MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.
The course will illustrate how Python is utilized in the exciting field of business analytics through real-world examples and hands-on exercises. With an emphasis on interactivity, students will code alongside the course materials. By the end of this course, students will have developed a strong understanding of programming principles, gained proficiency in Python syntax, and developed the skill to apply Python functions to basic analytic problems.
This course is part of the Business Analytics Fundamentals for Data Driven Decisions Professional Certificate.
What you'll learn
Upon completion of this course, students should be able to:
1. Install and use the Anaconda distribution of Python through the creation of Jupyter notebooks.
2. Understand and use variables in Python
3. Work with common Python data types including float, integer, string, boolean, lists, and tuples
4. Create expression in Python with variables, relational operators, and boolean operators
5. Implement basic program flow control with if statements and loops
6. Read data from and write data to text files.
7. Utliize important analytic libraries like Numpy
8. Understand how to implement and adequately test algorithms in Python
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.