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Python For Data Science And Machine Learning Essential Training Part 2
Updated: March 19, 2026
Duration: 5h 22m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 700 MB
Level: Intermediate | Genre: eLearning | Language: English
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
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