Data Science Dojo

JANUARY 22, 2023

In this blog, we will discuss exploratory data analysis, also known as EDA, and why it is important. To put it simply, the goal of EDA is to discover underlying patterns, structures, and trends in the datasets and drive meaningful insights from them that would help in driving important business decisions. DSD got you covered!

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Mlearning.ai

MARCH 5, 2023

Before conducting any formal statistical analysis, it’s important to conduct exploratory data analysis (EDA) to better understand the data and identify any patterns or relationships. EDA is an approach that involves using graphical and numerical methods to summarize and visualize the data. We can use summary statistics to do this.

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Pickl AI

OCTOBER 14, 2024

Introduction Data Analysis transforms raw data into valuable insights that drive informed decisions. Data Analysis examines, cleans, transforms, and models data to extract meaningful information. Role in Extracting Insights from Raw Data Raw data is often complex and unorganised, making it difficult to derive useful information.

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Pickl AI

APRIL 3, 2025

From website clicks and social media interactions to sales figures and scientific measurements, information pours in from every direction. Data Analysis is the systematic process of inspecting, cleaning, transforming, modelling, and interpreting data to discover useful information, draw conclusions, and support decision-making.

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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. They collect, clean, and analyse data to extract actionable insights that help organisations make informed decisions.

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Pickl AI

NOVEMBER 4, 2024

Statistics Understand descriptive statistics (mean, median, mode) and inferential statistics (hypothesis testing, confidence intervals). Seaborn Built on top of Matplotlib, Seaborn simplifies the creation of attractive and informative statistical graphics. These concepts help you analyse and interpret data effectively.

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Ocean Protocol

SEPTEMBER 9, 2024

By conducting exploratory data analysis (EDA), they will identify relationships between these variables and generate insights on how strategy impacts race outcomes. Participants will use EDA and statistical analysis to understand how tire management and pit stop decisions impact race outcomes.

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