This one sentence document provides the name "Vishwajit Sen", the course title "Text Analytics Essentials I", and indicates it is version 1 dated January 29, 2014.
Big Data Analytics demos were presented by Vishwajit Sen on January 29, 2014. Sen demonstrated analytics techniques using large datasets. The demos showed how to extract insights and value from big data.
Vishwajit Sen completed The Data Scientist's Toolbox course from Johns Hopkins University on Coursera with distinction in May 2014. The course provided an overview of the conceptual ideas and practical tools used by data analysts and scientists, including version control, markdown, git, GitHub, R, and RStudio. The course was offered by Jeffrey Leek, Roger Peng, and Brian Caffo from the Department of Biostatistics at the Johns Hopkins Bloomberg School of Public Health.
Vishwajit Sen successfully completed an online Coursera course titled "Exploratory Data Analysis" offered by Johns Hopkins University. The course covered exploratory data summarization techniques such as plotting in R and principles of constructing graphics. It also covered common multivariate techniques used for high-dimensional data visualization. The certificate does not reflect the entire on-campus curriculum and does not confer any credit or degree from Johns Hopkins University.
Pig is a platform for analyzing large data sets that operates on Hadoop. It provides a high-level language called Pig Latin for expressing data analysis programs, as well as infrastructure for evaluating these programs. The language is designed to make common data analysis tasks easy, supporting features like schema on read, schema evolution, and the ability to express complex multi-step analysis pipelines.
Vishwajit Sen completed the Coursera course "Computing for Data Analysis" from Johns Hopkins University with distinction on February 16, 2014. The course taught programming in R, including reading data into R, creating graphics, using packages, writing functions, debugging code, and commenting code. The statement does not confer credit from Johns Hopkins University.
Big Data Analytics demos were presented by Vishwajit Sen on January 29, 2014. Sen demonstrated analytics techniques using large datasets. The demos showed how to extract insights and value from big data.
Vishwajit Sen completed the Coursera course "Computing for Data Analysis" from Johns Hopkins University with distinction on February 16, 2014. The course taught programming in R, including reading data into R, creating graphics, using packages, writing functions, debugging code, and commenting code. The statement does not confer credit from Johns Hopkins University.
Vishwajit Sen successfully completed an online Machine Learning course provided by Stanford University through Coursera on June 04, 2014. To pass the course, students had to watch lectures, answer review questions, and finish programming assignments. The certificate was issued by Associate Professor Andrew Ng of Stanford University's Computer Science Department and does not confer an official Stanford grade or credit.
Big Data Analytics demos were presented by Vishwajit Sen on January 29, 2014. Sen demonstrated analytics techniques using large datasets. The demos showed how to extract insights and value from big data.
Vishwajit Sen completed The Data Scientist's Toolbox course from Johns Hopkins University on Coursera with distinction in May 2014. The course provided an overview of the conceptual ideas and practical tools used by data analysts and scientists, including version control, markdown, git, GitHub, R, and RStudio. The course was offered by Jeffrey Leek, Roger Peng, and Brian Caffo from the Department of Biostatistics at the Johns Hopkins Bloomberg School of Public Health.
Vishwajit Sen successfully completed an online Coursera course titled "Exploratory Data Analysis" offered by Johns Hopkins University. The course covered exploratory data summarization techniques such as plotting in R and principles of constructing graphics. It also covered common multivariate techniques used for high-dimensional data visualization. The certificate does not reflect the entire on-campus curriculum and does not confer any credit or degree from Johns Hopkins University.
Pig is a platform for analyzing large data sets that operates on Hadoop. It provides a high-level language called Pig Latin for expressing data analysis programs, as well as infrastructure for evaluating these programs. The language is designed to make common data analysis tasks easy, supporting features like schema on read, schema evolution, and the ability to express complex multi-step analysis pipelines.
Vishwajit Sen completed the Coursera course "Computing for Data Analysis" from Johns Hopkins University with distinction on February 16, 2014. The course taught programming in R, including reading data into R, creating graphics, using packages, writing functions, debugging code, and commenting code. The statement does not confer credit from Johns Hopkins University.
Big Data Analytics demos were presented by Vishwajit Sen on January 29, 2014. Sen demonstrated analytics techniques using large datasets. The demos showed how to extract insights and value from big data.
Vishwajit Sen completed the Coursera course "Computing for Data Analysis" from Johns Hopkins University with distinction on February 16, 2014. The course taught programming in R, including reading data into R, creating graphics, using packages, writing functions, debugging code, and commenting code. The statement does not confer credit from Johns Hopkins University.
Vishwajit Sen successfully completed an online Machine Learning course provided by Stanford University through Coursera on June 04, 2014. To pass the course, students had to watch lectures, answer review questions, and finish programming assignments. The certificate was issued by Associate Professor Andrew Ng of Stanford University's Computer Science Department and does not confer an official Stanford grade or credit.
The document provides identifying information about an individual named Vishwajit Sen, indicates that it relates to an Insurance Essentials course, and provides a date of 03-SEP-15.
Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data. It involves data collection, preparation, and modeling to discover patterns and other useful information within the data. The goal of data science is to help organizations use data to drive better decisions and improve business and operational performance.
Quandl is a platform that provides financial, economic, and alternative datasets that can be accessed directly in R. This document provides instructions on how to install and use the Quandl package in R to pull datasets from Quandl and work with the data. Key steps include installing the Quandl package, signing up for an API key, using the Quandl function to pull datasets with the API key, and manipulating and analyzing the downloaded Quandl data in R.
R is a programming language and software environment for statistical analysis, graphics, and statistical computing. It is widely used among data miners and data scientists for developing statistical software and data analysis. This certificate verifies that Vishwajit Sen has completed an introduction course to the R programming language.
Solr is an open source search platform built on Apache Lucene. It provides powerful full-text search, hit highlighting, faceted search, dynamic clustering, database integration, and rich document (e.g., Word, PDF) handling. Solr is highly scalable, providing distributed search and index replication, and it powers the search and navigation features of many of the world's largest internet sites.
Hadoop Fundamentals I is a course taught by Vishwajit Sen on August 20, 2014. The course provides an introduction to the fundamentals of Hadoop, an open-source software framework for distributed storage and processing of large datasets using clusters of commodity hardware. It covers the core concepts of Hadoop such as HDFS, MapReduce, YARN and common applications.
This document provides an introduction to data analysis using R. Vishwajit Sen wrote the document on January 23, 2014 for Grant Hutchison, who is listed as the instructor. The document aims to introduce the basics of data analysis using the R programming language.
"Financial Odyssey: Navigating Past Performance Through Diverse Analytical Lens"sameer shah
Embark on a captivating financial journey with 'Financial Odyssey,' our hackathon project. Delve deep into the past performance of two companies as we employ an array of financial statement analysis techniques. From ratio analysis to trend analysis, uncover insights crucial for informed decision-making in the dynamic world of finance."
Codeless Generative AI Pipelines
(GenAI with Milvus)
https://ml.dssconf.pl/user.html#!/lecture/DSSML24-041a/rate
Discover the potential of real-time streaming in the context of GenAI as we delve into the intricacies of Apache NiFi and its capabilities. Learn how this tool can significantly simplify the data engineering workflow for GenAI applications, allowing you to focus on the creative aspects rather than the technical complexities. I will guide you through practical examples and use cases, showing the impact of automation on prompt building. From data ingestion to transformation and delivery, witness how Apache NiFi streamlines the entire pipeline, ensuring a smooth and hassle-free experience.
Timothy Spann
https://www.youtube.com/@FLaNK-Stack
https://medium.com/@tspann
https://www.datainmotion.dev/
milvus, unstructured data, vector database, zilliz, cloud, vectors, python, deep learning, generative ai, genai, nifi, kafka, flink, streaming, iot, edge
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...sameer shah
"Join us for STATATHON, a dynamic 2-day event dedicated to exploring statistical knowledge and its real-world applications. From theory to practice, participants engage in intensive learning sessions, workshops, and challenges, fostering a deeper understanding of statistical methodologies and their significance in various fields."
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...Aggregage
This webinar will explore cutting-edge, less familiar but powerful experimentation methodologies which address well-known limitations of standard A/B Testing. Designed for data and product leaders, this session aims to inspire the embrace of innovative approaches and provide insights into the frontiers of experimentation!
The Ipsos - AI - Monitor 2024 Report.pdfSocial Samosa
According to Ipsos AI Monitor's 2024 report, 65% Indians said that products and services using AI have profoundly changed their daily life in the past 3-5 years.
The document provides identifying information about an individual named Vishwajit Sen, indicates that it relates to an Insurance Essentials course, and provides a date of 03-SEP-15.
Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data. It involves data collection, preparation, and modeling to discover patterns and other useful information within the data. The goal of data science is to help organizations use data to drive better decisions and improve business and operational performance.
Quandl is a platform that provides financial, economic, and alternative datasets that can be accessed directly in R. This document provides instructions on how to install and use the Quandl package in R to pull datasets from Quandl and work with the data. Key steps include installing the Quandl package, signing up for an API key, using the Quandl function to pull datasets with the API key, and manipulating and analyzing the downloaded Quandl data in R.
R is a programming language and software environment for statistical analysis, graphics, and statistical computing. It is widely used among data miners and data scientists for developing statistical software and data analysis. This certificate verifies that Vishwajit Sen has completed an introduction course to the R programming language.
Solr is an open source search platform built on Apache Lucene. It provides powerful full-text search, hit highlighting, faceted search, dynamic clustering, database integration, and rich document (e.g., Word, PDF) handling. Solr is highly scalable, providing distributed search and index replication, and it powers the search and navigation features of many of the world's largest internet sites.
Hadoop Fundamentals I is a course taught by Vishwajit Sen on August 20, 2014. The course provides an introduction to the fundamentals of Hadoop, an open-source software framework for distributed storage and processing of large datasets using clusters of commodity hardware. It covers the core concepts of Hadoop such as HDFS, MapReduce, YARN and common applications.
This document provides an introduction to data analysis using R. Vishwajit Sen wrote the document on January 23, 2014 for Grant Hutchison, who is listed as the instructor. The document aims to introduce the basics of data analysis using the R programming language.
"Financial Odyssey: Navigating Past Performance Through Diverse Analytical Lens"sameer shah
Embark on a captivating financial journey with 'Financial Odyssey,' our hackathon project. Delve deep into the past performance of two companies as we employ an array of financial statement analysis techniques. From ratio analysis to trend analysis, uncover insights crucial for informed decision-making in the dynamic world of finance."
Codeless Generative AI Pipelines
(GenAI with Milvus)
https://ml.dssconf.pl/user.html#!/lecture/DSSML24-041a/rate
Discover the potential of real-time streaming in the context of GenAI as we delve into the intricacies of Apache NiFi and its capabilities. Learn how this tool can significantly simplify the data engineering workflow for GenAI applications, allowing you to focus on the creative aspects rather than the technical complexities. I will guide you through practical examples and use cases, showing the impact of automation on prompt building. From data ingestion to transformation and delivery, witness how Apache NiFi streamlines the entire pipeline, ensuring a smooth and hassle-free experience.
Timothy Spann
https://www.youtube.com/@FLaNK-Stack
https://medium.com/@tspann
https://www.datainmotion.dev/
milvus, unstructured data, vector database, zilliz, cloud, vectors, python, deep learning, generative ai, genai, nifi, kafka, flink, streaming, iot, edge
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...sameer shah
"Join us for STATATHON, a dynamic 2-day event dedicated to exploring statistical knowledge and its real-world applications. From theory to practice, participants engage in intensive learning sessions, workshops, and challenges, fostering a deeper understanding of statistical methodologies and their significance in various fields."
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...Aggregage
This webinar will explore cutting-edge, less familiar but powerful experimentation methodologies which address well-known limitations of standard A/B Testing. Designed for data and product leaders, this session aims to inspire the embrace of innovative approaches and provide insights into the frontiers of experimentation!
The Ipsos - AI - Monitor 2024 Report.pdfSocial Samosa
According to Ipsos AI Monitor's 2024 report, 65% Indians said that products and services using AI have profoundly changed their daily life in the past 3-5 years.
Predictably Improve Your B2B Tech Company's Performance by Leveraging DataKiwi Creative
Harness the power of AI-backed reports, benchmarking and data analysis to predict trends and detect anomalies in your marketing efforts.
Peter Caputa, CEO at Databox, reveals how you can discover the strategies and tools to increase your growth rate (and margins!).
From metrics to track to data habits to pick up, enhance your reporting for powerful insights to improve your B2B tech company's marketing.
- - -
This is the webinar recording from the June 2024 HubSpot User Group (HUG) for B2B Technology USA.
Watch the video recording at https://youtu.be/5vjwGfPN9lw
Sign up for future HUG events at https://events.hubspot.com/b2b-technology-usa/