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https://github.com/shawntabrizi/linkedin-topic-skill-analysis

This is a tool that will automatically collect public data about linkedin skills and topics, and do analysis on them.
https://github.com/shawntabrizi/linkedin-topic-skill-analysis

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This is a tool that will automatically collect public data about linkedin skills and topics, and do analysis on them.

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# LinkedIn-Topic-Skill-Analysis

This is a tool that will automatically collect public data about linkedin skills and topics, and do analysis on them.



I do analysis on using this data here:

http://shawntabrizi.com/code/scraping-linkedin-topics-skills-data/



### How many topics are there total?

```

len(data)

```

```

33188

```



### What are the most popular overall topics/skills?

```	

ordered_by_count = sorted(data, key=lambda k: k['count'] if isinstance(k['count'],int) else 0, reverse=True)

for skill in ordered_by_count[:20]:

    print(skill['name'])

```

```

Management - 69725749

Microsoft - 55910552

Office - 46632581

Microsoft Office - 45351678

Planning - 34397412

Microsoft Excel - 32966966

Leadership - 31017503

Customer Service - 30810924

Leadership Management - 25854094

Word - 25793371

Project - 25766790

Project+ - 25766790

Microsoft Word - 25567902

Business - 25374740

Customer Management - 24946045

Management Development - 24207445

Development Management - 24207409

Project Management - 23922491

Marketing - 23047665

Customer Service Management - 22856920

```



### What are the top < Company > Skills?

```

company = 'Microsoft'

company_skills = []

for skill in ordered_by_count:

    if skill['companies'] is not None:

        if company in skill['companies']:

            company_skills.append(skill)

 

order_by_company = sorted(company_skills, key=lambda k: k['companies'][company], reverse=True)

for skill in order_by_company[:20]:

     print(skill['name'], "-", skill['companies'][company])

```

Microsoft

```

Cloud - 74817

Cloud Computing - 74817

Cloud-Computing - 74817

Cloud Services - 74817

Management - 73123

Management Skills - 73123

Multi-Unit Management - 73123

Enterprise - 54516

Enterprise Software - 54516

Software Development - 53201

Project Management - 52083

Project Management Skills - 52083

PMP - 52083

PMI - 52083

Strategy - 43983

SaaS - 41450

Software as a Service - 41450

Program Management - 40749

Business Intelligence - 39291

C# - 39158

```

Google

```

Java - 23225

Strategy - 22235

Marketing - 21672

Data-driven Marketing - 21672

Python - 20788

Software Development - 20406

C++ - 20199

Social Media - 20082

Social Networks - 20082

Digital Marketing - 19942

Online Advertising - 19922

Marketing Strategy - 16882

Linux - 16272

JavaScript - 14567

JavaScript Frameworks - 14567

C - 14460

C Programming - 14460

Online Marketing - 13925

Online-Marketing - 13925

Social Media Marketing - 12931

```

Amazon

```

Leadership - 44329

Leadership Skills - 44329

Microsoft Office - 42713

Office for Mac - 42713

Customer Service - 36176

Microsoft Excel - 33403

Java - 25609

Word - 23314

Microsoft Word - 23314

PowerPoint - 22318

Microsoft PowerPoint - 22318

Social Media - 22110

Social Networks - 22110

C++ - 19619

Training - 19250

Marketing - 18826

Data-driven Marketing - 18826

Software Development - 18521

Public Speaking - 17366

C - 16813

```

Facebook

```

Digital Marketing - 4973

Online Advertising - 4334

Digital Strategy - 3399

Online Marketing - 3012

Online-Marketing - 3012

Facebook - 2883

Algorithms - 2881

Mobile Marketing - 2163

Machine Learning - 2103

Distributed Systems - 2033

User Experience - 1971

UX - 1971

Web Analytics - 1682

SEM - 1626

Computer Science - 1440

Google Analytics - 1261

Adwords - 1093

Google AdWords - 1093

Scalability - 1057

Mobile Advertising - 919

```



### What are the top interconnected skills?

```

skill_count = {}

for topic in data:

    if topic['skills'] is not None:

        for top_skill in topic['skills']:

            if top_skill not in skill_count:

                skill_count[top_skill] = 1

            else:

                skill_count[top_skill] += 1

    if topic['topSkills'] is not None:

        for top_skill in topic['topSkills']:

            if top_skill not in skill_count:

                skill_count[top_skill] = 1

            else:

                skill_count[top_skill] += 1

 

for skill in sorted(skill_count, key=skill_count.get, reverse = True)[:20]:

    print(skill, "-", skill_count[skill])

```

```

Microsoft Office - 11081

Management - 8845

Customer Service - 7010

Project Management - 6902

Microsoft Excel - 4884

Leadership - 4682

Social Media - 3883

Research - 3798

Public Speaking - 3243

Marketing - 2644

Microsoft Word - 2426

Sales - 2335

SQL - 2322

Engineering - 2300

Business Development - 2071

Strategic Planning - 1879

Java - 1792

Adobe Photoshop - 1555

JavaScript - 1488

Microsoft PowerPoint - 1483

```