Course HighlightsCOURSE
Python for Data Science

Python for Data Science

Kick-start your data science career learning Python. Go from zero to programming in Python in just a few hours. Plus, discover pandas and learn to write scripts and perform basic data analysis.

Get free access to IBM Watson Studio and start your Python programming journey.

Python for Data Science Highlights

  Course duration

Duration

  • 5 weeks, online
    4 hours/week
  Course Fee

Fee

US$ 99 - US$ 199

Course duration

Duration

  • 5 weeks, online
    4 hours/week
Course Fee

Fee

US$ 99 - US$ 199

This introductory course will kick-start 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. You will explore how to define variables, sets, and conditional statements in Python. 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.

Acquire these critical skills now and kick-start your career in data-science.

This IBM certified 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 or submitting assignments. To give you an idea of how long the course takes to complete, it is anticipated that if you work 3-4 hours per week, you will complete the course 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 don’t worry, you’re not alone! 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 exam 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.

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.
  • Familiarity with Jupyter Notebooks.

Course Outline

Course Certificate

Earn your certificate

Once you have completed this course, you will earn your certificate.

Preview digital certificate
Python for Data Science

FAQs

Python is an open-source, a high-level programming language that offers a powerful approach to object-oriented programming. It is free to use. It’s easy to get started using Python.  Plus, it has a lot of capability for dealing with mathematics, statistics, and other scientific functions. For these reasons, and many others, Python is therefore one of the most popular languages for data scientists to employ in data science projects and applications.  

Data science is a tremendously rewarding career that offers a lot of room for advancement in the future. The demand for data scientists is strong, incomes are competitive, and benefits are plentiful - which is why the field has been dubbed "the most promising career" by LinkedIn and "the top job in America" by Glassdoor. 

Python is an excellent way to get your data science career started. In just a few hours, you can go from having no programming experience to programming in Python. In addition, you will learn about pandas and how to construct scripts and perform fundamental data analysis. Plus, you’ll get free access to IBM Watson Studio so you can start your Python programming journey right away. 

Individuals interested in developing their Python skills for data analysis should enroll in this course. In addition, aspiring data scientists who have no prior programming skills will benefit too. Plus, this course is also designed for working individuals who wish to develop the skills necessary for a career in data science.  

Before enrolling in this course, you should be familiar with Jupyter Notebooks. 

Yes, you will be issued an IBM Certificate once you have successfully completed Python for Data Science. You can upload this certificate to your LinkedIn profile to confirm the skills you have developed. It also looks great on your resumé. 

This IBM-certified course comprises five purposely designed modules that take you on a carefully defined learning journey.