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Join DataHour Sessions With Industry Experts

Analytics Vidhya

Introduction Are you curious about the latest advancements in the data tech industry? In that case, we invite you to check out DataHour, a series of webinars led by experts in the field. Perhaps you’re hoping to advance your career or transition into this field.

Analytics 319
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Maximize your research potential: Top 20 research tools you need to know

Data Science Dojo

From data collection to data analysis and presentation, this blog will cover it all. SPSS – SPSS is a statistical software package used for data analysis, data mining, and forecasting. Excel – Excel is spreadsheet software used for organizing, analyzing, and presenting data.

Tableau 195
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Intelligent Document Processing with AWS, Mastering Data Visualization, GPT-4 Turbo, and ODSC West…

ODSC - Open Data Science

Intelligent Document Processing with AWS, Mastering Data Visualization, GPT-4 Turbo, and ODSC West Keynote Recaps Intelligent Document Processing with AWS AI Services and Amazon Bedrock In this article, we briefly discuss the various phases of IDP and how generative AI is being utilized to augment existing IDP workloads or develop new IDP workloads.

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Why your workforce needs data literacy

Tableau

Organizations that rely on data analysis to make decisions have a significant competitive advantage in overcoming challenges and planning for the future. And yet data access and the skills required to understand the data are, in many organizations, restricted to business intelligence teams and IT specialists.

Tableau 98
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Is data science a good career? Let’s find out!

Dataconomy

It combines techniques from mathematics, statistics, computer science, and domain expertise to analyze data, draw conclusions, and forecast future trends. Data scientists use a combination of programming languages (Python, R, etc.), Participate in online courses, webinars, and workshops to keep your skills relevant and in demand.

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Who is a BI Developer: Role, Responsibilities & Skills

Pickl AI

It is the process of converting raw data into relevant and practical knowledge to help evaluate the performance of businesses, discover trends, and make well-informed choices. Data gathering, data integration, data modelling, analysis of information, and data visualization are all part of intelligence for businesses.

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From zero to BI hero: Launching your business intelligence career

Dataconomy

BI involves using data mining, reporting, and querying techniques to identify key business metrics and KPIs that can help companies make informed decisions. A career path in BI can be a lucrative and rewarding choice for those with interest in data analysis and problem-solving. How to become a blockchain maestro?