Data Analytics in Python
- Development
- Apr 21, 2025

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.
Free Enroll NowYou 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.
Enroll now: Data Analytics in Python
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
Who Should Attend
Target Audiences
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
Frequently Asked Questions
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You can view and review the lecture materials indefinitely, like an on-demand channel.
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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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