Data Science & Analytics Quiz

Data Science & Analytics Quiz
Developer: Shameel Abid
Category: Education
150 installs
3.00 ratings
17 monthly active users
$<10K monthly revenue est.
IAP 70% · Ad 30%
Install Trends
Monthly +51
Steady

Data Science & Analytics Quiz Summary

Data Science & Analytics Quiz is a ad-supported, with in-app purchases iOS app in Education by Shameel Abid. Released in Dec 2025 (3 months ago). It has 3.00 ratings with a 4.51★ (excellent) average. Based on AppGoblin estimates, it reaches roughly 17 monthly active users and generates around $<10K monthly revenue (70% IAP / 30% ads). Store metadata: updated Dec 24, 2025.

Store info: Last updated on App Store on Dec 24, 2025 .


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App Description

Master the world of data with our comprehensive quiz app, designed for aspiring analysts, data scientists, and seasoned professionals. Elevate your expertise in Data Analysis, Machine Learning, Statistics, SQL, and the essential tools and libraries that power the industry. Whether you're starting your data journey or refining advanced techniques, our app offers a structured path to test and enhance your knowledge, now supercharged with cutting-edge AI and collaborative features.

Data Science & Analytics Topics:

Statistics & Mathematics: Build the foundational bedrock of data science. This category covers probability, descriptive and inferential statistics, hypothesis testing, regression, and linear algebra—essential for making data-driven decisions.

Data Wrangling & Preprocessing: Master the art of preparing data for analysis. Learn techniques for handling missing values, data cleaning, transformation, normalization, and feature engineering to ensure high-quality datasets.

Data Visualization: Learn to tell compelling stories with data. This section focuses on principles of effective visualization and the use of libraries like Matplotlib, Seaborn, and Plotly to create insightful charts and dashboards.

Machine Learning: Dive deep into predictive modeling. Understand core concepts from supervised learning (regression, classification) to unsupervised learning (clustering, dimensionality reduction), and model evaluation metrics.

SQL & Databases: Grasp the language of data querying. This category covers from basic SELECT queries and JOINs to advanced window functions and database management, equipping you to extract insights from relational databases.

Big Data & Cloud Analytics: Tackle modern, scalable data challenges. Explore concepts in distributed computing, cloud platforms (AWS, GCP, Azure), and tools like Spark and Hadoop for handling large-scale data.

Other Core Topics:

Business Intelligence (BI) & Reporting: Translate data into business value. Explore key BI tools (e.g., Tableau, Power BI), dashboard creation, and KPI tracking to drive strategic decisions.

Essential Data Science Libraries & Tools: Master the toolkit of a modern data professional.
Dive into subtopics including:

Pandas & NumPy
Scikit-learn
TensorFlow/PyTorch
Apache Spark
Jupyter Notebooks

Key Features:

AI Quiz Generation: Our AI creates unique questions across all categories, e