100+ Exercises - Python Programming - Data Science - NumPy
Improve your Python programming and data science skills and solve over 100 exercises in NumPy!
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Summary
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Overview
Welcome to the course 100+ Exercises - Python Programming - Data Science - NumPy, where you can test your Python programming skills in data science, specifically in NumPy.
Certificates
Reed courses certificate of completion
Digital certificate - Included
Will be downloadable when all lectures have been completed
Curriculum
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 numpy arrays
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generating numpy arrays
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generating numpy arrays with random values
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iterating through arrays
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dealing with missing values
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working with matrices
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reading/writing files
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joining arrays
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reshaping arrays
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computing basic array statistics
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sorting arrays
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filtering arrays
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image as an array
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linear algebra
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matrix multiplication
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determinant of the matrix
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eigenvalues and eignevectors
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inverse matrix
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shuffling arrays
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working with polynomials
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working with dates
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working with strings in array
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solving systems of equations
The course is designed for people who have basic knowledge in Python and NumPy package. It consists of 100 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'
- basic knowledge of NumPy library
Career path
- Data Scientist/Data Analyst/Machine Learning Engineer
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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.