Foundations of Python and Data Science

It is indisputable that skills in Python and data science are in high demand today, and in many ways, these skills are now often a gateway to a fast-track career in both technology and business. While it is a highly flexible and powerful programming language, the beauty of Python lives in the fact it is easy to learn, easily written, and executed much faster than other programming languages. In this course, we take you through the foundations of Python, and then into its application in data science.

3courses
Certificate of completion
Theodore Petrou
Woody Lewenstein
Matt Harrison
core
Agility
40 hours 25 minutes

Course Overview

It is indisputable that skills in Python and data science are in high demand today, and in many ways, these skills are now often a gateway to a fast-track career in both technology and business.  While it is a highly flexible and powerful programming language, the beauty of Python lives in the fact it is easy to learn, easily written, and executed much faster than other programming languages. In this course, we take you through the foundations of Python, and then into its application in data science.

Course Includes

2.8K
STUDENTS*
97%%
RECOMMEND*

This journey includes:

  • 40+ hours of on-demand video
  • 23 modules
  • Core level
  • Direct access/chat with the instructor
  • 100% self-paced online
  • Many downloadable resources
  • Shareable certificate of completion

Skills You Will Gain

Big Data
Data Analysis
Pandas
Python

Learning Outcomes (At the end of this program, you will be able to...)

  • Understand the object model of Python
  • Leverage the REPL
  • Master math with Python
  • Understand Unicode and string manipulation
  • Use conditionals and loops
  • Master the basic data structures like lists and dictionaries
  •  Create functions to enable code reuse
  •  Learn how to slice sequences
  •  Understand how to create and leverage classes
  •  Learn about exceptions and exception handling
  •  Create environments and load libraries

Who Should Attend

Professionals looking to develop a solid understanding of Python and its use in the data science field.

Curriculum

Explore the comprehensive, hands-on curriculum designed to build your expertise in everything from business functions.

Meet Your Expert Instructors

Matt Harrison

Matt Harrison

Data Science
VIEW MY CHANNEL
Woody Lewenstein

Woody Lewenstein

Business
VIEW MY CHANNEL
Theodore Petrou

Theodore Petrou

Data Science
VIEW MY CHANNEL

Frequently Asked Questions

How much do the courses at Starweaver cost?

We offer flexible payment options to make learning accessible for everyone. With our Pay-As-You-Go plan, you can pay for each course individually. Alternatively, our Subscription-Based plan provides you with unlimited access to all courses for a monthly or yearly fee.

Do you offer any certifications upon completion of a course at Starweaver?

Yes, we do offer a certification upon completion of our course to showcase your newly acquired skills and expertise.

Does Starweaver offer any free courses or trials?

No, we don't offer any free courses, but we do offer 5-day trial only on our subscriptions-based plans.

Are Starweaver's courses designed for beginners or advanced students?

Our course is designed with three levels to cater to your learning needs - Core, Intermediate, and Advanced. You can choose the level that best suits your knowledge and skillset to enhance your learning experience.

What payment options are available for Starweaver courses?

We accept various payment methods such as major credit cards, PayPal, wire transfer, and company purchase orders. For more information related to payments contact customer support.

Do you offer refunds?

Yes, we do offer a 100% refund guarantee for our courses within a specified time frame. If you are not satisfied with the course, contact our customer support team to request a refund with your order details. Some restrictions may apply.

*Where courses have been offered multiple times, the “# Students” includes all students who have enrolled. The “%Recommended” shown is also based on this data.