Pickl AI

MAY 30, 2024

Summary: The Data Science and Data Analysis life cycles are systematic processes crucial for uncovering insights from raw data. Quality data is foundational for accurate analysis, ensuring businesses stay competitive in the digital landscape. billion INR by 2027.

Data Analysis 52

Data Analysis Data Analysis Data Science Exploratory Data Analysis 52

Mlearning.ai

APRIL 25, 2023

Photo by Juraj Gabriel on Unsplash Data analysis is a powerful tool that helps businesses make informed decisions. In this blog, we’ll be using Python to perform exploratory data analysis (EDA) on a Netflix dataset that we’ve found on Kaggle. df = df.dropna() df.isnull().sum() sum() df['rating'].value_counts()

Data Analysis 52

Data Analysis Data Analysis Python Exploratory Data Analysis 52

Tableau

NOVEMBER 14, 2023

Alberto Cairo, data visualization expert and author of How Charts Lie Whether you are reading a social post, news article or business report, it’s important to know and evaluate the source of the data and charts that you view. Data Visualization expert and author Kathy Rowell says that we should always ask “Compared to What?”,

Data Visualization 121

Data Visualization Tableau Data Analysis Data Analysis 121

Pickl AI

DECEMBER 3, 2024

With the explosion of data in recent years, it has become essential for data scientists and Machine Learning practitioners to understand and effectively apply preprocessing techniques. Matplotlib/Seaborn: For data visualization. Loading the dataset allows you to begin exploring and manipulating the data.

Python 52

Python ML ML Exploratory Data Analysis 52

Pickl AI

JANUARY 13, 2025

million by 2027. They employ statistical methods and machine learning techniques to interpret data. Key Skills Expertise in statistical analysis and data visualization tools. Data Analyst Data Analysts gather and interpret data to help organisations make informed decisions.

AI 52

AI AI Machine Learning Machine Learning 52