Analytics Vidhya
SEPTEMBER 2, 2021
Running unit tests in data science and data engineering projects assures data quality. The post Unit Test framework and Test Driven Development (TDD) in Python appeared first on Analytics Vidhya. This article was published as a part of the Data Science Blogathon Overview Running data projects takes a lot of time.
Analytics Vidhya
DECEMBER 6, 2021
” The only way to test the hypothesis is to look for all the information that disagrees with it – Karl Popper“ Hypothesis Testing comes under a broader subject of Inferential Statistics where we use data samples to draw inferences on the population […].
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Analytics Vidhya
JANUARY 5, 2022
Introduction Testing forms an integral part of any software development project. Testing helps in ensuring that the final product is by and large, free of defects and it meets the desired requirements. Proper testing in the development phase helps in identifying the critical errors […].
Analytics Vidhya
NOVEMBER 27, 2021
One of the popular statistical processes is Hypothesis Testing having vast usability, not […]. The post Creating a Simple Z-test Calculator using Streamlit appeared first on Analytics Vidhya. Statistics plays an important role in the domain of Data Science.
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As a result, most organizations struggle to answer network design questions or test hypotheses in weeks, when results are demanded in hours. This Buyer’s Guide helps you find easy-to-use technology to become more proactive and less reactive when it comes to network design and optimization.
Analytics Vidhya
APRIL 12, 2021
ArticleVideo Book “Testing leads to failure and failure leads to better understanding” Introduction: For every project, whether it is software development or data app. The post GitHub Workflows For Test Automation appeared first on Analytics Vidhya.
Analytics Vidhya
DECEMBER 5, 2020
Introduction Hypothesis Testing is necessary for almost every sector, it does not. The post Quick Guide To Perform Hypothesis Testing appeared first on Analytics Vidhya. This article was published as a part of the Data Science Blogathon.
Speaker: Gertjan de Lange
Discover how the AIMMS IDE allows you to analyze, build, and test a model. Not being able to envision various organizational scenarios means you won't be able to navigate them, leaving you dead in the water. Experience how efficient you can be when you fit your model with actionable data.
Speaker: Vivek Bedi, Keynote Speaker, Author & Entrepreneur
The work/life balance of PMs is being tested; managing a product team and various roadmaps virtually adds to the list of current challenges. In fact, the entire way product managers work has completely changed. Meanwhile many professionals are exploring if pivoting into product management is a career path for them.
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Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.
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Test Your Knowledge of Sales & Operations Execution. Many supply chain professionals have already taken this assessment spanning across multiple industries and 20 countries. The 15-question assessment takes only 5 minutes to complete. Take it now to see how your S&OE process scores and benchmark it against peers.
Speaker: Luke Freiler, CEO and co-founder of Centercode
He's going to walk you through an agile process for continuous customer testing that saves you time and gives you full confidence in your products — no matter how many you're sending out the door this year. How to expand product test coverage — even when budget cuts leave you short-handed.
Speaker: Sonia Singhal, Product Manager at eBay
These days, a simple A/B test can seem to incorporate the whole alphabet, and making a decision from that data isn't as easy as A, B, C either. How do we know we are testing the right thing? How can we shorten the time it takes to do the tests while gaining larger amounts of data? A Live/On-Demand Masterclass.
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You can get new capabilities out the door quickly, test them with customers, and constantly innovate. Embedding analytics in your application doesn’t have to be a one-step undertaking. In fact, rolling out features gradually is beneficial because it allows you to progressively improve your application.
Speaker: Janelle Estes, CIO, User Testing
How to use customer feedback to understand their needs, test hypotheses, and refine your approach through ongoing feedback. We are living in unprecedented times that have changed the way we live and work. The impact on businesses cannot be understated, and product managers have felt the brunt of it. Real-life examples of this process.
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