Apache Hadoop, Data Visualization, Exploratory Data Analysis and Hypothesis Testing

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

Pickl AI

JULY 25, 2023

Proficient in programming languages like Python or R, data manipulation libraries like Pandas, and machine learning frameworks like TensorFlow and Scikit-learn, data scientists uncover patterns and trends through statistical analysis and data visualization. Data Visualization: Matplotlib, Seaborn, Tableau, etc.

Data Engineering

Data Engineering Data Engineer Data Engineering Data Engineering

Introduction to R Programming For Data Science

Pickl AI

JULY 10, 2023

. · Statistical Analysis: R has a rich ecosystem of packages for statistical analysis. It provides functions for descriptive statistics, hypothesis testing, regression analysis, time series analysis, survival analysis, and more.

Data Science

Data Science Data Scientist Machine Learning Machine Learning

Data Science Current

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

Introduction to R Programming For Data Science

Webinars

Stay Connected