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61. What is K-means clustering? A clustering algorithm that partitions data into K clusters A regression algorithm A classification algorithm A dimensionality reduction technique Submit 62. What is the main objective of clustering in data analysis? To group similar data points together To predict continuous values To identify outliers To perform data visualization Submit 63. What is the elbow method in K-means clustering? A method to determine the optimal number of clusters A way to measure clustering accuracy A method to handle missing data A technique for scaling features Submit 64. What is an API in the context of data analysis? A set of functions for interacting with a system A visualization tool A method for handling missing data A machine learning model Submit 65. What is feature engineering in machine learning? The process of creating new features from raw data The process of splitting data A method to clean missing

51. What is a decision tree in machine learning? A method to visualize time series data A model that makes decisions by splitting data into branches A clustering algorithm A method for scaling features Submit 52. What is a confusion matrix in classification problems? A matrix that stores missing data A table showing the true positives, true negatives, false positives, and false negatives A method to calculate correlation A clustering method Submit 53. What does R-squared measure in regression analysis? The slope of the regression line The proportion of variance in the dependent variable explained by the independent variables The correlation between two variables The difference between predicted and actual values Submit 54. What is the difference between classification and regression in machine learning? Classification predicts categories; regression predicts continuous values Classification predicts continuous values; regression predicts ca

31. What does the SUM function in SQL do? Counts the number of records Returns the total sum of a numeric column Returns the highest value in a column Sorts the records Submit 32. In a box plot, what does the box represent? The mean value of the dataset The interquartile range (IQR) The maximum value The outliers Submit 33. What is the main use of the GROUP BY clause in SQL? To filter rows To join tables To aggregate data based on columns To sort records Submit 34. Which of the following is a Python library used for machine learning? NumPy Pandas Scikit-learn Seaborn Submit 35. What does the WHERE clause in SQL do? Joins two tables Filters records based on a condition Groups data Aggregates data Submit 36. In Python, what does the DataFrame object represent in the Pandas library? A 2D labeled data structure A 3D data array A list of data A tool for machine learning Submit 37. What is the purpose of the H

11. What is a foreign key in a database? A unique identifier for a record A field that links to a primary key in another table A field that can be left empty A table used for foreign data Submit 12. What is the purpose of the COUNT function in SQL? To find the maximum value To count the number of rows To return the sum of values To find the average value Submit 13. What is the role of a data analyst? Writing machine learning algorithms Interpreting and analyzing data to help business decisions Developing software applications Managing databases Submit 14. What does a VLOOKUP function in Excel do? It returns the smallest value in a range It looks for a value in a column and returns a value from a different column It sorts data by ascending order It averages values from multiple columns Submit 15. What is a JOIN operation in SQL? It filters rows by a condition It combines rows from two or more tables based on a related column It

1. What is a primary key in a database? A unique index for sorting data A unique identifier for a record A field that can be left empty A table used for queries Submit 2. What does SQL stand for? Structured Query Layout Structured Query Language Simple Query Language Standard Query Layout Submit 3. Which Excel function is used to find the average value in a dataset? MAX COUNT AVERAGE MIN Submit 4. What is the purpose of a data warehouse? To store unstructured data To store large amounts of structured data for analysis To perform real-time transaction processing To create visualizations Submit 5. In Python, which library is most commonly used for data manipulation? NumPy Pandas Matplotlib Seaborn Submit 6. What is a data model in database design? A framework for visualizing charts A conceptual framework for how data is stored A tool for building machine learning models A type of data visualization Submit 7.

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Join the Data Enthusiast Community – Now Microsoft Affiliated We Discover Talent is thrilled to share an exciting milestone with you! We are proud to announce that we’ve been awarded the prestigious Microsoft Innovative Educator (MIE) Expert badge. This recognition from Microsoft not only acknowledges our commitment to excellence in education but also strengthens our mission to provide world-class learning experiences. Our institute is now officially affiliated with Microsoft, along with our existing partnerships with Udemy, YouTube, and our own online platform. At We Discover Talent, we are the only educational institute that fosters a community of data enthusiasts, bringing together learners who are passionate about technology, data analytics, and artificial intelligence. Whether you're an aspiring data scientist, a business professional looking to sharpen your Excel skills, or someone interested in the future of Generative AI, we have the right course for you. What We Offer: Co

Excel is an essential tool for business professionals, enabling efficient data management, analysis, and reporting. Key Excel skills for business include organizing large datasets, creating financial models, and generating accurate reports to support decision-making. Professionals can enhance productivity by mastering Excel formulas and functions like VLOOKUP, IF statements, and INDEX-MATCH , which simplify data retrieval, calculations, and complex tasks. With Excel data visualization tools such as charts, graphs, and pivot tables, professionals can transform raw data into clear, easy-to-understand insights. Conditional formatting adds another layer by highlighting trends, anomalies, or critical points in the data, helping users quickly identify key patterns. Excel automation is another valuable feature for professionals looking to save time and minimize errors. Using macros, users can automate repetitive tasks, such as formatting reports, performing calculations, or applying speci

Sharing Video and scripts use the coordinates for New Delhi, India and will display a map centered in India. You can use the Visual Studio version to generate an HTML file, and the Jupyter Notebook version for inline map rendering.  I personally Prefer Visual Studio for PYTHON code or data analysis hence sharing both codes for your reference   i used this in my visual studio and below is snip for your reference adding a code so you can run in your system  # code by discover talent presents import folium # Correct map center at the specified coordinates (New Delhi, India) map_center = (28.6139, 77.2090) # Create the map object mymap = folium.Map(location=map_center, zoom_start=12) # Add a marker at New Delhi, India folium.Marker(     [28.6139, 77.2090],     popup="India",     icon=folium.Icon(color="blue", icon="info-sign")  ).add_to(mymap) # Save the map to an HTML file mymap.save("mymap.html") # Inform the user that the map has been saved print