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Data analyst QnA : 3. What was your most difficult data analysis project?
Manage episode 313041449 series 3257233
内容由Sominath Avhad提供。所有播客内容(包括剧集、图形和播客描述)均由 Sominath Avhad 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal。
3. What was your most difficult data analysis project?....... With a question like this, the interviewer is gaining insight into how you approach and solve problems. It also provides an idea of the type of work you have already done. Be sure to explain the event, action, and result (EAR), avoid blaming others, and explain why this project was difficult: ..............That question answer is..... “My most difficult project was on endangered animals. I had to predict how many animals would survive to 2020, 2050, and 2100. Before this, I’d dealt with data that was already there, with events that had already happened. So, I researched the various habitats, the animal’s predators and other factors, and did my predictions. I have high confidence in the results.”
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Manage episode 313041449 series 3257233
内容由Sominath Avhad提供。所有播客内容(包括剧集、图形和播客描述)均由 Sominath Avhad 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal。
3. What was your most difficult data analysis project?....... With a question like this, the interviewer is gaining insight into how you approach and solve problems. It also provides an idea of the type of work you have already done. Be sure to explain the event, action, and result (EAR), avoid blaming others, and explain why this project was difficult: ..............That question answer is..... “My most difficult project was on endangered animals. I had to predict how many animals would survive to 2020, 2050, and 2100. Before this, I’d dealt with data that was already there, with events that had already happened. So, I researched the various habitats, the animal’s predators and other factors, and did my predictions. I have high confidence in the results.”
…
continue reading
90集单集
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Q10 . Can you sort multiple columns at one time?
Q9. What steps can you take to handle slow Excel workbooks?
Q8 . What is a Print Area and how can you set it in Excel?
Q7. What are the most common questions you should ask a client before creating a dashboard?
Q6 How can we select all blank cells in Excel?

1 Data analyst Excel Q5 What is a Pivot Table and what are the different sections of a Pivot Table? 1:12
Data analyst Excel Q5 What is a Pivot Table and what are the different sections of a Pivot Table?

1 Data analyst Excel Q4 How can you clear all the formatting without actually removing the cell conten 0:41
Data analyst Excel Q4 How can you clear all the formatting without actually removing the cell contents?
Data analyst Excel Q3 How can you highlight cells with negative values in Excel?
Data analyst Excel Q2 Can you tell what is a waterfall chart and when do we use it?
Data analyst Excel Q1 Can you make a Pivot Table from multiple tables?
Excel interview QNA
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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