Data Science Dojo

JULY 12, 2023

In this blog, we’ll explore the defining traits, benefits, use cases, and key factors to consider when choosing between SQL and NoSQL databases. SQL or NoSQL SQL Database SQL databases are relational databases that store data in tables. This can be useful for tasks such as reporting, analytics, and data mining.

SQL 195

SQL Database Big Data Big Data 195

Smart Data Collective

SEPTEMBER 13, 2020

Search engines use data mining tools to find links from other sites. These Hadoop based tools archive links and keep track of them. They use a sophisticated data-driven algorithm to assess the quality of these sites based on the volume and quantity of inbound links. How Can Big Data Assist With LinkBuilding?

Analytics 120

Analytics Analytics Big Data Big Data 120

Becoming Human

JANUARY 23, 2023

Data Science You heard this term most of the time all over the internet, as well this is the most concerning topic for newbies who want to enter the world of data but don’t know the actual meaning of it. I’m not saying those are incorrect or wrong even though every article has its mindset behind the term ‘ Data Science ’.

Data Science 105

Data Science Big Data Big Data Deep Learning 105

IBM Journey to AI blog

SEPTEMBER 19, 2023

And you should have experience working with big data platforms such as Hadoop or Apache Spark. Additionally, data science requires experience in SQL database coding and an ability to work with unstructured data of various types, such as video, audio, pictures and text.

Data Science 94

Data Science Analytics Analytics Data Scientist 94

Pickl AI

MAY 29, 2024

A typical Data Science syllabus covers mathematics, programming, Machine Learning, data mining, big data technologies, and visualisation. This blog provides a comprehensive roadmap for aspiring Data Scientists, highlighting the essential skills required to succeed in this constantly changing field.

Data Scientist 52

Data Scientist Data Science Machine Learning Machine Learning 52

IBM Journey to AI blog

JULY 6, 2023

The fields have evolved such that to work as a data analyst who views, manages and accesses data, you need to know Structured Query Language (SQL) as well as math, statistics, data visualization (to present the results to stakeholders) and data mining. appeared first on IBM Blog.

Machine Learning 70

Machine Learning Machine Learning Data Science Big Data 70

Pickl AI

FEBRUARY 28, 2023

Indulging in the use of programming languages like Python or R for Data Cleaning Chiefly conducting Statistical analysis using Machine Learning algorithms like NLP, Logistic regression, etc. At length, use Hadoop, Spark, and tools like Pig and Hive to develop big data infrastructures. Wrapping Up!

Data Analyst 52

Data Analyst Data Scientist Data Science Computer Science 52