Data Science

Data Analysis With Python — Learn to process, analyze, and visualize data using the Python programming language and its powerful libraries.

Python Data Analysis with Pandas: From Basics to Modern Workflows

Data Analysis With Python
Learn to clean, filter, and analyze complex datasets using Python and Pandas, transitioning from manual spreadsheets to robust, programmatic data workflows.
★ 4.7 (1,236)

Python for Data Analysis: From Foundations to Data Science

Data Analysis With Python
Learn Python programming from scratch and build essential data science skills using Pandas, NumPy, Matplotlib, and modern data analysis workflows.
★ 4.3 (2,504)

Data Manipulation in Python: Learn NumPy and Pandas from Scratch

Data Analysis With Python
Acquire essential data science skills by learning how to clean, transform, and analyze complex datasets using modern Python, NumPy, and Pandas workflows.
★ 4.3 (2,718)

Practical Data Visualization with Python

Data Analysis With Python
Learn to create compelling charts and interactive dashboards using Matplotlib, Seaborn, and Plotly, starting from the absolute basics.
★ 4.4 (245)

Python for Data Analysis: NumPy, Pandas, and Data Visualization

Data Analysis With Python
Build a strong foundation in data manipulation and visualization using Python's core libraries to prepare for data science and machine learning workflows.
★ 3.7 (680)

Statistical Analysis with Python: Practical Data Workflows

Data Analysis With Python
Learn to analyze real-world datasets, perform statistical tests, and present clear data insights using modern Python libraries and clean coding practices.
★ 4.2 (2,806)

Foundations of Geospatial Analysis with Python

Data Analysis With Python
Analyze and visualize location-based data to create insightful maps using GeoPandas and modern Python libraries.
★ 4.5 (684)

Python Programming Essentials: Variables and Data Types

Data Analysis With Python
Build a strong foundation in Python by mastering core data structures and variable management for development and data science.
★ 4.2 (902)

Python Data Analysis Foundations: NumPy, Pandas, SciPy, and Matplotlib

Data Analysis With Python
Build a strong foundation in Python's core data science libraries to clean, analyze, and visualize complex datasets for scientific computing and machine learning.
★ 4.2 (550)

Building Interactive Python Dashboards with Plotly and Dash

Data Analysis With Python
Learn to transform raw data into dynamic, web-based dashboards using Python, Plotly, and Dash through practical, step-by-step written guides and exercises.
★ 4.6 (9,171)

Python for Data Science with Practical Coding Exercises

Data Analysis With Python
Master foundational Python programming and modern data science concepts through structured, text-based coding exercises designed for beginners.
★ 4.1 (735)

Python Pandas for Data Analysis and Manipulation

Data Analysis With Python
Master the essentials of the pandas library to clean, filter, and analyze datasets using modern Python data science workflows.
★ 4.3 (563)

Python Programming for Beginners with Data Analysis Focus

Data Analysis With Python
Develop essential coding skills to automate tasks and analyze data using modern Python practices through a structured text-based curriculum.
★ 4.4 (956)

Python Data Visualization: 3D and Advanced Matplotlib Techniques

Data Analysis With Python
Transform raw data into professional 3D plots and advanced visualizations using Matplotlib for business reports, scientific research, and data storytelling.
★ 4.6 (152)

Python Data Visualization: Practical EDA with Seaborn and Plotly

Data Analysis With Python
Transform raw data into actionable insights by mastering Exploratory Data Analysis and interactive plotting with Python's most powerful libraries.
★ 4.1 (905)

Python Data Analysis with Pandas: A Practical Hands-On Guide

Data Analysis With Python
Learn to clean, manipulate, and analyze real-world datasets using Python, Pandas, and NumPy through structured written explanations and practical coding exercises.
★ 4.3 (264)

Python Programming from Scratch: Foundations for Data Science and Analytics

Data Analysis With Python
Learn Python from the ground up and gain the essential programming skills needed to start your journey in data science and analytics.
★ 4.1 (275)

Python and Pandas for Machine Learning Foundations

Data Analysis With Python
Go from basic programming concepts to manipulating and preparing real-world data for machine learning models.
★ 4.7 (2,964)

Python Data Analysis for Beginners: NumPy, Pandas, and Visualization

Data Analysis With Python
Build a strong foundation in Python programming and progress step-by-step to analyzing and visualizing real-world datasets with NumPy, Pandas, and Seaborn.
★ 4.5 (510)

Foundations of Data Analysis with Pandas

Data Analysis With Python
Master the essential Python library for cleaning, transforming, and analyzing data to prepare it for visualization and machine learning.
★ 4.5 (3,881)

Python Data Analysis and Visualization with Pandas

Data Analysis With Python
Learn to clean, manipulate, and visualize real-world datasets using Pandas, Matplotlib, and Seaborn through practical written lessons.
★ 4.6 (4,068)

Python File Handling: Working with CSV, Excel, and JSON

Data Analysis With Python
Learn to read, write, and manipulate popular data formats using Python standard libraries and Pandas to automate your data-handling workflows.
★ 4.4 (175)

Data Analysis and Visualization with Pandas: A Practical Guide

Data Analysis With Python
Master the essentials of data manipulation, cleaning, and visualization using Python and Pandas through step-by-step written explanations and practical code examples.
★ 4.4 (165)

Data Visualization with Python: Matplotlib and Seaborn Guide

Data Analysis With Python
Learn to build, customize, and style professional-grade data visualizations from scratch using Python, Matplotlib, and Seaborn.
★ 4.5 (8,605)
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