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19 Free Data Science Courses by Harvard and IBM

Analytics Vidhya

Introduction Data science is a rapidly growing tech field that’s transforming business decision-making. In this article, we’ve listed some of the best free […] The post 19 Free Data Science Courses by Harvard and IBM appeared first on Analytics Vidhya. To break into this field, you need the right skills.

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Skimpy: Alternative to Pandas describe() for Data Summarization

Analytics Vidhya

Data summarization is an essential first step in any data analysis workflow. While Pandas’ describe() function has been a go-to tool for many, its functionality is limited to numeric data and provides only basic statistics.

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KitikiPlot: Your New Go-To for Time-Series Data Visualization

Analytics Vidhya

This innovative tool is designed to empower data practitioners across various fields, including genomics, air quality monitoring, and weather forecasting to uncover insights with enhanced clarity and precision.

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How to Use Pandas fillna() for Data Imputation?

Analytics Vidhya

Handling missing data is one of the most common challenges in data analysis and machine learning. Missing values can arise for various reasons, such as errors in data collection, manual omissions, or even the natural absence of information. appeared first on Analytics Vidhya.

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Data Talks, CFOs Listen: Why Analytics Are Key To Better Spend Management

Speaker: Claire Grosjean, Global Finance & Operations Executive

Finance teams are drowning in data—but is it actually helping them spend smarter? Key Takeaways: Data Storytelling for Finance 📢 Transforming complex financial reports into clear, actionable insights. Compliance and Risk Considerations ✅ Navigating data-driven finance while staying audit-ready.

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How to Clean Data Using AI

Analytics Vidhya

Cleaning data used to be a time-consuming and repetitive process, which took up much of the data scientist’s time. But now with AI, the data cleaning process has become quicker, wiser, and more efficient.

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Top 20 Python Libraries for Data Science Professionals

Analytics Vidhya

Data science has emerged as one of the most impactful fields in technology, transforming industries and driving innovation across the globe. Python’s dominance in the data science landscape is largely attributed to its rich […] The post Top 20 Python Libraries for Data Science Professionals appeared first on Analytics Vidhya.

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Mastering Apache Airflow® 3.0: What’s New (and What’s Next) for Data Orchestration

Speaker: Tamara Fingerlin, Developer Advocate

As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. With the 3.0

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Apache Airflow® Best Practices: DAG Writing

Speaker: Tamara Fingerlin, Developer Advocate

She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!

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Using a Machine Learning Data Catalog to Reboot Data Governance

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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Data Value Scorecard Report

This report examines the quantitative research of data leaders on data value and return on investment.

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The Unexpected Cost of Data Copies

An organization’s data is copied for many reasons, namely ingesting datasets into data warehouses, creating performance-optimized copies, and building BI extracts for analysis. Read this whitepaper to learn: Why organizations frequently end up with unnecessary data copies.

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How to Evaluate a Data Catalog

More data, more problems. Do you struggle to find, understand, and trust data in your daily work? A data catalog will make your work life easier -- and more productive. This guide offers handy tips for evaluating data catalogs. But where do you start?

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From Hadoop to Data Lakehouse

Getting off of Hadoop is a critical objective for organizations, with data executives well aware of the significant benefits of doing so. By migrating to the data lakehouse, you can get immediate benefits from day one using Dremio’s phased migration approach.

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Put Your Data to Work: The Complete Playbook

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. We’ve created this interactive playbook to help you use your data to provide actionable insights that will lead to better business decisions and customer outcomes.