Python Pandas Data Crash Course 2023 Learn by Doing

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Python Pandas Data Crash Course 2023 Learn by Doing

Python Pandas Data Crash Course 2023 Learn by Doing.

Speed up Data Analysis & Visualization with Python Pandas library in easy & simple way also Master using it with SQL.

What you'll learn

  • What is Python Pandas library or module & how to use its methods.
  • How to use pandas in Data Analysis And data Science.
  • Use Python BS4 & Pandas to Scrape a web-page, Analyze and visualize The Scraped Data.
  • Use Python to load Postgres Data Output file.
  • Use Python Pandas to Analyze and visualize Postgres Data Output.
  • Use Python to visualize Postgres Data Output and get your Conclusion about Data

Requirements

Computer and internet.
No primer programming experience needed for this course.

Description

The most important part of data science is understanding the data that is available to data scientists. You will only be able to achieve the best outcomes if you have the correct knowledge of data and the appropriate data for the task at hand. The analysis, Visualization, and manipulation of data are all very important in Data Science.

Everything about machine learning and data science is made exceedingly simple with Python. We may easily achieve any desired action by utilizing some of the top libraries available in Python. Pandas is one such package that allows us to examine and manipulate data in order to reduce the complexity and speed up the problem-solving process.

One of the best features available in Python for data analysis operations is the Pandas library. You are capable of doing a wide range of jobs with ease. In this course, we'll look at the various sorts of operations that every data scientist must employ in order to complete a project with the least amount of resources while reaching the maximum level of efficiency.

What you will learn in this course ?

1. Starting with the Basics:

  • Begin by mastering the essential skill of Installing Python 3, setting up your development environment for a seamless coding experience.
  • Discover the functionality of Python IDLE, your interactive playground for writing and executing Python code.
  • Navigate the world of programming environments as you learn how to choose the right Python IDE, ensuring a comfortable learning journey.

2. Harnessing Powerful Tools:

  • Elevate your coding prowess by learning to Install Anaconda, an all-in-one platform for Python coding and data science projects.
  • Explore the capabilities of Online Jupyter for Python Programming, an interactive environment for data exploration and analysis.
  • Gain confidence as you navigate and utilize the features of Python IDLE, building a strong foundation for your coding endeavors.

3. Grasping Fundamentals:

  • Delve into the core concepts as you decipher Variables & Operators in Python, understanding their pivotal roles in programming.
  • Uncover the various Operator Types available in Python, empowering you to manipulate data with finesse.
  • Develop a deep understanding of Python Data Types, the building blocks of your programs.

4. String Manipulation and Input Handling:

  • Manipulate and process text efficiently by mastering String Functions & Entries in Python.
  • Learn how to gather user input effectively through the Input String Function, enhancing interactivity in your programs.

5. Building Robust Structures:

  • Explore the realm of Python Data Structures, such as Lists, Dictionaries, and Tuples, discovering their unique strengths and applications.
  • Learn to construct Lists and perform various operations, equipping you with versatile data handling skills.
  • Dive into Dictionaries, uncovering their power in storing and retrieving data, along with a range of operations.
  • Master Tuples, understanding their immutability and how they can streamline your code.

6. Controlling Flow and Iteration:

  • Grasp the concept of iteration by understanding For Loops in Python, an essential tool for repetitive tasks.
  • Utilize For Loops to create Sets and perform operations that help manage and manipulate unique data collections.
  • Navigate the intricacies of Control Flow and Loops, gaining a strong foundation in program control and logic.

7. Making Decisions with IF Statements:

  • Learn how to make logical decisions in your code using IF Statements, an indispensable skill for building dynamic applications.

8. Expanding Your Looping Knowledge:

  • Further expand your knowledge of For Loops, exploring advanced techniques for efficient coding.
  • Delve into the world of While Loops, mastering their usage for scenarios that require continuous iteration.

9. Navigating Errors and Functions:

  • Acquire the skills to gracefully handle errors that might arise in your Python programs, ensuring your code's robustness.
  • Dive into the world of Python Functions, learning when and how to implement them to create modular and reusable code.

10. Unleashing the Power of Functions:

  • Expand your understanding of Function Creation in Python, delving into techniques for designing efficient and effective functions.
  • Master the art of concise coding by exploring Lambda Expressions in Python, unlocking new ways to express functionality.

11. Organizing Code with Modules:

  • Discover the importance of Python Modules, learning how to create, utilize, and organize your code effectively.

12. Data Analysis and Visualization:

  • Harness Python's capabilities for data analysis by learning how to use Python to open files and access data from various sources.
  • Dive into the systematic Data Analysis Process, step by step, uncovering insights and trends hidden within datasets.
  • Immerse yourself in the world of Python Pandas Library Methods, acquiring the skills to manipulate and transform data effectively.
  • Explore the application of Python Pandas Library for Data Analysis, discovering its potential for uncovering meaningful patterns.
  • Elevate your insights by mastering Python Pandas Library Data Visualization, visualizing data to communicate findings effectively.

Who this course is for:

Are you want to learn more about Python Pandas library Methods & Functions?
Are you want to learn more about Data Analysis using Python Pandas library?
Are you want to learn more about Python + PostgreSQL?
Use Python bs4 & Pandas to Scrape a webpage, Analyze and visualize The Scraped Data.



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