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DataCamp

Introduction to Python

via DataCamp

Overview

Master the basics of data analysis with Python in just four hours. This online course will introduce the Python interface and explore popular packages.

An Introduction to Python


Python has grown to become the market leader in programming languages and the language of choice for data analysts and data scientists. Demand for data skills is rising because companies want to gain actionable insights from their data.



Discover the Python Basics


This is a Python course for beginners, and we designed it for people with no prior Python experience. It is even suitable if you have no coding experience at all. You will cover the basics of Python, helping you understand common, everyday functions and applications, including how to use Python as a calculator, understanding variables and types, and building Python lists. The first half of this course prepares you to use Python interactively and teaches you how to store, access, and manipulate data using one of the most popular programming languages in the world.



Explore Python Functions and Packages


The second half of the course starts with a view of how you can use functions, methods, and packages to use code that other Python developers have written. As an open-source language, Python has plenty of existing packages and libraries that you can use to solve your problems.



Get Started with NumPy


NumPy is an essential Python package for data science. You’ll finish this course by learning to use some of the most popular tools in the NumPy array and start exploring data in Python.

Syllabus

  • Python Basics
    • An introduction to the basic concepts of Python. Learn how to use Python interactively and by using a script. Create your first variables and acquaint yourself with Python's basic data types.
  • Python Lists
    • Learn to store, access, and manipulate data in lists: the first step toward efficiently working with huge amounts of data.
  • Functions and Packages
    • You'll learn how to use functions, methods, and packages to efficiently leverage the code that brilliant Python developers have written. The goal is to reduce the amount of code you need to solve challenging problems!
  • NumPy
    • NumPy is a fundamental Python package to efficiently practice data science. Learn to work with powerful tools in the NumPy array, and get started with data exploration.

Reviews

4.4 rating, based on 16 Class Central reviews

4.7 rating at DataCamp based on 2510 ratings

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  • I did this one and one on intro to data science without coding. excellent courses. thx to classcentral as i found they were offering free courses till Sep 9th! (or one week free)

    recommended intro to python for DS

    would like more of their courses listed here though
  • Jeff Weakley
    I tried DataCamp when it first came out and found it a little limited and clunky. I recently went back and took a look and I'm very impressed by how far it has come. The range courses is fantastic. You could literally learn the whole gamut needed to be a Data Scientist. Top talent teachers and a great, working, coding interface. If you want to learn to code Python, I highly recommend it. I learned so much. I am now in the process of taking their Deep Learning in Python course. Nice work.
  • Anonymous
    This class is a great introduction for people who've never touched Python to get familiarized with the language and how Python can help achieving data analysis tasks.

    The instructor talks slowly at a pace knowing you not having a lot of experience and never assumed something is known by the student.
  • Shaik Mansoor Ali
    Awesome Course ! It is easy to understanding and content is also very easy to understand.
    Quiz are also helpful for what we are learning and also helps in interviews. Thank You
  • Anonymous
    I am very positive about the quality of the courses and instructors. For beginners a great way to start learning Python. The instructions are short, the instructor is clear and enthusiastic and the exercises are not to hard. This mix keeps me motivated.
  • This was definitely a very good hands-on introduction on how to use Python for Data Science. I would definitely recommend this to people who are just starting out and want to learn by coding, not just by reading or watching videos.
  • Anonymous
    Very well formatted course with short videos, and multiple easy/medium difficulty exercises. Enthusiastic and expert instructor. Loved taking the course. Recommended for anyone wanting to learn Python for data science.
  • This was a very good intro to Python for Data Science. The instructor covered various concepts in a very engaging manner and there is help available in case you get stuck (which won't happen very often)
  • Anonymous
    Really basic and bad. It is more of a collection of spoon-fed micro exercises in copying code from a 2 minute video than anything else. Could not complete it, total waste of time.
  • Anonymous
    It is very useful for beginners with all necessary fundamental in Python the syllabus contain easy way to learn mission language.
  • It is a nice start for those interested in Data Science. This course consists of small videos followed by small and interactive problems. I really enjoyed completing this course and hope I can continue learning Python for Data Science in DataCamp.
  • Julien Iguchi-cartigny
  • Sagar Shankar
  • Amalik Amriou
  • Saleh ِalsalamah

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