DataCamp
DataCamp Logo

Introduction to Python 

  • Offered byDataCamp

Introduction to Python
 at 
DataCamp 
Overview

Master the basics of data analysis in Python. Expand your skillset by learning scientific computing with numpy.

Duration

4 hours

Mode of learning

Online

Schedule type

Self paced

Difficulty level

Intermediate

Credential

Certificate

Introduction to Python
 at 
DataCamp 
Highlights

  • Master the basics of data analysis in Python
  • Learn how to use Python interactively and by using a script.
  • Learn from Hugo Bowne-Anderson, Data Scientist at DataCamp
Details Icon

Introduction to Python
 at 
DataCamp 
Course details

What are the course deliverables?
  • This course focuses on Python specifically for data science
  • Introduction to Python course, learn about powerful ways to store and manipulate data, and helpful data science tools to begin conducting your own analysis
More about this course
  • Python is a general-purpose programming language that is becoming ever more popular for data science. Companies worldwide are using Python to harvest insights from their data and gain a competitive edge. Unlike other Python tutorials, this course focuses on Python specifically for data science. In our Introduction to Python course, you?ll learn about powerful ways to store and manipulate data, and helpful data science tools to begin conducting your own analyses.

Introduction to Python
 at 
DataCamp 
Curriculum

Python Basics

Hello Python!

The Python Interface

When to use Python?

Any comments?

Python as a calculator

Variables and Types

Variable Assignment

Calculations with variables

Other variable types

Guess the type

Operations with other types

Type conversion

Can Python handle everything?

Python Lists

Create a list

Create list with different types

Select the valid list

List of lists

Subsetting Lists

Subset and conquer

Subset and calculate

Functions and Packages

Functions

Familiar functions

Help!

Multiple arguments

Methods

String Methods

List Methods

NumPy

Your First NumPy Array

Baseball players' height

Baseball player's BMI

Lightweight baseball players

NumPy Side Effects

Subsetting NumPy Arrays

2D NumPy Arrays

Other courses offered by DataCamp

– / –
39 hours
– / –
– / –
26 hours
– / –
– / –
4 hours
Beginner
– / –
4 hours
Intermediate
View Other 46 CoursesRight Arrow Icon

Introduction to Python
 at 
DataCamp 
Students Ratings & Reviews

4.9/5
Verified Icon21 Ratings
T
Tushar Ashara
Introduction to Python
Offered by DataCamp
5
Learning Experience: Great
Faculty: Best faculty Best
Course Support: Learn new skills
Reviewed on 23 Dec 2022Read More
Thumbs Up IconThumbs Down Icon
N
Noorjahath Kousar Kadapa
Introduction to Python
Offered by DataCamp
5
Learning Experience: It was so useful to me, I got some experience with coding and it is best for freshers and students.
Faculty: He tells introduction part only, briefly explain It is big task for freshers to improve course structure assements
Reviewed on 8 Nov 2022Read More
Thumbs Up IconThumbs Down Icon
A
Abhay Kaila
Introduction to Python
Offered by DataCamp
4
Learning Experience: The course is instructor led video sessions. It is very good to clear the basics and move to advance stages of Python. There is assessment after every lesson which is also very helpful.
Faculty: It wad a pre recorded video session but quite helpful for the foundation of Python. The pace of the course is adequate, its not too fast. You can take your own time to complete.
Course Support: No
Reviewed on 15 Oct 2022Read More
Thumbs Up IconThumbs Down Icon
H
Himanshu Choukade
Introduction to Python
Offered by DataCamp
5
Learning Experience: The best thing about the course is the hands on practice alongside the theory.
Faculty: Can't recall Curriculum was as per the latest context
Course Support: No
Reviewed on 17 Sep 2022Read More
Thumbs Up IconThumbs Down Icon
S
Sachin Patalasingh
Introduction to Python
Offered by DataCamp
5
Learning Experience: The course content was really nice and informative. It was neither too hard nor too lenient. The pace was really goood.
Faculty: The faculties were very soft spoken. They made sure that the course is going in the right pace. Yes, the course curriculum was updates and it was really comprehensive. I liked the in lecture assesments and code practice.
Course Support: Not yet
Reviewed on 23 Jul 2022Read More
Thumbs Up IconThumbs Down Icon
View All 14 ReviewsRight Arrow Icon
qna

Introduction to Python
 at 
DataCamp 

Student Forum

chatAnything you would want to ask experts?
Write here...