Certification – Introduction to Data Science in Python

Certification Details: https://www.coursera.org/account/accomplishments/verify/RCHZWM8QBJEW

 

 

Course Description

This course will introduce the learner to the basics of the python programming environment, including fundamental python programming techniques such as lambdas, reading and manipulating csv files, and the numpy library. The course will introduce data manipulation and cleaning techniques using the popular python pandas data science library and introduce the abstraction of the Series and DataFrame as the central data structures for data analysis, along with tutorials on how to use functions such as groupby, merge, and pivot tables effectively. By the end of this course, students will be able to take tabular data, clean it, manipulate it, and run basic inferential statistical analyses. This course should be taken before any of the other Applied Data Science with Python courses: Applied Plotting, Charting & Data Representation in Python, Applied Machine Learning in Python, Applied Text Mining in Python, Applied Social Network Analysis in Python.

 

Checkout my portfolio here: https://confusedcoders.com/nikita-sharma-greenhorn-data-science-student

I am a greenhorn Data Science student with interest in finding patterns in data. My language of choice is Python and I am starting to get my hands dirty with R.

I blog on Medium.com [1] and ConfusedCoders.com [2]. I share my code on Github.com [3].

  1.  https://medium.com/@nikkisharma536
  2. https://confusedcoders.com/author/nikita
  3. https://github.com/nikkisharma536

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