This plan includes
- Limitedfree coursesaccess
- Play & PauseCourse Videos
- VideoRecorded Lectures
- Learn onMobile/PC/Tablet
- Quizzes andReal Projects
- Lifetime CourseCertificate
- Email & ChatSupport
What you'll learn?
- Code with Python Programming Language
- Python Functional Programming
- Structure Data using collection containers
- Object-Oriented Design
- Advanced Python Foundations
- Handling Data with Python Libraries
- Numerical Python
- Extracting and Analyzing data from different resources
- Data Analysis with Pandas
- Data Visualization using matplotlib
- Advanced Visualization with Seaborn
- Build Python solutions for data science
- Get Instructor QA Support and help
Course Overview
Pre-requisites
- No Python prior experience is required to take this Training
- Computer and Internet access
Target Audience
- Python beginners and newbies
- Data Scientist who knows other language tools
- New Python Data Analysts
- Data Science Beginners
- New developers and Programmers
- Programmers and developers who know other programming language but are new to python
- Anyone who wants to use Python for data analysis and visualization in a short time!
Curriculum 74 Lectures 06:09:56
Section 1 : Course Introduction
- Lecture 2 :
- Download and Install the working tools
- Lecture 3 :
- Jupyter Overview + Markdown in Jupyter tutorial
- Lecture 4 :
- Using Jupyter Notebook for coding with Python
- Lecture 5 :
- Using Anaconda Prompt
Section 2 : Python Basics
- Lecture 1 :
- Variables and Types Tutorial
- Lecture 2 :
- Describe what's inside the code
- Lecture 3 :
- Define Blocks and Avoid IndentationError
- Lecture 4 :
- Strings full tutorial
- Lecture 5 :
- Numbers, Math and f-string tutorial
- Lecture 6 :
- Handling inputs and outputs
Section 3 : Python Data Structures
- Lecture 1 :
- Structure Data using lists
- Lecture 2 :
- Structure data using tuples
- Lecture 3 :
- Structure Data using Dictionaries
- Lecture 4 :
- Structure Data using sets
Section 4 : Python Fundamentals
- Lecture 1 :
- Comparing Values
- Lecture 2 :
- Output from Logics
- Lecture 3 :
- Conditional Statements
- Lecture 4 :
- The while loop in Python
- Lecture 5 :
- The for loop in Python
- Lecture 6 :
- Python Library Functions
- Lecture 7 :
- User-Defined Functions
- Lecture 8 :
- The lambda power
- Lecture 9 :
- The break statement
- Lecture 10 :
- The continue statement
- Lecture 11 :
- The for else statement
- Lecture 12 :
- Program to Put all together
Section 5 : OOP in Python
- Lecture 1 :
- Core Python OOP: Classes and Instances
- Lecture 2 :
- Core Python OOP: Exploring Inheritance
Section 6 : Advanced Concepts
- Lecture 1 :
- Concise Comprehensions
- Lecture 2 :
- Constructed modules and random
- Lecture 3 :
- Doing mathematics
- Lecture 4 :
- Doing statistics
- Lecture 5 :
- Errors Exploration
- Lecture 6 :
- Exceptions Playground
Section 7 : Python Data Handling
- Lecture 1 :
- IO data in memory
- Lecture 2 :
- Interacting with operating system data
- Lecture 3 :
- Moving data files between directories
- Lecture 4 :
- Data will be in the trash bin
- Lecture 5 :
- Zipping and Unzipping Data
Section 8 : Numerical Python(NumPy)
- Lecture 1 :
- NumPy Level 1
- Lecture 2 :
- NumPy Level 2
- Lecture 3 :
- NumPy Level 3
- Lecture 4 :
- NumPy Level 4
- Lecture 5 :
- NumPy Level 5
- Lecture 6 :
- NumPy Level 6
- Lecture 7 :
- NumPy Level 7
- Lecture 8 :
- NumPy Level 8
- Lecture 9 :
- NumPy Level 9
Section 9 : Data Analysis with Pandas
- Lecture 1 :
- Pandas Data Analysis Level 1
- Lecture 2 :
- Pandas Data Analysis Level 2
- Lecture 3 :
- Pandas Data Analysis Level 3
- Lecture 4 :
- Pandas Data Analysis Level 4
- Lecture 5 :
- Pandas Data Analysis Level 5
- Lecture 6 :
- Pandas Data Analysis Level 6
Section 10 : Data Visualization with Matplotlib
- Lecture 1 :
- Matplotlib Data Visualization Level 1
- Lecture 2 :
- Matplotlib Data Visualization Level 2
- Lecture 3 :
- Matplotlib Data Visualization Level 3
- Lecture 4 :
- Matplotlib Data Visualization Level 4
- Lecture 5 :
- Matplotlib Data Visualization Level 5
- Lecture 6 :
- Matplotlib Data Visualization Level 6
- Lecture 7 :
- Matplotlib Data Visualization Level 7
Section 11 : Advanced Graphics with Seaborn
- Lecture 1 :
- Seaborn Statistical Graphs Level 1
- Lecture 2 :
- Seaborn Statistical Graphs Level 2
- Lecture 3 :
- Seaborn Statistical Graphs Level 3
- Lecture 4 :
- Seaborn Statistical Graphs Level 4
- Lecture 5 :
- Seaborn Statistical Graphs Level 5
- Lecture 6 :
- Seaborn Statistical Graphs Level 6
- Lecture 7 :
- Seaborn Statistical Graphs Level 7
Section 12 : Resources
- Lecture 1 :
- Python Programming
- Lecture 2 :
- NumPy
- Lecture 3 :
- Pandas
- Lecture 4 :
- Matplotlib
- Lecture 5 :
- Seaborn
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.Can i play & pause the course as per my convenience?
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Instructor
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