Data Science Course with Python

Introduction

Python is becoming more and more popular these days, it is object-oriented, high-level and extremely interpreted programming language. In order to start your data science journey, you will have to first learn the bare minimum syntax. Python is one of the top most languages. It is used primarily for performing data analysis. Python jibes pretty well with data analysis as well, and therefore, it is touted as one of the most preferred language for data science. Python is also known as a general-purpose programming language. With the help of Python, the engineers are able to use less lines of code to complete the tasks. Python is also one of the easiest language to master. The language is quite simple, and highly readable as well.

This course will help to understand the basics of the python programming environment, including fundamental python programming techniques such as lambdas, reading and manipulating csv files, and the numpy library. It 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, how to use functions such as groupby, merge, and pivot tables effectively. It will develop your’s ability to take tabular data, clean it, manipulate it, and run basic inferential statistical analyses.

  • Understand techniques such as lambdas and manipulating csv files
  • Describe common Python functionality and features used for data science
  • Query DataFrame structures for cleaning and processing
  • Explain distributions, sampling, and t-tests

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