Sat.Jul 11, 2020 - Fri.Jul 17, 2020

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5 Striking Pandas Tips and Tricks for Analysts and Data Scientists

Analytics Vidhya

Overview Pandas provide tools and techniques to make data analysis easier in Python We’ll discuss tips and tricks that will help you become a. The post 5 Striking Pandas Tips and Tricks for Analysts and Data Scientists appeared first on Analytics Vidhya.

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9 Best Practices Every Data Science Leader Should Follow

Dataconomy

Being a data scientist is hard. In addition to the combination of advanced mathematics and coding skills required to do the job, it’s a newer role for many organizations, so data scientists are called upon to navigate corporate landscapes, source the right IT resources, and establish new workflows across departments. The post 9 Best Practices Every Data Science Leader Should Follow appeared first on Dataconomy.

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What I Do During A Data Science Project To Deliver Success

Eugene Yan

It's not enough to have a good strategy and plan. Execution is just as important.

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Getting the Most From a Podcast – An interview with Fiyin Obayan

Data Science 101

The post Getting the Most From a Podcast – An interview with Fiyin Obayan appeared first on Ryan Swanstrom.

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What’s New in Apache Airflow® 3.0—And How Will It Reshape Your Data Workflows?

Speaker: Tamara Fingerlin, Developer Advocate

Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. 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. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.

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KNNImputer: A robust way to impute missing values (using Scikit-Learn)

Analytics Vidhya

Overview Learn to use KNNimputer to impute missing values in data Understand the missing value and its types Introduction KNNImputer by scikit-learn is a. The post KNNImputer: A robust way to impute missing values (using Scikit-Learn) appeared first on Analytics Vidhya.

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How to form a close-knit data science team in weeks

Dataconomy

David Kuntz, Head of Data Science at Degreed, discusses how to find and form a close-knit, full-stack data science team in weeks. We’ve all heard about data science unicorns – people with an almost mythical set of skills that can bring real clout and power into your organisation. But searching. The post How to form a close-knit data science team in weeks appeared first on Dataconomy.

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Five Questions on the Alation Partner Network with Kiran Narsu, VP of Business Development, Alation

Alation

The post Five Questions on the Alation Partner Network with Kiran Narsu, VP of Business Development, Alation appeared first on Alation.

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8 Business Analytics Books to Begin Your Journey

Analytics Vidhya

Introduction The global spread of the internet has made the availability of knowledge easy. Every information is at the grasp of our palms. As. The post 8 Business Analytics Books to Begin Your Journey appeared first on Analytics Vidhya.

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A/B test your tech stack

Twilio Segment

Learn how to design, run, and analyze an A/B test to determine what marketing tools are generating the most ROI.

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Difference between SQL Keys (Primary Key, Super Key, Candidate Key, Foreign Key)

Analytics Vidhya

Introduction SQL Keys is the Key to your success in Analytics! Data is growing at an exponential rate and so is the demand for. The post Difference between SQL Keys (Primary Key, Super Key, Candidate Key, Foreign Key) appeared first on Analytics Vidhya.

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Agent Tooling: Connecting AI to Your Tools, Systems & Data

Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage

There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.

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Top 20 Visualization Dashboards for Mapping COVID-19

Analytics Vidhya

Introduction The best way to track the COVID-19 outbreak is by using data and visualization. The COVID-19 patterns are sometimes contradictory and this is. The post Top 20 Visualization Dashboards for Mapping COVID-19 appeared first on Analytics Vidhya.

Analytics 349
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Hypothesis Testing: A Way to Prove Your Claim Using p-value

Analytics Vidhya

Introduction One of the most basic concepts in statistics is hypothesis testing. Not just in Data Science, Hypothesis testing is important in every field. The post Hypothesis Testing: A Way to Prove Your Claim Using p-value appeared first on Analytics Vidhya.

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Limitations of AUC-ROC technique

Analytics Vidhya

Overview As I had promised in my previous article, now, it’s time to complete our discussion on evaluation metrics for classification problems. Today, we. The post Limitations of AUC-ROC technique appeared first on Analytics Vidhya.

Analytics 239
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Alation Named Leader in IDC’s Inaugural Data Catalog Assessment

Alation

The post Alation Named Leader in IDC’s Inaugural Data Catalog Assessment appeared first on Alation.

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How to Modernize Manufacturing Without Losing Control

Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives

Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri