Notice: Trying to access array offset on value of type bool in /home/techmindz/public_html/wp-content/plugins/elementor-pro/modules/dynamic-tags/tags/post-featured-image.php on line 36

Notice: Trying to access array offset on value of type bool in /home/techmindz/public_html/wp-content/plugins/elementor-pro/modules/dynamic-tags/tags/post-featured-image.php on line 36

Notice: Trying to access array offset on value of type bool in /home/techmindz/public_html/wp-content/plugins/elementor-pro/modules/dynamic-tags/tags/post-featured-image.php on line 36

Notice: Trying to access array offset on value of type bool in /home/techmindz/public_html/wp-content/plugins/elementor-pro/modules/dynamic-tags/tags/post-featured-image.php on line 36
The Rise of the Gig Economy and how it transformed careers in the IT sector post pandemic - Techmindz

The Rise of the Gig Economy and how it transformed careers in the IT sector post pandemic


Notice: Trying to access array offset on value of type bool in /home/techmindz/public_html/wp-content/plugins/elementor-pro/modules/dynamic-tags/tags/post-featured-image.php on line 36

Share This Post

The gig economy has been the talk of the town for many years now, and a growing number of people are already working in it. During the corona virus pandemic, newfound freedom takes place for many gig workers, even for those from the IT industry.

While the idea of not having a steady income can be quite scary, being part of the gig economy has numerous advantages such as flexible hours to work along with the ability to work for various companies, thereby gaining more expertise.

What is a Gig Economy?

The gig economy is a workforce that is based on single projects or tasks for which a worker is hired, mostly through a digital marketplace based on demand.

Earlier when workers who were unable to find a job can now make a living by performing gigs on their own time. This opportunity provides a higher earning potential, lots of flexibility, and a much-needed relief from the dreaded 9-5 job.

More than half of the gig economy’s jobs mainly come from industries such as healthcare, education, construction, professional and business services. Some of the notable categories include legal services, transportation, warehousing, information technology, and communications.

Among these tech jobs are the highest paid in the gig economy. For many years an increasing number of organizations are hiring freelance programmers for domains such as blockchain, cryptocurrency, VR, robotics, etc.

Benefits of taking up a job in the Gig Economy

So, if the 9-to-5 job hasn’t materialized for you yet, here are a few reasons to consider earning a job in the gig economy instead. Taking up a gig economy job indeed comes with high paying packages with an average salary of $31.23/hour.

· Provides Flexibility

The primary reason why people are drawn to the gig economy is due to its flexibility to work. With this, the professionals don’t have to commit to a full-time employment arrangement; hence they have full control over their work schedules. As a gig worker, you get to choose when and where you work, with whom to work, and you can fix even the rates at certain times.

· Gaining Marketable Skills

A gig economy job can teach you many useful skills for your professional career. While taking up a peer-to-peer job, enables you to improve your communication and customer service skills. And while structuring your work schedule, you will gain time-management skills.

· Plenty of Options

With the low barriers for entry and endless other opportunities in the gig economy, people find it much easier to get into their specific fields. The rising gig economy offers new opportunities to many career paths in the IT field that were previously limited.

How is the Gig Economy Changing the Tech World?

Where most of the industries are evolving and changing, the tech industry is one of the most susceptible ones to the gig economy. A recent survey by the online freelancing platforms Upwork and Freelancers Union stated that in the US the freelance workforce is growing three times faster than the other workforces and that the majority of people will be working as freelancers by 2027.

Blockchain Transparency

The decentralized technology used in blockchains is highly capable of changing the way in which workers consider the nature of their works. Most of the gig economy relies on trust, and the nature of blockchain allows both the gig workers and the client to see who performed which work at what time.

It allows independent workers to verify their skills and talents, thereby allowing fewer opportunities for their works to go uncredited. Even the payment gets automatically credited as part of their agreement of the work and hence makes blockchain more valuable for the freelancers.

App Innovation

Many gig economy-based companies like Uber rely on apps that are being created to serve the needs. And such apps rely on the most skilled developers and need frequent updating. Here, the gig economy fuels itself with innovations, and thereby the opportunities continue to grow.

Techmindz Shaping Graduates for the Gig Economy

The technology keeps on changing with time at a faster pace. So, being up-to-date with technology ensures you to find the right job at the right time. Techmindz, with over 5+ years of expertise, is one of the leading training institutes where you get career-oriented and find the perfect job in today’s gig economy. Some of our programs include RPA, Big Data, Software Testing, Digital Marketing, etc.

More To Explore

Send a message!

  • What is Python?
  • Knowing the history of Python
  • Unique features of the Python language
  • Differences between Python 2 and Python 3
  • Installation of Python and Environmental Setup
  • First Python Program
  • Python Identifiers
  • Python Keywords
  • Python Indentation
  • Document and Comments Interlude in Python
  • Command-line arguments
  • Getting to know User Input
  • Python Basic Data Types
  • What are the variables?
  • Introduction
  • Lists in Python
  • Knowing more about Lists
  • Understanding the Iterators
  • Generators and Comprehensions 
  • Lambda Expressions
  • Understanding and using the Ranges
  •  
  • Knowing about the section in Python
  • Python Dictionaries
  • Understanding more Dictionaries
  • Sets
  • Python Sets Examples
  • Reading Files
  • Writing text files
  • Appending to Files and Challenge
  • Manually writing the binary files
  • Writing Binary files with Pickle
  • Python user-defined functions
  • Python packages and functions
  • Calling and Defining the function
  • The anonymous Functions
  • Statement and Loops in Python
  • Python Packages & Modules
  • Overview of OOP
  • Creating Objects and Classes
  • Accessing attributes
  • Built-In Class Attributes
  • Destroying Objects
  • What is Exception?
  • Handling the exception
  • Try..except..else
  • try-finally clause
  • The argument of the Exception
  • Standard Python Exceptions
  • User-Defined Exceptions
  • Raising an exceptions
  • What is a regular expression?
  • Knowing match Function
  • Understanding the search Function
  • Searching Vs Matching
  • Extended Regular Expressions
  • Search and Replace function
  • Wildcard
  • Collections – named tuples, default dicts
  • Breakpoints and Debugging
  • Using IDEs
  • Matching vs searching

Django Course Syllabus:

  • Installation of Django
  • Module Settings
  • Requests and Responses
  • Running the development server
  • Introduction to Django Admin Site
  • Introduction to Model
  • Field Types
  • Field customization
  • Making queries
  • Accessing the related objects
  • Django migrations
  • Raw SQL and search
  • View functions
  • URLConfs
  • Shortcuts and decorators
  • Request and Response objects
  • File upload
  • Class-based views
  • Mixins
  • Generating PDF and CSV
  • Overview of the template language
  • Built-in tags
  • Built-in filters
  • Humanization
  • Custom tags 
  • Custom filters
  • csrf token
  • Introduction
  • Forms API
  • Validating forms
  • Built-in fields
  • Built-in widgets
  • Model form
  • Form sets
  • Types of vectors
  • Internationalization
  • Localization
  • Localizing UI
  • Form inputs
  • Model form
  • Time zones
  • Form sets
  • Authentication
  • Django built-in authentications
  • Customizing authentication
  • Password management
  • Logging
  • Caching
  • Sending email
  • Syndication feeds (RSS/Atom)
  • Pagination
  • Serialization
  • Message framework
  • Sessions
  • Site maps
  • Signals
  • Static file management
  • Introduction to bootstrap framework
  • Bitly – a URL shortening service similar to bitly.com
  • Twitter – Clone of twitter site
  • What is Python?
  • Knowing the history of Python
  • Unique features of the Python language
  • Differences between Python 2 and Python 3
  • Installation of Python and Environmental Setup
  • First Python Program
  • Python Identifiers
  • Python Keywords
  • Python Indentation
  • Document and Comments Interlude in Python
  • Command-line arguments
  • Getting to know User Input
  • Python Basic Data Types
  • What are the variables?
  • Introduction
  • Lists in Python
  • Knowing more about Lists
  • Understanding the Iterators
  • Generators and Comprehensions 
  • Lambda Expressions
  • Understanding and using the Ranges
  •  
  • Knowing about the section in Python
  • Python Dictionaries
  • Understanding more Dictionaries
  • Sets
  • Python Sets Examples
  • Reading Files
  • Writing text files
  • Appending to Files and Challenge
  • Manually writing the binary files
  • Writing Binary files with Pickle
  • Python user-defined functions
  • Python packages and functions
  • Calling and Defining the function
  • The anonymous Functions
  • Statement and Loops in Python
  • Python Packages & Modules
  • Overview of OOP
  • Creating Objects and Classes
  • Accessing attributes
  • Built-In Class Attributes
  • Destroying Objects
  • What is Exception?
  • Handling the exception
  • Try..except..else
  • try-finally clause
  • The argument of the Exception
  • Standard Python Exceptions
  • User-Defined Exceptions
  • Raising an exceptions
  • What is a regular expression?
  • Knowing match Function
  • Understanding the search Function
  • Searching Vs Matching
  • Extended Regular Expressions
  • Search and Replace function
  • Wildcard
  • Collections – named tuples, default dicts
  • Breakpoints and Debugging
  • Using IDEs
  • Matching vs searching

Django Course Syllabus:

  • Installation of Django
  • Module Settings
  • Requests and Responses
  • Running the development server
  • Introduction to Django Admin Site
  • Introduction to Model
  • Field Types
  • Field customization
  • Making queries
  • Accessing the related objects
  • Django migrations
  • Raw SQL and search
  • View functions
  • URLConfs
  • Shortcuts and decorators
  • Request and Response objects
  • File upload
  • Class-based views
  • Mixins
  • Generating PDF and CSV
  • Overview of the template language
  • Built-in tags
  • Built-in filters
  • Humanization
  • Custom tags 
  • Custom filters
  • csrf token
  • Introduction
  • Forms API
  • Validating forms
  • Built-in fields
  • Built-in widgets
  • Model form
  • Form sets
  • Types of vectors
  • Internationalization
  • Localization
  • Localizing UI
  • Form inputs
  • Model form
  • Time zones
  • Form sets
  • Authentication
  • Django built-in authentications
  • Customizing authentication
  • Password management
  • Logging
  • Caching
  • Sending email
  • Syndication feeds (RSS/Atom)
  • Pagination
  • Serialization
  • Message framework
  • Sessions
  • Site maps
  • Signals
  • Static file management
  • Introduction to bootstrap framework
  • Bitly – a URL shortening service similar to bitly.com
  • Twitter – Clone of twitter site
  • What is Python?
  • Knowing the history of Python
  • Unique features of the Python language
  • Differences between Python 2 and Python 3
  • Installation of Python and Environmental Setup
  • First Python Program
  • Python Identifiers
  • Python Keywords
  • Python Indentation
  • Document and Comments Interlude in Python
  • Command-line arguments
  • Getting to know User Input
  • Python Basic Data Types
  • What are the variables?
  • Introduction
  • Lists in Python
  • Knowing more about Lists
  • Understanding the Iterators
  • Generators and Comprehensions 
  • Lambda Expressions
  • Understanding and using the Ranges
  •  
  • Knowing about the section in Python
  • Python Dictionaries
  • Understanding more Dictionaries
  • Sets
  • Python Sets Examples
  • Reading Files
  • Writing text files
  • Appending to Files and Challenge
  • Manually writing the binary files
  • Writing Binary files with Pickle
  • Python user-defined functions
  • Python packages and functions
  • Calling and Defining the function
  • The anonymous Functions
  • Statement and Loops in Python
  • Python Packages & Modules
  • Overview of OOP
  • Creating Objects and Classes
  • Accessing attributes
  • Built-In Class Attributes
  • Destroying Objects
  • What is Exception?
  • Handling the exception
  • Try..except..else
  • try-finally clause
  • The argument of the Exception
  • Standard Python Exceptions
  • User-Defined Exceptions
  • Raising an exceptions
  • What is a regular expression?
  • Knowing match Function
  • Understanding the search Function
  • Searching Vs Matching
  • Extended Regular Expressions
  • Search and Replace function
  • Wildcard
  • Collections – named tuples, default dicts
  • Breakpoints and Debugging
  • Using IDEs
  • Matching vs searching

Django Course Syllabus:

  • Installation of Django
  • Module Settings
  • Requests and Responses
  • Running the development server
  • Introduction to Django Admin Site
  • Introduction to Model
  • Field Types
  • Field customization
  • Making queries
  • Accessing the related objects
  • Django migrations
  • Raw SQL and search
  • View functions
  • URLConfs
  • Shortcuts and decorators
  • Request and Response objects
  • File upload
  • Class-based views
  • Mixins
  • Generating PDF and CSV
  • Overview of the template language
  • Built-in tags
  • Built-in filters
  • Humanization
  • Custom tags 
  • Custom filters
  • csrf token
  • Introduction
  • Forms API
  • Validating forms
  • Built-in fields
  • Built-in widgets
  • Model form
  • Form sets
  • Types of vectors
  • Internationalization
  • Localization
  • Localizing UI
  • Form inputs
  • Model form
  • Time zones
  • Form sets
  • Authentication
  • Django built-in authentications
  • Customizing authentication
  • Password management
  • Logging
  • Caching
  • Sending email
  • Syndication feeds (RSS/Atom)
  • Pagination
  • Serialization
  • Message framework
  • Sessions
  • Site maps
  • Signals
  • Static file management
  • Introduction to bootstrap framework
  • Bitly – a URL shortening service similar to bitly.com
  • Twitter – Clone of twitter site

For Quick Enquiry