GitHub - viktor-taraba/DataCamp: This repo includes all exercises for courses and projects that I have finished on datacamp.

Datacamp Courses

#	Name	Status
1	Introduction to Importing Data in Python	Done
2	Data Manipulation with pandas	Done
3	Introduction to Databases in Python	Done
4	Intermediate Importing Data in Python	Done
5	Web Scraping in Python	Done
6	Transactions and Error Handling in PostgreSQL	Done
7	Regular Expressions in Python	Done
8	Introduction to DAX in Power BI	Done
9	Data Modeling in Power BI	Done
10	Reshaping Data with pandas	In progress
11	DAX Functions in Power BI	Done
12	Trend Analysis in Power BI	Done
13	Object-Oriented Programming in Python	In progress
14	Intermediate DAX in Power BI	Done
15	Reports in Power BI	Done
16	Exploratory Data Analysis in Power BI	Done
17	Report Design in Power BI	Done
18	User-Oriented Design in Power BI	Done
19	Machine Learning with Tree-Based Models in Python	Done
20	Case Study: Analyzing Job Market Data in Power BI	Done
21	Hierarchical and Recursive Queries in SQL Server	Done
22	Statistical Thinking in Python (Part 1)	In progress
23	Data Structures and Algorithms in Python	Done
24	Introduction to Airflow in Python	Done
25	Writing Efficient Code with pandas	Done
26	Python Data Science Toolbox	Done
27	Analyzing Financial Statements in Python	Done
28	Intermediate Data Modeling in Power BI	Done
29	Interactive Data Visualization with Bokeh	Done
30	Introduction to Portfolio Analysis in Python	Done

Datacamp Projects

#	Name	Status
1	Bad Passwords and the NIST Guidelines	Done
2	Analyze International Debt Statistics	Done
3	Writing Functions for Product Analysis	Done
4	Drunken Datetimes in Ames, Iowa	Done
5	Consolidating Employee Data	Done
6	Risk and Returns: The Sharpe Ratio	Done
7	Dr. Semmelweis and the Discovery of Handwashing	Done
8	Rise and Fall of Programming Languages	Done

Name		Name	Last commit message	Last commit date
Latest commit History 356 Commits
Analyze International Debt Statistics		Analyze International Debt Statistics
Analyzing Financial Statements in Python		Analyzing Financial Statements in Python
Bad Passwords and the NIST Guidelines		Bad Passwords and the NIST Guidelines
Case Study: Analyzing Job Market Data in Power BI		Case Study: Analyzing Job Market Data in Power BI
Consolidating Employee Data		Consolidating Employee Data
Customer Analytics and AB Testing in Python		Customer Analytics and AB Testing in Python
DAX Functions in Power BI		DAX Functions in Power BI
Data Manipulation with pandas		Data Manipulation with pandas
Data Modeling in Power BI		Data Modeling in Power BI
Data Structures and Algorithms in Python		Data Structures and Algorithms in Python
Dr. Semmelweis and the Discovery of Handwashing		Dr. Semmelweis and the Discovery of Handwashing
Draw Flowers Using Mathematics		Draw Flowers Using Mathematics
Drunken Datetimes in Ames, Iowa		Drunken Datetimes in Ames, Iowa
ETL in Python		ETL in Python
Exploratory Data Analysis in Power BI		Exploratory Data Analysis in Power BI
Exploring the Kaggle Data Science Survey		Exploring the Kaggle Data Science Survey
Financial Forecasting in Python		Financial Forecasting in Python
Functions for Manipulating Data in PostgreSQL		Functions for Manipulating Data in PostgreSQL
Hierarchical and Recursive Queries in SQL Server		Hierarchical and Recursive Queries in SQL Server
Interactive Data Visualization with Bokeh		Interactive Data Visualization with Bokeh
Intermediate DAX in Power BI		Intermediate DAX in Power BI
Intermediate Data Modeling in Power BI		Intermediate Data Modeling in Power BI
Intermediate Importing Data in Python		Intermediate Importing Data in Python
Introduction to Airflow in Python		Introduction to Airflow in Python
Introduction to DAX in Power BI		Introduction to DAX in Power BI
Introduction to Data Visualization with Plotly in Python		Introduction to Data Visualization with Plotly in Python
Introduction to Databases in Python		Introduction to Databases in Python
Introduction to Importing Data in Python		Introduction to Importing Data in Python
Introduction to Portfolio Analysis in Python		Introduction to Portfolio Analysis in Python
Machine Learning with Tree-Based Models in Python		Machine Learning with Tree-Based Models in Python
PostgreSQL Summary Stats and Window Functions		PostgreSQL Summary Stats and Window Functions
Python Data Science Toolbox		Python Data Science Toolbox
Regular Expressions in Python		Regular Expressions in Python
Report Design in Power BI		Report Design in Power BI
Reports in Power BI		Reports in Power BI
Reshaping Data with pandas		Reshaping Data with pandas
Rise and Fall of Programming Languages		Rise and Fall of Programming Languages
Risk and Returns: The Sharpe Ratio		Risk and Returns: The Sharpe Ratio
SQL courses		SQL courses
Statistical Thinking in Python (Part 1)		Statistical Thinking in Python (Part 1)
Survival Analysis in Python		Survival Analysis in Python
Transactions and Error Handling in PostgreSQL		Transactions and Error Handling in PostgreSQL
Trend Analysis in Power BI		Trend Analysis in Power BI
User-Oriented Design in Power BI		User-Oriented Design in Power BI
Web Scraping in Python		Web Scraping in Python
What and Where Are the World's Oldest Businesses		What and Where Are the World's Oldest Businesses
Writing Efficient Code with pandas		Writing Efficient Code with pandas
Writing Functions for Product Analysis		Writing Functions for Product Analysis
README.md		README.md

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