Learn Python Data Science vs DP
Price, ratings, monetisation and update history for both apps, side by side ā with what reviewers say about each.
Learn Python Data Science
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Learn Python Data Science: Math & Analytics Master data science with Python through a complete math and analytics course. Designed for aspiring data scientists, machine learning engineers, and analysts, this app provides the essential mathematical foundations with hands-on Python coding. What You'll Learn ⢠Python programming for data analysis & machine learning ⢠Linear algebra: vectors, matrices, eigenvalues & decomposition ⢠Calculus essentials: limits, derivatives & differential equations ⢠3D geometry, coordinate systems & spatial analysis ⢠Complex numbers & advanced mathematical theorems ⢠Core mathematical concepts every data scientist needs Complete Learning Experience ⢠21 structured chapters covering all math foundations ⢠Math concepts explained side-by-side with Python code ⢠Quick reference guide for data science formulas ⢠200+ topics and practice coding examples ⢠200+ interactive quizzes to test your knowledge User-Friendly Features ⢠Dark & light themes for comfortable study ⢠Offline learning ā no internet required ⢠Search across all math & Python topics ⢠Bookmark key formulas & concepts ⢠Clean, distraction-free interface ⢠Detailed code examples with explanations Perfect For ⢠Students preparing for data science bootcamps & degrees ⢠Professionals transitioning into AI/ML careers ⢠Software engineers learning data analysis skills ⢠Business analysts upgrading to data scientist roles Key Topics Covered ⢠Vector Basics & Projections ⢠Vector Products ⢠Matrices & Matrix Decomposition ⢠Systems of Linear Equations ⢠2D & 3D Geometry (lines, planes, coordinates, intersections) ⢠Limits, Functions & Differentiation Techniques ⢠Higher-Order Derivatives & Theorems ⢠Behavior of Functions & Extrema ⢠Complex Numbers and more Transform your career with Python data science skills ā from mathematical foundations to advanced analytics!
DP
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Master the DP-900 certification with the most complete prep app for the exam. A brand-new, rewritten-from-scratch course covering all 4 official domains, paired with 600+ exam-style questions and an integrated AI Tutor. KEY FEATURES: Complete Updated Syllabus (NEW!) All 4 official DP-900 domains rewritten from scratch with the latest exam objectives. 60 in-depth study guides covering core data concepts (ACID, OLAP vs OLTP, ETL vs ELT, batch vs streaming, Star Schema, data governance, data warehouse vs data lake), relational data on the cloud platform (managed SQL services, PaaS vs IaaS, T-SQL, DDL/DML, HA + replication, scaling), non-relational data (blob storage, data lakes, file storage, NoSQL document/graph databases, partitioning, redundancy options, multi-region distribution), and analytics workloads (data pipelines, Spark notebooks, stream analytics, modern lakehouse + warehouse architecture, KQL, BI tools, data activator, AI assistants for data). AI Tutor Get instant explanations for any question. Our integrated AI breaks down concepts based on your actual answer, with follow-up questions supported. 600+ Exam Questions Aligned with current DP-900 objectives across all 4 domains. Timed Mock Exams Quick 25-question sprints or full simulations with a real timer ā just like exam day. Study Streak System Build a daily habit. Track consecutive days, earn rewards, stay motivated. Detailed Progress Tracking Per-domain gauges, "ready to take the exam" threshold, and weak-point insights. Native Dark Mode Easy on the eyes for late-night study sessions. Review Mistakes Detailed explanations for every question you missed. Unlock by Progress New domains open as you master earlier ones ā pace yourself naturally. Optional Premium Ad-free, full offline mode, unlimited AI tutor access. DOMAINS COVERED: ⢠Core data concepts ⢠Relational data on the cloud platform ⢠Non-relational data on the cloud platform ⢠Analytics workloads on the cloud platform Whether you're a junior data analyst learning the fundamentals, a developer transitioning into data engineering, or a business user wanting to understand modern data platforms, this app helps you study efficiently and stay motivated. Start practicing now and get certified! DP-900 is a certification trademark of its respective owner. This app is not affiliated with, endorsed by, or sponsored by the certification vendor. Standard Apple Terms of Use (EULA): https://www.apple.com/legal/internet-services/itunes/dev/stdeula/
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Verdict
The clearest difference is price: DP at Free against Learn Python Data Science's $4.99. DP also leads on update cadence (every 2 weeks vs every 2 months). Learn Python Data Science's advantage is in-app purchases (none vs 3) and ads (none vs shown). On device support and iOS requirement there is nothing between them.
Scored on Price Ā· Rating Ā· Positive reviews Ā· Number of ratings Ā· Update frequency Ā· Ads Ā· In-app purchases Ā· Monetization Ā· Best chart rank Ā· Devices Ā· Requires iOS
DP is free to download; Learn Python Data Science costs $4.99 up front. DP sells 3 in-app purchases, starting at $1.99 per 7 days. Learn Python Data Science asks for nothing beyond the download.
Learn Python Data Science ships an update every 2 months, DP every 2 weeks. The most recent releases landed on October 12, 2026 and October 4, 2026 respectively.
| Parameter | Learn Python Data Science | DP |
|---|---|---|
| Price | $4.99 | Free ā better |
| Update frequency | Every 2 months | Every 2 weeks ā better |
| Ads | No ā better | Yes |
| In-app purchases | No ā better | Yes |
| Devices | iPhone, iPad, Mac ā better | iPhone, iPad |
| Requires iOS | 17.0 ā better | 18.0 |
| Further details ā not scored | ||
| Size | 18 MB | 88 MB |
| Age rating | 4+ | 12+ |
| Developer | ALG Software Lab | Oriol Della |
In-app purchases
Learn Python Data Science
No in-app purchases
DP
- week_sub_dp900$1.997 Days
- DP-900 Monthly$6.991 Month
- one_time_buy_dp900$13.99
Questions
Is Learn Python Data Science free?
Is DP free?
Do Learn Python Data Science or DP have ads?
Which is updated more often, Learn Python Data Science or DP?
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