AI and ML for Business Leaders

Developer: Analytics Vidhya Educon

Category: Education

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50 installs

1.00 ratings

2.00 monthly active users

Revenue not available

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 70.5, difficulty 41.3.

Tracked keywords

0 ranked • 98 not ranking yet

Top 10 coverage

—

Best rank — • Latest leader —

Avg opportunity

70.5

Top keyword: organization

Avg difficulty

41.3

Lower scores indicate easier wins

Opportunity leaders

organization

Opportunity: 73.0 • Difficulty: 41.2 • Rank —

Competitors: 79
67.1
exercises

Opportunity: 73.0 • Difficulty: 40.0 • Rank —

Competitors: 133
65.6
driven

Opportunity: 73.0 • Difficulty: 39.9 • Rank —

Competitors: 110
65.7
practical

Opportunity: 73.0 • Difficulty: 41.1 • Rank —

Competitors: 98
67.4
strategic

Opportunity: 73.0 • Difficulty: 42.9 • Rank —

Competitors: 427
67.2

Unranked opportunities

organization

Opportunity: 73.0 • Difficulty: 41.2 • Competitors: 79
exercises

Opportunity: 73.0 • Difficulty: 40.0 • Competitors: 133
driven

Opportunity: 73.0 • Difficulty: 39.9 • Competitors: 110
practical

Opportunity: 73.0 • Difficulty: 41.1 • Competitors: 98
strategic

Opportunity: 73.0 • Difficulty: 42.9 • Competitors: 427

High competition keywords

time

Total apps: 189,069 • Major competitors: 4,102

Latest rank: — • Difficulty: 54.6
free

Total apps: 176,362 • Major competitors: 5,392

Latest rank: — • Difficulty: 55.2
help

Total apps: 162,314 • Major competitors: 3,378

Latest rank: — • Difficulty: 54.5
make

Total apps: 158,146 • Major competitors: 4,097

Latest rank: — • Difficulty: 54.1
create

Total apps: 130,990 • Major competitors: 3,375

Latest rank: — • Difficulty: 54.1

All tracked keywords

Includes opportunity, difficulty, rankings and competitor benchmarks

							Major Competitors
free	65	100	55	87 176,362 competing apps Median installs: 650 Avg rating: 4.2	—	—	5,392 major competitor apps
level	68	100	50	79 56,092 competing apps Median installs: 500 Avg rating: 4.2	—	—	1,629 major competitor apps
artificial intelligence	72	100	37	61 4,599 competing apps Median installs: 400 Avg rating: 4.1	—	—	58 major competitor apps
ready	68	100	50	79 57,395 competing apps Median installs: 500 Avg rating: 4.2	—	—	1,784 major competitor apps
right	67	100	53	82 90,095 competing apps Median installs: 400 Avg rating: 4.2	—	—	2,210 major competitor apps
make	65	100	54	86 158,146 competing apps Median installs: 450 Avg rating: 4.1	—	—	4,097 major competitor apps
learn	67	100	51	81 78,920 competing apps Median installs: 400 Avg rating: 4.2	—	—	1,487 major competitor apps
organization	73	100	41	67 10,879 competing apps Median installs: 200 Avg rating: 4.1	—	—	79 major competitor apps
way	66	100	53	84 115,859 competing apps Median installs: 400 Avg rating: 4.2	—	—	2,694 major competitor apps
time	65	100	55	88 189,069 competing apps Median installs: 400 Avg rating: 4.1	—	—	4,102 major competitor apps
exercises	73	100	40	66 8,840 competing apps Median installs: 450 Avg rating: 4.4	—	—	133 major competitor apps
journey	69	100	49	79 53,404 competing apps Median installs: 350 Avg rating: 4.4	—	—	1,082 major competitor apps
help	65	100	55	87 162,314 competing apps Median installs: 400 Avg rating: 4.2	—	—	3,378 major competitor apps
various	69	100	48	78 48,581 competing apps Median installs: 500 Avg rating: 4.1	—	—	1,134 major competitor apps
driven	73	100	40	66 8,898 competing apps Median installs: 300 Avg rating: 4.4	—	—	110 major competitor apps
test	69	100	48	77 42,165 competing apps Median installs: 500 Avg rating: 4.2	—	—	964 major competitor apps
effective	72	100	43	71 17,937 competing apps Median installs: 350 Avg rating: 4.2	—	—	223 major competitor apps
create	66	100	54	85 130,990 competing apps Median installs: 450 Avg rating: 4.2	—	—	3,375 major competitor apps
tools	70	100	47	76 36,337 competing apps Median installs: 450 Avg rating: 4.2	—	—	814 major competitor apps
practical	73	100	41	67 11,331 competing apps Median installs: 250 Avg rating: 4.2	—	—	98 major competitor apps
ai	69	100	50	79 53,233 competing apps Median installs: 350 Avg rating: 4.3	—	—	918 major competitor apps
strategic	73	100	43	67 11,075 competing apps Median installs: 600 Avg rating: 4.2	—	—	427 major competitor apps
current	68	100	51	81 73,078 competing apps Median installs: 600 Avg rating: 4.2	—	—	2,103 major competitor apps
problem	73	100	40	65 8,487 competing apps Median installs: 450 Avg rating: 4.1	—	—	180 major competitor apps
apply	72	100	48	70 16,159 competing apps Median installs: 550 Avg rating: 4.1	—	—	545 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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