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 SQL 52

ODSC - Open Data Science

MARCH 11, 2024

Data Visualization and Data Analysis Join some of the world’s most creative minds that are changing the way we visualize, understand, and interact with data. You’ll also learn the art of storytelling, information communication, and data visualization using the latest open-source tools and techniques.

Deep Learning 52

Deep Learning Deep Learning Data Science AI 52

Pickl AI

JULY 18, 2023

It is popular for its powerful data visualization and analysis capabilities. Hence, Data Scientists rely on R to perform complex statistical operations. With a wide array of packages like ggplot2 and dplyr, R allows for sophisticated data visualization and efficient data manipulation. Wrapping it up !!!

Data Science 52

Data Science SQL Data Scientist Apache Hadoop 52

Pickl AI

FEBRUARY 28, 2023

Further, Data Scientists are also responsible for using machine learning algorithms to identify patterns and trends, make predictions, and solve business problems. Significantly, Data Science experts have a strong foundation in mathematics, statistics, and computer science.

Data Analyst 52

Data Analyst Data Scientist Data Science Computer Science 52

IBM Journey to AI blog

AUGUST 28, 2023

One of the best ways to take advantage of social media data is to implement text-mining programs that streamline the process. What is text mining? Popular algorithms for topic modeling include Latent Dirichlet Allocation (LDA) and non-negative matrix factorization (NMF).

Machine Learning 53

Machine Learning Machine Learning Data Mining Data Mining 53

Smart Data Collective

OCTOBER 17, 2022

Big data is shaping our world in countless ways. Data powers everything we do. Exactly why, the systems have to ensure adequate, accurate and most importantly, consistent data flow between different systems. The final point to which the data has to be eventually transferred is a destination.

Data Pipeline 132

Data Pipeline Data Warehouse ETL Exploratory Data Analysis 132

Mlearning.ai

MAY 23, 2023

Read the full blog here —  [link] Data Science Interview Questions for Freshers 1. What is Data Science? Once the data is acquired, it is maintained by performing data cleaning, data warehousing, data staging, and data architecture. What is the difference between data analytics and data science?

Data Science 52

Data Science Decision Trees Machine Learning Machine Learning 52

Data Science Dojo

AUGUST 30, 2023

Applied Data Science However, Applied Data Science, a subset of Data Science, offers a more practical and industry-specific approach. But what are the key concepts and methodologies involved in Applied Data Science? Machine learning algorithms Machine learning forms the core of Applied Data Science.

Data Science 195

Data Science Hypothesis Testing Machine Learning Machine Learning 195