Data Science 101

JANUARY 10, 2020

Google Releases a tool for Automated Exploratory Data Analysis Exploring data is one of the first activities a data scientist performs after getting access to the data. This command-line tool helps to determine the properties and quality of the data as well the predictive power.

Data Science 78

Data Science Power BI Cloud Data Exploratory Data Analysis 78

Data Science Dojo

JULY 5, 2023

For data scrapping a variety of sources, such as online databases, sensor data, or social media. Cleaning data: Once the data has been gathered, it needs to be cleaned. This involves removing any errors or inconsistencies in the data.

Machine Learning 195

Machine Learning Machine Learning EDA ML 195

Dataconomy

JULY 28, 2023

Proper data preprocessing is essential as it greatly impacts the model performance and the overall success of data analysis tasks ( Image Credit ) Data integration Data integration involves combining data from various sources and formats into a unified and consistent dataset.

Power BI 91

Power BI Data Preparation Exploratory Data Analysis Machine Learning 91

Pickl AI

FEBRUARY 22, 2024

Summary: Dive into programs at Duke University, MIT, and more, covering Data Analysis, Statistical quality control, and integrating Statistics with Data Science for diverse career paths. offer modules in Statistical modelling, biostatistics, and comprehensive Data Science bootcamps, ensuring practical skills and job placement.

Hypothesis Testing 52

Hypothesis Testing Data Science Data Analysis Data Analysis 52

Pickl AI

APRIL 26, 2024

Top 50+ Interview Questions for Data Analysts Technical Questions SQL Queries What is SQL, and why is it necessary for data analysis? SQL stands for Structured Query Language, essential for querying and manipulating data stored in relational databases. How would you segment customers based on their purchasing behaviour?

Data Analyst 52

Data Analyst Data Analysis Data Analysis Machine Learning 52

Pickl AI

JUNE 12, 2023

How Professionals Can Use Tableau for Data Science? Tableau is a powerful data visualization and business intelligence tool that can be effectively used by professionals in the field of data science. This helps in understanding the underlying patterns, trends, and relationships within the data.

Tableau 52

Tableau Data Science Data Scientist Data Analysis 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. Load Data After the transform process we will load that “final dataframe” into pgadmin4 , pgAdmin is an open-source administration and development platform for PostgreSQL.

Business Intelligence 52

Business Intelligence Business Intelligence ETL Power BI 52