Python for Data Science Crash Course

  • Categories DATA ANALYSIS
  • Total Enrolled 0
  • Last Update August 21, 2020


Python is the most important language in the field of data, and its libraries for analysis and modeling are the most relevant tools to use.

Python is an open source, general purpose, and interpreted, object-oriented language which is used in the development of programs, provided the right tools and library is made available. Thus, its general appeal in the development of web applications, Machine Learning, data analysis and complex arithmetic computing.

This course will take you through on the fundamentals of Python programming and dive deep into fundamental libraries like Pandas, NumPy and Matplotlib to begin your Data Science Journey

The features of this course include

  • Clarity and Simplicity programming
  • Practicality and efficiency
  • Hands on demonstrations and
  • Test Exercises to test lessons learnt


Main Features

  • Basic Notebook commands
  • Variables and conversions in Python
  • Variables, lists, dictionaries, sets, classes in Python
  • Python Function
  • Date management
  • Reading and writing files
  • Mathematical functions in NumPy
  • NumPy Functions
  • Reading and Writing Files with Pandas
  • Pivot tables in Pandas
  • Data Visualization with Matplotlib
  • Charts and Graphs

What is the target audience?


  • No programming experience is required for the course
  • A computer with internet connection


Who this course is for:

  • Researchers in the field of data analysis, machine learning and data mining, who want to consolidate the basics
  • Beginners who want to start learning the Python programming language
  • Programmers who already have experience with other languages and want to learn the Python language
  • Any student wishing to pursue a career in the field of Data Science
  • Anyone who wants to approach this new field for work or personal growth