[100% Off] Certified Professional Data Science Through Practice Test

Ace Your Data Science Interview: Python, R, SQL, Machine Learning, and AI Questions Explained

Added on December 29, 2025 Development 3 min read

What you’ll learn

Query and manipulate data using SQL for database analysis.
Apply Python libraries like Pandas and Scikit-learn for data science tasks.
Perform statistical analysis and modeling using R programming.
Understand machine learning concepts like supervised and unsupervised learning.
Explore artificial intelligence fundamentals and their applications.
Build confidence in data cleaning
analysis
and model evaluation techniques.

Requirements

Basic computer skills and familiarity with spreadsheets or databases.
No prior programming experience needed; beginner-friendly content.
Access to a computer with Python
R
or SQL tools installed (free versions work).
A desire to learn data science and machine learning concepts.

Description

IMPORTANT: This course contains Practice Tests only. It does not contain video tutorials. These tests are designed to assess your Full-Stack Data Science skills and prepare you for technical interviews.

Data Science is the most competitive field in Tech.

To land a job today, you cannot just rely on Python. You need to query databases with SQL, perform statistical analysis in R, and build predictive models using Machine Learning algorithms. The modern Data Scientist is a “Jack of all trades.”

Are you ready for the Technical Screening?

Can you write a complex SQL Join to merge three datasets? Do you know the difference between a Data Frame in R and a Data Frame in Python? Can you identify Overfitting in a Neural Network?

Welcome to the MOHNAS Data Science Proficiency Exam.

This course is comprehensive. We don’t just test one tool; we test the entire ecosystem. Whether you are preparing for a specific certification (like IBM or Microsoft) or just want to crack a job interview, these tests will prove your readiness.

What to expect in this course:
This course consists of 3 Full-Length Practice Tests (60 Questions Total) covering the three pillars of Data Science.

Data Wrangling & Databases. (SQL Queries, Joins, Aggregations, Data Cleaning in Python/Pandas).
Statistical Analysis & Programming. (R Syntax, Python Syntax, Hypothesis Testing, and Statistical distributions).
Machine Learning & AI. (Supervised vs. Unsupervised Learning, Model Tuning, Scikit-learn, and Neural Networks).

Topics covered in these questions:

SQL Mastery: SELECT, GROUP BY, Window Functions, and Database Normalization.
Python for Data: using Pandas and NumPy for manipulation, and Matplotlib for visualization.
R Programming: Using the Caret package, Data frames, and vector operations.
Machine Learning: Regression, Classification (Decision Trees, KNN), Clustering (K-Means), and Dimensionality Reduction (PCA).
Artificial Intelligence: Basics of Neural Networks, Deep Learning concepts, and Model Evaluation (Confusion Matrix, ROC/AUC).
Best Practices: Cross-Validation, Feature Engineering, and Handling Missing Data.

Why take these Practice Tests?

The “Polyglot” Advantage: Most interviews allow you to choose Python or R. We test you on both (or allow you to skip the one you don’t use), ensuring you are versatile.
SQL is Mandatory: 90% of Data Science interviews start with a SQL whiteboard question. We ensure your SQL skills are sharp.
Detailed Explanations: We explain the logic behind the ML algorithms, so you understand why a model behaves the way it does.

Who is this course for?

Aspiring Data Scientists preparing for their first role.
Data Analysts wanting to transition into Machine Learning.
Students preparing for university finals or certifications.
Developers looking to understand the math behind the code.

What does this course offer you?

3 Comprehensive Practice Sets: 60 High-Quality Questions.
Scenario-Based Questions: “You have an imbalanced dataset. Which metric should you use?”
Instant Feedback: Identify your weak spots immediately.
Lifetime Access: Study at your own pace.

Don’t just analyze data. Predict the future.
Master the tools that drive the modern economy. Enroll today with MOHNAS and validate your expertise as a Certified Data Science Professional.