data-analysis-tools 
Analytics Vidhya
JULY 14, 2023
Introduction As business data is growing more complicated with each passing day, advanced methods for understanding it are required. Traditional data analysis methods relied heavily on manual processes and limited computational capabilities. However, a new era has dawned with the emergence of AI tools.
Smart Data Collective
FEBRUARY 13, 2024
While data analysis may have been reserved for huge corporations with large budgets in the past, today, it’s more accessible than ever before. Whether you’re a one-person operation or the leader of a growing small business, utilizing data analysis is a great way to improve efficiency, boost productivity, and scale to new heights.
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Analytics Vidhya
MARCH 16, 2024
Introduction Spreadsheets are essential tools for data analysis, but complex formulas can hold you back. That’s where Claude for Sheets, a revolutionary AI add-on from Anthropic, comes in. Ask questions directly in your spreadsheet and get insightful answers using natural language.
Analytics Vidhya
APRIL 20, 2024
Introduction Large Language Models (LLMs) are becoming increasingly valuable tools in data science, generative AI (GenAI), and AI. LLM development has accelerated in recent years, leading to widespread use in tasks like complex data analysis and natural language processing.
Speaker: speakers from Verizon, Snowflake, Affinity Federal Credit Union, EverQuote, and AtScale
Join this webinar panel for practical advice on how to build and foster a data literate, self-service analysis culture at scale using a semantic layer. In this webinar you will learn about: Making data accessible to everyone in your organization with their favorite tools.
FineReport
JULY 18, 2022
In an era full of data, data analysis allows us to discover the most useful information and make more scientific decisions for business operations. Data analysis tools are widely used by data analysts as well as non-professional business people to achieve better performance and higher efficiency.
Analytics Vidhya
APRIL 15, 2024
Introduction Mastering Graph Neural Networks is an important tool for processing and learning from graph-structured data. This creative method has transformed a number of fields, including drug development, recommendation systems, social network analysis, and more.
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Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.
Speaker: Speakers from SafeGraph, Facteus, AWS Data Exchange, SimilarWeb, and AtScale
Data and analytics leaders across industries can benefit from leveraging multiple types of diverse external data for making smarter business decisions. Data and analytics specialists from AWS Data Exchange and AtScale will walk through exactly how to blend and operationalize these diverse data external and internal sources.
Speaker: David Loshin, President, Knowledge Integrity, Inc, and Sharon Graves, Enterprise Data - BI Tools Evangelist, GoDaddy
Traditional data governance fails to address how data is consumed and how information gets used. As a result, organizations are failing to effectively share and leverage data assets. To meet the needs of the business and the growing number of data consumers, many organizations like GoDaddy are rebooting data governance.
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An interactive guide filled with the tools to turn your data into a competitive advantage. They rely on data to power products, business insights, and marketing strategy. An interactive quiz to test (and refresh) your knowledge of different data types and how they help your organization.
Speaker: Brian Dooley, Director SC Navigator, AIMMS, and Paul van Nierop, Supply Chain Planning Specialist, AIMMS
When you finally have the analysis, everything has changed, and it is no longer relevant. This on-demand webinar shares research findings from Supply Chain Insights, including the top 5 obstacles that bog you down when trying to improve your network design efforts: Poor data quality. Lack of skilled resources.
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