Data Analysis and Visualization with Python Made Easy

Dive into the world of Python programming with our comprehensive course designed for beginners. In this course, you’ll start your journey with Python, learning the basics from scratch. Python is an open-source programming language recognized for its simplicity and powerful capabilities. With a clear syntax and a vast library of tools at your disposal, coding in Python becomes an easy and enjoyable experience. Understanding how to code in Python is a valuable skill that is highly sought after by employers around the globe. Did you know a junior Python developer can earn an average of $77,000 per year? Join us as we guide you through every topic to help you become a proficient Python programmer and data analyst.

The first section of the course is crafted for those with no prior knowledge, featuring practical exercises that will help you understand data types, define functions, create classes and objects using Object-Oriented Programming (OOP), manage inheritance, read and manipulate text files, control program flow, and handle errors and exceptions. The second section builds on these foundations, teaching you how to create a database with Python, utilize NumPy for working with arrays, import data from CSV or Excel for analysis, handle dates and various formats, export cleaned data back to Excel, and generate graphical representations for better insights. With numerous exercises to apply learned concepts, this course is your gateway to enriching your resume and standing out in your job. With in-demand data analysis skills, you’ll be equipped to apply them in any professional setting.

By the end of this course, you’ll know how to write robust Python code for personal projects or professional tasks, focusing on best practices in OOP, and you will confidently analyze large datasets in Python, enhancing your marketability and professional skills. Enroll now and watch your career flourish!

What you will learn:

• Master the basics of Python programming and data analysis
• Create and manage databases using Python and perform data manipulation
• Visualize data effectively using Python libraries like Matplotlib

Course Content:

• Sections: 2
• Lectures: 20
• Duration: 10 hours

Requirements:

• No prior knowledge needed, designed for complete beginners
• A Windows/Mac computer with a desire to learn

Who is it for?

• Professionals looking to learn Python to enhance their daily tasks
• Developers seeking an agile and comprehensive way to learn Python
• Professionals needing to work with large datasets
• Anyone interested in analyzing large volumes of data

What are you waiting for to get started?

Enroll today and take your skills to the next level. Coupons are limited and may expire at any time!

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