question stringlengths 11 711 | domain stringclasses 8
values | company stringclasses 30
values | year float64 2.02k 2.02k ⌀ | coding stringclasses 2
values | personal_exp stringclasses 2
values | category float64 0 1 |
|---|---|---|---|---|---|---|
Using the below Pandas data frame, find the company with the highest average sales. | Data Analytics | Pico MES | null | no | no | 0 |
Using the below Pandas data frame, find the company with the highest average sales. Derive the summary statistics for the sales column and transpose the statistics. | Python | Pico MES | null | no | no | 0 |
Using the below sales table, calculate the total quantity sold by sales representatives whose name starts with A, and the cost of each item they have sold is greater than 10. | SQL | Pico MES | null | no | no | 0 |
Using the data given below, create a pivot table to find the total sales made by each sales representative for each item. Display the sales as % of the grand total. | SQL | Pico MES | null | no | no | 0 |
Using the product and sales order detail table, find the products with total units sold greater than 1.5 million. | SQL | Pico MES | null | no | no | 0 |
Using the product_price table, write an SQL query to find the record with the fourth-highest market price. | SQL | Pico MES | null | no | no | 0 |
Using the Sample Superstore dataset, create a view in Tableau to analyze the sales, profit, and quantity sold across different subcategories of items present under each category. | Data Analytics | Pico MES | null | no | no | 0 |
Using the Sample Superstore dataset, display the top 5 and bottom 5 customers based on their profit. | Data Analytics | Pico MES | null | no | no | 0 |
What are INDEX and MATCH functions, and how do they work together? | Data Analytics | Pico MES | null | no | no | 0 |
What are some common data visualization tools you have used? | Data Analytics | Pico MES | null | no | no | 0 |
What Are the Applications of Supervised Machine Learning in Modern Businesses? | Machine Learning | Pico MES | null | no | no | 0 |
What are the best methods for data cleaning? | Data Analytics | Pico MES | null | no | no | 0 |
What are the common problems that Data Analyticss encounter during analysis? | Data Analytics | Pico MES | null | no | no | 0 |
What Are the Differences Between Machine Learning and Machine Learning? | Machine Learning | Pico MES | null | no | no | 0 |
What are the different connection types in Tableau Software? | Data Analytics | Pico MES | null | no | no | 0 |
What are the different joins that Tableau provides? | Data Analytics | Pico MES | null | no | no | 0 |
What are the different types of Hypothesis testing? | Data Analytics | Pico MES | null | no | no | 0 |
What are the different types of sampling techniques used by Data Analyticss? | Data Analytics | Pico MES | null | no | no | 0 |
What are the different ways to create a data frame in Pandas? | Data Analytics | Pico MES | null | no | no | 0 |
What are the ethical considerations of data analysis? | Data Analytics | Pico MES | null | no | no | 1 |
What are the various steps involved in any analytics project? | Data Analytics | Pico MES | null | no | no | 0 |
What Are Unsupervised Machine Learning Techniques? | Machine Learning | Pico MES | null | no | no | 0 |
What are your strengths and weaknesses as a Data Analytics? | Data Analytics | Pico MES | null | no | no | 1 |
What data analytics software are you familiar with? | Data Analytics | Pico MES | null | no | no | 0 |
What data analytics software are you trained in? | Data Analytics | Pico MES | null | no | no | 0 |
What data software have you used in the past? | Data Analytics | Pico MES | null | no | no | 0 |
What do you understand by LOD in Tableau? | Data Analytics | Pico MES | null | no | no | 0 |
Are window functions always faster than joins? | Data Engineer | Plaid | null | no | no | 0 |
Build a decentralized key-value database. | Machine Learning | Plaid | null | no | no | 0 |
Can window functions be used in conjunction with joins? | Data Engineer | Plaid | null | no | no | 0 |
Can you create a Python function that adjusts the stream count for songs with a markdown rate? | Machine Learning | Plaid | null | no | no | 0 |
Can you develop a function to find the longest path within a Directed Acyclic Graph? | Machine Learning | Plaid | null | no | no | 0 |
Can you elaborate on how a confusion matrix and an ROC curve serve in performance evaluation and their distinct purposes? | Machine Learning | Plaid | null | no | no | 0 |
Can you find the least length subarray that sums to a target value or more, utilizing a greedy tactic? | Machine Learning | Plaid | null | no | no | 0 |
Can you provide some insight into XGBoosting and how it can be applied? | Machine Learning | Plaid | null | no | no | 0 |
Can you walk me through the steps you take during an ETL process? | Machine Learning | Plaid | null | no | no | 0 |
Could you discuss some common methods used in Time Series Forecasting? | Machine Learning | Plaid | null | no | no | 0 |
Could you explain the essential phases of backpropagation used in neural network training? | Machine Learning | Plaid | null | no | no | 0 |
Create a cloud monitoring platform for real-time performance tracking. | Machine Learning | Plaid | null | no | no | 0 |
Design a distributed cache system. | Machine Learning | Plaid | null | no | no | 0 |
Design a file sharing system like Dropbox. | Machine Learning | Plaid | null | no | no | 0 |
Design a music streaming service like Spotify. | Machine Learning | Plaid | null | no | no | 0 |
Design a scalable service for storing and serving multimedia. | Machine Learning | Plaid | null | no | no | 0 |
Design a system for hotel bookings. | Machine Learning | Plaid | null | no | no | 0 |
Develop a real-time ad bidding system for online ads. | Machine Learning | Plaid | null | no | no | 0 |
How does a typical ML project unfold, from the initial planning to the final delivery? | Machine Learning | Plaid | null | no | no | 0 |
How does the performance of DBSCAN compare to other clustering algorithms? | Machine Learning | Plaid | null | no | no | 0 |
How would you approach the selection of the number of clusters in K-means, given a dataset with multiple variables? | Machine Learning | Plaid | null | no | no | 0 |
How would you architect a platform for real-time document collaboration? | Machine Learning | Plaid | null | no | no | 0 |
How would you leverage the use of a hash table to tackle the two sum problem in O(n) time complexity? | Machine Learning | Plaid | null | no | no | 0 |
In your experience, what are some of the examples of real-world scenarios where overfitting and underfitting have posed challenges for model performance and accuracy? What are the outcomes? | Machine Learning | Plaid | null | no | yes | 0 |
Outline the working principles of a 1D CNN. | Machine Learning | Plaid | null | no | no | 0 |
Please identify an algorithm that could distinguish fake news from authentic articles and illustrate its application. | Machine Learning | Plaid | null | no | no | 0 |
What are the main differences between joins and window functions? | Data Engineer | Plaid | null | no | no | 0 |
What are the potential performance drawbacks of using window functions? | Data Engineer | Plaid | null | no | no | 0 |
Are we over-estimating or underestimating the actual populations credit score? | Machine Learning | Robinhood | null | no | no | 0 |
Assume you have a logistic model that he heavily weighted on one variable and that one variable has a dataset like 50.00, 100.00, 40.00, etc. Next assume that there was a data quality issue with that variable and an unknown number of values removed the decimal point. e.g. 100.00 turned into 10000. Would the model will ... | Data Science | Robinhood | null | no | no | 0 |
Assume you have a logistic model that is heavily weighted on one variable and that one variable has a dataset like 50.00, 100.00, 40.00, etc. Next, assume that there was a data quality issue with that variable and an unknown number of values removed the decimal point (e.g., 100.00 turned into 10000). Would the model be... | Data Science | Robinhood | null | no | no | 0 |
Assume you have a square grid of known size and each spot in a grid as a number of some real value. If you start at the top left corner and can only go down or right, what it the maximum number you can obtain once you reach the bottom left? | Data Science | Robinhood | null | no | no | 0 |
Assume you have a square grid of known size, and each spot in a grid represents a number of some real value. If you start at the top left corner and can only go down or right, what is the maximum number you can obtain once you reach the bottom left? | Data Science | Robinhood | null | no | no | 0 |
Build a classifier that given a user with their features assigns a churn probability for every user and predicts which users will churn. How well does your classifier perform? Based on the classifier output classify each user in the dataset as churned or not churned. | Data Science | Robinhood | null | no | no | 0 |
Build a model to predict whether a user will cancel account. | Data Science | Robinhood | null | no | no | 0 |
Build a model to predict whether a user will cancel an account. | Data Science | Robinhood | null | no | no | 0 |
Can all matrices be decomposed into eigenvectors and eigenvalues? | Machine Learning | Robinhood | null | no | no | 0 |
Can you build a model to predict whether a user will cancel their account? | Data Science | Robinhood | null | no | no | 0 |
Can you conduct a simulation and coding? | Data Science | Robinhood | null | no | no | 0 |
Can you define cross-validation and describe how you use this process when analyzing a data set? | Data Science | Robinhood | null | no | no | 0 |
Can you describe a situation where you had to explain complex data insights to a non-technical audience? | Data Analytics | Robinhood | null | no | yes | 1 |
Can you describe your experience with basic coding questions and projects? | Data Engineer | Robinhood | null | no | yes | 0 |
Can you discuss a time when your analysis had a significant impact on a business decision? | Data Analytics | Robinhood | null | no | yes | 1 |
Can you discuss some of the weaknesses of a linear analysis model? | Data Science | Robinhood | null | no | no | 0 |
Can you explain conditional probability? | Data Science | Robinhood | null | no | no | 0 |
Can you explain how you would approach a case study to predict user churn? | Data Science | Robinhood | null | no | no | 0 |
Can you explain how you would use SQL to extract and manipulate data for analysis? | Data Analytics | Robinhood | null | no | no | 0 |
Can you explain the concept of machine learning? | Data Science | Robinhood | null | no | no | 0 |
Can you explain what a tree is in the context of data analysis? | Data Science | Robinhood | null | no | no | 0 |
Can you explain your approach to interpreting and discussing the model with management? | Data Science | Robinhood | null | no | no | 0 |
Can you explain your understanding of product sense? | Data Science | Robinhood | null | no | no | 1 |
Can you provide an example of a case study you have worked on in the past? | Data Science | Robinhood | null | no | no | 1 |
Can you provide an example of a complex data analysis project you have worked on? | Data Analytics | Robinhood | null | no | no | 0 |
Can you talk me through the process of determining correlation between a binary and continuous variable? | Data Science | Robinhood | null | no | no | 0 |
Can you use SQL to extract information from a database? | Data Science | Robinhood | null | no | no | 0 |
Compute the update formula using batch gradient descent for the cluster mean for cluster k using a learning rate epsilon. | Machine Learning | Robinhood | null | no | no | 0 |
Compute the update formula using stochastic gradient descent for the cluster mean for cluster k using a learning rate epsilon. | Machine Learning | Robinhood | null | no | no | 0 |
Could you discuss the challenges presented by the curse of dimensionality and how you'd tackle them? | Data Science | Robinhood | null | no | no | 0 |
Could you elucidate the minimum height tree concept and the process to assemble one? | Machine Learning | Robinhood | null | no | no | 0 |
Could you explain your experience with probability and modeling? | Data Science | Robinhood | null | no | yes | 0 |
Could you tell me about a time when you aided a colleague with his work? | Data Science | Robinhood | null | no | yes | 1 |
Could you walk me through the steps of calculating precision and recall in a machine learning model? | Data Science | Robinhood | null | no | no | 0 |
Create a function traverse_count to determine the number of paths in an (n × n) grid. Given an integer (n), write a function traverse_count to determine the number of paths from the top left corner of an (n × n) grid to the bottom right. You may only move right or down. | Data Engineer | Robinhood | null | yes | no | 0 |
Define the cross validation process. What is the motivation behind using it? | Machine Learning | Robinhood | null | no | no | 0 |
Define what it means for a function to be convex. What is an example of a machine learning algorithm that is not convex and describe why that is so? | Machine Learning | Robinhood | null | no | no | 0 |
Describe both generative and discriminative models and give an example of each? | Machine Learning | Robinhood | null | no | no | 0 |
Describe entropy in the context of machine learning, and show mathematically how to maximize it assuming N states. | Machine Learning | Robinhood | null | no | no | 0 |
Describe gradient descent and the motivations behind stochastic gradient descent? | Machine Learning | Robinhood | null | no | no | 0 |
Describe the idea behind boosting. Give an example of one method and describe one advantage and disadvantage it has? | Machine Learning | Robinhood | null | no | no | 0 |
Describe the idea behind PCA and go through its formulation and derivation in matrix form. Go through the procedural description and solve the constrained maximization. | Machine Learning | Robinhood | null | no | no | 0 |
Describe the information that needs to be output for each sell transaction. | Data Science | Robinhood | null | no | no | 0 |
Describe the model formulation behind logistic regression and how to maximize the log-likelihood of a given model (using the two-class case). | Machine Learning | Robinhood | null | no | no | 0 |
Describe the setup algorithmically with formulas for Expectation-Maximization. | Machine Learning | Robinhood | null | no | no | 0 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.