Learn Python for Data Science: A Quick Start Guide

Python Programming for Data Science

Hands on to the most powerful language.

Created by : Rated :4.8 78296 views

Last Updated: 2024-11-18 05:11:03 English Course Type: Self Learning

We will be gaining hands on Basic Python programming.
We will be able to work with all the Datatypes, Packages and Graphs.

In this course, we will be learning :

PYTHON FUNDAMENTALS where we Gain the knowledge of core concepts of Python including operators, variables and Data Types and learn to store, access and manipulate data in lists.

FUNCTIONS AND PACKAGES where we Gain a knowledge of the basics of functions, methods and Packages.

NumPy where we Make a step towards Data Science and go deep into Python by learning the basics of the NumPy array.

Happy learning !

No prior knowledge is required in this course as we will be covering everything from the basics.

Those who want to step into Data Science Domain specially into Machine Learning and Deep Learning.

Section 1 : PYTHON FUNDAMENTALS 10 Lectures 01:21:36
Lecture 1 :
Introduction to Python in Data Science Preview
Lecture 2 :
Arithmetic Functions
Lecture 3 :
Defining, Storing Variables and Datatypes
Lecture 4 :
Working with Data Types
Lecture 5 :
PRACTICE
Lecture 6 :
Introduction to LISTS
Lecture 7 :
Accessing List Values
Lecture 8 :
SLICING
Lecture 9 :
Sub-Setting Lists
Lecture 10 :
Advanced List Operations
Section 2 : FUNCTIONS AND PACKAGES 7 Lectures 00:51:32
Lecture 1 :
Built in Functions 1.1
Lecture 2 :
Built in Functions 1.2
Lecture 3 :
Function Arguments 1.1
Lecture 4 :
Function Arguments 1.2
Lecture 5 :
Introduction to String Methods 1.1
Lecture 6 :
Introduction to String Methods 1.2
Lecture 7 :
Introduction to String Methods 1.3
Section 3 : NumPy 4 Lectures 00:32:54
Lecture 1 :
Importing Python Packages
Lecture 2 :
Introduction to NumPy Arrays
Lecture 3 :
Subsetting and Comparing Arrays 1.1
Lecture 4 :
Subsetting and Comparing Arrays 1.2

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Saheb Singh chaddha,

262746 Course Views

6 Courses

Hello guys, How are you all doing? So a quick introduction of me, well I am a Big Data Expert and Data Scientist, I have 3 years of experience on these domain in companies as well as a trainer. My teaching method is completely different than others like I am not a slide reader, I use analogies and examples a lot to explain things and mostly try to be practical which you'll see in the course. Hope to see you all in the lectures, Good Luck!