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Learn MoreReading Data with Python and Pandas
What about this course?
Every data science project begins with importing data. In this course, you’ll learn the basics and beyond, starting with how data is imported using Python and Pandas. From there, you’ll focus on reading external data into Pandas data structures, using different methods. You’ll also be able to deal with data that contains wrong delimiters, encoding, or quote charts. We’ll cover all the steps, options, and issues you need to be aware of to successfully handle the data you’re working with.
Duration
4 hours
Difficulty
professional
INE's world-class IT trainingInstructor for this course
Santiago Basulto
This course is composed by the following modules
INE's world-class IT training
Module 1
Basic file types3 videos, 6 exercise
Reading CSV and TXT files
Load movies dataset
Advanced parsing on movies dataset
Reading Excel files
Reading Playstore Apps Excel File
Load Playstore Apps Excel File with Multiple Sheets
Reading JSON Files
Parse artists JSON file
Artists nested biography
Module 2
Relational Database connections1 video, 3 exercise
Reading data from relational databases
Vancouver crime information
Querying Vancouver crimes
Crypto currency database
Module 3
Advanced file types2 exercise, 3 videos
Fetching data from a REST API
Discover StarWars people
Reading HTML tables
Get FIFA players from the web
Complementary file types and IO tools
Module 4
Final Project1 lab
Health and Obesity Trends
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