Data Science Dojo

JULY 3, 2024

Tools like Tableau, Power BI, and Python libraries such as Matplotlib and Seaborn are commonly taught. Statistics : Fundamental statistical concepts and methods, including hypothesis testing, probability, and descriptive statistics. R : Often used for statistical analysis and data visualization.

Data Science 195

Data Science Machine Learning Machine Learning Data Visualization 195

Pickl AI

JULY 25, 2023

They create data pipelines, ETL processes, and databases to facilitate smooth data flow and storage. Statistical Analysis: Hypothesis testing, probability, regression analysis, etc. ETL Tools: Apache NiFi, Talend, etc. Excel, Tableau, Power BI, SQL Server, MySQL, Google Analytics, etc. Read more to know.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

Pickl AI

APRIL 26, 2024

Data Warehousing and ETL Processes What is a data warehouse, and why is it important? Explain the Extract, Transform, Load (ETL) process. The ETL process involves extracting data from source systems, transforming it into a suitable format or structure, and loading it into a data warehouse or target system for analysis and reporting.

Data Analyst 52

Data Analyst Data Analysis Data Analysis Machine Learning 52

Pickl AI

AUGUST 9, 2024

Understanding ETL (Extract, Transform, Load) processes is vital for students. Statistical Analysis Introducing statistical methods and techniques for analysing data, including hypothesis testing, regression analysis, and descriptive statistics. Visualisation Tools Familiarity with tools such as Tableau, Power BI, and D3.js

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52