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
This is an analysis and prediction project for house prices in King County, USA based on certain features of the house

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Amit Prakash 1 Jan 21, 2022
DataPrep — The easiest way to prepare data in Python

DataPrep — The easiest way to prepare data in Python

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Projeto para realizar o RPA Challenge . Utilizando Python e as bibliotecas Selenium e Pandas.

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The Master's in Data Science Program run by the Faculty of Mathematics and Information Science

The Master's in Data Science Program run by the Faculty of Mathematics and Information Science is among the first European programs in Data Science and is fully focused on data engineering and data a

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Office365 (Microsoft365) audit log analysis tool

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ICLR 2022 Paper submission trend analysis

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Jintang Li 75 Dec 06, 2022
cLoops2: full stack analysis tool for chromatin interactions

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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
PyPDC is a Python package for calculating asymptotic Partial Directed Coherence estimations for brain connectivity analysis.

Python asymptotic Partial Directed Coherence and Directed Coherence estimation package for brain connectivity analysis. Free software: MIT license Doc

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This repo contains a simple but effective tool made using python which can be used for quality control in statistical approach.

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Paulina Khew 21 Aug 30, 2022
A simplified prototype for an as-built tracking database with API

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Pandas-based utility to calculate weighted means, medians, distributions, standard deviations, and more.

weightedcalcs weightedcalcs is a pandas-based Python library for calculating weighted means, medians, standard deviations, and more. Features Plays we

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SymPy See the AUTHORS file for the list of authors. And many more people helped on the SymPy mailing list, reported bugs, helped organize SymPy's part

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Anomaly Detection with R

AnomalyDetection R package AnomalyDetection is an open-source R package to detect anomalies which is robust, from a statistical standpoint, in the pre

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Maycon Cypriano 3 Jun 30, 2022
PrimaryBid - Transform application Lifecycle Data and Design and ETL pipeline architecture for ingesting data from multiple sources to redshift

Transform application Lifecycle Data and Design and ETL pipeline architecture for ingesting data from multiple sources to redshift This project is composed of two parts: Part1 and Part2

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Hangar is version control for tensor data. Commit, branch, merge, revert, and collaborate in the data-defined software era.

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Implementation in Python of the reliability measures such as Omega.

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