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Data Analytics in Python

  • Development
  • Apr 21, 2025
SynopsisData Analytics in Python, available at Free, has an average r...
Data Analytics in Python  No.1

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.

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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

  • Data Analytics in Python  No.2
    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

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