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Importing & Cleaning Data with Python

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Total Duration
13 Hours

Understanding how to prep your data is an essential skill for working in Python. It’s what you have to do before you can reveal the insights that matter. In this track, you’ll learn how to import your data from a variety of sources, including .csv, .xls, text files, and more. After learning how to import your data it’s time to prepare your data for analysis. You’ll work with real-world data such as restaurant reviews as you learn how to handle improper data types, deal with missing data, and …

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Courses in this Learning Path
1
Introduction to Importing Data in Python
DataCamp Course via DataCamp
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Duration : 3 hours
Price :₹1,093
Level :Beginner
Learn Type :Certification
Introduction to Importing Data in Python

Data scientists are responsible to clean, manipulate, and interpret data. Before you can do all of this, however, you need to know how to import data in Python. This course will show you how to import data from flat files such as.txt and.csv into Python. It also covers files native to other programs like Excel spreadsheets, Stata files and SAS files. This course also covers relational databases …

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2
Intermediate Importing Data in Python
DataCamp Course via DataCamp
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Duration : 2 hours
Price :₹1,093
Level :Intermediate
Learn Type :Certification
Intermediate Importing Data in Python

Data scientists are responsible to clean, manipulate, and interpret data. Before you can do all of this, however, you need to know how to import data in Python. This course teaches you how to import data from flat files such as.txt and.csv into Python. It also covers files native to other programs like Excel spreadsheets, Stata files and SAS files. This course will help you expand your knowledge …

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3
Cleaning Data in Python
DataCamp Course via DataCamp
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Duration : 4 hours
Price :₹1,093
Level :Intermediate
Learn Type :Certification
Cleaning Data in Python

Data scientists spend around 80% of their time cleaning and manipulating data and 20% on analysing it. Spending time cleaning data is crucial as it can lead to incorrect conclusions.

Data cleansing is an essential task in data science. Data cleaning is essential in data science. Data cleaning is essential for data science. Without it, machine learning and data analysis will fail. This course will …

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4
Reshaping Data with pandas
DataCamp Course via DataCamp
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Duration : 4 hours
Price :₹1,093
Level :Intermediate
Learn Type :Certification
Reshaping Data with pandas

Although data often arrives in a format that is difficult to understand by humans, it isn't ideal for data analysis. Pandas can convert DataFrames into different formats. This course will improve your skills as an analyst and data scientist. This course will teach you how to manipulate string columns as well as nested information within a DataFrame. You will work with real-world data like book …

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5
Importing & Cleaning Data with Python
DataCamp Course via DataCamp
learnpath-img
Duration : 13 hours
Price :₹1,093
Level :Intermediate
Learn Type :Certification
Importing & Cleaning Data with Python

Working in Python requires that you know how to prepare your data. You must know what to do before you can get the real insights. This track will teach you how to import data from many sources including.csv and.xls. Once you have learned how to import your data, it is time to prepare your data to be analysed. As you work with real-world data like restaurant reviews, you'll learn how to deal …

Read More