Essential Data Tools
  • Type Certification
  • Level Intermediate
  • Time Days
  • Cost Paid
Additional Details

Essential Data Tools

Issued by Pragmatic Institute

The earner of this badge has completed the Essential Data Tools course. This includes understanding the fundamental data structures such as lists and dictionaries and their differences, creating for and while loops, the importance of creating and using functions, the concept of object oriented programming and creating custom classes. Further, they have demonstrated their knowledge of the NumPy and pandas Python package and why they are crucial in data science applications with Python.

  • Type Certification
  • Level Intermediate
  • Time Days
  • Cost Paid
Additional Details

Skills

Earning Criteria

  • The earner of this badge successfully passed the course multi-choice questionnaire with a test score equal to 70% or better.
  • The earner of this badge has successfully completed the miniproject associated with the Python module of Essential Data Tools course, scoring at least 90%. They have the ability to write working Python code involving data structures and writing regular expressions to find emails and names in a PDF.  They used regular expressions to find social securities numbers in text, built a regular expression to find in a PDF email addresses as well as names of people who belong to committee.
  • The earner of this badge has successfully completed the miniproject associated with the Data Analysis with pandas module of Essential Data Tools course, scoring at least 90%. They have shown the ability to use web APIs to help replace missing information in a data set. Further, they are able to load data as pandas data frames and perform necessary data analysis operations such as filtering, selecting, and merging with other data sets.
  • The earner of this badge has completed the Advanced Data Analysis with pandas module for Essential Data Tools through Pragmatic Institute. They have shown advanced ability with working with the pandas Python package such as grouping and applying data aggregation. Through these data aggregation, they can identify trends and obtain insight that was not apparent from the original data.