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Python Pandas Data Crash Course 2023 Learn by Doing.

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Temotec Learning Academy

4:24:10

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  • 001 Introduction.mp4
    02:24
  • 002 Environment Preparing for Python.mp4
    07:59
  • 003 Python2 VS Python3.mp4
    04:05
  • 004 Understanding Data Types in Python.mp4
    10:19
  • 001 Variables, Operators and Data Types in Python.mp4
    07:58
  • 002 String Functions in Python.mp4
    24:12
  • 003 Data Structures in Python.mp4
    35:38
  • 004 Control Flow VS Loops.mp4
    17:21
  • 005 Error Handling in Python.mp4
    01:06
  • 006 Functions in Python.mp4
    06:30
  • 007 Files and Modules in Python.mp4
    06:52
  • 001 Creating Simple Class.mp4
    06:26
  • 002 Overviewing Constructor.mp4
    16:53
  • 003 Learning How to creating Dunder Methods.mp4
    05:27
  • 004 Learning about Inheritance.mp4
    06:43
  • 005 Knowing What is the Encapsulation.mp4
    03:28
  • 006 Learning also about Multiple Inheritance.mp4
    04:12
  • 007 Knowing What is the Overriding.mp4
    05:04
  • 008 Learning about Decorators.mp4
    05:02
  • 009 Learning How to use Build-in Decorators.mp4
    05:44
  • 001 Data Analysis Process.mp4
    03:01
  • 001 SQL PostgreSQL Down and install.mp4
    03:02
  • 002 Database Creation.mp4
    01:09
  • 003 Airlines.zip
  • 003 Database Restore.mp4
    01:13
  • 004 Installing Jupyter Lab & Pandas.mp4
    01:56
  • 005 Using Python Pandas Package to load PostgreSQL the Data Output file.mp4
    09:20
  • 006 Fetchmany and Fetchall.mp4
    02:56
  • 007 Querying Using Python Panadas.mp4
    04:55
  • 008 Pandas methods and functions.mp4
    05:08
  • 009 Visualizing Data.mp4
    08:55
  • 010 Pandas Data Analysis.mp4
    03:57
  • 011 Sampling Error.mp4
    03:55
  • 001 How to Scrape a website in Python.mp4
    13:19
  • 002 Scrape a Table inside a Webpage using Pandas and LXML Python Modules!.mp4
    04:55
  • 003 Data Visualization of the Scraped Data.mp4
    05:55
  • 004 Save The Scraped Data to a Database.mp4
    07:11
  • 001 Thanks.html
  • Description


    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.

    Who is this 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.
  • What You Need to Know?


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


    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 ?

    • Learn Python by doing Examples step by step.

    • In this course you will learn how to Install Python 3.

    • In this course you will learn how to use python IDLE.

    • In this course you will learn how to choose Python IDE to learn coding.

    • In this course you will learn how to Install Anaconda for Python coding.

    • In this course you will learn how to use Online Jupyter for Python Programming.

    • In this course you will learn how to use Python IDLE.

    • In this course you will learn how What the difference between  Variables & Operators in Python.

    • In this course you will learn Operators Types in Python.

    • In this course you will learn Python Data Types.

    • In this course you will learn String Functions & entries in Python.

    • In this course you will learn how to use Input String Function in Python.

    • In this course you will learn Python Data Structures.

    • In this course you will learn how to create Lists & lists operations in Python.

    • In this course you will learn how to create Dictionaries & Dictionaries operations in Python .

    • In this course you will learn how to create Tuples & Tuples operations in Python.

    • In this course you will learn and when to use For Loop in Python. to create Sets & Sets operations in Python.

    • In this course you will learn how and when to use Control Flow and Loops in Python.

    • In this course you will learn IF Statement and control flow in Python.

    • In this course you will learn how and when to use For Loop in Python.

    • In this course you will learn how and when to use While Loop in Python.

    • In this course you will learn how to Handle Errors in your Python programs.

    • In this course you will learn how and when to use Python Functions.

    • In this course you will learn how and when to create functions in Python.

    • In this course you will learn how and when to use Lambda Expression in Python.

    • In this course you will learn how to create and use to Python Modules.

    • Lear how to use Python to open files.

    • Learn Data Analysis Process step by step.

    • Learn coding in Python Pandas Library Methods in this course.

    • Learn coding in Python Pandas Library Data Analysis in this course.

    • Learn coding in Python Pandas Library Data Visualization in this course.

    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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    Temotec Learning Academy
    Temotec Learning Academy
    Instructor's Courses
    Hello there! With over 350,000 happy students enrolled in my courses, I'm thrilled to be sharing my programming and data science expertise with you.As a programmer and data scientist, I've mastered several programming languages, including Python, SQL, JavaScript, R Programming, as well as tools like Excel, Tableau, Jupyter Notebook, Apache Cassandra, Apache Spark, Apache Airflow, Apache Kafka, AWS, and R Studio. I'm passionate about teaching and sharing my knowledge with the community.When I'm not coding, you can usually find me hiking or reading a good book. I believe that lifelong learning is essential for personal development, and my courses are designed to encourage students to continue learning outside of formal education.I update my courses every month to add new sections based on your feedback and requests. So don't wait – enroll in my courses now and start your journey towards mastering programming, web development, data science, data Engineering and Machine Learning!
    Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
    • language english
    • Training sessions 36
    • duration 4:24:10
    • English subtitles has
    • Release Date 2023/12/07