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

Smart Data Collective

NOVEMBER 12, 2022

As a data analyst, you will learn several technical skills that data analysts need to be successful, including: Programming skills. Data visualization capability. Data Mining skills. Data wrangling ability. Machine learning knowledge.

Data Analyst 143

Data Analyst Data Analysis Data Analysis Data Wrangling 143

IBM Journey to AI blog

SEPTEMBER 19, 2023

The data science lifecycle Data science is iterative, meaning data scientists form hypotheses and experiment to see if a desired outcome can be achieved using available data. They may also use tools such as Excel to sort, calculate and visualize data.

Data Science 94

Data Science Analytics Analytics Data Scientist 94

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

Dataconomy

APRIL 16, 2025

Types of data science tools Understanding the various types of data science tools is crucial for effectively utilizing them in projects. Here are some key categories: Data mining tools Data mining tools are instrumental in identifying patterns and trends within large datasets.

Data Science 91

Data Science Data Mining Data Mining Data Mining 91