सर्वश्रेष्ठ Data पॉडकास्टस (2025)

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The CyberSec Gita: Ancient Wisdom for Modern Digital Protection 2:40

2y ago2:40

2:40

The Cyber Warrior's Guide to Bhagavad Gita: Unlocking Ancient Wisdom for Modern Security Exploring Cybersecurity through the Teachings of the Bhagavad Gita

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Mystery of Bermuda Triangle | Secrets of Devil's Triangle | HiNDI 10:04

2y ago10:04

10:04

https://youtube.com/@allzahirThe Bermuda Triangle, also known as the Devil's Triangle, is an urban legend focused on a loosely defined region in the western part of the North Atlantic Ocean where a number of aircraft and ships are said to have disappeared under mysterious circumstances. I have explained in details.…

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Business Of Our Data | DATA BROKERS | HINDi 8:25

2+ y ago8:25

8:25

Data brokers are companies that collect data themselves or buy it from other companies and crawl the internet for useful information about users.

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The Woman who burnt children | NASRA YUSUF AL-ENEZI | HINDi 9:05

2+ y ago9:05

9:05

Nasra Yusuf Mohamed al-Enezi (also given as Nusra Anzi) became the first Kuwaiti woman ever to be hanged.

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Silk Road | Dark Web|ROSS ULBRICHT | HINDi 11:30

2+ y ago11:30

11:30

Ross William Ulbricht is an American inmate serving life imprisonment for creating and operating the darknet market website Silk Road from 2011 until his arrest in 2013. The site used Tor for anonymity and bitcoin as a currency and facilitated the sale of narcotics and other illegal sales.

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The Mysterious and Brutal Serial Killer |JACK THE RIPPER | HINDi 8:56

2+ y ago8:56

8:56

Jack the Ripper was an unidentified serial killer active in the impoverished districts in and around Whitechapel in the East End of London in 1888.

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The Creative and Destructive Scientist | FRITZ HABER | Hindi 10:01

2+ y ago10:01

10:01

https://youtube.com/@allzahirFritz haber was a German chemist who received the Nobel Prize in Chemistry in 1918 for his invention of the Haber–Bosch process.Haber is also considered the "father of chemical warfare" ( The Monster)for his years of pioneering work developing and weaponizing chlorine and other poisonous gases during World War I.…

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Illuminati - A Secret society | HINDI 10:05

2+ y ago10:05

10:05

Illuminati is one of the oldest secret society and many believe Illuminati is responsible for major wars including the French Revolution, World War 1.https://youtube.com/@allzahir

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UNIT 731 - A killing center | HINDI 9:18

2+ y ago9:18

9:18

Unit 731 was a covert biological and chemical warfare research and development unit of the Imperial Japanese Army that engaged in lethal human experimentation and biological weapons manufacturing.https://youtube.com/@allzahir

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Cyber world real stories 4:07

3y ago4:07

4:07

Bank had no firewall license, intrusion or phishing protection – guess the rest

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YOUTUBE SHORTS FUNDS 💯NEW UPDATE MONETIZATION💰$100M💰 |iTECH PODCAST 1:01

3+ y ago1:01

1:01

YOUTUBE SHORTS FUNDS 💯NEW UPDATE MONETIZATION💰$100M💰 || कैसे मिलेगा youtube shorts funds #shorts

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What data does facebook collect ? 6:41

3+ y ago6:41

6:41

In this podcast we'll try to cover all the question related to the data collected by facebook

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Why cybersecurity matters more than ever during the coronavirus pandemic 8:22

3+ y ago8:22

8:22

In this podcast we'll cover Why cybersecurity matters more than ever during the coronavirus pandemic

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Data analyst Q29. What are the characteristics of a good data model? 1:05

4y ago1:05

1:05

...

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Q10 . Can you sort multiple columns at one time? 1:07

4y ago1:07

1:07

Q10 . Can you sort multiple columns at one time?

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Q9. What steps can you take to handle slow Excel workbooks? 0:57

4y ago0:57

0:57

Q9. What steps can you take to handle slow Excel workbooks?

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Q8 . What is a Print Area and how can you set it in Excel? 1:04

4y ago1:04

1:04

Q8 . What is a Print Area and how can you set it in Excel?

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Q7. What are the most common questions you should ask a client before creating a dashboard? 0:50

4y ago0:50

0:50

Q7. What are the most common questions you should ask a client before creating a dashboard?

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Q6 How can we select all blank cells in Excel? 1:03

4y ago1:03

1:03

Q6 How can we select all blank cells in Excel?

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

4y ago1:12

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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Data analyst Excel Q4 How can you clear all the formatting without actually removing the cell conten 0:41

4y ago0:41

0:41

Data analyst Excel Q4 How can you clear all the formatting without actually removing the cell contents?

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Data analyst Excel Q3 How can you highlight cells with negative values in Excel? 0:54

4y ago0:54

0:54

Data analyst Excel Q3 How can you highlight cells with negative values in Excel?

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Data analyst Excel Q2 Can you tell what is a waterfall chart and when do we use it? 0:59

4y ago0:59

0:59

Data analyst Excel Q2 Can you tell what is a waterfall chart and when do we use it?

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Data analyst Excel Q1 Can you make a Pivot Table from multiple tables? 0:49

4y ago0:49

0:49

Data analyst Excel Q1 Can you make a Pivot Table from multiple tables?

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Introduction of Data Analyst Excel interview QnA new series 0:54

4y ago0:54

0:54

Excel interview QNA

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Data analyst Q&A 28. Mention the steps of a Data Analysis project. 1:31

4y ago1:31

1:31

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 req…

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Data analyst Q&A 27. How should you tackle multi-source problems? 2:15

4y ago2:15

2:15

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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Data analyst Q&A 26. Define “Time Series Analysis”. 3:04

4y ago3:04

3:04

26. Define “Time Series Analysis”.The sample answer is…Time Series analysis can usually be performed in two domains – time domain and frequency domain.Time series analysis is the method where the output forecast of a process is done by analyzing the data collected in the past using techniques like exponential smoothening, log-linear regression meth…

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Data analyst Q&A 25. What is a hash table collision? How can it be prevented? 4:15

4y ago4:15

4:15

25. What is a hash table collision? How can it be prevented?This is one of the important data analyst interview questions.The sample answer is…When two separate keys hash to a common value, a hash table collision occurs. This means that two different data cannot be stored in the same slot.Hash collisions can be avoided by two methods :· Separate ch…

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Data analyst Q&A 24. What is an N-gram? 5:03

4y ago5:03

5:03

24. What is an N-gram?An n-gram is a connected sequence of n items in a given text or speech. Precisely, an N-gram is a probabilistic language model used to predict the next item in a particular sequence, as in (n-1).

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Data analyst Q&A 23. Name the statistical methods that are highly beneficial for data analysts? 5:52

4y ago5:52

5:52

23. Name the statistical methods that are highly beneficial for data analysts?The statistical methods that are mostly used by data analysts are:· Bayesian method· Markov process· Simplex algorithm· Imputation· Spatial and cluster processes· Rank statistics, percentile, outliers detection· Mathematical optimization…

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Data analyst Q&A 22. Define “Collaborative Filtering”. 6:43

4y ago6:43

6:43

22. Define “Collaborative Filtering”.Collaborative filtering is an algorithm that creates a recommendation system based on the behavioral data of a user. For instance, online shopping sites usually compile a list of items under “recommended for you” based on your browsing history and previous purchases. The crucial components of this algorithm incl…

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Data analyst Q&A 21. What is K-mean Algorithm? 7:27

4y ago7:27

7:27

21. What is K-mean Algorithm?K-mean is a partitioning technique in which objects are categorized into K groups. In this algorithm, the clusters are spherical with the data points are aligned around that cluster, and the variance of the clusters is similar to one another.

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Data analyst Q&A 20. What is “Clustering?” Name the properties of clustering algorithms. 8:11

4y ago8:11

8:11

20. What is “Clustering?” Name the properties of clustering algorithms.The sample answer is…Clustering is a method in which data is classified into clusters and groups. A clustering algorithm has the following properties:· Hierarchical or flat· Hard and soft· Iterative· Disjunctive

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Data analyst Q&A 19. How can you define outlier? 7:37

4y ago7:37

7:37

19. How can you define outlier?The sample answer isA data analyst interview question and answers guide will not complete without this question. An outlier is a term commonly used by data analysts when referring to a value that appears to be far removed and divergent from a set pattern in a sample. There are two kinds of outliers – Univariate and Mu…

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Data analyst Q&A 18. Which is the name of the different data validation methods used by data analysts? 8:44

4y ago8:44

8:44

18. Which is the name of the different data validation methods used by data analysts?There are many ways to validate datasets. Some of the most commonly used data validation methods by data analysts .The sample answer is…1. Field level validation – in this method, data validation is done in each field as and when a user enters the data. It helps to…

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Data analyst Q&A 17. What should a data analyst do with missing or suspected data? 8:55

4y ago8:55

8:55

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 data3. Scrutinize the suspicious data to assess…

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Data analyst Q&A 13. What is difference between Data mining and data Analysis? 9:38

4y ago9:38

9:38

13. What is difference between Data mining and data Analysis? Before we discuss in question number 6 . what is difference between data mining and data profiling? Today we discuss about what is difference between data mining and data analysis. The sample answer is… 1. Data mining – used to recognize patterns in data stored. 1. Data analysis – used t…

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Data analyst Q&A 12. How can you handle missing values in a dataset? 10:03

4y ago10:03

10:03

12. How can you handle missing values in a dataset? The sample answer is… 1. Listwise deletion – in listwise deletion method, an entire record is excluded from analysis if any single value is missing 2. Average imputation – use the average value of the responses from the other participants to fill in the missing value 3. Regression substitution – Y…

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Data analyst Q&A 16. What is the KNN imputation method ? 8:49

4y ago8:49

8:49

16. What is the KNN imputation method ? KNN (K — Nearest Neighbors) is one of many (supervised learning) algorithms used in data mining and machine learning, it's a classifier algorithm where the learning is based “how similar” is a data (a vector) from other . The sample answer is… This method is used to impute the missing attribute values which a…

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Data analyst Q&A 15. What are the important responsibilities of a data analyst? 8:49

4y ago8:49

8:49

15. What are the important responsibilities of a data analyst? This is the most commonly asked data analyst interview question. You must have a clear idea as to what your job entails. The sample answer is… 1. Collect and interpret data from multiple sources and analyze results. 2. Filter and clean data gathered from multiple sources. 3. Analyze com…

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Data analyst Q&A 14. what are the key requirements for becoming a data analyst? 9:08

4y ago9:08

9:08

14. what are the key requirements for becoming a data analyst? This data analyst interview question tests your knowledge about the required skill set to become a data analyst. The sample answer is … 1. Be well versed with programming language like python, Sql , databases like MySql, SQLite and also have extensive knowledge on reportingas well as da…

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Data analyst Q&A 11. What are the best practices for data cleaning? 10:43

4y ago10:43

10:43

11. What are the best practices for data cleaning? If you are sitting for a data analyst job, this is one of the most frequently asked data analyst interview questions. Data cleansing primarily refers to the process of detecting and removing errors and inconsistencies from the data to improve data quality. The sample answer is… 1. Make a data clean…

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Data analyst Q&A 10. Which technical tools have used for analysis and presentation purposes? 10:27

4y ago10:27

10:27

10. Which technical tools have used for analysis and presentation purposes? .....Being a data analyst, you are expected to have knowledge of the below tools for data analysis and presentation purposes The sample answer is… 1. Tableau 2. MS-Excel 3. MySql 4. Microsoft SQL server 5. SPSS - IBM platform 6. Python 7. Microsoft Powerpoint…

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Data analyst QnA : 8. What are the common problems that data analysts encounter during analysis? 9:11

4y ago9:11

9:11

08. What are the common problems that data analysts encounter during analysis?There are four problems...1. Handling duplicate and missing values2. Collecting the meaningful right data and the Right time.3. Making data secure and dealing with compliance issues.4. Handling data purging and storage problems…

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Data analyst QnA: 09. What are the various steps involved in any analytics projects? 9:24

4y ago9:24

9:24

09. What are the various steps involved in any analytics projects?.... Data analytics projects involved in 5 important steps 1. Understand the problem, 2. Data collection, 3. Data cleaning, 4. Data exploration and analysis and 5. Interpret the result.

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Data analyst QnA : 07.What is data wrangling in data analytics..? 8:48

4y ago8:48

8:48

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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Data analyst QnA : 06.What is the difference between data mining and data profiling? 9:15

4y ago9:15

9:15

06. What is the difference between data mining and data profiling? .....Both concepts are very important in data analytics . Don’t forget it. Interviewer asking this question in data analyst , business analyst and also data scientist interviews. .....The answer is… a.Data mining – data mining is the process of finding relevant information which has…

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Data analyst QnA : 5. What are your communication strengths? 9:06

4y ago9:06

9:06

5. What are your communication strengths? ....Communication is key in any position. Specifically, with a data analyst role, you will be expected to successfully present your findings and collaborate with the team. Assure them of your ability to communicate with an answer like this: ....That question answers is..... quest“My greatest communication s…

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QnA 4. Take a few minutes to explain how you would estimate how many tourists visit India every May? 9:23

4y ago9:23

9:23

4. Take a few minutes to explain how you would estimate how many tourists visit India every May?…… Many interviewers ask you this type of behavioral questions to see an analyst’s thought process without the help of computers and data sets. After all, technology is only as good and reliable as the people behind it. In your answer include: how you id…

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