FavoriteLoadingBookmark this content

Coursera Applied Data Science with Python Specialization

Content Type: /

Difficulty Rating:
Early Beginner 0
Advanced Beginner 0
Intermediate 1
Advanced Intermediate 0
Advanced 0

From Coursera:

The 5 courses in this University of Michigan specialization introduce learners to data science through the python programming language. This skills-based specialization is intended for learners who have basic a python or programming background, and want to apply statistical, machine learning, information visualization, text analysis, and social network analysis techniques through popular python toolkits such as pandas, matplotlib, scikit-learn, nltk, and networkx to gain insight into their data.”

The specialization includes 5 courses, to be taken in order. The courses are also available individually.

  1. Introduction to Data Science in Python
  2. Applied Plotting, Charting & Data Representation in Python
  3. Applied Machine Learning in Python
  4. Applied Text Mining in Python
  5. Applied Social Network Analysis in Python

Recommended Prerequisites: "Python: Fluency with Python including variables, control structures, data structures, functions, and working with files….Statistics: Explain basic descriptive statistics such as mean, mode, median, and standard deviation, as well as understand what a distribution is." Courses 1-3 are required, in sequence, before taking courses 4-5, in sequence.

Go to Content: Coursera Applied Data Science with Python Specialization

One Rating for "Coursera Applied Data Science with Python Specialization"

Log in to post a review.