Analytics Vidhya
ASO Keyword Dashboard
Tracking 123 keywords for Analytics Vidhya in Apple App Store
Analytics Vidhya tracks 123 keywords (1 keyword ranks; 122 need traction). Key metrics: 0% top-10 coverage, opportunity 70.1, difficulty 38.1, best rank 123.
Tracked keywords
123
1 ranked • 122 not ranking yet
Top 10 coverage
0%
Best rank 123 • Latest leader —
Avg opportunity
70.1
Top keyword: path
Avg difficulty
38.1
Lower scores indicate easier wins
Opportunity leaders
- 67.0
path
Opportunity: 73.0 • Difficulty: 41.6 • Rank —
Competitors: 258
- 67.3
case
Opportunity: 73.0 • Difficulty: 41.6 • Rank —
Competitors: 177
- 68.0
calculate
Opportunity: 73.0 • Difficulty: 41.7 • Rank —
Competitors: 104
- 63.6
decision
Opportunity: 73.0 • Difficulty: 39.1 • Rank —
Competitors: 86
- 67.5
started
Opportunity: 73.0 • Difficulty: 42.0 • Rank —
Competitors: 251
Unranked opportunities
path
Opportunity: 73.0 • Difficulty: 41.6 • Competitors: 258
case
Opportunity: 73.0 • Difficulty: 41.6 • Competitors: 177
calculate
Opportunity: 73.0 • Difficulty: 41.7 • Competitors: 104
decision
Opportunity: 73.0 • Difficulty: 39.1 • Competitors: 86
started
Opportunity: 73.0 • Difficulty: 42.0 • Competitors: 251
High competition keywords
time
Total apps: 189,069 • Major competitors: 4,102
Latest rank: — • Difficulty: 54.6
help
Total apps: 162,314 • Major competitors: 3,378
Latest rank: — • Difficulty: 54.5
easy
Total apps: 140,991 • Major competitors: 2,826
Latest rank: — • Difficulty: 52.8
using
Total apps: 114,205 • Major competitors: 2,209
Latest rank: — • Difficulty: 52.7
simple
Total apps: 109,632 • Major competitors: 2,072
Latest rank: — • Difficulty: 51.5
All tracked keywords
Includes opportunity, difficulty, rankings and competitor benchmarks
| Major Competitors | |||||||
|---|---|---|---|---|---|---|---|
| machine learning | 71 | 100 | 34 | 54 1,655 competing apps Median installs: 300 Avg rating: 4.2 | 130 | 123 | 30 major competitor apps |
| top | 69 | 100 | 50 | 78 46,479 competing apps Median installs: 550 Avg rating: 4.2 | — | — | 1,483 major competitor apps |
| artificial intelligence | 72 | 100 | 37 | 61 4,599 competing apps Median installs: 400 Avg rating: 4.1 | — | — | 58 major competitor apps |
| right | 67 | 100 | 53 | 82 90,095 competing apps Median installs: 400 Avg rating: 4.2 | — | — | 2,210 major competitor apps |
| easy | 66 | 100 | 53 | 86 140,991 competing apps Median installs: 400 Avg rating: 4.1 | — | — | 2,826 major competitor apps |
| easy steps | 69 | 100 | 32 | 46 567 competing apps Median installs: 450 Avg rating: 4.2 | — | — | 12 major competitor apps |
| support | 67 | 100 | 51 | 82 83,707 competing apps Median installs: 400 Avg rating: 4.2 | — | — | 1,605 major competitor apps |
| learn | 67 | 100 | 51 | 81 78,920 competing apps Median installs: 400 Avg rating: 4.2 | — | — | 1,487 major competitor apps |
| scientist | 69 | 100 | 27 | 44 419 competing apps Median installs: 550 Avg rating: 4.2 | — | — | 10 major competitor apps |
| scientists | 70 | 100 | 30 | 48 815 competing apps Median installs: 500 Avg rating: 4.1 | — | — | 15 major competitor apps |
| using | 66 | 100 | 53 | 84 114,205 competing apps Median installs: 450 Avg rating: 4.1 | — | — | 2,209 major competitor apps |
| time | 65 | 100 | 55 | 88 189,069 competing apps Median installs: 400 Avg rating: 4.1 | — | — | 4,102 major competitor apps |
| help | 65 | 100 | 55 | 87 162,314 competing apps Median installs: 400 Avg rating: 4.2 | — | — | 3,378 major competitor apps |
| video | 69 | 100 | 50 | 78 49,641 competing apps Median installs: 550 Avg rating: 4.1 | — | — | 1,319 major competitor apps |
| tree | 72 | 100 | 36 | 58 2,890 competing apps Median installs: 450 Avg rating: 4.2 | — | — | 68 major competitor apps |
| path | 73 | 100 | 42 | 67 10,782 competing apps Median installs: 400 Avg rating: 4.3 | — | — | 258 major competitor apps |
| understanding | 72 | 100 | 42 | 70 15,788 competing apps Median installs: 300 Avg rating: 4.3 | — | — | 131 major competitor apps |
| test | 69 | 100 | 48 | 77 42,165 competing apps Median installs: 500 Avg rating: 4.2 | — | — | 964 major competitor apps |
| students | 72 | 100 | 43 | 71 18,889 competing apps Median installs: 300 Avg rating: 4.1 | — | — | 102 major competitor apps |
| complete | 68 | 100 | 50 | 81 72,900 competing apps Median installs: 450 Avg rating: 4.2 | — | — | 1,698 major competitor apps |
| comprehensive | 69 | 100 | 47 | 77 41,013 competing apps Median installs: 300 Avg rating: 4.3 | — | — | 396 major competitor apps |
| provides | 68 | 100 | 49 | 81 72,281 competing apps Median installs: 300 Avg rating: 4.1 | — | — | 802 major competitor apps |
| quality | 68 | 100 | 50 | 79 58,887 competing apps Median installs: 400 Avg rating: 4.2 | — | — | 1,153 major competitor apps |
| analytics | 72 | 100 | 37 | 62 5,018 competing apps Median installs: 250 Avg rating: 4.3 | — | — | 54 major competitor apps |
| simple | 66 | 100 | 52 | 84 109,632 competing apps Median installs: 350 Avg rating: 4.2 | — | — | 2,072 major competitor apps |
App Description
We aim to help you learn concepts of data science, machine learning, deep learning, big data & artificial intelligence (AI) in the most interactive manner from the basics right up to very advanced levels.
Analytics Vidhya app provides high quality learning resources for data science professionals, data engineers and students who want to study data science and machine learning algorithms, along with codes.
Some of the popular posts on the app
• A Comprehensive Learning Path for Deep Learning in 2019
• The Ultimate Learning Path to Become a Data Scientist and Master Machine Learning in 2019
• A Complete Tutorial to Learn Data Science with Python from Scratch
• Essentials of Machine Learning Algorithms (with Python and R Codes)
• An Introduction to Implementing Neural Networks using TensorFlow
• A Complete Guide on Getting Started with Deep Learning in Python
• Tips and Tricks to Ace Data Science Interviews
• 7 Types of Regression Techniques you should know!
• A Complete Tutorial on Ridge and Lasso Regression in Python
• Deep Learning Tutorial to Calculate the Screen Time of Actors in any Video (with Python codes)
• Comprehensive Introduction to Apache Spark, RDDs & Dataframes (using PySpark)
• A Simple Introduction to Facial Recognition (with Python codes)
• 30 Questions to test your understanding of Logistic Regression
• A Complete Tutorial on Tree Based Modeling from Scratch in R & Python
• The most comprehensive Data Science learning plan
• 6 Easy Steps to Learn Naive Bayes Algorithm (with codes in Python and R)
• Top 28 Cheat Sheets for Machine Learning, Data Science, Probability, SQL & Big Data
• Solving Multi-Label Classification problems (Case studies included)
• Understanding Support Vector Machine algorithm from examples (along with code)
• Architecture of Convolutional Neural Networks (CNNs) demystified
• Complete Guide to Parameter Tuning in XGBoost (with codes in Python)
• Practicing Machine Learning Techniques in R with MLR Package
• Heroes of Deep Learning: Top Takeaways for Aspiring Data Scientists from Andrew Ng’s Interview Series
Machine Learning and Deep Learning Algorithms:
• Linear and Logistic Regressions
• NaiveBayes
• Neural Networks
• Decision Trees
• Convolutio