Thread by @niketkedia

It is Estimated to have 11,000,000+ job openings 🚀in Data Science industry by 2026.

Building is portfolio to stand out is absolutely necessary.

Tips to build your #datascience portfolio. A Thread 🧵

1. GitHub Profile - @github
▶️Over 65 million developers and more than 3 million companies use GitHub . GitHub says that 72% of Fortune 50 companies use the site.
▶️ There is always debate about GitHub over blog. I started with blog and later created GitHub profile

1.1 GitHub Profile - @github
▶️A crucial part of data science jobs is to be able to code, and GitHub serves as a perfect platform to access the coding skills and display hands-on ability to solve problems.
▶️If you are beginner or a student @github is must to stand out

2. Tableau Public Profile -
▶️If you're learning Tableau having a public profile and uploading the data visualization will help you learn and track your progress. @tableau

3. Online competition Platforms like kaggle -
▶️Participating in online competition will give you confidence and sources to learn from other data scientist. Upload you R or Python notebooks and Create a portfolio. Since the platform is build only
for data science.
@kaggle

4. Online courses certification -
▶️Completing online courses and earning certification will give validation for you handwork, discipline and eagerness to learn for a professional or students.
As taking out time from regular office work or university classes is not easy.

5. End-to-end Data Science Projects -
▶️Completing end-to-end project will give you learning as well as confidence
▶️Also helps in the interviews as you've done the project and you'll be knowing the every little details so you'll be comfortable explaining it.

6. Updating LinkedIn, Twitter, Medium profile -
▶️Document your learning on regular basis. For beginners I'll suggest LinkedIn as there are millions of recruiters and millions of jobs available. Having a strong LinkedIn profile is very important.
@LinkedIn

6.1 Updating LinkedIn, Twitter, Medium profile -
▶️When you write about learnings your posts will reach out to professionals, leaders and recruiters from similar industry and help you getting a job.
@LinkedIn

7. Professional Certification for specific tools like Tableau, Alteryx, Power BI, AWS, Google Cloud, Azure -
▶️It gives much more credibility and makes you stand out among the crowd.
▶️I've completed 2 @tableau, 1 @alteryx and 1 @MSPowerBI certification from the providers

8. Start a Blog -
▶️Okay now you have done everything from point 1 to 7. Start a blog even if you have not done few of the points. I suggest everyone who wants to grow and bring something extra to the table to start a blog.

8.1 Start a Blog -
▶️You can start your blog under $110 annually for custom domains and there are 100's of free options available to start a blog @wordpressdotcom , @Wix and others. Within 2 days you can take you blog live and without any knowledge of web development.

8.2 Start a Blog -
▶️I started analytics-tuts.com 7 years back and now I get 15,000+ monthly active visitors and continuously growing.
▶️ I've worked with CEOs, founders, leaders working across the globe and they reached out to me through my blog.

🗒️Summary
▶️GitHub Profile
▶️Tableau Public Profile
▶️Online competition
▶️Online courses
▶️Data Science Projects
▶️LinkedIn, Twitter, Medium profile
▶️Professional Certification
▶️Start a Blog
@github @tableau @LinkedIn @Twitter @coursera @udemy @edXOnline @DataCamp @udacity

Thanks for reading 😀

Follow @niketkedia for more threads on #datascience #rstats #DataAnalytics #Datavisualization #datafam #pythonlearning and building audience.

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