Becoming A Good Data Science Customer

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Becoming a Good Data Science Customer

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Becoming a Good Data Science Customer.torrent
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14bda56615c01f9d30bb5bb5205b1e64fed169b1
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221 MB in 79 files
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Uploaded on 09-04-2024 by our crawler pet called "Spidey".
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Description

[ FreeCourseWeb.com ] Becoming a Good Data Science Customer



If You Need More Stuff, kindly Visit and Support Us -->> https://FreeCourseWeb.com







Released 4/2024

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch

Skill Level: Intermediate | Genre: eLearning | Language: English + srt | Duration: 1h 52m | Size: 222 MB



The world of data science has created radical shifts in the way we work, play, shop, socialize, and learn. And as it continues to grow in importance across many different industries, business leaders need to know how to communicate effectively with data science teams to maximize their return on investment. In this course, Columbia University professor Howard Friedman gives you an overview of the most critical questions and tools to probe data scientists about key topics related to data collection, data storage, data analysis, hardware and software, data modeling, ethics, and more. Along the way, explore the basic technical lingo, recognize the types of talent on the team, and learn how to pose well-formed questions to data scientists to gather better insights, create opportunities, and generate value as well as challenge key assumptions. By the end of this course, you’ll be equipped with the right questions and tools to start making more profitable data-driven business decisions.





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We upload these learning materials for the people from all over the world, who have the talent and motivation to sharpen their skills/ knowledge but do not have the financial support to afford the materials. If you like this content and if you are truly in a position that you can actually buy the materials, then Please, we repeat, Please, Support Authors. They Deserve it! Because always remember, without "Them", you and we won't be here having this conversation. Think about it! Peace...



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Files in this torrent

FILENAMESIZE
~Get Your Files Here !/01 - Introduction/01 - Good data science customers ask critical questions.mp43.9 MB
~Get Your Files Here !/01 - Introduction/01 - Good data science customers ask critical questions.srt1.4 KB
~Get Your Files Here !/01 - Introduction/02 - What you should know for this course.mp43.8 MB
~Get Your Files Here !/01 - Introduction/02 - What you should know for this course.srt3.4 KB
~Get Your Files Here !/02 - 1. Tools of the Trade/01 - Stages of data workflow.mp46.7 MB
~Get Your Files Here !/02 - 1. Tools of the Trade/01 - Stages of data workflow.srt5.3 KB
~Get Your Files Here !/02 - 1. Tools of the Trade/02 - Data storage options.mp46.2 MB
~Get Your Files Here !/02 - 1. Tools of the Trade/02 - Data storage options.srt6.3 KB
~Get Your Files Here !/02 - 1. Tools of the Trade/03 - Data sources.mp49.3 MB
~Get Your Files Here !/02 - 1. Tools of the Trade/03 - Data sources.srt6.8 KB
~Get Your Files Here !/02 - 1. Tools of the Trade/04 - Ensuring data quality.mp44.3 MB
~Get Your Files Here !/02 - 1. Tools of the Trade/04 - Ensuring data quality.srt4.5 KB
~Get Your Files Here !/02 - 1. Tools of the Trade/05 - Coding languages and repositories.mp47.4 MB
~Get Your Files Here !/02 - 1. Tools of the Trade/05 - Coding languages and repositories.srt6.8 KB
~Get Your Files Here !/02 - 1. Tools of the Trade/06 - Data products.mp45.8 MB
~Get Your Files Here !/02 - 1. Tools of the Trade/06 - Data products.srt6.2 KB
~Get Your Files Here !/02 - 1. Tools of the Trade/07 - Data workflow exercise.mp41.8 MB
~Get Your Files Here !/02 - 1. Tools of the Trade/07 - Data workflow exercise.srt1 KB
~Get Your Files Here !/03 - 2. Descriptive Statistics Foundations/01 - Data limitations.mp46.5 MB
~Get Your Files Here !/03 - 2. Descriptive Statistics Foundations/01 - Data limitations.srt5.2 KB
~Get Your Files Here !/03 - 2. Descriptive Statistics Foundations/02 - Summary statistics.mp46.2 MB
~Get Your Files Here !/03 - 2. Descriptive Statistics Foundations/02 - Summary statistics.srt6.5 KB
~Get Your Files Here !/03 - 2. Descriptive Statistics Foundations/03 - Correlations.mp44.6 MB
~Get Your Files Here !/03 - 2. Descriptive Statistics Foundations/03 - Correlations.srt4.6 KB
~Get Your Files Here !/03 - 2. Descriptive Statistics Foundations/04 - Testing hypothesis Effect sizes and p-values.mp44.9 MB
~Get Your Files Here !/03 - 2. Descriptive Statistics Foundations/04 - Testing hypothesis Effect sizes and p-values.srt4.5 KB
~Get Your Files Here !/03 - 2. Descriptive Statistics Foundations/05 - Common mistakes.mp44 MB
~Get Your Files Here !/03 - 2. Descriptive Statistics Foundations/05 - Common mistakes.srt3.9 KB
~Get Your Files Here !/04 - 3. Making Good Decisions with Data/01 - Causality.mp44.7 MB
~Get Your Files Here !/04 - 3. Making Good Decisions with Data/01 - Causality.srt4.1 KB
~Get Your Files Here !/04 - 3. Making Good Decisions with Data/02 - Benefits of randomization.mp45.8 MB
~Get Your Files Here !/04 - 3. Making Good Decisions with Data/02 - Benefits of randomization.srt5.5 KB
~Get Your Files Here !/04 - 3. Making Good Decisions with Data/03 - What if you can't randomize.mp44.4 MB
~Get Your Files Here !/04 - 3. Making Good Decisions with Data/03 - What if you can't randomize.srt4.5 KB
~Get Your Files Here !/04 - 3. Making Good Decisions with Data/04 - Spotting biases.mp44.5 MB
~Get Your Files Here !/04 - 3. Making Good Decisions with Data/04 - Spotting biases.srt5.2 KB
~Get Your Files Here !/04 - 3. Making Good Decisions with Data/05 - Matching description to bias exercise.mp4720.1 KB
~Get Your Files Here !/04 - 3. Making Good Decisions with Data/05 - Matching description to bias exercise.srt310 B
~Get Your Files Here !/05 - 4. Customer Segmentation/01 - What projects involve unsupervised machine learning.mp45.9 MB
~Get Your Files Here !/05 - 4. Customer Segmentation/01 - What projects involve unsupervised machine learning.srt3.5 KB
~Get Your Files Here !/05 - 4. Customer Segmentation/02 - Reducing dimensions.mp46.3 MB
~Get Your Files Here !/05 - 4. Customer Segmentation/02 - Reducing dimensions.srt5.1 KB
~Get Your Files Here !/05 - 4. Customer Segmentation/03 - Clustering algorithms.mp44.8 MB
~Get Your Files Here !/05 - 4. Customer Segmentation/03 - Clustering algorithms.srt5.1 KB
~Get Your Files Here !/06 - 5. Predictive Modeling/01 - What projects involve predictive modeling.mp45.5 MB
~Get Your Files Here !/06 - 5. Predictive Modeling/01 - What projects involve predictive modeling.srt4.2 KB
~Get Your Files Here !/06 - 5. Predictive Modeling/02 - Feature selection.mp44.5 MB
~Get Your Files Here !/06 - 5. Predictive Modeling/02 - Feature selection.srt4.5 KB
~Get Your Files Here !/06 - 5. Predictive Modeling/03 - Model training and testing (data partitioning).mp48.9 MB
~Get Your Files Here !/06 - 5. Predictive Modeling/03 - Model training and testing (data partitioning).srt8 KB
~Get Your Files Here !/06 - 5. Predictive Modeling/04 - Model tuning.mp44.2 MB
~Get Your Files Here !/06 - 5. Predictive Modeling/04 - Model tuning.srt3.2 KB
~Get Your Files Here !/06 - 5. Predictive Modeling/05 - Measuring model performance.mp45.4 MB
~Get Your Files Here !/06 - 5. Predictive Modeling/05 - Measuring model performance.srt4.5 KB
~Get Your Files Here !/06 - 5. Predictive Modeling/06 - Confusion matrix.mp46.3 MB
~Get Your Files Here !/06 - 5. Predictive Modeling/06 - Confusion matrix.srt6.3 KB
~Get Your Files Here !/06 - 5. Predictive Modeling/07 - Customer simulation exercise.mp41.5 MB
~Get Your Files Here !/06 - 5. Predictive Modeling/07 - Customer simulation exercise.srt750 B
~Get Your Files Here !/07 - 6. Other Modeling Methods/01 - Natural language processing (NLP).mp412 MB
~Get Your Files Here !/07 - 6. Other Modeling Methods/01 - Natural language processing (NLP).srt7.1 KB
~Get Your Files Here !/07 - 6. Other Modeling Methods/02 - Geospatial analysis.mp410.6 MB
~Get Your Files Here !/07 - 6. Other Modeling Methods/02 - Geospatial analysis.srt5.5 KB
~Get Your Files Here !/07 - 6. Other Modeling Methods/03 - Computer vision.mp45.3 MB
~Get Your Files Here !/07 - 6. Other Modeling Methods/03 - Computer vision.srt3.9 KB
~Get Your Files Here !/07 - 6. Other Modeling Methods/04 - Network analysis.mp49.4 MB
~Get Your Files Here !/07 - 6. Other Modeling Methods/04 - Network analysis.srt6 KB
~Get Your Files Here !/07 - 6. Other Modeling Methods/05 - Large language models (LLM).mp45.7 MB
~Get Your Files Here !/07 - 6. Other Modeling Methods/05 - Large language models (LLM).srt5.4 KB
~Get Your Files Here !/08 - 7. Ethics/01 - Data science code of ethics.mp44.2 MB
~Get Your Files Here !/08 - 7. Ethics/01 - Data science code of ethics.srt3.9 KB
~Get Your Files Here !/08 - 7. Ethics/02 - Bias and fairness.mp46.1 MB
~Get Your Files Here !/08 - 7. Ethics/02 - Bias and fairness.srt5.2 KB
~Get Your Files Here !/08 - 7. Ethics/03 - Data drift.mp46.1 MB
~Get Your Files Here !/08 - 7. Ethics/03 - Data drift.srt4.8 KB
~Get Your Files Here !/08 - 7. Ethics/04 - Privacy and security.mp47.8 MB
~Get Your Files Here !/08 - 7. Ethics/04 - Privacy and security.srt5.7 KB
~Get Your Files Here !/09 - Conclusion/01 - Next steps.mp45.1 MB
~Get Your Files Here !/09 - Conclusion/01 - Next steps.srt2.5 KB
~Get Your Files Here !/Bonus Resources.txt386 B

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