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
Open-Domain Question-Answering for COVID-19 and Other Emergent Domains

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MoRecon - A tool for reconstructing missing frames in motion capture data.

MoRecon - A tool for reconstructing missing frames in motion capture data.

Yuki Nishidate 38 Dec 03, 2022
Open source platform for Data Science Management automation

Hydrosphere examples This repo contains demo scenarios and pre-trained models to show Hydrosphere capabilities. Data and artifacts management Some mod

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An Aspiring Drop-In Replacement for NumPy at Scale

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Legate 502 Jan 03, 2023
Efficient matrix representations for working with tabular data

Efficient matrix representations for working with tabular data

QuantCo 70 Dec 14, 2022
2019 Data Science Bowl

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Deepak Nandwani 1 Jan 01, 2022
An orchestration platform for the development, production, and observation of data assets.

Dagster An orchestration platform for the development, production, and observation of data assets. Dagster lets you define jobs in terms of the data f

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A utility for functional piping in Python that allows you to access any function in any scope as a partial.

WithPartial Introduction WithPartial is a simple utility for functional piping in Python. The package exposes a context manager (used with with) calle

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Integrate bus data from a variety of sources (batch processing and real time processing).

Purpose: This is integrate bus data from a variety of sources such as: csv, json api, sensor data ... into Relational Database (batch processing and r

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TE-dependent analysis (tedana) is a Python library for denoising multi-echo functional magnetic resonance imaging (fMRI) data

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An ETL Pipeline of a large data set from a fictitious music streaming service named Sparkify.

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1 Feb 11, 2022
Lale is a Python library for semi-automated data science.

Lale is a Python library for semi-automated data science. Lale makes it easy to automatically select algorithms and tune hyperparameters of pipelines that are compatible with scikit-learn, in a type-

International Business Machines 293 Dec 29, 2022
MEAD: A Large-scale Audio-visual Dataset for Emotional Talking-face Generation [ECCV2020]

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A highly efficient and modular implementation of Gaussian Processes in PyTorch

GPyTorch GPyTorch is a Gaussian process library implemented using PyTorch. GPyTorch is designed for creating scalable, flexible, and modular Gaussian

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We're Team Arson and we're using the power of predictive modeling to combat wildfires.

We're Team Arson and we're using the power of predictive modeling to combat wildfires. Arson Map Inspiration There’s been a lot of wildfires in Califo

Jerry Lee 3 Oct 17, 2021
Picka: A Python module for data generation and randomization.

Picka: A Python module for data generation and randomization. Author: Anthony Long Version: 1.0.1 - Fixed the broken image stuff. Whoops What is Picka

Anthony 108 Nov 30, 2021
A 2-dimensional physics engine written in Cairo

A 2-dimensional physics engine written in Cairo

Topology 38 Nov 16, 2022
Fast, flexible and easy to use probabilistic modelling in Python.

Please consider citing the JMLR-MLOSS Manuscript if you've used pomegranate in your academic work! pomegranate is a package for building probabilistic

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Hydrogen (or other pure gas phase species) depressurization calculations

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