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Python for Data Science
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Course
Python for Data Science
Kickstart your programming journey with Python. Learn the essentials step by step and build a strong foundation for data science and beyond.
Flexible Schedule
Beginner Level
Mentor Support
Estimated Time
This introductory course will kickstart your learning of Python for data science, as well as introduce you to programming in general. It is a beginner-friendly course that will take you from zero to programming in Python in a matter of hours.
During this course, you will learn to write your own Python scripts and perform basic hands-on data analysis using our Jupyter-based lab environment. You will discover why Python is so useful and how you can apply it. Plus, you will explore how to define variables, sets, and conditional statements in Python.
As you progress through the course, you will build an in-depth understanding of the purpose of functions in Python. You will investigate how to operate on files to read and write data in Python. Plus, you will learn how to use pandas, a key package for anyone working on data analysis in Python.
Once you have completed this course, you will be able to create your own data science projects and collaborate with other data scientists using IBM Watson Studio. Note, when you enroll, you get free access to Watson Studio.
This course comprises five purposely designed modules that take you on a carefully defined learning journey.
It is a self-paced course, which means it is not run to a fixed schedule with regard to completing modules. It is anticipated that you will complete the course in 18 hours. However, as long as the course is completed by the end of your enrollment, you can work at your own pace. And dont worry, youre not alone! You will be encouraged to stay connected with your learning community 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 discussion space, videos, reading material, quizzes, hands-on labs, quizzes and final assignment.
Once you have successfully completed the course, you will earn your IBM Certificate.
You will:
- Understand the application of Python.
- Be able to define variables.
- Understand sets and conditional statements in Python.
- Appreciate the purpose of having functions in Python.
- Know how to operate on files to read and write data in Python.
- Know how to use pandas.
- Individuals keen to build skills in Python for data analysis.
- Aspiring data scientists with no experience of programming.
- Working professionals who want to build skills for a career in data science.
- Data scientists keen to build their programming skills in Python.
Basic math skills.
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.
FAQs
The Python for Data Science course is a beginner-friendly program designed to teach Python from scratch, focusing on its applications in data analysis and data science. It is ideal for students, professionals, and anyone looking to start a career in data science.
No prior programming experience is required. A basic understanding of math is helpful, but this Python for Data Science course is designed for beginners.
This self-paced Python for Data Science course allows learners to progress at their own speed. Many learners complete the core modules in a few hours, but you can take as long as needed to fully understand the concepts and practice as long as you complete the course by the given deadline.
Youll learn Python basics, data structures, programming fundamentals, file handling, and working with libraries like NumPy and Pandas. Youll also gain hands-on experience analyzing data using Jupyter notebooks, preparing you for data science roles.
Yes. The Python for Data Science course uses a Jupyter-based lab environment, allowing you to practice coding, manipulate data, and perform basic analysis through hands-on exercises.
The syllabus covers Python basics, data structures (lists, tuples, sets, dictionaries), programming fundamentals (loops, functions, classes), working with files, Pandas for data analysis, and NumPy arrays. You will also learn to work with simple APIs.
By learning Python for Data Science, youll gain essential programming and data analysis skills that are widely used in entry-level data analyst and data science roles. The practical experience and IBM Python for Data Science certificate will strengthen your resume for job opportunities.
Yes. Upon successfully completing the course, you will receive an IBM Certificate, which validates your programming and data analysis skills for employers.
Absolutely. This course covers Python basics, data handling with Pandas, and array manipulation with NumPy, giving you practical skills to analyze datasets and perform basic data science tasks.
Yes. You can take the course anytime, at your own pace, and revisit the materials as many times as needed to reinforce your learning.
You will use Python programming within a Jupyter-based environment, allowing you to practice coding, data analysis, and hands-on exercises efficiently.
Type of certificate
IBM Certificate
About this course
05 Modules
08 Skills
Includes
Discussion space
17 Hands-on labs
05 Quizzes
01 Final exam
Create
Jupyter Notebook using IBM Watson Studio with Python
List, tuples, sets and dictionaries
Functions
NumPy arrays
Exercises to explore
String Operations
Loops & Functions
Objects and Classes
Reading & Writing Files
Pandas
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