Basics of Data Science MCQs

By: Prof. Dr. Fazal Rehman | Last updated: August 6, 2024

Solved MCQs of Basics of Data Science with answers.

Which of the following approach should be trying to ask a Data Analysis question?

(A). Finding the question which is to be answered

(B). Finding only one solution for a specific problem

(C). Finding out the answer from the  dataset without enquiring any question

(D). None of these

MCQ Answer: a

---

Which of the following is the wrong statement.

(A). Merging concerns combining datasets on the same observations to produce a result with more variables

(B). Sub-setting can be helpful to select and ignore variables and observations

(C). Data visualization is the organization of information according to preset specifications

(D). All of these

(E). None of these

MCQ Answer: c

---

What is a significant characteristic of a hacker?

(A). Fearful to say they don’t know the answer

(B). Not Ready and not willing to search for answers on their own

(C). Ready and Willing to search for answers on their own

(D). All of these

(E). None of these

MCQ Answer: c

---

What is the characteristic of Processed Data?

(A). Data is not ready for analysis

(B). Difficult to use for data analysis

(C). All steps should be noted

(D). None of these

MCQ Answer: c

---

Which is performed by a Data Scientist?

(A). Defining the question

(B). Creating reproducible code

(C). Challenging the results

(D). All of these

(E). None of these

MCQ Answer: d

---

It’s only one time that the raw data should be processed.

(A). False

(B). True

(C). Partially True

MCQ Answer: a

---

Which of the following is the correct statement.

(A). Preprocessed data is original source of data

(B). Raw data is original source of data

(C). Raw data is the data obtained after processing steps

(D). None of these

MCQ Answer: b

---

Which is one of the significant data science skills?

(A). Statistics

(B). Machine Learning

(C). Data Visualization

(D). All of these

(E). None of these

MCQ Answer: d

---

Which is the most significant language for Data Science?

(A). R

(B). Ruby

(C). Java

(D). None of these

MCQ Answer: a

More Next Data Mining MCQs

1. Repeated Data Mining MCQs
2. Classification in Data mining MCQs
3. Clustering in Data mining MCQs
4. Data Analysis and Experimental Design MCQs
5. Basics of Data Science MCQs
6. Big Data MCQs
7. Caret Data Science MCQs 
8. Binary and Count Outcomes MCQs
9. CLI and Git Workflow

 

1. Data Preprocessing MCQs
   • Data Cleaning MCQs
   • Data Integration MCQs
   • Data Transformation MCQs
   • Data Reduction MCQs
2. Data Warehousing and OLAP MCQs
   • Data Warehouse Architecture MCQs
   • Online Analytical Processing (OLAP) MCQs
   • Data Cube Technology MCQs
3. Association Rule Learning MCQs
   • Apriori Algorithm MCQs
   • Eclat Algorithm MCQs
   • FP-Growth Algorithm MCQs
   • Market Basket Analysis MCQs
4. Classification
   • Decision Trees MCQs
   • Naive Bayes MCQs
   • k-Nearest Neighbors (k-NN) MCQs
   • Support Vector Machines (SVM) MCQs
   • Neural Networks MCQs
5. Clustering
   • k-Means Clustering MCQs
   • Hierarchical Clustering MCQs
   • DBSCAN MCQs
   • Mean Shift MCQs
6. Regression MCQs
7. Anomaly Detection MCQs
8. Text Mining and Natural Language Processing (NLP) MCQs
   • Text Preprocessing MCQs
   • Sentiment Analysis MCQs
9. Web Mining MCQs
   • Web Content Mining MCQs
   • Web Structure Mining MCQs
   • Web Usage Mining MCQs
10. Sequential Pattern Mining MCQs
11. Time Series Analysis MCQs

Data Mining Algorithms and Techniques MCQs

13. Frequent Itemset Mining MCQs
    • Apriori Algorithm MCQs
    • FP-Growth Algorithm MCQs
    • Eclat Algorithm MCQs
14. Dimensionality Reduction MCQs
15. Ensemble Methods MCQs
16. Data Mining Tools and Software MCQs
    • WEKA MCQs
    • RapidMiner MCQs
    • KNIME MCQs
    • Orange MCQs
17. Python  Programming for Data Mining MCQs (Pandas, NumPy, Scikit-Learn)
18. R Programming for Data Mining(dplyr, ggplot2, caret) MCQs
19. SQL Programming for Data Mining for Data Mining MCQs
20. Big Data Technologies MCQs
    • Hadoop and MapReduce  MCQs
    • Spark MCQs
    • NoSQL Databases (e.g., MongoDB, Cassandra) MCQs