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Python Data Course: Python for Data Analysis & Visualization

Last updated on April 24, 2024 9:44 pm
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Description

What you’ll learn

  • What is Python libraries or modules & how to use its methods?
  • How to use Numpy + pandas in data Analysis And data Science.
  • How to use Python to manipulate & process data.
  • Data analysis & data visualization using Python.

The key to success in data science is understanding the data at hand. In this comprehensive course, we’ll teach you everything you need to know about data analysis and data science using Python. You’ll learn how to use Python libraries like Numpy and Pandas to manipulate and process data, and how to visualize your findings for maximum impact.

Whether you’re a beginner or an experienced data scientist, this course will take you from the basics of Python to advanced techniques in data analysis. You’ll learn how to install Python, use Python IDEs, and create Python modules. You’ll also learn how to use Numpy and Pandas to manipulate data, process images, and perform data analysis and visualization.

With step-by-step examples and hands-on exercises, you’ll gain practical knowledge and skills that you can apply to real-world data science problems. By the end of this course, you’ll have a solid understanding of Python and be able to write Python code to analyze, process, and visualize data.

What you will learn in this course:

– Learn Python fundamentals step by step, from installation to syntax to IDEs.

– Use Numpy and Pandas libraries to manipulate and process data.

– Understand different data types and how to work with them in Python.

– Create Python modules and use them to open and manipulate files.

– Perform data analysis and visualization with Numpy and Pandas.

– Process images using Numpy libraries.

– Handle errors and use control flow and loops to optimize your Python programs.

This comprehensive course is perfect for anyone looking to learn data science and Python programming. With these tutorials, you’ll go from beginner to pro under the guidance of an experienced data science instructor.

The hands-on projects and exercises will give you practical experience in:

– Importing, cleaning, and wrangling datasets using Pandas

– Statistical analysis and machine learning with Numpy

– Creating insightful data visualizations with Matplotlib

– Building end-to-end data pipelines and Python scripts

These are the exact skills top companies like Google, Facebook, and Microsoft are looking for in data professionals.

Learning by doing is the best way to master new skills. This course provides you with downloadable datasets, Python code templates, mini-projects and more to actively practice as you learn. With our expert instructor guiding you, you’ll be ready for a career in data in no time!

If you want to future-proof your career and break into the exciting world of data science, Python is a must-have skill. Enroll in this best-selling course and start your journey today!

Who this course is for:

  • Are you want to learn more about Python data libraries Methods & Functions?
  • Are you want to learn more about Data Analysis using Python libraries?
  • Are you want to learn more about Pandas + Numpy?

Course content

  • Python Environment Preparing4 lectures • 25min
  • Python Environment Preparing
  • Python Refresher7 lectures • 1hr 40min
  • Python Refresher
  • Object Oriented Programming (OOP) In Python9 lectures • 59min
  • Object Oriented Programming (OOP) In Python
  • Refresher Project 13 lectures • 17min
  • Refresher Project 1
  • Refresher Project 24 lectures • 23min
  • Refresher Project 2
  • Refresher Project 33 lectures • 17min
  • Refresher Project 3
  • Data Analysis Process.1 lecture • 3min
  • Data Analysis Process.
  • Python Numpy9 lectures • 1hr 1min
  • Python Numpy
  • Python Pandas Data Analysis & Visualization11 lectures • 46min
  • Python Pandas Data Analysis & Visualization
  • Web Scraping & Data Analysis Using Python & SQL.4 lectures • 31min
  • Web Scraping & Data Analysis Using Python & SQL.

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