Introduction
Analytics Vidhya DataHour is designed to provide valuable insights and knowledge to individuals looking to build a career in the data-tech industry. These sessions cover a wide range of topics, from the fields of artificial intelligence, and machine learning, and various topics related to data science. This blog post introduces a series of upcoming DataHour sessions, each of which will focus on a specific topic related to data science and its applications in various industries.
In this blog, we will cover a variety of topics that are essential for anyone starting out in the field of data science. We will begin with a beginner’s guide to natural language processing, a powerful tool used for text analysis and language modelling. We will then move on to web scraping using Python libraries, a crucial skill for extracting data from the web. Furthermore, we will provide an overview of named entity recognition (NER), a technique used for identifying and classifying named entities in text. Whether you’re just getting started or looking to expand your knowledge, this blog is the perfect place to learn and grow in the exciting field of data science.
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.
Table of Contents
DataHour: A Beginner’s Guide to Natural Language Processing
The Natural Language Toolkit (NLTK) is a widely-used library for Natural Language Processing (NLP) in Python. It provides a range of tools for preprocessing text data for analysis, including machine learning models. One key function of NLTK is to transform text into numerical format, which can then be used by the model. NLTK has many features that make it useful for NLP tasks, such as tokenization, stemming, lemmatization, and part-of-speech (POS) tagging. These tools are crucial for text analysis and can help improve the accuracy of NLP models.
In this Datahour, Akash will explain the various features, libraries and methodologies of conversions used in NLP from basics.
📅Date: 11th April 2023
⌚Time: 07:00 PM IST
🔗Registration Link: Register Now
DataHour: Web Scraping Using Python Libraries
If you’re looking to learn more about web scraping, you’ve come to the right place! In this session, we’ll be sharing our technical knowledge on how to fetch data from both dynamic and static live websites, and how to use that extracted information for analysis.
Web scraping, also known as data web scraping, involves automatically extracting information from websites. This method is widely utilized for research, data analysis, and automation tasks. By utilizing web scraping, one can gather information from diverse sources and utilize it to acquire significant insights, innovate new products or services, and make informed decisions for their business.
📅Date: 12th April 2023
⌚Time: 07:00 PM IST
🔗Registration Link: Register Now
Overall, web scraping is a powerful technique for collecting and analyzing data from the web. With the right tools and techniques, you can extract valuable insights and gain a competitive advantage in your industry.
DataHour: Beginners Guide to Data Analysis Using Alteryx and PowerBI
During the upcoming Datahour, Vivek will delve into the fundamentals of Data Analysis and the various ways it can be applied across diverse fields. He will demonstrate the criticality of data cleansing using Alteryx to transform raw datasets into refined information that can be easily analyzed. Moreover, he will elaborate on the process of framing analysis through data preparation.
📅Date: 12th April 2023
⌚Time: 08:30 PM IST
🔗Registration Link: Register Now
Furthermore, Vivek will showcase the use of Power BI in analyzing data, including the creation of a visually appealing dashboard for comprehensive data visualization. This presentation promises to provide valuable insights and practical tips for individuals looking to improve their understanding of data analysis and its potential applications.
DataHour: An Overview of Named Entity Recognition(NER)
In this upcoming Datahour session, Pallavi will provide a comprehensive understanding of Named Entity Recognition (NER), covering various aspects of the process. The session will begin with an introduction to Natural Language Processing (NLP) and NER. Pallavi will then explain the methods and usage of NER and cover different libraries that can be used to train NER models, from basic to advanced levels.
📅Date: 13th April 2023
⌚Time: 08:30 PM IST
🔗Registration Link: Register Now
Attendees will also get to learn about the practical implementation of NER through examples using 4-5 different libraries. Pallavi will discuss the usage of libraries for different languages and domain-specific applications of NER. The session promises to provide valuable insights into NER and its practical applications for anyone interested in NLP and data analysis.
DataHour: Exploratory Data Analysis Using Matplotlib and Seaborn
Exploratory Data Analysis (EDA) is a methodology used for summarizing the primary characteristics of datasets. Its purpose is to gain a comprehensive understanding of the data, including the variables and their relationships. By doing so, it can facilitate the formulation of hypotheses that may be beneficial when constructing predictive models.
📅Date: 14th April 2023
⌚Time: 07:00 PM IST
🔗Registration Link: Register Now
In this upcoming DataHour session, Nitin will guide the attendees on how to perform Exploratory Data Analysis (EDA) using data visualization techniques. The focus will be on using the Matplotlib and Seaborn Python libraries to conduct EDA. Nitin will delve into the significance of EDA, its practical applications, and its impact on data analysis. Attendees will also get hands-on experience with EDA using the Matplotlib and Seaborn libraries. Nitin will cover these topics in detail during the session. Overall, the session promises to provide valuable insights and practical knowledge on EDA for anyone interested in data analysis.
DataHour: Clustering and Segmentation in Data Science
Data Science comprises various branches, and one of its vital components is Clustering and Segmentation. These techniques have widespread applications across numerous domains, such as business, healthcare, and social sciences, to group together data points that belong to similar clusters or cohorts. For example, clustering can be used to classify customers based on their purchasing habits or segment users based on their interests. Clustering and segmentation are powerful tools that can extract valuable insights from data and improve the transparency of decision-making processes.
📅Date: 14th April 2023
⌚Time: 07:00 PM IST
🔗Registration Link: Register Now
In the upcoming DataHour session, Arani will delve into the nuances of clustering and segmentation techniques, focusing on K Means clustering and Decision Trees. Arani will provide a detailed explanation of these techniques, highlighting their real-life applications. The session will equip attendees with practical knowledge of clustering and segmentation, enabling them to implement these techniques effectively in their work. The insights gained from the session can aid in developing better business strategies, optimizing operations, and improving overall performance.
Conclusion
Don’t miss this chance to advance your technological path. Discover a world of possibilities by signing up for DataHour sessions right away. Have inquiries? During the session, you can contact the speaker, or you can send us an email at [email protected]. Why are you holding out? Book your space right away!
Connect
If you’re having trouble enrolling or would like to conduct a session with us. Contact us at [email protected]
