DataAnalysisPath

.github

4.2-lab_rss

Working with RSS Feeds

4.2-lab_web_scraping

Web Scraping

4.3-lab_web_scraping_selenium

Web Scraping with Selenium

5.1-lab-subsetting-and-descriptive-stats

Subsetting and descriptive stats

5.1-lab_pivot_table_and_correlation

Pivot Table and Correlations

5.2-lab_interactive_visualization

Interactive Visualization

5.2-lab_matplotlib_seaborn

Matplotlib and Seaborn Deep Dive

5.3-lab_tableau_data_visualization

Data Visualization with Tableau

6.1-lab_continuous_probability_distributions

Continuous Probability Distributions

6.2-lab_hypothesis_testing

Hypothesis Testing

2.2-lab-import-export

Importing and Exporting Files

2.2-pandas_deepdive

Pandas Deep Dive

2.3-lab_df_calculation_and_transformation

Dataframe Calculation and Transformation

2.4-lab_data_cleaning

Data Cleaning

3.1-lab_intro_to_mysql

Intro to MySQL

3.2-lab_mysql_select

MySQL Select

3.3-lab_mysql_advanced

Advanced MySQL

3.4-lab_mongo

MongoDB

4.1-lab_api_scavengers_game

API Scavenger Game

6.1-lab_discrete_probability_distributions

Discrete Probability Distributions

6.3-lab_two_sample_hypothesis_test

Two Sample Hypothesis Testing

6.4-lab_ab_testing

AB-Testing

7.1-lab_supervised_learning

Supervised Learning

7.2-lab-supervised-model-evaluation

Supervised Learning Model Evaluation

7.2-lab_supervised_learning_feature_extraction

Feature Extraction and Introduction to Supervised Learning

7.3-lab_regression_analysis

Regression Analysis

7.4-lab_unsupervised_learning

Unsupervised Learning

7.4-lab_unsupervised_learning_evaluation

Unsupervised Learning Model Evaluation

apuntes_clase

Lecciones diarias del bootcamp