Take a deep dive into this 12-course short course on data science using python, which covers the language's fundamentals. Each course provides a thorough understanding of data ideas and how they are used. Following each session, you will put your abilities to use in knowledge checks, quizzes, assignments, and projects that are relevant to your industry.
What you will learn
Following completion of this brief course, you will be able to:
Who is this course for?
Why should I learn Python for Data Science?
The need for Python as a programming language in data science is constantly rising. Python is a programming language that may be used for a variety of tasks, including data analysis, data manipulation, and data visualization. Python is the go-to language for data scientists and individuals without an engineering experience since it is a high-level language that places a strong emphasis on readability and scalability.
What is the job outlook for Data Science with Python programming professionals?
Harvard Business Review has named Data Scientist as the ‘Sexiest Job of the 21st Century.’ The LinkedIn Emerging Careers Report 2021, which lists data science specialists as one of the top emerging jobs with Python as one of its important skills, also reflects this. With a 35 percent yearly growth for data scientists and data engineers, the job outlook is positive.
Do I need coding experience to learn Python?
Although it is not necessary to have prior coding experience, any knowledge or familiarity with another object-oriented programming language can make learning Python easier for you.
This course is appropriate for students with any degree of programming experience because there is a growing demand for data science and Python programmers. For analytics specialists eager to work with Python, software and IT professionals interested in the subject of analytics, and anyone with a sincere interest in data science, this course on data science with Python is helpful.
It is advised that you start with the following courses: Introduction to Data Science in Python, Math Refresher, Data Science in Real Life, and Statistics Essentials for Data Science to get the most out of your comprehension in the Python Data Science course. These programs are provided complimentary with this training.