Enroll Course: https://www.udemy.com/course/analiza-danych-w-python-i-pandas/
Are you looking to dive into the world of Data Science and harness the power of Python? If so, the Udemy course ‘Data Science: Analiza danych w Python i PANDAS’ is an excellent starting point, especially if you already have a foundational understanding of Python. This course focuses on Pandas, a crucial library for data manipulation and analysis in Python, making it an indispensable tool for any aspiring data scientist.
The course is designed for those who understand basic Python programming and have a general grasp of data analysis concepts, similar to tasks performed in Excel. It doesn’t shy away from the practicalities, emphasizing hands-on learning with quizzes and practical exercises accompanying each lesson. The instructor believes that true learning comes from doing, not just watching, and this philosophy is evident throughout the extensive 13+ hours of video content.
What sets this course apart is its detailed approach. It doesn’t just skim the surface; it delves into the core functionalities of Pandas, starting with the essential ‘Data Series’ object, which forms the backbone of many other Pandas operations. From there, it progresses to ‘Data Frames,’ enabling you to work with multiple columns and build your own data analyses. The course also covers data modification techniques, such as adding rows and columns, reshaping indices, and preparing data for analysis.
You’ll learn how to perform advanced analyses, including multi-level indexing, pivoting data, creating pivot tables, grouping and aggregating data to uncover hidden patterns and dependencies, and merging data from various sources. While Pandas has plotting capabilities, the course acknowledges that for more advanced visualizations, a dedicated course on Matplotlib would be beneficial, but it provides enough information to get you started with creating basic charts.
The course begins with setting up your development environment, primarily focusing on Windows but with notes for Linux and macOS users. It covers setting up Jupyter Notebook, configuring it, adding packages, and utilizing keyboard shortcuts for efficiency. The instructor understands that some might be eager to jump straight into Pandas, so these introductory lessons can be revisited later.
All necessary datasets for the exercises are provided, and the instructor often shares the sources, encouraging you to explore further. The course concludes with essential topics like reading and writing data from various external sources, including the internet and Excel files.
While this course is not for absolute beginners to programming, it’s a robust practical guide for anyone ready to take their Python skills to the next level in data science. The ability to rewatch lessons, control playback speed, and practice with provided materials makes it a highly effective learning experience. If you’re serious about data analysis with Python, this course is a strong recommendation.
Enroll Course: https://www.udemy.com/course/analiza-danych-w-python-i-pandas/