Computer Science, Exploratory Data Analysis and Hypothesis Testing

Search:

DAY

WEEK

MONTH

YEAR

Select your country:
Sign up | Log in

Computer Science

Exploratory Data Analysis

Hypothesis Testing

Understanding Data Science and Data Analysis Life Cycle

Pickl AI

MAY 30, 2024

Understanding Data Science Data Science involves analysing and interpreting complex data sets to uncover valuable insights that can inform decision-making and solve real-world problems. You will collect and clean data from multiple sources, ensuring it is suitable for analysis.

Data Analysis

Data Analysis Data Analysis Data Science Exploratory Data Analysis

The Data Dilemma: Exploring the Key Differences Between Data Science and Data Engineering

Pickl AI

JULY 25, 2023

Their primary responsibilities include: Data Collection and Preparation Data Scientists start by gathering relevant data from various sources, including databases, APIs, and online platforms. They clean and preprocess the data to remove inconsistencies and ensure its quality.

Data Engineering

Data Engineering Data Engineer Data Engineering Data Engineering

Basic Data Science Terms Every Data Analyst Should Know

Pickl AI

SEPTEMBER 12, 2024

Anomaly Detection: Identifying unusual patterns or outliers in data that do not conform to expected behaviour. A/B Testing: A statistical method for comparing two versions of a variable to determine which one performs better.

Data Analyst

Data Analyst Data Science Machine Learning Machine Learning

Webinars

How to Achieve High-Accuracy Results When Using LLMs

MORE WEBINARS

Data Science Current

Understanding Data Science and Data Analysis Life Cycle

The Data Dilemma: Exploring the Key Differences Between Data Science and Data Engineering

Basic Data Science Terms Every Data Analyst Should Know

Webinars

Stay Connected