सर्वश्रेष्ठ Model पॉडकास्टस (2024)

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आयुर्वेदिक उपायों से बदलें अपनी सेहत: आचार्य बालकृष्ण के साथ 24:35

2M ago24:35

24:35

इस एपिसोड में, हम जानेंगे कि आयुर्वेद और घर की आम हमारे स्वास्थ्य को कैसे बेहतर बना सकती है। इसके साथ ही, बदलते मौसम में गले की समस्याओं से कैसे बचा जा सकता है और देर रात तक जगने की आदत सेहत पर क्या असर डालती है, इस पर भी चर्चा की जाएगी। सुनिए इस एपिसोड में आचार्य बालकृष्ण के ज्ञान से भरपूर बातें और जानिए कैसे आयुर्वेद और योग आपके जीवन को बेहतर बना…

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जानिए आयुर्वेद, योग और जीवन का संतुलन: आचार्य बालकृष्ण के साथ 15:12

3M ago15:12

15:12

इस एपिसोड में आचार्य बालकृष्ण ने आयुर्वेद की महत्वपूर्ण भूमिका पर प्रकाश डाला और योग की असली परिभाषा को समझाया। उन्होंने बताया कि जीवन के विभिन्न पहलुओं के बीच संतुलन कैसे बनाए रखा जाए और जन्मदिन के उत्सव की बजाय उसे महत्वपूर्ण कर्मों में कैसे परिवर्तित किया जा सकता है। आचार्य जी ने आधुनिक पीढ़ी के लिए आयुर्वेदिक रिसर्च के महत्व पर भी चर्चा की और घ…

1
आयुर्वेद और एलोपैथी: स्वस्थ जीवन की नई दिशा 11:05

10M ago11:05

11:05

आज के एपिसोड में हम आयुर्वेद और एलोपैथी का अंतर समझेंगे और देखेंगे कि अस्पताल आयुर्वेदिक उपचार को बढ़ावा क्यों दे रहे हैं। हम यह भी जानेंगे कि हम आयुर्वेद को अपने जीवन में कैसे अपना सकते हैं। हम कैसे अपने शरीर और मन को सही आहार और व्यायाम की मदद से लाभ पहुंचा सकते हैं। आइए, स्वस्थ जीवन की ओर एक नया कदम बढ़ाते हैं।…

1
आयुर्वेद: स्वास्थ्य और संतुलन की कुंजी 27:02

11M ago27:02

27:02

सभी को पता है कि आयुर्वेद कई हमारी ज़िंदगी में क्या महत्व हैं। आयुर्वेद हमारे रोगों का इलाज नहीं ही करता बल्कि हमारे लाइफस्टाइल को बेहतर बनाने में भी मदद करता है। इस एपिसोड में हम आयुर्वेद के महत्व पर और विस्तार से चर्चा करेंगे। साथ ही, आचार्य जी से उनके व्यस्त स्केज़्यूल में स्ट्रेस को कैसे हैंडल करते हैं, इसके बारे में भी जानेंगे।…

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खाने के चयन कैसे आपके स्वास्थ्य पर प्रभाव डालते हैं: पतंजलि वेलनेस पॉडकास्ट 22:27

1y ago22:27

22:27

पतंजलि वेलनेस पॉडकास्ट के इस एपिसोड में हम कुछ महत्वपूर्ण विषयों पर चर्चा करेंगे, जैसे कि मिलेट्स के महत्व, शाकाहारी और मांसाहारी आहार के बारे में, संतुलित जीवन जीने के कुछ सुझाव, और अंत में हम पतंजलि वेलनेस सेंटर में आयुर्वेदिक दवाओं के उत्पादन के बारे में भी जानेंगे।द्वारा HT Smartcast

1
बदलता मौसम और आयुर्वेद:पतंजलि वेलनेस पॉडकास्ट 24:31

1+ y ago24:31

24:31

पतंजलि वेलनेस पॉडकास्ट के इस एपिसोड में, हम आचार्य बालकृष्ण जी से बात करेंगे बदलते मौसम के बारे में, मानसिक तनाव को कैसे कम कर सकते हैं, और साथ ही साथ हेल्थ और वेलनेस के मामले में सोशल मीडिया पर हमें कितना निर्भर होना चाहिए.द्वारा HT Smartcast

1
सही पोषण हमारे शरीर में कैसे महत्वपूर्ण भूमिका निभाता है: पतंजलि वेलनेस पॉडकास्ट 23:37

1+ y ago23:37

23:37

पतंजलि वेलनेस पॉडकास्ट में हम आयुर्वेद और स्वस्थ जीवन से जुड़े सवालों के जवाब ढूंढते हैं, जो आचार्य बालकृष्ण जी के माध्यम से हमें प्राप्त होते हैं। इस एपिसोड में, हम जानेंगे कि कैसे आहार के तरीके और दिन-प्रतिदिन की आदतें एक स्वस्थ शरीर के लिए कितनी महत्वपूर्ण हो सकती हैं। आचार्य जी हमें पोषण के बारे में बताएंगे और यह भी विशेष रूप से बतायेंगे कि मधु…

1
घरेलू सात्विकता और महिला स्वास्थ्य: पतंजलि वेलनेस पॉडकास्ट 20:19

1+ y ago20:19

20:19

पतंजलि वेलनेस पॉडकास्ट के इस एपिसोड में, आचार्य बालकृष्ण जी से जानेंगे कैसे घर की महिलाएं अपने स्वास्थ्य की देखभाल कर सकती हैं जैसा कि वे हमारे साथ करती हैं और यह भी कि किस तरह के आहार के तरीके और दिन-प्रतिदिन की आदतें एक स्वस्थ शरीर का कारण बन सकती हैं, यह भी कि कैसे आधुनिक और प्राकृतिक आयुर्वेद एक साथ काम कर सकता है किसी के जीवन में सुधार।…

1
एकीकृत चिकित्सा प्रणाली और आयुर्वेद: पतंजलि वेलनेस पॉडकास्ट 27:42

1+ y ago27:42

27:42

पतंजलि वेलनेस पॉडकास्ट के इस एपिसोड में, आचार्य बालकृष्ण जी से जानेंगे एकीकृत चिकित्सा प्रणाली और वैकल्पिक चिकित्सा के बारे में। जानिए कि कैसे आप अपने खान-पान पर कैसे ध्यान दे सकते है, अच्छी आदतों को अपने जीवन में ढाल सकते है और दूषित वातावरण के साइड इफेक्ट्स से अपने आपको कैसे संरक्षित रख सकते है.द्वारा HT Smartcast

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पतंजलि और आयुर्वेद: आचार्य बालकृष्ण जी की अनोखी कहानी 17:33

1+ y ago17:33

17:33

इस एपिसोड में हम श्री आचार्य बालकृष्ण जी से समझेंगे की कैसे उन्होंने अपने शुरुआत के दिनों में घाट-घाट का पानी पिया। कैसे उन्होंने पतंजलि को एक सेवा का जरिया बनाया और कैसे हिंदुस्तान में आयुर्वेद को एक ब्रांड बना दिया? आने वाले समय में आचार्य जी का क्या विज़न है, जाने इस एपिसोड में।द्वारा HT Smartcast

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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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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?

1
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?

1
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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Data analyst QnA : 3. What was your most difficult data analysis project? 7:28

4y ago7:28

7:28

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 diffi…

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Data analyst QnA : 2. Which area would you prefer to work in and why? 8:18

4y ago8:18

8:18

There are many different types of data analyst, including operations analysts, marketing analysts, financial analysts, and more. The answer is..... I would prefer to work as a marketing analyst because it’s in line with my skills and interests. In addition, I have seen that the companies who hire for this role work in industries that are booming an…

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