My DataCamp Certifications

This is a repository to show the certifications of courses I made at DataCamp.

I've subscribed DataCamp for 3 months and enjoyed the maximum I could. Watching the videos and doing a lot of exercises (some are very funny, I have to say).

My DataCamp profile link is https://www.datacamp.com/profile/julianomacielferreira

In this moment I'm not working professionally as a Data-[Analyst, Engineer, Sciencist] or using all the knowledge and tools I've learned from them, but I highly recommend people make a subscription and give a try.

In general, It'll improve your problem solving skills and they have real challenging exercises / projects with a strong pedagogy and best learn practices.

If you are a very curious person like me, I think DataCamp is one of the best places to learn and practice Data Science fundamentals and related tools.

Disclaimer

This repository DOES NOT CONTAIN any copy, reproduction or adaptation of the content or exercises available in the courses (free or paid) at DataCamp.

Courses Topics

Python

• Introduction to Python

  • _{My Statement of Accomplishment}

• Intermediate Python for Data Science

  • _{My Statement of Accomplishment}

• Python Data Science Toolbox (Part 1)

  • _{My Statement of Accomplishment}

• Python Data Science Toolbox (Part 2)

  • _{My Statement of Accomplishment}

• pandas Foundations

  • _{My Statement of Accomplishment}

R Language

• Introduction to R

  • _{My Statement of Accomplishment}

• Intermediate R

  • _{My Statement of Accomplishment}

SQL

• Intro to SQL for Data Science

  • _{My Statement of Accomplishment}

• Intermediate SQL

  • _{My Statement of Accomplishment}

• Joining Data in SQL

  • _{My Statement of Accomplishment}

Shell Script

• Introduction to Shell for Data Science
  • _{My Statement of Accomplishment}

Git

• Introduction to Git for Data Science
  • _{My Statement of Accomplishment}

License

Please see the license agreement.

References

• DataCamp
• Wikipedia
  • Data Science
  • Data Analysis
  • Statistics
  • Exploratory data analysis
  • SQL
• Python
• Pandas - Python Data Analysis Library
• NumPy - package for scientific computing with Python
• Project Jupyter
• R Language
• R Studio
• Git

Screenshots