Data Analytics in Python

Data Analytics in Python, available at Free, has an average rating of 4.37, with 12 lectures, based on 284 reviews, and has 11020 subscribers.

You will learn about 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 This course is ideal for individuals who are Anyone who wants to venture into data analytics It is particularly useful for Anyone who wants to venture into data analytics.

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Summary

Title: Data Analytics in Python

Price: Free

Average Rating: 4.37

Number of Lectures: 12

Number of Published Lectures: 12

Number of Curriculum Items: 12

Number of Published Curriculum Objects: 12

Original Price: Free

Quality Status: approved

Status: Live

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

Who Should Attend

Anyone who wants to venture into data analytics

Target Audiences

Anyone who wants to venture into data analytics

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!

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!

Course Curriculum

Chapter 1: Introducción

Lecture 1: what are we going to do?

Chapter 2: First steps

Lecture 1: What is Python

Lecture 2: Installation

Chapter 3: Libraries and Variables

Lecture 1: Libraries and Variables

Chapter 4: Data Wrangling

Lecture 1: Drop & duplicated

Lecture 2: Nulls & Outliers

Chapter 5: Exploratory Data Analysis

Lecture 1: EDA I

Lecture 2: EDA II Univariate

Lecture 3: EDA II Bivariate

Lecture 4: EDA III Multivariate

Chapter 6: Principal component analysis

Lecture 1: PCA

Chapter 7: The beginning of your glory

Lecture 1: Next steps

Instructors

Juan Felipe Gonzalez Sanmiguel
Tu profe de datos y ciencia

Rating Distribution

1 stars: 8 votes
2 stars: 11 votes
3 stars: 55 votes
4 stars: 104 votes
5 stars: 106 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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