Course Curriculum Module 1: Pandas Tutorial 1.1 Introduction to Pandas 1.2 Series Object in Pandas 1.3 Dataframe in Pandas 1.4 Merge, Join and Concatenate 1.5 Importing and Analyzing DataSet 1.6 Cleaning the Dataset 1.7 Manipulating the DataSet ...
In this intermediate Python course, learn to visualize real data with Matplotlib's functions and get to know new data structures such as the pandas DataFrame.
Lesson 9 : Python Libraries - Pandas 45:37 Lesson 10 : Python Libraries - Matplotlib 52:08 Lesson 11 : Python Libraries - Scikit-Learn 43:52 Lesson 12 : Web Scraping with Python 52:00 Lesson 13 : Python Interview Questions 45:07
The course also covers web scraping and API integration, both essential for data extraction and automation.Each project focuses on core Python skills. You’ll practice data manipulation with Pandas and NumPy, automate tasks through scripting, and create visualizations with Matplotlib and Seaborn. ...
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Gain the introductory skills you need to make data-driven financial decisions in Python—using pandas, NumPy, statsmodels, and pyfolio libraries. Track Building APIs in Python 13 hours 1.4K Building APIs in Python teaches you to create and manage APIs with Python and FastAPI through practical, ha...
Pandas官网：Python Data Analysis Library Matplotlib官网：Matplotlib - Visualization with Python Sklearn...
If you want to learn Pandas for free with a well-organized, step-by-step tutorial, you can use our free Learn Pandas - For Beginners course. Our tutorials will guide you through Pandas one step at a time, using practical examples to strengthen your foundation. Interactive Course Best For:...
Free Python Libraries Course with Certificate 4.530628 Learners EnrolledBeginner Level In this Python Libraries course, discover the top five Python libraries essential for data science: NumPy, Pandas, Matplotlib, Scikit-Learn, and TensorFlow. Learn how to use these tools to analyze data, create visua...
which you’ll need to be familiar with before taking more advanced courses. Other topics covered include Pandas, SciPy, and Matplotlib. The prerequisites for this course include matrix arithmetic and basic Python coding, and if you aren’t sure you’re ready for it, you can view the “Machin...