Data Science and Machine Learning: A Practical Guide
Dive Deep into Data Analysis, Visualization, and Predictive Modeling – Excel in the World of Data Science
4.86 (50 reviews)
133
students
17.5 hours
content
Jun 2024
last update
$74.99
regular price
What you will learn
Data Manipulation: Learn how to effectively manipulate and transform data using Python libraries such as Pandas, NumPy, and SciPy.
Data Analysis: Develop the ability to explore and analyze datasets using Python's powerful data visualization libraries like Matplotlib and Seaborn.
Gain hands-on experience in conducting EDA, including using tools like Pandas Profiling, DABL, and Sweetviz to analyze and visualize datasets.
Master the essential concepts of Python programming, including data types, tuples, lists, dicts, basic operators, and functions.
Gain an in-depth understanding of Data Science processes: data wrangling, data exploration, data visualization, hypothesis building, and testing
Apply knowledge and actionable insights from data across a broad range of application domains.
5363290
udemy ID
6/3/2023
course created date
7/6/2023
course indexed date
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