·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.
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.
·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.
·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.
·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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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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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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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.
·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.
·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.
·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.