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Python for Data Science, AI & Development - SkillUp Online

This Python for Data Science, AI & Development course/program aims to get you started with Python and give you a taste of how to start working with data in Python.<br>Learn more about the ai & development course: https://skillup.online/courses/python-for-data-science-ai-development/

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Python for Data Science, AI & Development - SkillUp Online

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  1. Python for Data Science, AI & Development Course Learn the fundamentals of Python. Apply your knowledge by solving real-world problems using hands-on exercises.

  2. Course Details Course Certificate • Earn An IBM Certificate About this course • 05 Modules • 01 Skill Includes • Discussion space • 35 Hands-on labs • 03 Exercises • 19 Quizzes • 21 Videos Create • Jupyter Notebook using IBM Watson Studio with Python Exercises to explore • IBM Watson • Python • Jupyter Notebook This course is part of the following programs : IBM Data Science Professional Certificate IBM Applied AI Professional Certificate

  3. Course Overview • Businesses are utilizing the power of data science and artificial intelligence to gain valuable insights through the manipulation of large pools of data. They are using these important sets of skills to provide them with crucial information that gives them a competitive edge. However, in order to be able to explore and analyze this data quickly and accurately, they need expertise in languages such as Python. Individuals with these skills are now in high-demand. • In this AI & Development course, you will gain an understanding of the fundamentals of Python and its purpose. You will learn how to define variables, sets, and conditional statements, as well as discover the use of functions in Python. By taking this course, you will be able to operate on files to read and write data in Python.

  4. Course Modules • 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

  5. How It Works? This course comprises five modules designed to cover a specific set of topics, with each module building on the concepts discussed in the previous one. It is part of the IBM Applied Artificial Intelligence Professional Certificate Program and students are strongly encouraged to complete all six courses in order. It is a self-paced course, so you can work at your own pace. It is anticipated that if you work 2-5 hours per week, you will complete the program in 5 weeks. You can stay connected with your learning community and mentors through the course discussion space. The materials for each course module are accessible from the start of the course and will remain available for the duration of your enrollment. Methods of learning and assessment will include videos, online exams questions and other written exercises. As part of our mentoring service, you will have access to a dedicated space where you can ask questions and resolve issues. Depending on the payment plan you choose, you may also have access to live classes and webinars. Our mentors can provide guidance and support throughout the course. Once you have successfully completed the course, you will earn your IBM Certificate.

  6. Skills You Will Gain • After completing this course, you will have: • Ability to build a program in Python. • Knowledge of Python fundamentals, Python data structures, and working with data in Python. • Familiarity with key Python functions, objects, and classes.

  7. Who Should Enroll On This Course This course is appropriate for technical as well as non-technical learners. The course is specifically aimed at: • Individuals who wish to begin a career in data science or artificial intelligence. • College graduates who are looking to land their first job in data science or artificial intelligence. • Experienced developers who want to improve their data science and AI expertise, as well as participate in projects.

  8. AI & Development Course

  9. THANKSVisit: https://skillup.onlineMail: contact@skillup.online

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