KDnuggets

OCTOBER 10, 2022

The only cheat you need for a job interview and data professional life. It includes SQL, web scraping, statistics, data wrangling and visualization, business intelligence, machine learning, deep learning, NLP, and super cheat sheets.

Data Wrangling 400

Data Wrangling Data Science Deep Learning Deep Learning 400

Data Science Dojo

MAY 10, 2023

Business Intelligence Analyst Business intelligence analysts are responsible for gathering and analyzing data to drive strategic decision-making. They require strong analytical skills, knowledge of data modeling, and expertise in business intelligence tools.

Data Science 368

Data Science Data Scientist Database Administration Machine Learning 368

Pickl AI

JANUARY 25, 2023

The easiest skill that a Data Science aspirant might develop is SQL. Management and storage of Data in businesses require the use of a Database Management System. Additionally, you would find suggestions for different SQL certification courses to learn the programming language. What is SQL?

SQL 52

SQL Data Science Database Data Analysis 52

How to Learn Machine Learning

APRIL 26, 2025

Data can be generated from databases, sensors, social media platforms, APIs, logs, and web scraping. Data can be in structured (like tables in databases), semi-structured (like XML or JSON), or unstructured (like text, audio, and images) form. How to Choose the Right Data Science Career Path?

Data Science 52

Data Science Data Analyst Data Scientist Machine Learning 52

Pickl AI

NOVEMBER 18, 2024

Critical thinking, attention to detail, and a solid understanding of business concepts further enhance their impact. Tools and Techniques Commonly Used Data Analysts rely on various tools to streamline their work. Software like Microsoft Excel and SQL helps them manipulate and query data efficiently.

Data Analyst 110

Data Analyst SQL Python AWS 110

IBM Journey to AI blog

SEPTEMBER 19, 2023

Data analytics is a task that resides under the data science umbrella and is done to query, interpret and visualize datasets. Data scientists will often perform data analysis tasks to understand a dataset or evaluate outcomes. And you should have experience working with big data platforms such as Hadoop or Apache Spark.

Data Science 94

Data Science Analytics Analytics Data Scientist 94

ODSC - Open Data Science

MARCH 10, 2025

The Early Years: Laying the Foundations (20152017) In the early years, data science conferences predominantly focused on foundational topics like data analytics , visualization , and the rise of big data.

Data Science 52

Data Science Deep Learning Deep Learning Machine Learning 52