DQLab is a complete platform to learn all about data. If you want to become a data practitioner, then it is a must to study at DQLab. There are three programming languages provided, R, Python, and SQL. These three languages are very popular in today's data science world.
This is a repository that I created to share the result of learning from materials and projects in DQLab. Markdown template inspired from Arist
Class List
Module List
Class List
Module List
Module List
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[π] [π] [π] Python for Data Professional Beginner - Part 1
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[π] [π] [π] Python for Data Professional Beginner - Part 2
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[π] [π] [π] Python for Data Professional Beginner - Part 3
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[π] [π] [π] Data Visualization with Python Matplotlib for Beginner - Part 1
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[π] [π] [π] Exploratory Data Analysis with Python for Beginner
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[π] [π] [π] Data Visualization with Python Matplotlib for Beginner - Part 2
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[π] [π] [π] Machine Learning With Python for Beginner
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[π] [π] [π] Fundamental Data Visualization with Python
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[π] [π] [π] Statistic using Python for Data Science - Part 1
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[π] [π] [π] Statistic using Python for Data Science - Part 2
Class List
Understanding Fundamental Programming Language
Understanding SQL and RDBMS enabling to process data in companies that have implemented IT systems
Understanding Concepts and Application of EDA in Business Study Case
Processing Small to Large Amounts of Datasets
Understanding Concepts and Generating the Right Type of Data Visualization to Present a Business Case
Understand the Concept of Predictive Modeling & Able to Test the Accuracy Level to Choose the Right Model
Investigating and Detecting Anomalies in Data
Data Analyst Project: Business Decision Research
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