Analysis of data

Case Study (Python, Tableau): stimare le tariffe dei taxi in anticipo rispetto alla corsa

Case Study (Python, Tableau): estimating taxi fares in advance of the ride

Data Science is a complex discipline, full of challenges and opportunities. But what if you could learn advanced concepts such as exploratory data analysis (EDA), statistical testing, multiple regression, and machine learning models? Thanks to my new case study, which is accessible in my website’s “Academy” section, this is now possible.

Tableau Python
usare Python con Tableau

Enhancing Data Analysis: integrating Python into Tableau

In the era of Big Data, analysing and visualising complex data is essential for any Digital Data Analyst. Tableau has an intuitive data visualization interface but is limited in its native statistical modelling capabilities.

Tableau Python
Oltre i numeri: capire la statistica attraverso Tableau

Beyond the numbers: understanding statistics through Tableau

This article explores the critical role of statistics in data analysis and how Tableau can facilitate understanding complex concepts through visualisation.

EDA: Exploratory Data Analysis

EDA: understanding the process through the PACE framework.

In the world of Data Analysis, Exploratory Data Analysis (EDA) is a fundamental process that precedes any form of advanced modelling. In this article, we will go into the heart of EDA, explaining the concepts simply and straightforwardly, using the PACE framework to structure our approach.

Framework PACE: Plan, Analyze, Construct, Execute

Turn Data into Decisions with the PACE Framework

The PACE framework offers a well-defined structure for managing intricate and constantly changing tasks. Its adaptability prepares data analysis professionals for a rapidly changing professional environment, emphasizing the importance of flexibility and communication.

Northwind Traders | Annual Business Overview

Essential KPIs for analyzing data in key job sectors

In this article, we explore the importance of KPIs in data analysis and provide a list of key performance indicators for various job sectors. Learn how to choose the right KPIs to monitor performance and drive informed decisions in your industry.

Learn SQL Basics for Data Science Specialization

Specialization in “Learn SQL Basics for Data Science”

Find out everything you need about Coursera’s Learn SQL Basics for Data Science specialization. This detailed review covers course content, projects, benefits of learning SQL, and more. Get an in-depth look at this specialization and determine if it is the right choice for you.

Python SQL
Case Study (SQL, Python): Analysis of Olympic Games Data

Case Study (SQL, Python): Data analysis of the Olympic Games

In the world of Data Science, SQL is critical for data extraction, manipulation, and analysis. In this article, I will present a case study in which I used SQL to analyze a historical dataset from the Olympic Games.

Python SQL

Specialization in Excel Skills for Data Analysis and Visualization

We live in an era when data is crucial for driving decisions and strategies. Proficiency in quickly and accurately interpreting vast data sets is now a prerequisite in many professional fields.

Excel Power BI

Optimizing can production: a case study of Data Analysis in Excel

In business, optimization of production processes is critical to reducing costs and improving efficiency. This case study will examine how a beverage company can optimize can production using several Excel functions. We will discover how Data Analysis skills can help solve complex problems and make meaningful improvements in the real world.

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