Python for Data Science and AI

• When will I have access to the lectures and assignments?

  Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:

  • The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
  • The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

• What will I get if I subscribe to this Certificate?

  When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

• How can I earn an IBM Badge?

  To earn an IBM Badge that recognizes your competence in Python for data science and AI, take this course as part of one of the following programs: 

  -​ IBM Applied AI Professional Certificate 

  -​ Applied Data Science Specialization 

  -​ IBM Data Science Professional Certificate 

• What will I learn in this course?

  This course consists of four modules. 

  Module 1 - Python Basics 

  oYour first program 

  oTypes 

  oExpressions and Variables 

  oString Operations 

   

  Module 2 - Python Data Structures 

  oLists and Tuples 

  oSets 

  oDictionaries 

   

  Module 3 - Python Programming Fundamentals 

  oConditions and Branching 

  oLoops 

  oFunctions 

  oObjects and Classes 

   

  Module 4 - Working with Data in Python 

  oReading files with open 

  oWriting files with open 

  oLoading data with Pandas 

  oNumpy  

   

  Finally, you will create a project to test your skills. 

More questions? Visit the Learner Help Center.