Data Analytics in Python is a course that focuses on how to use the Python programming language to analyze & visualize

What you will learn

Bases to develop a data analytics project

tools in python for any data analysis project

how to approach data projects

development of a project for portfolio of developments

Description

Data Analytics with Python is an exciting and challenging course that will teach you how to transform data into valuable insights. In a world where information is a critical resource, data analysis is essential to gain insights, make informed decisions, and improve results.

In this course, you’ll learn how to use the powerful Python programming language to effectively explore, clean, analyze, and visualize data. From manipulating large data sets to creating stunning visualizations, we’ll teach you everything you need to know to become a world-class data analyst.

You will learn to work with tools such as Pandas, Matplotlib, and Seaborn, which are widely used in the industry and allow for fast and efficient data manipulation. This course is perfect for those with an interest in technology, data, and informed decision making. Whether you’re looking for a career change or just want to expand your skills, Data Analytics with Python is an exciting and rewarding course that will take you to a new level in your career. Join us to learn how to transform data into valuable knowledge!


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This project that you will develop here will serve for your portfolio of projects and thus be successful in this area.

let the learning begin!

English
language

Content

IntroducciΓ³n

what are we going to do?

First steps

What is Python
Installation

Libraries and Variables

Libraries and Variables

Data Wrangling

Drop & duplicated
Nulls & Outliers

Exploratory Data Analysis

EDA I
EDA II Univariate
EDA II Bivariate
EDA III Multivariate

Principal component analysis

PCA

The beginning of your glory

Next steps