IBM Python Basics for Data Science Free Online Course applications are open for international applicants. An approachable introduction to Python for Data Science is given in this course. Once you’ve completed lab activities, you’ll be prepared to write your first Python scripts independently!

With this introduction to Python course, you can get a head start on studying Python for data science and programming in general. In just a few hours, this introductory-level Python course will take you from knowing nothing to programming in the language and give you a taste of how to begin dealing with data in Python.

After finishing it, you’ll be able to use their Jupyter-based lab environment to develop your own Python scripts and carry out simple, hands-on data analysis. This course is for you if you wish to learn Python from scratch.

Quick Details:

• Offered by: IBM
• Format: Online
• Deadline: Ongoing
• Duration: 3 weeks at 4–10 hours per week
• Subject: Data Analysis & Statistics
• Language: English
• Associated skills: Jupyter, Python (Programming Language), Data Visualization, Data Science, Machine Learning, Watson Studio, Data Analysis
• Gender: Any
• Type: Online Course
• Level: Introductory
• Eligible Nations: All

Syllabus:

• Module 1 – Python Basics
• Module 2 – Python Data Structures
• Module 3 – Python Programming Fundamentals
• Module 4 – Working with Data in Python
• Module 5 – Working with Numpy Arrays

Benefits:

Upon completion of the course, you will discover:

• Learn Python, the most widely used programming language that is simple for newcomers to pick up.
• Gain a foundational understanding of Python for Data Science and Software Development.
• Utilize popular Python libraries like Pandas and Numpy.
• Jupyter Notebooks can be used to create, test, and run Python programs.
• Using APIs and programs like Beautiful Soup, access and scrape data

Note: You have to spend $99 if you require a shareable certificate. Check out their FAQ, to learn more.

Eligibility Criteria:

• Everyone can access this online course for free.
• The maximum age is not specified.
• It is open to students to apply from any academic discipline.
• Given that the course is given online, students must have a stable internet connection.
• Candidates need to be driven to pick up and apply new skills.

How to Apply?

Through edX, online enrollment is possible. To initiate the registration process, click on this link:

                 Apply Now

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For more details, kindly refer to edX’s website.