AI and ML for Business Leaders

Developer: Analytics Vidhya Educon

Category: Education

~50 - 100

1 ratings

ASO Keyword Dashboard

Tracking 98 keywords for AI and ML for Business Leaders in Apple App Store

Developer: Analytics Vidhya Educon Private Limited Category: education Rating: 1

AI and ML for Business Leaders tracks 98 keywords (no keywords rank yet; 98 need traction). Key metrics: opportunity 54.3, difficulty 41.1.

Tracked keywords

0 ranked • 98 not ranking yet

Top 10 coverage

—

Best rank — • Latest leader —

Avg opportunity

54.3

Top keyword: free

Avg difficulty

41.1

Lower scores indicate easier wins

Opportunity leaders

free

Opportunity: 59.0 • Difficulty: 63.5 • Rank —

Competitors: 2,147
89.9
make

Opportunity: 59.0 • Difficulty: 62.7 • Rank —

Competitors: 1,773
88.4
way

Opportunity: 59.0 • Difficulty: 60.3 • Rank —

Competitors: 1,067
83.0
time

Opportunity: 59.0 • Difficulty: 62.9 • Rank —

Competitors: 1,805
88.7
help

Opportunity: 59.0 • Difficulty: 61.1 • Rank —

Competitors: 1,236
85.2

Unranked opportunities

free

Opportunity: 59.0 • Difficulty: 63.5 • Competitors: 2,147
make

Opportunity: 59.0 • Difficulty: 62.7 • Competitors: 1,773
way

Opportunity: 59.0 • Difficulty: 60.3 • Competitors: 1,067
time

Opportunity: 59.0 • Difficulty: 62.9 • Competitors: 1,805
help

Opportunity: 59.0 • Difficulty: 61.1 • Competitors: 1,236

High competition keywords

free

Total apps: 9,480 • Major competitors: 2,147

Latest rank: — • Difficulty: 63.5
time

Total apps: 8,391 • Major competitors: 1,805

Latest rank: — • Difficulty: 62.9
make

Total apps: 8,094 • Major competitors: 1,773

Latest rank: — • Difficulty: 62.7
help

Total apps: 5,873 • Major competitors: 1,236

Latest rank: — • Difficulty: 61.1
create

Total apps: 5,537 • Major competitors: 1,155

Latest rank: — • Difficulty: 60.6

All tracked keywords

Includes opportunity, difficulty, rankings and competitor benchmarks

							Major Competitors
free	59	100	63	90 9,480 competing apps Median installs: 264,750 Avg rating: 4.6	—	—	2,147 major competitor apps
level	58	100	54	78 2,734 competing apps Median installs: 274,625 Avg rating: 4.6	—	—	638 major competitor apps
artificial intelligence	57	100	31	45 99 competing apps Median installs: 179,050 Avg rating: 4.6	—	—	15 major competitor apps
ready	58	100	55	78 2,817 competing apps Median installs: 303,300 Avg rating: 4.6	—	—	704 major competitor apps
right	58	100	63	81 3,793 competing apps Median installs: 282,075 Avg rating: 4.6	—	—	912 major competitor apps
make	59	100	63	88 8,094 competing apps Median installs: 266,850 Avg rating: 4.6	—	—	1,773 major competitor apps
learn	58	100	57	77 2,669 competing apps Median installs: 250,600 Avg rating: 4.6	—	—	552 major competitor apps
organization	57	100	40	49 152 competing apps Median installs: 255,750 Avg rating: 4.7	—	—	31 major competitor apps
way	59	100	60	83 4,665 competing apps Median installs: 271,100 Avg rating: 4.6	—	—	1,067 major competitor apps
time	59	100	63	89 8,391 competing apps Median installs: 259,600 Avg rating: 4.6	—	—	1,805 major competitor apps
exercises	57	100	37	55 283 competing apps Median installs: 216,325 Avg rating: 4.7	—	—	43 major competitor apps
journey	58	100	51	74 1,945 competing apps Median installs: 241,050 Avg rating: 4.7	—	—	379 major competitor apps
help	59	100	61	85 5,873 competing apps Median installs: 257,100 Avg rating: 4.6	—	—	1,236 major competitor apps
various	58	100	50	75 2,177 competing apps Median installs: 229,325 Avg rating: 4.6	—	—	374 major competitor apps
driven	57	100	37	55 280 competing apps Median installs: 241,212 Avg rating: 4.6	—	—	44 major competitor apps
test	58	100	50	73 1,727 competing apps Median installs: 258,500 Avg rating: 4.6	—	—	389 major competitor apps
effective	58	100	40	60 432 competing apps Median installs: 200,750 Avg rating: 4.7	—	—	59 major competitor apps
create	59	100	61	85 5,537 competing apps Median installs: 251,325 Avg rating: 4.6	—	—	1,155 major competitor apps
tools	58	100	53	74 1,836 competing apps Median installs: 246,312 Avg rating: 4.6	—	—	366 major competitor apps
practical	57	100	33	49 143 competing apps Median installs: 225,625 Avg rating: 4.7	—	—	18 major competitor apps
ai	58	100	53	71 1,363 competing apps Median installs: 253,250 Avg rating: 4.6	—	—	284 major competitor apps
strategic	58	100	44	64 661 competing apps Median installs: 265,075 Avg rating: 4.7	—	—	146 major competitor apps
current	58	100	56	81 3,863 competing apps Median installs: 255,000 Avg rating: 4.6	—	—	756 major competitor apps
problem	57	100	36	55 266 competing apps Median installs: 289,675 Avg rating: 4.6	—	—	50 major competitor apps
apply	58	100	55	66 829 competing apps Median installs: 286,275 Avg rating: 4.7	—	—	183 major competitor apps

App Description

This is a completely free course and is for business managers/ leaders who want to understand about the current state of AI and Machine Learning, how they are disrupting businesses globally and in diverse fields, how they might generate impact in your current role and to understand various building blocks of Artificial Intelligence and Machine Learning. It will also explain why it's necessary for you to have a high-level overview of these topics in today's data-driven world.

We will also demonstrate practical case studies in the course that will help you to apply this on your business. There are videos and articles to learn on the go and exercises to test your learning.

By the time you finish the course, you will be ready to apply your newly-acquired knowledge in your current organization. You will be able to make informed strategic decisions for yourself and your business.

The course is divided into modules to make learning easier:

Course Modules:
• Introduction to Artificial Intelligence
• Common Tools, Techniques and Terminologies
• Applications of Artificial Intelligence and Machine Learning In the Real World
• Building AI Capabilities In Your Organization
• Artificial Intelligence Creation Process
• Promises and Challenges of Artificial Intelligence

You will learn the following techniques from the course:
• Common Terminologies
• Common Tools in the Data Science Spectrum
• Overview of Common Techniques
• Understanding of various Machine Learning techniques
• Stages of Model Building and Problem Definition
• Hypothesis Generation
• Data Extraction or Collection
• Data Exploration
• Basics of Model Building
• ML Projects and Model Evaluation

Case Studies of real world applications of Machine learning in the following domains have been covered:

• Banking
• Healthcare
• E-Commerce
• Telecom
• Human Resources
• Sales
• Operations
• Marketing
• Supply Chain

We have also covered how to build AI capability in your organization right from strategy, timelines, roles and keys all the way up to effective AI recruitment

In short, this course will act as a stepping stone in your journey to use data science in your organization to create value

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