SkillCensus

https://www.youtube.com/@coursera

Coursera 2023 Global Skills Report

https://www.coursera.org/skills-reports/global

Cutting-edge 75%-100%	Competitive 50%-75%	Limited 25%-50%	Lagging 0%-25%
1 Switzerland	26 South Korea	51 Hungary	76 Qatar
2 Spain	27 Czech Republic	52 Rwanda	77 Zimbabwe
3 Germany	28 Brazil	53 Bahrain	78 United States
4 Luxembourg	29 Botswana	54 Romania	79 Sri Lanka
5 Japan	30 Argentina	55 Vietnam	80 Nepal
6 Indonesia	31 Kazakhstan	56 New Zealand	81 Lithuania
7 Slovakia	32 United Arab Emirates	57 Oman	82 Canada
8 The Netherlands	33 Serbia	58 Zambia	83 Thailand
9 France	34 China	59 Australia	84 Myanmar
10 Belgium	35 Armenia	60 India	85 Venezuela
11 Denmark	36 Croatia	61 Egypt	86 South Africa
12 Italy	37 Cyprus	62 Bolivia	87 Tunisia
13 Sweden	38 Peru	63 Dominican Republic	88 Yemen
14 Austria	39 Turkey	64 United Kingdom	89 Uzbekistan
15 Ukraine	40 Taiwan	65 Lebanon	90 Uganda
16 Singapore	41 Saudi Arabia	66 Morocco	91 Algeria
17 Finland	42 Costa Rica	67 Malaysia	92 Pakistan
18 Bulgaria	43 Chile	68 Ireland	93 Somalia
19 Colombia	44 Azerbaijan	69 Kuwait	94 Palestinian Territories
20 Hong Kong	45 Ecuador	70 Jordan	95 Iraq
21 Belarus	46 Israel	71 Latvia	96 Sudan
22 Norway	47 Uruguay	72 Ethiopia	97 Ghana
23 Greece	48 Cameroon	73 Bangladesh	98 Kenya
24 Poland	49 Georgia	74 Estonia	99 The Philippines
25 Mexico	50 Portuga	75 Côte d’Ivoire	100 Nigeria

Regional Skill Proficiencies-Asia Pacific

APAC’s STRENGTHS AND OPPORTUNITIES:

Seven APAC countries attain an overall cutting-edge skill proficiency score—including Japan, Indonesia, Singapore, Hong Kong, and South Korea. However, there is considerable variation across countries in the region when it comes to specific skill domains. For business skills like finance and entrepreneurship, Hong Kong (85%) and Singapore (79%) lead the region. For technology skills, Indonesia (98%) leads, followed by Kazakhstan (96%) and Japan (92%) while Indonesia (100%), Japan (98%), and Hong
Kong (94%) lead the region in data science skills.

APAC’s OVER-INDEXING SKILLS:

APAC learners are more likely than learners in other regions to invest in AI-related skills like applied machine learning (1.15x), machine learning algorithms (1.14x), deep learning (1.14x) and artificial neural networks
(1.14x). Only one of the top five over-indexing business skills for the region is related to leadership, people analysis (1.22x), while other over-indexing skills relate to finance, such as investment management (1.28x) and fintech (1.2x)

GLOBAL RANK	BUSINESS 41%	TECHNOLOGY 49%	DATA SCIENCE 52%
5 Japan	27%	92%	98%
6 Indonesia	1%	98%	100%
16 Singapore	79%	77%	79%
20 Hong Kong	85%	54%	94%
26 South Korea	63%	70%	88%
31 Kazakhstan	14%	96%	58%
34 China	75%	24%	93%
37 Cyprus	69%	63%	61%
40 Taiwan	57%	48%	78%
55 Vietnam	62%	37%	47%
56 New Zealand	42%	51%	52%
59 Australia	36%	45%	55%
60 India	52%	52%	34%
67 Malaysia	43%	46%	33%
73 Bangladesh	15%	68%	29%
79 Sri Lanka	18%	51%	28%
80 Nepal	12%	34%	49%
83 Thailand	34%	25%	22%
84 Myanmar	17%	39%	19%
89 Uzbekistan	5%	53%	17%
92 Pakistan	22%	10%	8%
99 The Philippines	16%	5%	1%

INDIA’s STRENGTHS AND OPPORTUNITIES:

Learner performance levels vary significantly between states, resulting
in lower overall scores for the nation. Learners demonstrate high business
skill proficiency, earning cutting-edge scores in skills like communication (76%) and human resources (88%). Learners also score highly in technology, earning cutting-edge proficiency scores in mobile development (84%), and they are competitive in theoretical computer science (68%), web development (54%), software engineering (51%) and cloud computing (73%). Data science represents the greatest opportunity for improvement.

India’s Global Rankings and Skill Proficiency Levels

BUSINESS Rank 49	TECHNOLOGY Rank 49	DATA SCIENCE Rank 67
Accounting 15%	Cloud Computing 73%	Data Analysis 37%
Communication 76%	Computer Networking 40%	Data Management 38%
Entrepreneurship 40%	Computer Programming 30%	Data Visualization 46%
Finance 64%	Databases 18%	Machine Learning 42%
Human Resources 88%	Mobile Development 84%	Mathematics 51%
Leadership & Management 28%	Operating Systems 15%	Probability & Statistics 19%
Marketing 47%	Security Engineering 31%	Statistical Programming 33%
Sales 46%	Software Engineering 51%	x
Strategy & Operations 26%	Theoretical Computer Science 68%	x
x	Web Development 54%	x

INDIA’s OVER-INDEXING SKILLS

Indian learners are more likely to be developing AI- related skills than learners in most countries, over-indexing on artificial neural networks (1.15x), applied machine learning (1.2x), and machine learning algorithms (1.2x). In the field of business, learners particularly uniquely favor courses in data visualization software (1.59x), blockchain (1.58x), and supply chain systems (1.55x).

Top Over-Indexing Skills

BUSINESS	TECHNOLOGY	DATA SCIENCE
Data Visualization Software (1.59x)	Software Architecture (1.31x)	Applied Machine Learning (1.2x)
Blockchain (1.58x)	C Programming Language Family (1.27x)	Machine Learning Algorithms (1.2x)
Supply Chain Systems (1.55x)	Distributed Computing Architecture (1.16x)	Regression (1.17x)
Investment Management (1.48x)	Algorithms (1.14x)	Deep Learning (1.16x)
People Analysis (1.28x)	Data Structures (1.13x)	Artificial Neural Networks (1.15x)

INDIA’s STATE-BY-STATE SKILL TREND

The proliferation of internet access and, thus, the availability of online learning has opened up access to higher-level education in India, and this means skilled workers can now be found across the country, not just in
established technology hubs.

No single region in India has a clear advantage when it comes to overall skill proficiencies. Learners in the West
generally achieved stronger proficiency scores than those in the North, East, and South, though there are areas of skills strengths and opportunities for development throughout the country. Technology skills are spread evenly across the country, while learners in West Bengal and Chandigarh achieve higher proficiency scores in data science. Learners
in the Union Territory of Puducherry and the State of Punjab have higher proficiency scores for business skills than learners in other states.

Statewise Overall Skill Proficiency Ranking

STATE RANK	STATE RANK
1 West Bengal	12 Tamil Nadu
2 Chandigarh	13 Rajasthan
3 State of Punjab	14 Uttar Pradesh
4 Andhra Pradesh	15 Kerala
5 Maharashtra	16 Union Territory of Puducherry
6 State of Jharkhand	17 Odisha
7 Bihar	18 State of Assam
8 Haryana	19 State of Chhattisgarh
9 Karnataka	20 Gujarat
10 State of Himachal Pradesh	21 Madhya Pradesh
11 National Capital Territory of Delhi	x

India’s Strengths and Opportunities

Business

Leading scores in five of the eight business skills covered in this report are split between two states: Union Territory of Puducherry with entrepreneurship (100%), strategy & operations (100%), and business marketing (100%), and the State of Punjab with leadership & management (100%) and accounting (100%). The highest scores in other business skills are spread across Andhra Pradesh with finance (100%), Chandigarh with sales (100%), and Bihar with human resources (100%).

West Bengal ranks #1 in the country for business skills, with learners achieving cutting-edge scores in all skills except accounting (50%) and strategy and operations (62%).

Union Territory of Puducherry ranks #2 in the country for business skills, with five categories scoring a cutting-edge ranking, including communication (90%) and leadership & management (76%).

Technology

Technology skills are spread evenly across the country: State of Assam with databases (100%), Kerala with security engineering (100%), Union Territory of Puducherry with computer networking (100%), and Rajasthan with web development (100%), with no one region having a clear advantage.

Overall, however, State of Punjab ranks #1 in India for technology skills, with top scores in operating systems (100%) and theoretical computer science (100%) and cutting edge scores in security engineering (95%) and computer programming (90%).

West Bengal ranks #2 in the country for technology skills, with learners earning cutting-edge scores in computer programming (100%), theoretical computer science (90%), and operating systems (89%).

Union Territory of Puducherry ranks #21 in India for technology, but at the same time, ranks #1 in the country for computer networking (100%) skills and achieves cutting-edge scores in security engineering (81%) and computer programming (81%)

Data Science

West Bengal ranks #1 overall in India for data science skills, with all skills rating as cutting-edge. Chandigarh ranks #2 in the region for data science, with all skills rating as cutting-edge, except for data visualization (10%).

Punjab ranks #3 in the country with cutting-edge scores in all skills, except data analysis (33%) and data visualization (29%). The State of Jharkhand ranks #4 in the region with four cutting-edge scores.

Learners in Chandigarh achieve some of the highest data science scores, with leading scores in data management (100%), machine learning (100%), and mathematics (100%), while learners in West Bengal lead in data analysis (100%) and probability & statistics (100%). Learners in Andhra Pradesh lead in data visualization (100%), and learners in the Union Territory of Puducherry lead in statistical programming (100%).

India’s State-by-State Skill Data

Business

State Rank	Ent	Fin	Sal	HR	L&M	ACC	S&O	Mkt	Com
1 WB	95	90	80	95	95	50	62	95	100
2 Pud	100	5		5	76		100	100	90
3 Mah	76	76	85	90	86	44	81	81	95
4 Chn	86	67	100	57	90	89	90	90	57
5 Del	67	81	75	62	71	72	76	71	71
6 Har	90	48	90	29	81	78	95	67	62
7 Pun	71	33	40	43	100	100	67	52	43
8 HP	29	95	55	71	62	33	48	43	38
9 Bih	62	29	60	100	67	39	52	24	81
10Jha	48	57	50	86	48%		19	76	67
11TN	81	14	95	14	52	67	86	86	52
12 Kar	52	38	70	33	29	22	71	62	86
13 AP	5	100	5	81	5	6	10	10	76
14 UP	24	52	45	38	24	56	33	57	33
15 Odi	33	24	65	67	43	28	43	29	48
16 Chh	57	10	35	76	57		57	33	5
17 Ker	19	71	30	19	33	94	38	19	19
18 MP	19	61	24%	14	24	14	86	10	52
19 As	43	19	20	24	14	83	14	48	29
20 Ra	38	62	25	48	38	11	5	38	10
21 Gu	10	43	15	10	10	17	29	5	14

Technology

Rank	Dat Bas	Sec Eng	Com Net	Com Pro	Web Dev	Com Sci	Clo Com	Sof Eng	Ope sys	Mob Dev
1Pun	29	95	71	90	33	100	14	19	100	53
2WB	52	76	76	100	67	90	81	71	89	13
3AP	48	48	90	57	76	62	67	90	56	100
4Chn	43	90	57	86	57	95	10	24	84	80
5Mah	95	86	86	29	81	19	90	95	78	67
6Raj	10	10	19	33	100	43	100	57	28	20
7TN	33	62	95	14	86	14	86	86	22	87
8Ker	67	100	67	5	62	10	33	14	61	93
9Bih	90	33	43	76	71	81	76	67	50	47
10Kar	62	52	81	43	95	38	57	100	39	27
11Har	76	43	52	48	29	67	43	33	72	73
12UP	57	38	29	62	43	71	71	62	44	60
13Jha	71	05	15	95	47	76	52	76
14Guj	38	67	63	10	14	33	95	29	83	40
15Del	81	57	48	38	38	57	48	38	67	7
16Ori	86	14	38	24	52	52	62	81	17
17HP	14	19	10	71	90	86	24	5
18Ass	100	29	5	52	24	29	19	10
19Chh	24	71	24	67	10	48	29	48	6
20MP	19	24	33	19	19	24	38	43	33	33
21Pud	5	81	100	81	5	5	5	52	11

Data Science

RanK	Dat Ana	Dat Man	Mac Lea	Dat Vis	Mat mat	Sta Pro	Pro Sta
1WB	100	95	90	81	95	90	100
2Chn	76	100	100	10	100	81	90
3Pun	33	86	95	29	81	86	95
4Jha	95	76	85	95	43	67	71
5AP	90	38	70	100	10	95	67
6HP	48	73	75	5	90	71	86
7Bih	81	67	60	67	62	62	43
8Kar	71	62	40	90	76	76	10
9Ass	29	24	80	33	71	43	76
10Har	38	57	45	71	76	52	57
11UP	57	52	50	38	48	48	38
12Del	52	48	25	42	67	57	52
13Raj	67	33	65	52	19	19	62
14Mah	14	71	20	62	38	24	33
15Chh	24	81	35	57	14	19	29
16Ori	19	90	10	48	24	29	24
17MP	62	10	55	86	29	5	19
18TN	43	19	30	19	57	33	14
19Pud	86	5		76	5	100	5
20Guj	10	14	15	24	52	14	81
21Ker	5	29	5	14	33	38	48