Data Analytics Bootcamp

The Bootcamp includes 3 Modules:

• Python, Data Wrangling and Retrieval
• SQL, Data Analytics and Statistics
• Machine Learning and Artificial Intelligence (AI)

Data Analytics Bootcamp Prework

https://github.com/CatPires/DataAnalyticsBootcampPrework

Python, Data Wrangling and Retrieval

Week 1

🤓 Course Overview & Motivation ✅ DONE
🤓 Demo Time ✅ DONE
📗 Python Recap ✅ DONE
🤓 Intro to CodeWars ✅ DONE
📗 Resolving Merge Conflicts in Git ✅ DONE
📗 List Comprehension ✅ DONE
📗 Dicts, Sets, and Tuples ✅ DONE
💻 LAB | List Comprehension » https://github.com/ta-data-lis/lab-list-comprehensions ✅ DONE
💻 LAB | Dicts, Sets, and Tuples » https://github.com/ta-data-lis/lab-tuple-set-dict ✅ DONE

Week 2

📗 Functional Programming ✅ DONE
🤓 Intro to Career Services ✅ DONE
📗 String Operations ✅ DONE
💻 LAB | String Operations » https://github.com/ta-data-lis/lab-string-operations ✅ DONE
📗 Error Handling ✅ DONE
💻 LAB|Error Handling » https://github.com/ta-data-lis/lab-error-handling ✅ DONE

Week 3

📗 Introduction to Numpy ✅ DONE
💻 LAB|Numpy » https://github.com/ta-data-lis/lab-numpy ✅ DONE
🤓 Read Documentation ✅ DONE
📗 Introduction to Pandas ✅ DONE
🤓 Object Oriented Programming ✅ DONE
📗 Object Oriented Programming ✅ DONE
💡 Polite Coding and Debugging ✅ DONE
💻 LAB|Intro to Pandas » https://github.com/ta-data-lis/lab-intro-pandas ✅ DONE
💪 Escape Room Project ✅ DONE

Week 4

📗 MySQL Introduction ✅ DONE
📗 Relational Database Structure and Design ✅ DONE
📗 Joins & Relationships ✅ DONE
📗 Subqueries & Temp Tables ✅ DONE
📗 Action Queries ✅ DONE
📗 Python-SQL Connection ✅ DONE
💻 LAB|MySQL First Queries » https://github.com/ta-data-lis/lab-mysql-first-queries ✅ DONE
💻 LAB|MySQL Select » https://github.com/ta-data-lis/lab-mysql-select ✅ DONE
💻 LAB|MySQL Actions » https://github.com/ta-data-lis/lab-mysql ✅ DONE
💻 LAB|MySQL Advanced (Optional) » https://github.com/ta-data-lis/lab-advanced-mysql ✅ DONE

Week 5

📗 Dataframe Calculations ✅ DONE
📗 Data Aggregation & Summarization ✅ DONE
📗 Data Manipulation ✅ DONE
💻 LAB|Dataframe Calculations » https://github.com/ta-data-lis/lab-dataframe-calculations ✅ DONE
💻 LAB|Advanced Pandas » https://github.com/ta-data-lis/lab-advanced-pandas ✅ DONE
📗 Data Import, Export and Cleaning ✅ DONE
💡 Map, Reduce, & Filter ✅ DONE
💻 LAB|Data Cleaning » https://github.com/ta-data-lis/lab-data-cleaning ✅ DONE
💻 LAB|Importing and Exporting Data » https://github.com/ta-data-lis/lab-import-export ✅ DONE

Week 6

📗 Lambda Functions ✅ DONE
💻 LAB|Lambda Functions » https://github.com/ta-data-lis/lab-lambda-functions ✅ DONE
🤓 Python Environments ✅ DONE
💻 LAB|Pandas Deep Dive » https://github.com/ta-data-lis/lab-pandas-deep-dive ✅ DONE
💡 Data Pipelines ✅ DONE
🤓 Data Warehousing ✅ DONE
💪 SQL Project ✅ DONE

Week 7

📗 Working with APIs ✅ DONE
💻 LAB|Mini-project - Part 1 » https://github.com/ta-data-lis/M2-mini-project1 ✅ DONE
📗 Advanced APIs ✅ DONE
📗 API Wrappers ✅ DONE
💻 LAB|API Scavenger Game » https://github.com/ta-data-lis/lab-api-scavenger ✅ DONE
💻 LAB|API wrappers | Optional » https://github.com/ta-data-lis/Stack-API ✅ DONE
📗 Introduction to Web Content ✅ DONE
📗 Web Scraping ✅ DONE
📗 Web Scraping Deep Dive ✅ DONE
💻 LAB|Web Scraping » https://github.com/ta-data-lis/lab-web-scraping ✅ DONE

Week 8

🤓 Selenium for Web Scraping' ✅ DONE
🤓 Kaggle - Intro ✅ DONE
📗 Advanced Regex ✅ DONE
💻 LAB|Advanced Regular Expressions » https://github.com/ta-data-lis/lab-advanced-regex ✅ DONE

SQL, Data Analytics and Statistics

Week 9

💡 Code Simplicity and Efficiency ✅ DONE
💻 LAB|Code Simplicity and Efficiency | Optional » https://github.com/ta-data-lis/Code-Simplicity-Efficiency ✅ DONE
📗 Introduction to Matplotlib ✅ DONE
📗 Introduction to Seaborn ✅ DONE
📗 Exploratory Data Visualization Charts ✅ DONE
💻 LAB|MatPlotLib & Seaborn » https://github.com/ta-data-lis/lab-matplotlib-seaborn/ ✅ DONE
💪 Data Thieves ✅ DONE

Week 10

📗 Telling Stories Using Graphs ✅ DONE
📗 Introduction to Business Intelligence ✅ DONE
📗 Introduction to Tableau ✅ DONE
📗 BI Analysis with Tableau ✅ DONE
💻 LAB|Introduction to BI and Tableau » https://github.com/ta-data-lis/lab-intro-bi-tableau ✅ DONE
💻 LAB|BI Analysis with Tableau » https://github.com/ta-data-lis/lab-bi-analysis-tableau ✅ DONE
📗 Data Visualization with Tableau ✅ DONE
💻 LAB|Data Visualization with Tableau » https://github.com/ta-data-lis/lab-tableau-data-viz ✅ DONE
💻 LAB|Tableau Advanced Charts | Optional ✅ DONE
📗 Dashboarding ✅ DONE
🤓 Building a Security Layer ✅ DONE

Week 11

📗 Descriptive Statistics ✅ DONE
💻 LAB|Descriptive Statistics » https://github.com/ta-data-lis/lab-understanding-descriptive-stats/ ✅ DONE
📗 Field Relationships and Correlations ✅ DONE
📗 Descriptive Statistics With Python ✅ DONE
💻 LAB|Subsetting and Descriptive Statistics » https://github.com/ta-data-lis/lab-subsetting-and-descriptive-stats ✅ DONE
📗 Pivot Tables ✅ DONE
💻 LAB|Pivot Tables » https://github.com/ta-data-lis/lab-pivot-table-and-correlation ✅ DONE
💪 Tableau Mini Project ✅ DONE

Week 12

📗 Regression ✅ DONE
💻 LAB|EDA Mini-project - Part 2 | Optional » https://github.com/ta-data-lis/M2-mini-project1 ✅ DONE
📗 Logistic Regression ✅ DONE
💻 LAB|Linear Regression » https://github.com/ta-data-lis/lab-regression-analysis ✅ DONE
📗 Introduction to Probability ✅ DONE
📗 Introduction to Bayesian Statistics ✅ DONE
💡 Deepdive on Statistical Concepts | Optional ✅ DONE
💻 LAB|Introduction to Probability » https://github.com/ta-data-lis/lab-intro-prob ✅ DONE

Week 13

📗 Probability Distributions ✅ DONE
📗 Probability Distributions Review ✅ DONE
💻 LAB|Probability Distributions » https://github.com/ta-data-lis/lab-probability-distributions ✅ DONE
📗 Sample VS Population ✅ DONE
📗 Central Limit Theorem ✅ DONE
📗 Confidence Intervals ✅ DONE
💻 LAB|Confidence Intervals » https://github.com/ta-data-lis/lab-confidence-intervals ✅ DONE

Week 14

📗 Hypothesis Testing and Statistical Significance ✅ DONE
💻 LAB|Hypothesis Testing » https://github.com/ta-data-lis/lab-hypothesis-testing-1 ✅ DONE
📗 Two Sample Hypothesis Tests with Scipy ✅ DONE
📗 More Hypothesis Testing with SciPy and Stats Models ✅ DONE
💻 LAB|Hypothesis Tests 2 » https://github.com/ta-data-lis/lab-hypothesis-testing-2 ✅ DONE
💻 LAB|Two Sample Hypothesis Tests » https://github.com/ta-data-lis/lab-two-sample-hyp-test ✅ DONE
📗 Goodness of Fit ✅ DONE
💻 LAB|Intro to Scipy » https://github.com/ta-data-lis/lab-intro-to-scipy ✅ DONE
💻 LAB|Goodness of Fit » https://github.com/ta-data-lis/lab-goodfit-indeptests ✅ DONE
💻 LAB|Hypothesis Testing Mini-Project » https://github.com/ta-data-lis/M2-mini-project2 ✅ DONE

Week 15

📗 Naive Bays ✅ DONE
📗 Recommendation Engines ✅ DONE

Week 16

💪 Data Analysis Project ✅ DONE

Machine Learning and Artificial Intelligence (AI)

Week 17

📗 Time Series ✅ DONE
📗 Multiprocessing & Parallelization ✅ DONE
💻 LAB|Parallelization | Optional » https://github.com/ta-data-lis/Parallelization ✅ DONE
🤓 Flask ✅ DONE

Week 18

📗 Introduction to Artificial Intelligence ✅ DONE
📗 Machine Learning Workflow ✅ DONE
📗 Data Cleaning Review & A Pre-Analysis Example ✅ DONE
💻 LAB|Intro to Machine Learning » https://github.com/ta-data-lis/lab-intro-to-ml ✅ DONE
📗 Feature Scaling and Selection ✅ DONE
💻 LAB|Feature Extraction » https://github.com/ta-data-lis/lab-supervised-learning-feature-extraction ✅ DONE

Week 19

📗 Supervised Learning: Classification ✅ DONE
💻 LAB|Supervised Learning » https://github.com/ta-data-lis/lab-supervised-learning ✅ DONE
📗 Evaluating Supervised Learning Algorithms ✅ DONE
📗 Supervised Learning: Regression & Time Series ✅ DONE
💻 LAB|Supervised Learning with Sk-learn » https://github.com/ta-data-lis/lab-supervised-learning-sklearn ✅ DONE

Week 20

📗 Advanced Modeling Class - Ensemble Methods ✅ DONE
💡 Reinforcement Learning ✅ DONE
📗 Problems in Machine Learning ✅ DONE
📗 Hyperparameter Tuning ✅ DONE
💻 LAB|Imbalance » https://github.com/ta-data-lis/lab-imbalance ✅ DONE
💻 LAB|Problems in Machine Learning » https://github.com/ta-data-lis/lab-problems-in-ml ✅ DONE
🤓 Pickling ✅ DONE
📗 IronKaggle ✅ DONE

Week 21

📗 Unsupervised Learning ✅ DONE
💻 LAB|Unsupervised Learning » https://github.com/ta-data-lis/lab-unsupervised-learning ✅ DONE
📗 Evaluating Unsupervised Learning Algorithms ✅ DONE
💻 LAB|Unsupervised Learning with Sk-Learn » https://github.com/ta-data-lis/lab-unsupervised-learning-and-sklearn ✅ DONE
📗 Natural Language Processing ✅ DONE
💻 LAB|Natural Language Processing » https://github.com/ta-data-lis/lab-nlp ✅ DONE

Week 22

📗 Deep Learning - Intro ✅ DONE
💻 LAB|Deep Learning » https://github.com/ta-data-lis/lab-deep-learning ✅ DONE

Week 23

🤓 AI mini-topics ✅ DONE
💪 Final Project ✅ DONE

Projects

💪 Escape Room Project ✅ DONE
https://github.com/CatPires/DataAnalyticsBootcamp_EscapeRoomProject
https://github.com/ta-data-lis/python-project

💪 SQL Project ✅ DONE
https://github.com/CatPires/DataAnalyticsBootcamp_SQLProject

💪 Data Thieves ✅ DONE
https://github.com/CatPires/DataAnalyticsBootcamp_DataThieves
https://github.com/ta-data-lis/Project-Week-3-Data-Thieves

💪 Tableau Mini Project ✅ DONE

💪 Data Analysis Project ✅ DONE
https://github.com/CatPires/DataAnalyticsBootcamp_DataAnalysisProject
https://github.com/ta-data-lis/Project-Week-6

💪 Final Project ✅ DONE
https://github.com/CatPires/DataAnalyticsBootcamp_FinalProject

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🤓 TALK 📗 LESSON 💻 LAB 💡 EXTRA 💪 PROJECT TIME

✅ DONE ❌ TO DO