April’s Edition of the DataHour Series is Now Out!

Atrij Dixit Last Updated : 04 Apr, 2023
5 min read

Unlock the Secrets of Data Science and Launch Your Lucrative Career with DataHour – Explore the Upcoming Sessions Now!

DataHour is a program of informative and interesting webinars designed to assist people in starting lucrative careers in the data-tech industry. The subjects covered in these sessions range widely, from Conversational Intelligence and People Analytics to Deep Learning, Data Analytics and Customer Segmentation. This post on the blog introduces a series of upcoming DataHour sessions. Each session will explore a certain subject on data science and its applications in various industries.

Data Analytics | Logistic Regression | Decision Tree | Customer Segmentation

Each session’s details, including the time, date, registration link, and the key subjects it will cover, are briefly summarised in the post. These subjects include understanding Logistic Regression, Building an End-to-End Solution for Big Mart Sales Prediction, Deep Dive into Kubernetes and Concepts of Containerization, and The Power of Customer Segmentation. The article also stresses the value of attending these sessions to understand better the most recent developments in data science.

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 Logistic Regression and Decision Tree Analysis

Logistic Regression is a supervised machine-learning technique. A predetermined set of independent factors is used to predict the categorical dependent variable. While decision trees can be used to address both classification and regression issues, they are also employed in supervised types of machine learning.

Sanchita, an experienced Data Analyst, will provide a comprehensive overview of logistic regression. Logistic Regression is a statistical technique used to model the relationship between a binary response variable and one or more predictor variables. During this DataHour Session, she will also guide the audience through a step-by-step decision tree analysis, a powerful tool for classification and prediction tasks. By the end of the session, attendees will have a solid understanding of these fundamental techniques and how they can be applied in real-world scenarios.

📅Date: 5th April 2023

⌚Time: 08:30 PM IST

🔗Registration Link: Register Now

Understanding Logistic Regression and Decision Tree Analysis with Sanchita Malhotra | DataHour Session

DataHour: Building an End-to-End Solution for Big Mart Sales Prediction

Bharat Sharma, a Data Scientist, will cover the whole data science pipeline will be covered throughout the webinar. Beginning with data preparation, which entails cleaning, encoding, and scaling data for analysis. The next step will be EDA, where descriptive statistics will be used to determine how the various data aspects relate to one another. The next step is feature engineering, where we will choose the features that are most crucial to the development of our model.

📅Date: 6th April 2023

⌚Time: 07:00 PM IST

🔗Registration Link: Register Now

Following feature selection, we will go to model selection, where we will pick the ideal algorithm to implement in our model. We will also discuss hyperparameter tuning, which involves adjusting the model’s parameters using methods like Grid Search, Randomized Search, and HyperOpt. Finally, we’ll review model deployment utilizing the PostMan API and the FLASK REST API.

Learn about Building an End-to-End Solution for Big Mart Sales Prediction in DataHour Session with Bharat Sharma

DataHour: Deep Dive into Kubernetes and Concepts of Containerization

Jatin Rajpal, an expert in the field of Data Science, will go through the fundamentals of containerization and the tools and procedures (Docker/Image Registry) required to containerize the application. He will also explain Kubernetes, an open-source container orchestration platform that is necessary for running your containerized application at scale.

📅Date: 7th April 2023

⌚Time: 07:00 PM IST

🔗Registration Link: Register Now

Additionally, he will show you how to organize an application into logical components for simple management and discovery.  Let us get a hands-on demonstration of a containerized application with Jatin Rajpal.

Deep Dive into Kubernetes and Concepts of Containerization with Jatin Rajpal

DataHour: Unlocking Business Growth- The Power of Customer Segmentation

A key tactic used by firms to efficiently identify and target new customers is customer segmentation. Businesses can more effectively appeal to the needs and interests of each group by segmenting the client base into smaller, more focused groups based on traits like demographics, behavior, and preferences.

📅Date: 8th April 2023

⌚Time: 01:00 PM IST

🔗Registration Link: Register Now

As a result, firms can concentrate their efforts on the markets that are most likely to respond favorably to their messaging. This can result in more efficient use of marketing funds and advertising. Discover with Anshuman Kumar how customer segmentation may help businesses better understand and interact with their customers. You will learn how this can result in more successful marketing and business strategies in this DataHour.

Unlock Business Growth - The Power of Customer Segmentation with Anshuman Kumar working in the field of Data Science

DataHour: Build Your Career in Data Analytics

A genuine mentor can speed up a person’s journey and assist them in reaching their objective more quickly with his or her appropriate guidance. Only a handful of individuals today are knowledgeable on how to enter the popular career field of data analytics and develop a successful career there.

📅Date: 10th April 2023

⌚Time: 07:00 PM IST

🔗Registration Link: Register Now

Jaspreet’s presentation in this DataHour session is an excellent opportunity to gain valuable insights into the steps you can take to become a seasoned analytics expert. With her extensive experience in the field, Jaspreet will share practical tips and strategies for starting your journey toward a successful career in data analytics.

During the session, attendees will learn about the essential skills and knowledge required to excel as a data analyst. This session will include data visualization, statistical analysis, machine learning, and data management skills. Jaspreet will also provide valuable guidance on how to build a strong portfolio and network with industry professionals. Additionally, he will also tell us how we can stay up-to-date with the latest trends and developments in the field.

Build Your Career in Data Analytics with Jaspreet Singh at DataHour Session | customer segmentation

Enroll Now and Explore Limitless Possibilities!

Don’t miss this chance to advance your technological path and learn about Data Analytics. Discover a world of possibilities by signing up for DataHour classes right away. Have inquiries? During the session, you can contact the speaker, or you can send us an email at [email protected]. Do you have any missed sessions? No worries; you may catch up with recordings by visiting our blog and YouTube channel. Why are you holding out? Book your space right away!

Get in Touch with DataHour – Your Partner in Learning and Growth!

If you are experiencing any difficulties with the enrollment process for a DataHour session or would like to explore the possibility of conducting a session with us, please don’t hesitate to get in touch with us. Our team at DataHour is always happy to help and provide support in any way we can.

You can reach out to us at our dedicated email address, [email protected].

Atrij--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

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