Flipboard

JUNE 12, 2025

By Bala Priya C , KDnuggets Contributing Editor & Technical Content Specialist on June 12, 2025 in Data Science Image by Author | Ideogram You dont need a rigorous math or computer science degree to get into data science. When you understand distributions, you can spot data quality issues instantly.

Data Science 161

Data Science Natural Language Processing Hypothesis Testing Machine Learning 161

Data Science Dojo

AUGUST 11, 2023

Statistics: Unveiling the patterns within data Statistics serves as the bedrock of data science, providing the tools and techniques to collect, analyze, and interpret data. It equips data scientists with the means to uncover patterns, trends, and relationships hidden within complex datasets.

Data Science 195

Data Science Python Data Scientist Decision Trees 195

Pickl AI

AUGUST 21, 2023

In a digital era fueled by data-driven decision-making, the role of a Data Scientist has become pivotal. With the 650% jump in the implementation of analytics, the role of Data Scientists is becoming profound. Companies are looking forward to hiring crème de la crème Data Scientists.

Data Scientist 52

Data Scientist Data Science Machine Learning Machine Learning 52

Pickl AI

MAY 29, 2024

Summary: Data Science is becoming a popular career choice. Mastering programming, statistics, Machine Learning, and communication is vital for Data Scientists. A typical Data Science syllabus covers mathematics, programming, Machine Learning, data mining, big data technologies, and visualisation.

Data Scientist 52

Data Scientist Data Science Machine Learning Machine Learning 52

Data Science Dojo

JULY 3, 2024

Statistics : Fundamental statistical concepts and methods, including hypothesis testing, probability, and descriptive statistics. Data Engineering : Building and maintaining data pipelines, ETL (Extract, Transform, Load) processes, and data warehousing.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

Pickl AI

JULY 25, 2023

Unfolding the difference between data engineer, data scientist, and data analyst. Data engineers are essential professionals responsible for designing, constructing, and maintaining an organization’s data infrastructure. Role of Data Scientists Data Scientists are the architects of data analysis.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

Dataconomy

MAY 2, 2023

Statistics In the field of machine learning, tools and tables play a critical role in creating models from data. Additionally, statistics and its various branches, including analysis of variance and hypothesis testing, are fundamental in building effective algorithms. How data engineers tame Big Data?

ML 110

ML ML Machine Learning Machine Learning 110