Data Analytics A-Z with Python

Learn Python for Data Science

Created by : Rated :4.8 9470 views

Last Updated: 2023-03-21 11:03:50 English Course Type: Self Learning

Data Analytics
Python Programming
Data Manipulation with Pandas
Data Visualization with MatPlotlib
NumPy
Python for Data Science

Data Analytics is the trending technology in the present days. If you are someone who is passionate about Data Science, Machine Learning and Data Analytics, then this course is for you.

It covers the following:

Data Analytics
Numpy Mathematical Operations
Pandas Data Manipulation
Data Visualization with Matplotlib
Python programming

Pre-Requisites:

No Pre-Requisites are required

Target Audience:

Any one who is passionate about Data Analytics

Resources:

Code workbooks for Data Analytics part is provided

No pre-requisites are required

Beginners who are curious about Data Science, Machine Learning and Data Analytics

Section 1 : Introduction 2 Lectures 00:01:37
Lecture 1 :
Introduction Preview
Lecture 2 :
About the Instructor
Section 2 : Installation 2 Lectures 00:04:07
Lecture 1 :
Anaconda Installation
Lecture 2 :
Jupyter Notebooks
Section 3 : Why Python 8 Lectures 00:09:14
Lecture 1 :
Features of Python
Lecture 2 :
Multi-paradigm
Lecture 3 :
Open Source
Lecture 4 :
Diversified
Lecture 5 :
Interpretation
Lecture 6 :
Easy and Simple
Lecture 7 :
Dynamic Typing
Lecture 8 :
Large Standard Library
Section 4 : Python Hands-On 26 Lectures 01:56:18
Lecture 1 :
Numbers
Lecture 2 :
Variables
Lecture 3 :
Operators
Lecture 4 :
Dynamic Typing in Python
Lecture 5 :
Strings in Python
Lecture 6 :
String Operations
Lecture 7 :
String Methods
Lecture 8 :
Immutability
Lecture 9 :
String Formatting
Lecture 10 :
Lists
Lecture 11 :
List Methods
Lecture 12 :
Tuples
Lecture 13 :
Dictionaries
Lecture 14 :
Dictionary Methods
Lecture 15 :
Sets and Booleans
Lecture 16 :
Statements
Lecture 17 :
For Loop
Lecture 18 :
While Loop
Lecture 19 :
Functions
Lecture 20 :
Decorators
Lecture 21 :
Generators
Lecture 22 :
Objects and Classes
Lecture 23 :
Attributes
Lecture 24 :
Methods
Lecture 25 :
Inheritance
Lecture 26 :
Polymorphism
Section 5 : Data Analytics with NumPy 5 Lectures 00:30:13
Lecture 1 :
Intro to NumPy
Lecture 2 :
NumPy Arrays
Lecture 3 :
NumPy Data Types
Lecture 4 :
NumPy Array Attributes
Lecture 5 :
Maths with NumPy
Section 6 : Data Analytics with Pandas 5 Lectures 00:28:12
Lecture 1 :
Intro to Pandas
Lecture 2 :
Reading data in Pandas
Lecture 3 :
Pandas Data Manipulation-1
Lecture 4 :
Pandas Data Manipulation-2
Lecture 5 :
Pandas Data Manipulation-3
Section 7 : Data Analytics and Visualization with Matplotlib 5 Lectures 00:34:15
Lecture 1 :
Intro to Matplotlib
Lecture 2 :
Plotting Arrays
Lecture 3 :
Plot Styling
Lecture 4 :
Customizing plots
Lecture 5 :
Variants of Graphs

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Yes absolutely & thats one of the advantage of self-paced courses. You can anytime pause or resume the course & come back & forth from one lecture to another lecture, play the videos mulitple times & so on.
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Yaswanth Sai Palaghat,

103951 Course Views

5 Courses

Hey techies, I am Yaswanth Sai Palaghat. I am the founder of the Techie Empire. I had a lot of stuff to tell about myself but I will try to brief it. I am a software developer working in Hyderabad and a freelance Content Creator. I consider myself a techie where I love exploring and working with the latest technologies all the time. I am a Youtuber and have a youtube channel named "YASWANTH SAI PALAGHAT" where I regularly upload tech videos and project demos. I am a blogger too, I love writing content about tech and life hacks. I am an active person in social media with frequent posts.