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  • 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
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  • Section 1 : Introduction 2 Lectures 00:01:37

    • Lecture 1 :
    • 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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100862 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.
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