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"But it makes a lot of sense especially when you think about how traditional healers and shamans have worked, they haven't felt that separation from nature like Western medics do. And so to rely on the knowledge of other species actually makes a lot of sense. It's probably a lot more than we know at the moment." - Jaap de Roode Jaap de Roode is a biology professor at Emory University, and he is the author of an astonishing new book called Doctors by Nature How Ants, Apes, and Other Animals Heal Themselves . I say astonishing because I had no idea about so much of what he explores in his book. It never occured to me to consider that other species use medicine and have been healing themselves forever. Jaap tells stories of animals across nature, from bumblebees to chimpanzees, how they use plants and natural substances to treat infections, to ward off parasites, to self-medicate. There's so much that we have learned from them, and there's so much more that we still can.…
Indhold leveret af Sominath Avhad. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Sominath Avhad eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.
17. What should a data analyst do with missing or suspected data? A data analyst need to: 1. Use data analysis strategies like deletion method, single imputation method and model based methods to detect missing data. 2. Prepare a validation report containing all information about the suspected or missing data 3. Scrutinize the suspicious data to assess their validity. 4. Replace all the invalid data (if any) with a proper validation code.
Indhold leveret af Sominath Avhad. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Sominath Avhad eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.
17. What should a data analyst do with missing or suspected data? A data analyst need to: 1. Use data analysis strategies like deletion method, single imputation method and model based methods to detect missing data. 2. Prepare a validation report containing all information about the suspected or missing data 3. Scrutinize the suspicious data to assess their validity. 4. Replace all the invalid data (if any) with a proper validation code.
28. Mention the steps of a Data Analysis project. We discuss this question in question number 9. What are the various steps involved in any data analytics projects…today we will discuss more details. The core steps of a Data Analysis project include: · The foremost requirement of a Data Analysis project is an in-depth understanding of the business requirements. · The second step is to identify the most relevant data sources that best fit the business requirements and obtain the data from reliable and verified sources. · The third step involves exploring the datasets, cleaning the data, and organizing the same to gain a better understanding of the data at hand. · In the fourth step, Data Analysts must validate the data. · The fifth step involves implementing and tracking the datasets. · The final step is to create a list of the most probable outcomes and iterate until the desired results are accomplished. https://open.spotify.com/show/7nQzL21xSX2Qcjup1FbiYH https://open.spotify.com/show/7nQzL21xSX2Qcjup1FbiYH…
27. How should you tackle multi-source problems? To tackle multi-source problems, you need to: · Identify similar data records and combine them into one record that will contain all the useful attributes, minus the redundancy. · Facilitate schema integration through schema restructuring.
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