Published on: 2024-07-27 15:06:58
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Programming for Data Science Online Training is a programming training course for data science published by Udemy Online Academy. Programming for data science involves using programming skills to collect, process, analyze, and visualize data to extract meaningful insights and inform decision making. It is a multidisciplinary field that combines elements of computer science, statistics, and domain knowledge to solve complex problems using data. Programming for data science is a powerful skill set that enables professionals to harness the potential of data. By combining programming skills with statistical knowledge, data scientists can discover patterns, build predictive models, and communicate insights effectively.
Mastery of the programming languages, tools, and techniques in data science is essential for anyone seeking to excel in this rapidly evolving field. This intermediate programming course for data science prepares you to write code that makes sense of unstructured collections from multiple channels and sources and processes the information you need. After completing this training course, you will be able to do coding and programming for data science on your own and you will no longer need other people’s codes. In this course, you will learn about topics such as writing reusable Python functions for data science, writing Python code using object-oriented programming (OOP), data visualization with Matplotlib and Seaborn, and working with Numpy and Pandas. .
Publisher: CBTNuggets
Instructors: Jonathan Barrios
Language: English
Level: Intermediate
Number of Lessons: 155
Duration: 20 hours and 4 minutes
None.
After Extract, watch with your favorite Player.
Subtitle: None
Quality: 1080p
10.9 GB
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