Data Science Dojo

JULY 5, 2023

For data scrapping a variety of sources, such as online databases, sensor data, or social media. Exploratory data analysis (EDA): EDA is a process of exploring data to gain insights into its distribution, relationships, and patterns. Cleaning data: Once the data has been gathered, it needs to be cleaned.

Machine Learning 195

Machine Learning Machine Learning EDA ML 195

Dataconomy

JULY 28, 2023

Exploratory data analysis (EDA) Before preprocessing data, conducting exploratory data analysis is crucial to understand the dataset’s characteristics, identify patterns, detect outliers, and validate missing values. EDA provides insights into the data distribution and informs the selection of appropriate preprocessing techniques.

Power BI 91

Power BI Data Preparation Exploratory Data Analysis Machine Learning 91

Pickl AI

APRIL 3, 2025

Key Processes and Techniques in Data Analysis Data Collection: Gathering raw data from various sources (databases, APIs, surveys, sensors, etc.). Exploratory Data Analysis (EDA): Using statistical summaries and initial visualisations (yes, visualisation plays a role within analysis!) EDA: Calculate overall churn rate.

Data Analysis 52

Data Analysis Data Analysis Data Visualization EDA 52

Mlearning.ai

AUGUST 10, 2023

The project I did to land my business intelligence internship — CAR BRAND SEARCH ETL PROCESS WITH PYTHON, POSTGRESQL & POWER BI 1. Extract Data We will use Google Trends as a database to extract data, it is a public web-based tool that allows users to explore the popularity of search queries on Google. Windows NT 10.0;

Business Intelligence 52

Business Intelligence Business Intelligence ETL Power BI 52

Pickl AI

JULY 25, 2023

They create data pipelines, ETL processes, and databases to facilitate smooth data flow and storage. Their primary responsibilities include: Data Collection and Preparation Data Scientists start by gathering relevant data from various sources, including databases, APIs, and online platforms. ETL Tools: Apache NiFi, Talend, etc.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52