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What is Data Analytics? How to Use it in Your Career?

Analytics Vidhya

With such large-scale data production, it is essential to have a field that focuses on deriving insights from it. What is data analytics? What tools help in data analytics? How can data analytics be applied to various industries? appeared first on Analytics Vidhya.

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Top 5 Data Analytics Certifications

Analytics Vidhya

Introduction In our era of data supremacy, the ability to decipher the language of numbers and extract meaningful insights has never been more valuable. Data analytics has transcended being just a buzzword; it has become an indispensable tool across industries, steering businesses toward success and innovation.

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Python in Excel: Opening the Door to Advanced Data Analytics

Analytics Vidhya

The foundational data management, analysis, and visualization tool, Microsoft Excel, has taken a significant step forward in its analytical capabilities by incorporating Python functionality.

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HQL COMMANDS FOR DATA ANALYTICS

Analytics Vidhya

HQL or Hive Query Language is a simple yet powerful SQL like querying language which provides the users with the ability to perform data analytics on big datasets. Owing to its syntax similarity to SQL, HQL has been widely adopted among data engineers and can be learned quickly by people new to the world of […].

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The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data and AI

Speaker: Aindra Misra, Sr. Staff Product Manager of Data & AI at BILL (Previously PM Lead at Twitter/X)

This webinar is your gateway to a deeper comprehension of the foundations that drive the data industry and will equip you with the knowledge needed to navigate the evolving landscape. Delve into the diverse use cases where data analytics plays a pivotal role. Anticipated future use cases as we project into 2024 and beyond.

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Altair Accelerates Data Analytics with RapidMiner

David Menninger's Analyst Perspectives

Organizations are continuously combining data from diverse and siloed sources for analytical, artificial intelligence and machine learning projects. As the volume of data grows, it becomes challenging for organizations to manage and keep current to extract valuable insights in a timely manner.

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An Introductory Guide to Big Data Analytics

Analytics Vidhya

This article was published as a part of the Data Science Blogathon One thing that comes to our mind after hearing Big Data Analytics is that this field might be somewhat related to Data Science right? The post An Introductory Guide to Big Data Analytics appeared first on Analytics Vidhya.

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Data & Analytics Maturity Model Workshop Series

Speaker: Dave Mariani, Co-founder & Chief Technology Officer, AtScale; Bob Kelly, Director of Education and Enablement, AtScale

Check out this new instructor-led training workshop series to help advance your organization's data & analytics maturity. Given how data changes fast, there’s a clear need for a measuring stick for data and analytics maturity.

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Data Analytics in the Cloud for Developers and Founders

Speaker: Javier Ramírez, Senior AWS Developer Advocate, AWS

You have lots of data, and you are probably thinking of using the cloud to analyze it. But how will you move data into the cloud? How will you validate and prepare the data? What about streaming data? Can data scientists discover and use the data? In which format? Can operations monitor what’s going on?

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What is Data Storytelling? The Value of Context and Narrative

This blog acts as a beginner’s guide to what data storytelling means for your company’s business intelligence and data analytics, explains the importance of leveraging it today, and illustrates how Yellowfin’s own set of storytelling tools can enrich your insight reporting efforts.

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The Evolving Role of the CDO and CAO

Speaker: Ash Dhupar (CAO), Ben Donlon (CAO), Chris Hutchins (CDAO), Larry Shiller (CDO)

What is the point of a Chief Data/Analytics Officer? But whether the CDO and CAO are roles that have existed in your industry for years, or they're just being established, creating value from your data is something that every industry will soon have a need for. How to leverage data to overcome organizational inertia.