Python for Data Science
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Course
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.
Self-Paced
Mentored
BEGINNER
Duration
4 hours/week
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 dont worry, youre 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
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.
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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
08 Skills
Includes
Discussion space
14 Hands-on labs
19 Videos
05 Review questions
01 Final exam
Create
Jupyter Notebook using IBM Watson Studio with Python
List, tuples, sets and dictionaries
Functions
NumPy arrays
Exercises to explore
Write your first Python code
String operations
Lists and tuples
Sets
Dictionaries
Lab-conditions and branching
Loops (external resource)
Functions (external resource)
Objects and classes
Reading files
Writing files
IBM Watson Studio and pandas
Working with 1 D-Numpy arrays
Working with 2 D-Numpy arrays
This course has been created by
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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. Its 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.
Learning Python for data science as a beginner involves a few structured steps. Start with the basics of Python programming, such as understanding syntax, data types, and control structures, and then slowly move on to advanced topics one at a time. Enrolling in this Python for Data Science course can provide a structured learning path, practical exercises, and access to expert guidance that you need.
Yes, Python is extremely important for a career in data science due to its versatility, ease of learning, and robust ecosystem of libraries and frameworks tailored for data manipulation, statistical analysis, and machine learning. Python's simple and readable syntax makes it accessible for beginners, allowing you to quickly grasp and apply it to complex data science problems. The extensive range of libraries, such as Pandas, NumPy, Scikit-Learn, and Matplotlib, provides essential tools for various tasks in data science, enhancing productivity and efficiency.
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, youll 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 resum.
This IBM-certified course comprises five purposely designed modules that take you on a carefully defined learning journey.
Course Offering
Type of certificate
IBM Certificate
About this course
05 Modules
08 Skills
Includes
Discussion space
14 Hands-on labs
19 Videos
05 Review questions
01 Final exam
Create
Jupyter Notebook using IBM Watson Studio with Python
List, tuples, sets and dictionaries
Functions
NumPy arrays
Exercises to explore
Write your first Python code
String operations
Lists and tuples
Sets
Dictionaries
Lab-conditions and branching
Loops (external resource)
Functions (external resource)
Objects and classes
Reading files
Writing files
IBM Watson Studio and pandas
Working with 1 D-Numpy arrays
Working with 2 D-Numpy arrays
This course has been created by
Newsletters & Updates
Subscribe to get the latest tech career trends, guidance, and tips in your inbox.