130+ Exercises - Python Programming - Data Science - Pandas
Improve your Python programming and data science skills and solve over 130 exercises in Pandas!
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Summary
- Reed courses certificate of completion - Free
- Tutor is available to students
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Overview
Welcome to the course 130+ Exercises - Python Programming - Data Science - Pandas where you can test your Python programming skills in data science, specifically in Pandas.
Curriculum
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Intro 00:48
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Tips 01:00
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Starter 02:00
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Exercises 1-10 20:00
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Exercises 11-20 20:00
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Exercises 21-30 20:00
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Exercises 31-40 20:00
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Exercises 41-50 20:00
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Exercises 51-60 20:00
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Exercises 61-70 20:00
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Exercises 71-80 20:00
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Exercises 81-90 20:00
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Exercises 91-100 20:00
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Exercises 101-110 20:00
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Exercises 111-120 20:00
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Exercises 121-130 20:00
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Exercises 130+ 04:00
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Bonus 01:00
Course media
Description
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RECOMMENDED LEARNING PATH
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PYTHON DEVELOPER:
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200+ Exercises - Programming in Python - from A to Z
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210+ Exercises - Python Standard Libraries - from A to Z
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150+ Exercises - Object Oriented Programming in Python - OOP
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150+ Exercises - Data Structures in Python - Hands-On
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100+ Exercises - Advanced Python Programming
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100+ Exercises - Unit tests in Python - unittest framework
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100+ Exercises - Python Programming - Data Science - NumPy
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100+ Exercises - Python Programming - Data Science - Pandas
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100+ Exercises - Python - Data Science - scikit-learn
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250+ Exercises - Data Science Bootcamp in Python
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110+ Exercises - Python + SQL (sqlite3) - SQLite Databases
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250+ Questions - Job Interview - Python Developer
SQL DEVELOPER:
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SQL Bootcamp - Hands-On Exercises - SQLite - Part I
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SQL Bootcamp - Hands-On Exercises - SQLite - Part II
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110+ Exercises - Python + SQL (sqlite3) - SQLite Databases
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DESCRIPTION
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Some topics you will find in the exercises:
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working with Series
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working with DatetimeIndex
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working with DataFrames
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reading/writing files
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working with different data types in DataFrames
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working with indexes
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working with missing values
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filtering data
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sorting data
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grouping data
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mapping columns
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computing correlation
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concatenating DataFrames
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calculating cumulative statistics
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working with duplicate values
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preparing data to machine learning models
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dummy encoding
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working with csv and json filles
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merging DataFrames
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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.
Who is this course for?
- everyone who wants to learn by doing
- everyone who wants to improve their Python programming skills
- everyone who wants to improve their data science skills
- everyone who wants to prepare for an interview
Requirements
- completed course '200+ Exercises - Programming in Python - from A to Z'
- completed course '210+ Exercises - Python Standard Libraries - from A to Z'
- completed course '150+ Exercises - Object Oriented Programming in Python - OOP'
- completed course '100+ Exercises - Python Programming - Data Science - NumPy'
- basic knowledge of Pandas
Career path
- Data Scientist/Data Analyst/Machine Learning Engineer
Questions and answers
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Certificates
Reed courses certificate of completion
Digital certificate - Included
Will be downloadable when all lectures have been completed
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Legal information
This course is advertised on reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.
