Python for Data Science and Machine Learning Essential Training Part 2 / with Lillian Pierson, P.E..

Format:

Video

Author/Creator:

Pierson, P.E., Lillian, speaker.

Contributor:

linkedin.com (Firm)

Language:

English

Genre:

Instructional films.

Educational films.

Physical Description:

1 online resource

Place of Publication:

Carpenteria, CA : linkedin.com, 2024.

System Details:

Latest version of the following browsers: Chrome, Safari, Firefox, or Internet Explorer. Adobe Flash Player Plugin. JavaScript and cookies must be enabled. A broadband Internet connection.

Summary:

In the second half of this two-part course, explore the essentials of using Python for data science and machine learning.

If you are a working professional who wants to use business data to make improved decisions through predictive analytics, this course can help you. Lillian Pierson-engineer, CEO, and the head of product at Data-Mania-guides you through a robust combination of basic data science coding experience, demonstrations, challenges, solutions, and exercises that you can quickly apply in customized data analyses and analytics projects. Learn best practices for data cleaning, data visualization, data analysis, and Python programming. By the end of the course, you will be able to use Python to: Clean, reshape, reformat, and describe data Generate data visualizations for data presentation and visual exploratory analysis Identify and remove outliers Perform simple data analysis Source, scape, and analyze data from the internet Generate collaborative analytics assets using Plot.ly

Participant:

Presenter: Lillian Pierson, P.E.

Notes:

7/30/202412:00:00AM

Access Restriction:

Restricted for use by site license.