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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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10 Ways to Use AI in Data Analytics

Analytics Vidhya

Introduction Incorporating Artificial Intelligence (AI) into Data Analytics has become a revolutionary force in the era of abundant data. It is transforming how businesses get insights from their data reservoirs.

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Unleashing Generative AI in Data Analytics

Analytics Vidhya

Introduction Generative AI enhances data analytics by creating new data and simplifying tasks like coding and analysis. empower this by understanding and generating SQL, Python, text summarization, and visualizations from data. Large language models (LLMs) such as GPT-3.5

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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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How to Use a Semantic Layer to Scale Data & Analytics Across Your Organization

Download this guide for practical advice on using a semantic layer to improve data literacy and scale self-service analytics. The guide includes a checklist, an assessment, industry-specific use cases, and a data & analytics maturity model and roadmap.

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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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The Origin of Big Data Analytics

Analytics Vidhya

Business applications range from customer fraud detection to personalization with extensive data analytics dashboards. The post The Origin of Big Data Analytics appeared first on Analytics Vidhya. They also lead to more efficient operations.

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The Practical Guide to Using a Semantic Layer for Data & Analytics

Learn how and why the world’s most data-driven organizations use a semantic layer for speed of thought query performance and consistent KPIs across all of their BI/AI tools, such as Excel, Power BI, Tableau, Looker, Databricks, DataRobot, and H20, using a live data connection to Snowflake, Google BigQuery, Databricks, Amazon Redshift, Microsoft Azure (..)

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How to Scale a Data Literacy Program at Your Organization

Speaker: Megan Brown, Director, Data Literacy at Starbucks; Mariska Veenhof-Bulten, Business Intelligence Lead at bol.com; and Jennifer Wheeler, Director, IT Data and Analytics at Cardinal Health

Join data & analytics leaders from Starbucks, Cardinal Health, and bol.com for a webinar panel discussion on scaling data literacy skills across your organization with a clear strategy, a pragmatic roadmap, and executive buy-in. You’re invited!

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4 Approaches to Data Analytics

The world of data analytics is changing fast as organizations look to gain competitive advantages through the application of timely data. Choosing the best solution for your dashboards and reports starts with understanding the types of analytics solutions on the market. How do you differentiate one solution from the next?

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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. Using data models to create a single source of truth. Sign up now!

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Data Analytics in the Cloud for Developers and Founders

Speaker: Javier Ramírez, Senior AWS Developer Advocate, AWS

Will the data lake scale when you have twice as much data? Is your data secure? In this session, we address common pitfalls of building data lakes and show how AWS can help you manage data and analytics more efficiently. Javier Ramirez will present: The typical steps for building a data lake.

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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 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.

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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.