Python for Data Science
3.8 (50 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
5,873 students enrolled

Python for Data Science

Learn Python With No Programming Experience in 5 days
3.8 (50 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
5,873 students enrolled
Created by Susana Mullikin
Last updated 1/2019
English
English [Auto-generated]
Current price: $11.99 Original price: $19.99 Discount: 40% off
23 hours left at this price!
30-Day Money-Back Guarantee
This course includes
  • 3.5 hours on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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What you'll learn
  • Introduction to Python and the Interpreter
  • Obtaining user input and correcting Errors
  • Performing Operations
  • Making Statements
  • Defining Functions
  • Importing Modules
  • Managing Strings
  • Calculations and Variables
  • Store Data
  • Use functions to simplify programs
Course content
Expand all 23 lectures 03:20:48
+ MODULE 1: INTRODUCTION TO IDLE AND WRITING YOUR FIRST PROGRAM
7 lectures 55:31
WAYS TO ACCESS IDLE INTERPRETER
08:36
IDLE AND PEMDAS: USING PYTHON AS A CALCULATOR
07:52
TEXT EDITOR : ATOM INSTALL
09:25
WHAT IS A PYTHON PROGRAM: SCRIPTING.
03:43
HAVING A CONVERSATION WITH PYTHON NUMBERS
08:30
WORKING WITH TEXT MAKING YOUR FIRST "HELLO WORLD" PROGRAM. HOW TO SAVE A PROGRAM
12:08
SUMMARY MODULE 1
05:17
+ MODULE 2
7 lectures 01:02:12
THE PRINT () FUNCTION AND MODULES, FLOOR DIVISION
12:50
VARIABLES and STORING VARIABLES. WHAT ARE COMMENTS IN PYTHON?
05:16
CASTING DATA TYPES, TYPE() FUNCTION, ROUND () FUNCTION
13:38
WORKING WITH BOOLEAN : TRUE AND FALSE
11:36
SOLUTION TO SAVINGS EXAMPLE 1
06:07
SOLUTION TO BMI PROBLEM EXAMPLE 2
08:22
ERRORS IN PYTHON AND SUMMARY MODULE 2
04:23
+ MODULE 3
2 lectures 22:16
BEGINNING LISTS CONCEPTS
08:19
CONVERTING STRINGS TO INTEGERS, CONCATENATION STRINGS
13:57
+ MODULE 4: LISTS AND WORKING WITH LISTS
2 lectures 18:38
LISTS EXAMPLES AND INTRODUCTION: TYPES OF LISTS
10:30
MUTABILITY OF LISTS
08:08
+ MODULE 5
1 lecture 12:41
MODULE 5 FUNCTIONS AND METHODS AND THANK YOU
12:41
Requirements
  • Python Installation Free From Web
  • Notebook for notes
  • Atom or other text editor for free install from web
Description

Learning the basic of Python and the interpreter. Learn how to install Python and create your first program. Learn how to do operations with PYthon. Acquire the ability to write lists, manipulate lists, restrict list, associate elements. Functions and Methods. Supply arguments and returning values. Using callbacks, placeholders, generators and handling exceptions.  Learning how to store functions, function names, interrogating the system, performing mathematics, calculating decimals, telling time, running a timer, etc... This is part I of II.

Who this course is for:
  • Beginner
  • Open Mind to learn programming
  • Students that want to learn Python for data science
  • Students that like challenges or puzzles