COURSE
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Starts on 08 June 2021
Enrollment closes on |
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Fee US$99 - US$199 |
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Starts on 08 June 2021
Enrollment closes on |
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Fee US$99 - US$199 |
Kickstart your learning of Python for data science, as well as programming in general with this introduction to Python course. This beginner-friendly Python course will quickly take you from zero to programming in Python in a matter of hours and give you a taste of how to start working with data in Python.
Upon its completion, you'll be able to write your own Python scripts and perform basic hands-on data analysis using our Jupyter-based lab environment. If you want to learn Python from scratch, this course is for you.
You can start creating your own data science projects and collaborating with other data scientists using IBM Watson Studio. When you sign up, you will receive free access to Watson Studio. Start now and take advantage of this platform and learn the basics of programming, machine learning, and data visualization with this introductory course.
The objectives of this course is to get you started with Python as the programming language and give you a taste of how to start working with data in Python.
In this course you will learn about:
Module 1 - Python Basics
Module 2 - Python Data Structures
Module 3 - Python Programming Fundamentals
Module 4 - Working with Data in Python
Module 5 - Working with Numpy Arrays
PhD., Data Scientist at IBM
Joseph Santarcangelo is currently working as a Data Scientist at IBM. Joseph has a Ph.D. in Electrical Engineering. His research focused on using machine learning, signal processing, and computer vision to determine how videos impact human cognition.
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Once you have completed this course, you will earn your certificate.
Course details
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Get a Free ConsultationPython is actually used a lot in both AI and data science. It’s a very popular language for those who work in both fields. The reason for this is that it’s 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 you’re 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. Thus, with the internet, you will be able to complete the course wherever you live in the world.
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