Data Science Dojo

JULY 5, 2023

The following steps are involved in pipeline development: Gathering data: The first step is to gather the data that will be used to train the model. For data scrapping a variety of sources, such as online databases, sensor data, or social media. This involves removing any errors or inconsistencies in the data.

Machine Learning 195

Machine Learning Machine Learning EDA ML 195

Dataconomy

JULY 28, 2023

It ensures that the data used in analysis or modeling is comprehensive and comprehensive. Integration also helps avoid duplication and redundancy of data, providing a comprehensive view of the information. 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

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. It is a data integration process that involves extracting data from various sources, transforming it into a consistent format, and loading it into a target system. Windows NT 10.0;

Business Intelligence 52

Business Intelligence Business Intelligence ETL Power BI 52

Pickl AI

JULY 25, 2023

Data engineers are essential professionals responsible for designing, constructing, and maintaining an organization’s data infrastructure. They create data pipelines, ETL processes, and databases to facilitate smooth data flow and storage. Data Warehousing: Amazon Redshift, Google BigQuery, etc.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

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.). Data Cleaning & Preparation: This is often the most time-consuming step. Think of it as preparing your ingredients before cooking.

Data Analysis 52

Data Analysis Data Analysis Data Visualization EDA 52

Pickl AI

JUNE 12, 2023

A Data Scientist requires to be able to visualize quickly the data before creating the model and Tableau is helpful for that. Tableau is useful for summarising the metrics of success. Professionals can connect to various data sources, including databases, spreadsheets, and big data platforms.

Tableau 52

Tableau Data Science Data Scientist Data Analysis 52

Pickl AI

APRIL 26, 2024

SQL stands for Structured Query Language, essential for querying and manipulating data stored in relational databases. The SELECT statement retrieves data from a database, while SELECT DISTINCT eliminates duplicate rows from the result set. Explain the difference between SQL’s SELECT and SELECT DISTINCT statements.

Data Analyst 52

Data Analyst Data Analysis Data Analysis Machine Learning 52