Data Science Dojo

MAY 10, 2023

Data Analyst Data analysts are responsible for collecting, analyzing, and interpreting large sets of data to identify patterns and trends. They require strong analytical skills, knowledge of statistical analysis, and expertise in data visualization.

Data Science 368

Data Science Data Scientist Database Administration Machine Learning 368

How to Learn Machine Learning

APRIL 26, 2025

Data Cleaning and Preparation The tasks of cleaning and preparing the data take place before the analysis. This includes duplicate removal, missing value treatment, variable transformation, and normalization of data. Some of the famous tools and libraries are Python’s scikit-learn, TensorFlow, PyTorch, and R.

Data Science 52

Data Science Data Analyst Data Scientist Machine Learning 52

ODSC - Open Data Science

APRIL 3, 2023

As you’ll see below, however, a growing number of data analytics platforms, skills, and frameworks have altered the traditional view of what a data analyst is. Data Presentation: Communication Skills, Data Visualization Any good data analyst can go beyond just number crunching.

Analytics 52

Analytics Analytics Data Analyst Data Science 52

ODSC - Open Data Science

APRIL 6, 2023

Data integration tools allow for the combining of data from multiple sources. These are used to extract, transform, and load (ETL) data between different systems. The most popular of these tools are Talend, Informatica, and Apache NiFi.

SQL 98

SQL Data Scientist Database Data Science 98

Pickl AI

AUGUST 9, 2024

Data Integration Tools Technologies such as Apache NiFi and Talend help in the seamless integration of data from various sources into a unified system for analysis. Understanding ETL (Extract, Transform, Load) processes is vital for students. Students should learn about data wrangling and the importance of data quality.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52