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- 45% 130+ Exercises - Python Programming - Data Science - Pandas

130+ Exercises – Python – Data Science – Pandas – 2022

$10.99Track price

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130+ Exercises – Python Programming – Data Science – Pandas

Welcome to the 130+ Exercises – Python Programming – Data Science – Pandas course where you can test your Python programming skills in data science, specifically in Pandas.

Some topics you will find in the exercises:

working with Series

working with DatetimeIndex

working with DataFrames

reading/writing files

working with different data types in DataFrames

working with indexes

working with missing values

filtering data

sorting data

grouping data

mapping columns

computing correlation

concatenating DataFrames

calculating cumulative statistics

working with duplicate values

preparing data to machine learning models

dummy encoding

working with csv and json filles

merging DataFrames

pivot tables

The course is designed for people who have basic knowledge in Python, NumPy and Pandas. It consists of 130 exercises with solutions.  This is a great test for people who are learning the Python language and data science and are looking for new challenges. Exercises are also a good test before the interview. Many popular topics were covered in this course.

If you’re wondering if it’s worth taking a step towards Python, don’t hesitate any longer and take the challenge today.

Stack Overflow Developer Survey

According to the Stack Overflow Developer Survey 2021, Python is the most wanted programming language with NumPy being the second most used tool in the Other Frameworks and Libraries category. Python passed SQL to become our third most popular technology. Python is the language developers want to work with most if they aren’t already doing so.

Specification: 130+ Exercises – Python – Data Science – Pandas – 2022

Duration

0.8 hours

Year

2022

Level

Beginner

Certificate

Yes

Quizzes

Yes

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130+ Exercises – Python – Data Science – Pandas – 2022
130+ Exercises – Python – Data Science – Pandas – 2022

$10.99

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