Data Science
Module 6 Lesson 1: Intro to Data Science with Python
Turn numbers into insights. Learn why Python is the #1 language for Data Science and get an overview of the ecosystem including NumPy, Pandas, and Matplotlib.
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Data Science
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Data Science
Module 6 Lesson 10: Exploratory Data Analysis (EDA) Project
The data detective's guide. Follow a step-by-step Exploratory Data Analysis (EDA) to find trends, handle outliers, and visualize insights in a real-world dataset.
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Data Science
Module 6 Lesson 2: NumPy: Arrays and Vectorization
Meet the foundation of numerical Python. Learn how NumPy arrays differ from lists and how 'vectorization' makes your math 100x faster.
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Data Science
Module 6 Lesson 3: NumPy Math and Stats
Harness the statistical power of NumPy. Learn how to calculate means, medians, and standard deviations with one line of code across millions of data points.
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Data Science
Module 6 Lesson 4: Pandas Basics: DataFrames and Series
Welcome to the DataFrame. Learn about the two core building blocks of Pandas and how to navigate tables like a data professional.
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Data Science
Module 6 Lesson 5: Loading Data with Pandas
Unlock your data. Learn how to import real-world information from CSV, Excel, and JSON files into your Python scripts for analysis.
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Data Science
Module 6 Lesson 6: Data Cleaning and Manipulation
The secret to accurate analysis. Learn how to handle missing data, drop duplicates, and transform your columns using powerful Pandas techniques.
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Data Science
Module 6 Lesson 7: Grouping and Aggregation
Summarize your data. Learn how to use 'groupby' to find totals, averages, and counts across different categories in your dataset.
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Data Science
Module 6 Lesson 8: Matplotlib: Basic Plotting
Visualize your data. Learn the fundamentals of Matplotlib to create line charts, bar graphs, and scatter plots that turn numbers into stories.
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Data Science
Module 6 Lesson 9: Seaborn: Statistical Visualization
Beautiful data at your fingertips. Learn how to use Seaborn to create high-level statistical graphics like heatmaps and violin plots with minimal code.
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Data Science
Module 6 Lesson 11: Hands-on Projects
Master real-world data science. Choose from three advanced projects: Stock Market Tracking, Weather Pattern Analysis, or a Personal Habit Tracker.
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