A collection of learning outcomes data analysis using Python and SQL, from DQLab.

Overview

Data Analyst with PYTHON


Data Analyst berperan dalam menghasilkan analisa data serta mempresentasikan insight untuk membantu proses pengambilan keputusan manajerial pada suatu perusahaan. Tipe pemodelan data yang dilakukan oleh Data Analyst beragam mulai dari Exploratory hingga Predictive Modeling menggunakan algoritma machine learning untuk menemukan pola pada data yang diolah.


Repositori ini, saya gunakan untuk menyimpan dan berbagi hasil pembelajaran mengenai dasar analisis data dengan menggunakan 2 bahasa pemrograman, yaitu: PYTHON dan SQL. Terdapat juga tugas project dari beberapa praktisi yang didasarkan case study di lapangan.



MATERI


PYTHON

PYTHON for Data Professional Beginner - Part 1

PYTHON for Data Professional Beginner - Part 2

PYTHON for Data Professional Beginner - Part 3

Exploratory Data Analysis with PYTHON for Beginner

Fundamental Data Visuzlization with PYTHON

Data Visualization with PYTHON Matplotlib for Beginner - Part 1

Data Visualization with PYTHON Matplotlib for Beginner - Part 2



SQL

Fundamental SQL using SELECT Statement

Fundamental SQL using FUNCTION and GROUP BY Statement

Fundamental SQL using INNER and UNION



PROJECT

Project Data Analysis for Retail Sales Performance Report

Project Data Analysis for B2B Retail Customer Analytics Report


Owner
Seeking of knowledges and learning for a lifetime
Monitor the stability of a pandas or spark dataframe ⚙︎

Population Shift Monitoring popmon is a package that allows one to check the stability of a dataset. popmon works with both pandas and spark datasets.

ING Bank 403 Dec 07, 2022
Flood modeling by 2D shallow water equation

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Weather analysis with Python, SQLite, SQLAlchemy, and Flask

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Art Tucker 1 Sep 05, 2021
Data Science Environment Setup in single line

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Ashish Patel 55 Dec 16, 2022
Sensitivity Analysis Library in Python (Numpy). Contains Sobol, Morris, Fractional Factorial and FAST methods.

Sensitivity Analysis Library (SALib) Python implementations of commonly used sensitivity analysis methods. Useful in systems modeling to calculate the

SALib 663 Jan 05, 2023
This is an example of how to automate Ridit Analysis for a dataset with large amount of questions and many item attributes

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Ishan Hegde 1 Nov 17, 2021
A data structure that extends pyspark.sql.DataFrame with metadata information.

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Invent Analytics 8 Feb 15, 2022
Predictive Modeling & Analytics on Home Equity Line of Credit

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The repo for mlbtradetrees.com. Analyze any trade in baseball history!

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Extract data from a wide range of Internet sources into a pandas DataFrame.

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Datashader is a data rasterization pipeline for automating the process of creating meaningful representations of large amounts of data.

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A python package which can be pip installed to perform statistics and visualize binomial and gaussian distributions of the dataset

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Very basic but functional Kakuro solver written in Python.

kakuro.py Very basic but functional Kakuro solver written in Python. It uses a reduction to exact set cover and Ali Assaf's elegant implementation of

Louis Abraham 4 Jan 15, 2022
Demonstrate a Dataflow pipeline that saves data from an API into BigQuery table

Overview dataflow-mvp provides a basic example pipeline that pulls data from an API and writes it to a BigQuery table using GCP's Dataflow (i.e., Apac

Chris Carbonell 1 Dec 03, 2021
Kennedy Institute of Rheumatology University of Oxford Project November 2019

TradingBot6M Kennedy Institute of Rheumatology University of Oxford Project November 2019 Run Change api.txt to binance api key: https://www.binance.c

Kannan SAR 2 Nov 16, 2021
An experimental project I'm undertaking for the sole purpose of increasing my Python knowledge

5ePy is an experimental project I'm undertaking for the sole purpose of increasing my Python knowledge. #Goals Goal: Create a working, albeit lightwei

Hayden Covington 1 Nov 24, 2021
Deep universal probabilistic programming with Python and PyTorch

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Python script for transferring data between three drives in two separate stages

Waterlock Waterlock is a Python script meant for incrementally transferring data between three folder locations in two separate stages. It performs ha

David Swanlund 13 Nov 10, 2021
The lastest all in one bombing tool coded in python uses tbomb api

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BinTuner is a cost-efficient auto-tuning framework, which can deliver a near-optimal binary code that reveals much more differences than -Ox settings.

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BinTuner 42 Dec 16, 2022