. Through hands-on coding, you’ll walk away with python essentials, data structures, and some coding exercises.

📅Date: 25th March 2023

⌚Time: 01:00 PM IST

🔗Registration Link: Register Now

This webinar would be a precursor to learning Numpy and Pandas in upcoming sessions. Otherwise, if you’re looking to be a programmer or are a non-technical person using Excel, this might also be useful for you.

"DataHour: Getting Started with Python

DataHour: Implementing Gradient Descent in Python

Gradient Descent is a fundamental optimization algorithm commonly used to train machine learning models and neural networks. Gradient descent is a first-order iterative optimization algorithm for finding a local minimum of a differentiable function.

📅Date: 25th March 2023

⌚Time: 03:00 PM IST

🔗Registration Link: Register Now

In this DataHour, AtmaKumar Rai will cover how the Gradient Descent algorithm works and will further demonstrate how to create a python file and implement Gradient Descent on real-world data.

"DataHour: Implementing Gradient Descent in Python

DataHour: Comparative Analysis in Qlik Sense

In most real-time use cases, users can apply a set of filters/conditions for a set of data but cannot make side-by-side comparisons straightforwardly. However, in QlikSense, we can do this with just a few steps, and it is very powerful once the app is built correctly. If you are a beginner in QlikSense or haven’t explored the alternate state feature yet, join this session to explore alternate states in QlikSense.

📅Date: 26th March 2023

⌚Time: 01:00 PM IST

🔗Registration Link: Register Now

In this DataHour, Hari will explain the alternate state feature in QlikSense along with basic analytics skills to perform comparative analysis.

"DataHour: Comparative Analysis in Qlik Sense

DataHour: Apache Airflow – An Open Source Workflow Manager

Apache Airflow is an open-source platform designed for managing and orchestrating workflows. These workflows can include a variety of tasks, such as event-based and batch ETL (extract, transform, load) pipelines. With Airflow, users can define, schedule, and monitor workflows through a web interface or command line interface.

One of the key features of Apache Airflow is its ability to handle complex dependencies and workflows. Users can define tasks and dependencies using Python code, and Airflow will schedule and execute these tasks in the correct order. Additionally, Airflow provides a rich set of operators for common tasks such as transferring data between systems, running SQL queries, and executing Python functions.

📅Date: 27th March 2023

⌚Time: 08:30 PM IST

🔗Registration Link: Register Now

Airflow also provides a number of other features to make workflow management easier, such as support for monitoring and alerting, extensibility through plugins, and integrations with other tools and platforms.

"

DataHour: Generating Labeled Data through Weak Supervision

In many industrial settings, we may end up not having labelled data. Supervised Machine Learning requires labelled data, but it is not easy to obtain labelled data, and creating labelled data requires time and resources. Weak Supervision is an approach to machine learning in which high-level and often noisier sources of supervision are used to create much larger training sets much more quickly than could otherwise be produced by manual supervision (i.e. labelling examples manually, one by one).

📅Date: 28th March 2023

⌚Time: 07:00 PM IST

🔗Registration Link: Register Now

In this DataHour, Bharath will demonstrate step-by-step how to generate labelled data and classify objectionable song lyrics through Natural Language Processing techniques.

"

DataHour: Introduction to Multi-Modal Machine Learning

A Multi-Modal Machine Learning Model would be trained on both the image of the dog and a textual description of the dog, such as “a fluffy golden retriever running in a park.” The model would then learn to associate visual features of the dog, such as its shape and colour, with specific words and phrases in the textual description.

In this Datahour, Prabakaran will teach you the fundamentals of Multimodal Machine Learning with a hands-on example.

📅Date: 28th March 2023

⌚Time: 8:30 PM IST

🔗Registration Link: Register Now

An example of multi-modal machine learning is Vision+Language, where the model is simultaneously trained on visual and textual data. This can be useful for tasks such as image captioning, where the model needs to understand the content of an image and generate a descriptive caption.

 Introduction to Multi-Modal Machine Learning

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. 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 via our blog. 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]

Atrij Dixit 25 Mar 2023

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