Introduction to DataCamp Projects

Introduction to DataCamp Projects is the first project given by DataCamp.  The intro goes on to explain the projects are a place to apply concepts learned in the courses.  The main focus is on Jupyter notebook.  Jupyter notebook allows code anywhere.  This is a web based app which is built to handle large amounts of data to create visualizations such as plotting points.  This project was part of the free course.  There wasn't much substance the project narrative didn't seem to flow very well.  I hope this is a low point of the career track.

project information:

Rasmus Bååth
Instructor at DataCamp
6 tasks
1,500 XP

Intro to Python for Data Science

I have recently decided to expand my knowledge of data science.  To accomplish this goal, I have enlisted myself in the career track- Data Scientist with Python by DataCamp.  I have just finished the first course, Intro to python for data science.  Data Camp's method for teaching combines videos, light reading and interactive exercises to move through the course.  The course had and estimated time of 4 hours to complete.  The intro course was just that, an introduction that did not need a coding background.  We began with the very basics of coding, including types, variables and functions.  We covered how to import the numpy package, and worked through some examples on how to use numpy with given data sets. I really enjoyed the delivery method of the course and will continue taking other courses from DataCamp. Each course gives you a Statement of accomplishment  which can be downloaded or shared directly to LinkedIn.  Anyone can try the introduction course for free.

Course Information:
Filip Schouwenaars
Data Science Instructor at DataCamp
Intro to Python for Data Science
https://www.datacamp.com/courses/intro-to-python-for-data-science
4 hours
11 Videos
57 Exercises
4,700 XP

You can find my profile here: https://www.datacamp.com/profile/joelcottage