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
Fee
This course is part of a program:
If you wish, you can enroll for the program also or enroll this course individually.
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.
Course Outline
Why Learn with SkillUp Online?
We believe every learner is an individual and every course is an opportunity to build job-ready skills. Through our human-centered approach to learning, we will empower you to fulfil your professional and personal goals and enjoy career success.
Reskilling into tech? We’ll support you.
Upskilling for promotion? We’ll help you.
Cross-skilling for your career? We’ll guide you.
Personalized Mentoring & Support
1-on-1 mentoring, live classes, webinars, weekly feedback, peer discussion, and much more.
Practical Experience
Hands-on labs and projects tackling real-world challenges. Great for your resumé and LinkedIn profile.
Best-in-Class Course Content
Designed by the industry for the industry so you can build job-ready skills.
Job-Ready Skills Focus
Competency building and global certifications employers are actively looking for.
Course Offering
Type of certificate
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 has been created by
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FAQs
Python is actually used a lot in both AI and data science. Its a very popular language for those who work in both fields. The reason for this is that its both easy to learn and easy to use, and many of the data analysis and visualization tasks carried out by data scientists utilize coding in Python. This means that often vacancies advertised stipulate Python as a required skill. With this in mind, therefore, if youre starting out in programming, then Python is an excellent first language to learn to begin your journey.
This is an interesting question for there is a hot debate in data science about two key languages; R and Python. IBM highlights on their website that both languages have their strengths and their weaknesses. However, they also have their similarities, and interestingly, both languages work well for many data science tasks, such as data manipulation and big data exploration. In general, though, where Python is considered a general-purpose programming language, R has grown directly from statistical analysis. The question that experienced data scientists are asking, therefore, is not which is best for data science, but when is it best to use each language.
You can discover more on this topic in this article written by IBM: www.ibm.com/cloud/blog/python-vs-r
By the end of taking this course, Python for Data Science, AI & Development, you will have the ability to build a program in Python, you will have knowledge of Python fundamentals, and you will have an understanding of Python data structures.
The program is run entirely online. You will not be required to attend any classes in person. To enable this, therefore, you do need to have appropriate access to the internet plus the required technology to be able to use the course materials, which are in the form of articles, videos, and knowledge checks. You will also be encouraged to connect with others on the course through the discussion space... so you need never feel alone.
Yes, if you successfully complete this course, you will earn an IBM Professional Certificate in the subject. However, it's worth noting that it is part of the IBM Applied AI Professional Certificate Program, and thus you will also be one step closer to obtaining IBM Applied AI Professional Certification too if that is a route you are planning to take.
Yes. As long as you have access to the internet and the necessary technology to use the course materials and complete the assignments e.g., articles, videos, and Q&A knowledge checks, you be able to start looking at the course material as soon as you enroll. You will access them through your Dashboard.
Course Offering
Type of certificate
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 has been created by
Newsletters & Updates
Subscribe to get the latest tech career trends, guidance, and tips in your inbox.