Are you a Big Data professional? Looking to jump start your career as a freelancer. Here are a few insiders that will help you to kickstart your journey.
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Cloudy With A Chance For Freelancing in Big Data & Analytics
1. Cloudy With A Chance For Freelancing
For a career in Big Data & Analytics
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The Demand Is Real!
With every organisation looking to build and
double the Data Science force, the future looks
very promising for professionals in this space.
However with a sea of Data Scientists looking to
find the perfect job, what really would put you on
the spotlight? SKILLS.
75% of the respondents from a survey have
specified the importance of Python Programming.
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The Market Story
Of course added skill set will give you the
upper hand, but what’s more important is
possessing data-centric freelance skills, that
organisations are in need of.
• Realise the need
• Portray your skills
• Be flexible & adaptable
• Be quick on the feet!
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Programmes That Pay In The Space
• Hadoop
• Robotic Process Automation
• Computer Aided Manufacturing
• Salesforce Commerce Cloud
• Julia Development
• Kubernetes
These are the fastest growing freelance skills required in
Big Data, Automation, CAM Programming and Advanced
Analytics. Ace these programmes and stay ahead in your
freelancing career among the sea of competitors.
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Thrive In A Competitive Marketplace
Make it count as you surf through and look for the
perfect organisation to work for. Know your
marketplace and understand the functions of each
organisation and approach them accordingly.
Your solutions are looked at like the MISSING
PUZZLE PIECE. So it is important to realise the
gaps and use them to leverage your importance
for the organisation.
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Know Your Net Worth
As a beginner, you might find it difficult to set
your demands right. It is important to always
deliver what you promised and communicate
right about the pay.
But always keep in mind that organisations are
obligated to compensate for the work you put
in. Make yourself qualifiable!
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Be A Brand
Last but not the very least, the most important
point to keep in mind to portray yourself as a
brand that is to be trusted. Build your presence
across social media platforms and make your
presence felt in the space.
Platforms That Can Help
• GitHub - To Demonstrate Data Science Capabilities
• Stack Overflow & Quora - To showcase participation
and to build notability
• LinkedIn - Be part of the right