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| File Name: | Python Data Mastery: From Basics to Advanced Analysis |
| Content Source: | https://www.udemy.com/course/python-data-mastery-from-basics-to-advanced-analysis/ |
| Genre / Category: | Programming |
| File Size : | 3.6 GB |
| Publisher: | udemy |
| Updated and Published: | January 30, 2024 |
In the “Python for Data Analysis” course, students will acquire a comprehensive set of skills and knowledge that empowers them to effectively use Python for analyzing and manipulating data. The course covers a wide range of topics to ensure a well-rounded understanding, from foundational programming concepts to advanced data analysis techniques. Here’s an overview of what students will learn:
Module 1: Introduction to Python Programming
- Foundations of Programming:
- Understanding basic programming concepts.
- Exploring the Python programming language.
- Setting Up the Environment:
- Installing and configuring Python and an integrated development environment (IDE).
- Python Basics:
- Mastering Python syntax, variables, and data types.
- Implementing control flow through if statements and loops.
- Functions and Modules:
- Writing functions for code modularity.
- Exploring Python modules and libraries.
Module 2: Data Handling in Python
- Data Structures in Python:
- Working with lists, dictionaries, and tuples.
- Understanding their use in data handling.
- Introduction to NumPy and Pandas:
- Using NumPy arrays for numerical operations.
- Exploring Pandas for data manipulation with DataFrames.
Module 3: Data Visualization with Matplotlib and Seaborn
- Data Visualization Basics:
- Understanding the importance of visualizing data.
- Creating basic plots using Matplotlib.
- Advanced Data Visualization with Seaborn:
- Enhancing visualizations with Seaborn.
- Creating informative and aesthetic charts and graphs.
Module 4: Introduction to Data Analysis with Pandas and NumPy
- Data Cleaning and Preprocessing:
- Handling missing data and outliers.
- Transforming and cleaning data for analysis.
- Data Analysis with Pandas:
- Performing basic data analysis tasks using Pandas DataFrames.
- Aggregating, grouping, and filtering data.
Module 5: Capstone Project: Data Analysis with Python
- Capstone Project:
- Applying Python programming and data analysis skills to a real-world project.
- Presenting findings and insights derived from the analyzed data.
DOWNLOAD LINK: Python Data Mastery: From Basics to Advanced Analysis
Python_Data_Mastery_From_Basics_to_Advanced_Analysis.part1.rar – 995.0 MB
Python_Data_Mastery_From_Basics_to_Advanced_Analysis.part2.rar – 995.0 MB
Python_Data_Mastery_From_Basics_to_Advanced_Analysis.part3.rar – 995.0 MB
Python_Data_Mastery_From_Basics_to_Advanced_Analysis.part4.rar – 306.0 MB
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