In 1966, two Brazilian men were found dead on Vintém Hill under bizarre circumstances that continue to perplex investigators and conspiracy theorists alike. Lying side by side, their bodies were discovered wearing matching lead masks—shields with no eyeholes—alongside cryptic notes. Were they victims of a cult ritual, a failed experiment, or something even more otherworldly? See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info .…
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Data analyst QnA : 07.What is data wrangling in data analytics..?
Manage episode 313041445 series 3257233
Contenido proporcionado por Sominath Avhad. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Sominath Avhad o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
What is data wrangling in data analytics..? Data wrangling is the very important topics in the data analytics field. The answer is… Data wrangling is the process of cleaning, structuring, enriching, validating and analyzing the raw data into a desired usable format for better decision making.
…
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90 episodios
CompartirManage episode 313041445 series 3257233
Contenido proporcionado por Sominath Avhad. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Sominath Avhad o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
What is data wrangling in data analytics..? Data wrangling is the very important topics in the data analytics field. The answer is… Data wrangling is the process of cleaning, structuring, enriching, validating and analyzing the raw data into a desired usable format for better decision making.
…
continue reading
90 episodios
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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?
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iTECH PODCAST
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?
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iTECH PODCAST
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?
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iTECH PODCAST
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?
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iTECH PODCAST
Data analyst Excel Q3 How can you highlight cells with negative values in Excel?
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iTECH PODCAST
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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