Dataconomy

MARCH 5, 2025

Basic tools Using Excel allows for straightforward analyses and quick data visualizations. Business intelligence tools Advanced applications such as Power BI and Tableau provide sophisticated data visualization and reporting capabilities.

Analytics 91

Analytics Analytics Predictive Analytics Data Wrangling 91

How to Learn Machine Learning

APRIL 26, 2025

Data scientists try multiple models, evaluate their performance, and fine-tune some parameters to get better accuracy. Data Visualization and Interpretation To make the data understandable to stakeholders, visualizations are created in the form of charts, graphs, and dashboards.

Data Science 52

Data Science Data Analyst Data Scientist Machine Learning 52

IBM Journey to AI blog

SEPTEMBER 19, 2023

To pursue a data science career, you need a deep understanding and expansive knowledge of machine learning and AI. For example, business analysts can use BI dashboards to conduct in-depth business analytics and visualize key performance metrics compiled from relevant datasets.

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

ODSC - Open Data Science

APRIL 6, 2023

This allows for it to be integrated with many different tools and technologies to improve data management and analysis workflows. One set of tools that are becoming more important in our data-driven world is BI tools. Think of Tableau, Power BI, and QlikView.

SQL 98

SQL Data Scientist Database Data Science 98

Pickl AI

AUGUST 9, 2024

Data Cleaning and Transformation Techniques for preprocessing data to ensure quality and consistency, including handling missing values, outliers, and data type conversions. Students should learn about data wrangling and the importance of data quality. js for creating interactive visualisations.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52