Congratulations!
1. Congratulations!
Congratulations, you made it to the end of this course!2. Julia is growing!
I hope that you've been able to develop your Julia knowledge further in this course! Julia is a programming language that is steadily increasing in popularity, as developers see the immense benefits and speed offered by Julia as an alternative to Python for data science and analytics.3. Course recap
You've covered a lot in this course! The first chapter introduced loops and ranges, the second introduced data structures, the third introduced code timing and writing complex functions, and the final chapter covered DataFrames and extending Julia to use Python and R packages.4. What's next?
So what's next? Like any new skill, keep practicing. Write your own programs in Julia, solve problems in Julia, and keep up to date with the Julia community online. Just like other programming languages, as you have seen, Julia is incredibly extendable. Consider learning one of the popular packages such as Plots, DataFrames, or Distributions. DataCamp also offers two more courses in Julia to further improve your skills, as shown on the slide. Consider these courses to specialize further in visualization or data manipulation!5. Thank you!
Finally, thank you for taking this course, and congratulations again on your achievement.Create Your Free Account
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