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To Crack Data Science Job Interviews, You Need Hands-on Learning Which You Can Get Only From CloudyML.
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Check Our Courses Now. Also Get Special Dussehra Discount By Enrolling Today
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Let the festival of lights be the beginning of your transformation! 🚀📊
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Start Your Data Science Journey Today With CloudyML's Hands-on Courses.
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4. Which SQL command is used to delete data from a table?
Anonymous Quiz
61%
DELETE
11%
REMOVE
25%
TRUNCATE
3%
CLEAR
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Which evaluation metric is used for classification problems?
Anonymous Quiz
12%
MAE
22%
RMSE
48%
Accuracy
18%
Mean Deviation
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Enroll in our Cloud Data Engineering Course today and become a catalyst for innovation in your organization.🚀
Visit - https://ds.cloudyml.com/cloud-data-engineering
Benefits of the Course:
✅ Dive deep into cloud platforms like AWS, Azure, and Google Cloud. Understand how to build and manage data pipelines, implement storage solutions, and process real-time data.
✅ Work on real-world projects that mirror industry challenges, ensuring you're job-ready from day one.
✅ Learn from industry veterans with years of experience in cloud data engineering.
Who Will Benefit:
☑️ Aspiring Data Engineers
☑️ IT Professionals
☑️ Data Analysts & Scientists
☑️ Software Developers
Enroll in our Cloud Data Engineering Course today and become a catalyst for innovation in your organization.🚀
🔥1
Which clause is used in SQL to filter the result set?
Anonymous Quiz
62%
WHERE
8%
FROM
19%
HAVING
12%
SELECT
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🚨Data Science Interview Question (SQL) Asked In SnapChat
Assume you're given tables with information on Snapchat users, including their ages and time spent sending and opening snaps.
Write a query to obtain a breakdown of the time spent sending vs. opening snaps as a percentage of total time spent on these activities grouped by age group. Round the percentage to 2 decimal places in the output.
👉🏻Watch Solution Video - https://youtu.be/QeIBCJJpSYg?si=Zw7j3PrAIivJ40sq
Assume you're given tables with information on Snapchat users, including their ages and time spent sending and opening snaps.
Write a query to obtain a breakdown of the time spent sending vs. opening snaps as a percentage of total time spent on these activities grouped by age group. Round the percentage to 2 decimal places in the output.
👉🏻Watch Solution Video - https://youtu.be/QeIBCJJpSYg?si=Zw7j3PrAIivJ40sq
YouTube
SQL Interview QnA | Asked In Snapchat | Data Science | Data Analytics
In this video, we solved an SQL question asked in a Snapchat interview. Watch the full video to get complete insight.
If you want to master SQL along with Python, Tableau, Excel, Statistics, Machine Learning, Deep Learning, & more, then check out our Hands…
If you want to master SQL along with Python, Tableau, Excel, Statistics, Machine Learning, Deep Learning, & more, then check out our Hands…
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🚨#HIRING
https://www.linkedin.com/posts/akashraj001_hiring-datascience-dataanalytics-activity-7265655246423564289-zHaa?utm_source=share&utm_medium=member_desktop
https://www.linkedin.com/posts/akashraj001_hiring-datascience-dataanalytics-activity-7265655246423564289-zHaa?utm_source=share&utm_medium=member_desktop
Linkedin
These companies are #HIRING for different Data Science Job Roles. | Akash Raj
These companies are #HIRING for different Data Science Job Roles. Fresher & Experienced Candidates can apply. Link given below:
Company: iCIMS
Role: Data Analyst
Exp: fresher
Apply Now : https://lnkd.in/gZ2b2BHv
Company: Ecolab
Role: Associate Data Analyst…
Company: iCIMS
Role: Data Analyst
Exp: fresher
Apply Now : https://lnkd.in/gZ2b2BHv
Company: Ecolab
Role: Associate Data Analyst…
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🚨SQL Interview Question
- Find The 3-Day Rolling Average From The Table
👉🏻Check out the video on our YouTube Channel - https://youtu.be/919Ir8Y5A80
- Find The 3-Day Rolling Average From The Table
👉🏻Check out the video on our YouTube Channel - https://youtu.be/919Ir8Y5A80
YouTube
Find The 3-Day Rolling Average From The Table | SQL Interview QnA | Data Science | Data Analytics
In this video, we solved an SQL question asked in a Tata Technologies interview. Watch the full video to get complete insight.
If you want to master SQL along with Python, Tableau, Excel, Statistics, Machine Learning, Deep Learning, & more, then check out…
If you want to master SQL along with Python, Tableau, Excel, Statistics, Machine Learning, Deep Learning, & more, then check out…
🚨Data Science Interview Questions
1. How many cars are there in Chennai? How do u structurally approach coming up with that number?
2. Multiple Linear Regression?
3. OLS vs MLE?
4. R2 vs Adjusted R2? During Model Development which one do we consider?
5. Lift chart, drift chart
6. Sigmoid Function in Logistic regression
7. ROC what is it? AUC and Differentiation?
8. Linear Regression from Multiple Linear Regression
9. P-Value what is it and its significance? What does P in P-Value stand for? What is Hypothesis Testing? Null hypothesis vs Alternate Hypothesis?
10. Bias Variance Trade off?
11. Over fitting vs Underfitting in Machine learning?
12. Estimation of Multiple Linear Regression
13. Forecasting vs Prediction difference? Regression vs Time Series?
14. p,d,q values in ARIMA models
1. What will happen if d=0
2. What is the meaning of p,d,q values?
15. Is your data for Forecasting Uni or multi-dimensional?
16. How to find the nose to start with in a Decision tree.
17. TYPES of Decision trees - CART vs C4.5 vs ID3
18. Genie index vs entropy
19. Linear vs Logistic Regression
20. Decision Trees vs Random Forests
21. Questions on liner regression, how it works and all
22. Asked to write some SQL queries
23. Asked about past work experience
24. Some questions on inferential statistics (hypothesis testing, sampling techniques)
25. Some questions on table (how to filter, how to add calculated fields etc)
26. Why do u use Licensed Platform when other Open source packages are available?
27. What certification Have u done?
28. What is a Confidence Interval?
29. What are Outliers? How to Detect Outliers?
30. How to Handle Outliers?
1. How many cars are there in Chennai? How do u structurally approach coming up with that number?
2. Multiple Linear Regression?
3. OLS vs MLE?
4. R2 vs Adjusted R2? During Model Development which one do we consider?
5. Lift chart, drift chart
6. Sigmoid Function in Logistic regression
7. ROC what is it? AUC and Differentiation?
8. Linear Regression from Multiple Linear Regression
9. P-Value what is it and its significance? What does P in P-Value stand for? What is Hypothesis Testing? Null hypothesis vs Alternate Hypothesis?
10. Bias Variance Trade off?
11. Over fitting vs Underfitting in Machine learning?
12. Estimation of Multiple Linear Regression
13. Forecasting vs Prediction difference? Regression vs Time Series?
14. p,d,q values in ARIMA models
1. What will happen if d=0
2. What is the meaning of p,d,q values?
15. Is your data for Forecasting Uni or multi-dimensional?
16. How to find the nose to start with in a Decision tree.
17. TYPES of Decision trees - CART vs C4.5 vs ID3
18. Genie index vs entropy
19. Linear vs Logistic Regression
20. Decision Trees vs Random Forests
21. Questions on liner regression, how it works and all
22. Asked to write some SQL queries
23. Asked about past work experience
24. Some questions on inferential statistics (hypothesis testing, sampling techniques)
25. Some questions on table (how to filter, how to add calculated fields etc)
26. Why do u use Licensed Platform when other Open source packages are available?
27. What certification Have u done?
28. What is a Confidence Interval?
29. What are Outliers? How to Detect Outliers?
30. How to Handle Outliers?
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Today is a truly special day at CloudyML! Not only are we celebrating the birthday of our founder, but we are also thrilled to announce the launch of something extraordinary – the CloudyML Matrix Program.🚀🔥
The Matrix Program is a complete package – it combines hands-on projects, industry-relevant tools, and in-depth learning.
From Data Science & Analytics To Big Data and Data Engineering on Cloud Technologies, this program gives you everything needed to excel in today’s fast-changing tech world – and at an unbeatable price.
Visit Now - https://ds.cloudyml.com/cloudyml-matrix-program
The Matrix Program is a complete package – it combines hands-on projects, industry-relevant tools, and in-depth learning.
From Data Science & Analytics To Big Data and Data Engineering on Cloud Technologies, this program gives you everything needed to excel in today’s fast-changing tech world – and at an unbeatable price.
Visit Now - https://ds.cloudyml.com/cloudyml-matrix-program
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