Results of my Data Science course and project by DQLab
DQLab is a very complete data learning portal. If you want to become a data practitioner, then it is mandatory to study at DQLab. There are three programming languages provided, namely R, Python, and SQL. These three languages are very popular in today's data science world.
In DQLab, there is a Learn menu where we can learn material that is presented in a very complete and coherent way, so there is no need to be confused about where to start. Then there are also several projects that are made based on cases in the field, so we can learn and experience firsthand the role of a data practitioner. Do not forget that there is also a Career Track which can be a start for us in starting a career in the data field.
I use this repository to store and share data as a result of studying and working on various materials in DQLab, including:
Prep Class
-Introduction to Data Science with R
-R Fundamental for Data Science
-Introduction to Data Science with Python
-Python Fundamental for Data Science
-Fundamental SQL with SELECT Statement
-Fundamental SQL using INNER JOIN
Fundamental Class
-Statistics using R for Data Science
-Data Preparation in Data Science using R
-Data Exploration in Data Science using R
-Data Visualization in Data Science using R
-Fundamental Data Visualization using R
-Advanced Data Visualization with ggplot2 using R
-Data Wrangling Python
-Python for Data Professional Beginner - Part 1
-Python for Data Professional Beginner - Part 2
-Python for Data Professional Beginner - Part 3
-Data Visualization with Python Matplotlib for Beginner - Part 1
-Exploratory Data Analysis with Python for Beginner
-Data Visualization with Python Matplotlib for Beginner - Part 2
-Data Quality with Python for Beginner
-Machine Learning With Python for Beginner
-Fundamental Data Visualization with Python
-Data Manipulation with Pandas - Part 1
-Data Manipulation with Pandas - Part 2
-Data Visualization using Plotnine
-Fundamental SQL Using SELECT Statement
-Fundamental SQL Using FUNCTION and GROUP BY
-Fundamental SQL Using INNER JOIN and UNION
-Fundamental SQL Group By and Having
Industrial Application Class
-Data Science in Finance: Credit Risk Analysis
-Data Science in Retail: Market Basket Analysis
-Data Science in Marketing: Customer Segmentation
-Data Science in Finance: Dimension Reduction
-Basic Feature Discovering for Machine Learning
-Data Science in Telco: Data Cleansing
-Customer Churn Prediction using Machine Learning
-Data Analyst Project: Business Decision Research
-Data Science in Marketing : Customer Segmentation with Python
-Data Science in Marketing : Customer Segmentation with Python part 2
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