Data Science & Analytics Quiz Downloads & RevenueData Science & Analytics Quiz · App Store
Not in any tracked top chart right now.
Updated 4 Nov 2026 · rankings refresh through the day
Data Science & Analytics Quiz update history & changes
Last change · 4 events since 22 Dec 2025Full timeline ↓Full timeline · 4 events
- 🆕Data Science & Analytics Quiz first spotted by AppInsiderIndia (found via developer)
- 🆕Data Science & Analytics Quiz: its developer released another app: Guess Telugu Movies
- 📦Data Science & Analytics Quiz version 1.3.0AI issue fixed
- 🆕Data Science & Analytics Quiz released on the App Store
Collected from the stores by AppInsider since we first spotted the app. Dates are when we saw each change.
Data Science & Analytics Quiz on the App Store
App details
Data Science & Analytics Quiz downloads
Worldwide, per day, and installs to date. The band is open; the exact number is free with an account.
How this is calculated
Active users
All platforms, worldwide. Free with an account.
How this is calculated
Business model: Ad-led
How Data Science & Analytics Quiz makes money: subscriptions, one-off purchases and ads.
Where it ranks now
Every top chart it appears in across 30 countries.
| Country | Charts | Rank |
|---|---|---|
| Not charting right now. | ||
Ratings
App Store, worldwide.
Review momentum
ⓘ How we measure thisReview momentum (0-100) blends how fast the app collects ratings compared with other apps in its category (60%), whether that pace is speeding up (25%) and what recent raters give it (15%; recent stars well below lifetime pull it down). Ratings counts are read daily. A jump usually means a launch, a feature, ads or a new review prompt.
About Data Science & Analytics Quiz
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, ensuring a personalized and engaging learning experience.
AI Quiz Explanation: Understand your mistakes with detailed, AI-powered explanations. Get clear, step-by-step breakdowns of correct answers to deepen your conceptual understanding and improve faster.
Improve Session: The Improve Session feature lets you replay only incorrectly answered questions, helping you focus and strengthen your weak areas efficiently.
AI-Powered Mock Interview Sessions:
Prepare for real data science interviews based on job roles such as Data Analyst, Data Scientist, Machine Learning Engineer, BI Developer, and mor