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Fundamentos del Análisis de Datos con Python
Quiz for Part II: Python Basics for Data Analysis
Multiple-Choice Questions
True/False Questions
Answer Key for Quiz for Part II: Python Basics for Data Analysis
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Chapter 1: Introduction to Data Analysis and Python
1.1 Importance of Data Analysis
1.2 Role of Python in Data Analysis
1.3 Overview of the Data Analysis Process
1.4 Practical Exercises for Chapter 1: Introduction to Data Analysis and Python
1.5 Chapter 1 Conclusion of Introduction to Data Analysis and Python
Chapter 2: Getting Started with Python
2.1 Installing Python
2.2 Your First Python Program
2.3 Variables and Data Types
2.4 Practical Exercises for Chapter 2: Getting Started with Python
2.5 Chapter 2 Conclusion of Getting Started with Python
Quiz for Part I: Setting the Stage
Multiple Choice Questions
True or False Questions
Answer Key for Quiz for Part I: Introduction to Data Analysis and Python
Chapter 3: Basic Python Programming
3.1 Control Structures
3.2 Functions and Modules
3.3 Python Scripting
3.4 Practical Exercises Chapter 3: Basic Python Programming
3.5 Chapter 3 Conclusion of Basic Python Programming
Chapter 4: Setting Up Your Data Analysis Environment
4.1 Installing Anaconda
4.2 Jupyter Notebook Basics
4.3 Git for Version Control
4.4 Practical Exercises Chapter 4: Setting Up Your Data Analysis Environment
4.5 Chapter 4 Conclusion of Setting Up Your Data Analysis Environment
Quiz for Part II: Python Basics for Data Analysis
Multiple-Choice Questions
True/False Questions
Answer Key for Quiz for Part II: Python Basics for Data Analysis
Chapter 5: NumPy Fundamentals
5.1 Arrays and Matrices
5.2 Basic Operations
5.3 Advanced NumPy Functions
5.4 Practical Exercises for Chapter 5: NumPy Fundamentals
5.5 Chapter 5 Conclusion of NumPy Fundamentals
Chapter 6: Data Manipulation with Pandas
6.1 DataFrames and Series
6.2 Data Wrangling
6.3 Handling Missing Data
6.4 Real-World Examples: Challenges and Pitfalls in Handling Missing Data
6.5 Practical Exercises Chapter 6: Data Manipulation with Pandas
Chapter 7: Data Visualization with Matplotlib and Seaborn
7.1 Basic Plotting with Matplotlib
7.2 Advanced Visualizations
7.3 Introduction to Seaborn
7.4 Practical Exercises - Chapter 7: Data Visualization with Matplotlib and Seaborn
7.5 Chapter 7 Conclusion of Data Visualization with Matplotlib and Seaborn
Chapter 8: Understanding EDA
8.1 Importance of EDA
8.2 Types of Data
8.3 Descriptive Statistics
8.4 Practical Exercises for Chapter 8: Understanding EDA
8.5 Chapter 8 Conclusion of Understanding EDA
Quiz for Part III: Core Libraries for Data Analysis
Chapter 5: NumPy Fundamentals
Chapter 6: Data Manipulation with Pandas
Chapter 7: Data Visualization with Matplotlib and Seaborn
Answer Key for Quiz for Part III: Core Libraries for Data Analysis
Chapter 9: Data Preprocessing
9.1 Data Cleaning
9.2 Feature Engineering
9.3 Data Transformation
9.4 Practical Exercises: Chapter 9: Data Preprocessing
9.5 Chapter 9 Conclusion
Chapter 10: Visual Exploratory Data Analysis
10.1 Univariate Analysis
10.2 Bivariate Analysis
10.3 Multivariate Analysis
10.4 Practical Exercises Chapter 10
10.5 Chapter 10 Conclusion of Data Preprocessing
Quiz for Part IV: Exploratory Data Analysis (EDA)
Questions of Quiz for Part IV: Exploratory Data Analysis (EDA)
Answers of Quiz for Part IV: Exploratory Data Analysis (EDA)
Project 1: Analyzing Customer Reviews
1.1 Data Collection
1.2: Data Cleaning
1.3: Data Visualization
1.4: Basic Sentiment Analysis
Chapter 11: Probability Theory
11.1 Basic Concepts
11.2: Probability Distributions
11.3: Specialized Probability Distributions
11.4 Bayesian Theory
11.5 Practical Exercises for Chapter 11: Probability Theory
Chapter 12: Hypothesis Testing
12.1 Null and Alternative Hypotheses
12.2 t-test and p-values
12.3 ANOVA (Analysis of Variance)
12.4 Practical Exercises Chapter 12: Hypothesis Testing
12.5 Chapter 12 Conclusion of Hypothesis Testing
Quiz for Part V: Statistical Foundations
Chapter 11: Probability Theory
Chapter 12: Hypothesis Testing
Answers of Quiz for Part V: Statistical Foundations
Chapter 13: Introduction to Machine Learning
13.1 Types of Machine Learning
13.2 Basic Algorithms
13.3 Model Evaluation
13.4 Practical Exercises Chapter 13: Introduction to Machine Learning
13.5 Chapter 13 Conclusion of Introduction to Machine Learning
Chapter 14: Supervised Learning
14.1 Linear Regression
14.2 Types of Classification Algorithms
14.3 Decision Trees
14.4 Practical Exercises Chapter 14: Supervised Learning
14.5 Chapter 14 Conclusion of Supervised Learning
Chapter 15: Unsupervised Learning
15.1 Clustering
15.2 Principal Component Analysis (PCA)
15.3 Anomaly Detection
15.4 Practical Exercises Chapter 15: Unsupervised Learning
15.5 Chapter 15 Conclusion of Unsupervised Learning
Quiz Part VI: Machine Learning Basics
Chapter 13: Introduction to Machine Learning
Chapter 14: Supervised Learning
Chapter 15: Unsupervised Learning
Answer Key of Quiz Part VI: Machine Learning Basics
Project 2: Predicting House Prices
Problem Statement
Data Collection and Preprocessing
Feature Engineering
Model Building and Evaluation
Chapter 16: Case Study 1: Sales Data Analysis
16.1 Problem Definition
16.2 EDA and Visualization
16.3 Predictive Modeling
16.4 Practical Exercises: Sales Data Analysis
16.5 Chapter 16 Conclusion of Sales Data Analysis
Chapter 17: Case Study 2: Social Media Sentiment Analysis
17.1 Data Collection
17.2 Text Preprocessing
17.3 Sentiment Analysis
17.4 Practical Exercises of Chapter 17: Case Study 2: Social Media Sentiment Analysis
17.5 Chapter 17 Conclusion of Social Media Sentiment Analysis
Quiz Part VII: Case Studies
Chapter 16: Case Study 1 - Sales Data Analysis
Chapter 17: Case Study 2 - Social Media Sentiment Analysis
Answers of Quiz Part VII: Case Studies
Project 3: Capstone Project: Building a Recommender System
Problem Statement
Data Collection and Preprocessing
Model Building
Evaluation and Deployment
Chapter 18: Best Practices and Tips
18.1 Code Organization
18.2 Documentation
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Quiz for Part II: Python Basics for Data Analysis
Answer Key for Quiz for Part II: Python Basics for Data Analysis
Answer Key for Quiz for Part II: Python Basics for Data Analysis
Answer Key for Quiz for Part II: Python Basics for Data Analysis
Answer Key for Quiz for Part II: Python Basics for Data Analysis
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