Python Programming II: Exploratory Statistics

COM SCI X 418.105

Get an introduction to core concepts in probability and statistics that will be useful throughout your data science career. This course also introduces students to important Python tools used by data scientists. 

READ MORE ABOUT THIS COURSE
Online
Starting at $995.00
As few as 10 weeks
4.0
3.3

What you can learn.

  • Understand probability and statistics through computer experimentation, as opposed to learning
    through the axiomatic, deductive process
  • Distill results from experiments, building intuition into key concepts
  • Become familiar with Python tools used by data scientists
  • Determine when to terminate a process and draw a conclusion
  • Grasp the philosophy of conceptual understanding through concrete example
  • Understand how to apply the conceptual material to regression modeling

About this course:

As probability and statistics are fundamental to machine learning algorithms, practitioners in data science must be familiar with basic statistical concepts. This course introduces practitioners to material from probability and statistics that will be useful throughout their career. There are four areas where this course differs from a standard probability and statistics course. First, as opposed to learning through the axiomatic, deductive process, students learn through computer experimentation, where they distill results from experiments, building intuition into key concepts. Second, students become familiar with Python tools used by data scientists. Third, the course introduces fundamental concepts, but emphasis is given to material that is of greatest value to practitioners and gives practical guidance for issues that the practitioner confronts. Finally, the course ends by applying the conceptual material to regression modeling.
Prerequisites

Programming: The student is expected to have basic programming skills that one would obtain from experience with a high-level language. Knowledge of Python would be helpful but is not required. Students without Python experience are welcome and must be prepared to learn the basics on their own. Mathematics: Precalculus is the only prerequisite. Students with a stronger background will have the opportunity to investigate topics in more depth and will find some material more accessible.

Summer 2021 Schedule

Available Format(s):

Course content is delivered through an online learning platform where you can engage with your instructor and classmates. There are no required live meetings, but assignments are due regularly.

Available
-
This section has no set meeting times.
379035
Fee:
$995.00
Still accepting enrollments
See Details
Notes
Enrollment limited. Enrollment deadline: June 27, 2021. Internet access required. Materials required.
Refund Deadline
No refunds after June 25, 2021

Available Format(s):

Course content is delivered through an online learning platform where you can engage with your instructor and classmates. There are no required live meetings, but assignments are due regularly.

Future Offering (Opens July 26, 2021 12:00:00 AM)
-
This section has no set meeting times.
381332
Fee:
$995.00
See Details
Notes
Enrollment limited. Enrollment deadline: September 26, 2021. Internet access required. Materials required.
Refund Deadline
No refunds after September 24, 2021

Available Format(s):

Course content is delivered through an online learning platform where you can engage with your instructor and classmates. There are no required live meetings, but assignments are due regularly.

Future Offering (Opens November 01, 2021 12:00:00 AM)
-
This section has no set meeting times.
383298
Fee:
$995.00
See Details
Notes
Enrollment limited. Enrollment deadline: January 9, 2022. Internet access required. Materials required.
Refund Deadline
No refunds after January 07, 2022

Contact Us

Our team members are here to help. Hours: Mon-Fri, 8am-5pm.

This course applies towards the following certificates & specializations…

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