Python for Data Science, AI & Development
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Course
Python for Data Science, AI & Development
Build your knowledge of the fundamentals of Python. Solve real-world problems in Python through hands-on exercises.
Develop highly sought-after skills in one of the world’s most popular programming languages.
Self-Paced
Mentored
Beginner
Duration
2–5 hours/week
With the power of data science and AI at their fingertips, businesses are gaining valuable insights through the manipulation of large pools of data. By utilizing an important set of skills, data scientists are presenting organizations with crucial information that gives them a competitive edge. However, in order to be able to explore and analyze this data quickly and accurately, data scientists need expertise in languages such as Python. This means individuals who have these skills are now in high-demand.
In this course, you will be introduced to the fundamentals of Python, what it is, and how it is used. You learn how to define variables, sets, and conditional statements. You will discover the purpose of functions in Python. Plus, you will learn how to use pandas, and how to operate on files to read and write data in Python.
For ambitious individuals seeking to excel in the fields of data science and AI, mastering Python is a critical step for a successful career. This course will introduce you to the fundamentals of this key competence and enable you to move towards your goal.
This course comprises five purposely designed modules that take you on a carefully defined learning journey. If you are thinking about taking the course separately, it is worth noting that it is part of the IBM Applied AI Professional Certificate Program and you may want to consider enrolling for the whole program rather than just enrolling for one course at a time.
It is a self-paced course, which means it is not run to a fixed schedule with regard to completing modules or submitting assignments. To give you an idea of how long the course takes to complete, it is anticipated that if you work 2-5 hours per week, you will complete the program in 5 weeks. However, as long as the course is completed by the end of your enrollment, you can work at your own pace. And you will be encouraged to stay connected with your learning community and mentors through the course discussion space.
The materials for each 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, reading material, and online exams questions.
As part of our mentoring service you will have access to valuable guidance and support throughout the course. We provide a dedicated discussion space where you can ask questions, chat with your peers, and resolve issues. Depending on the payment plan you have chosen, you may also have access to live classes and webinars, which are an excellent opportunity to discuss problems with your mentor and ask questions. Mentoring services will vary across packages.
Once you have successfully completed the course, you will earn your IBM Certificate.
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.
This course is suitable for learners with both technical and non-technical backgrounds.
The course is specifically aimed at:
- Individuals who are keen to begin their career in data science or artificial intelligence.
- College graduates looking to land their first data science or AI job.
- Experienced developers seeking to upskill, enhance their data science and AI knowledge, and participate in projects.
- Familiarity with Jupyter Notebooks.