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What you'll learn?
- Data Analytics
- Python Programming
- Data Manipulation with Pandas
- Data Visualization with MatPlotlib
- NumPy
- Python for Data Science
Course Overview
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
Pre-requisites
- No pre-requisites are required
Target Audience
- Beginners who are curious about Data Science, Machine Learning and Data Analytics
Curriculum 53 Lectures 03:43:56
-
Section 1 : Introduction
- Lecture 2 :
- About the Instructor
-
Section 2 : Installation
- Lecture 1 :
- Anaconda Installation
- Lecture 2 :
- Jupyter Notebooks
-
Section 3 : Why Python
- 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
- 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
- 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
- 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
- Lecture 1 :
- Intro to Matplotlib
- Lecture 2 :
- Plotting Arrays
- Lecture 3 :
- Plot Styling
- Lecture 4 :
- Customizing plots
- Lecture 5 :
- Variants of Graphs
Our learners work at
Frequently Asked Questions
-
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Yes. All of the courses comes with online video based lectures created by certified instructors. Instructors have crafted these courses with a blend of high quality interactive videos, lectures, quizzes & real world projects to give you an indepth knowledge about the topic. -
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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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-
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Instructor
103397 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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