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With 30 million plus registered users, Coursera has already become an established MOOC platform to learn topics of various genres.
Coursera is known for its quality material at affordable prices to help you keep updated about the latest trends and technologies.
Is Coursera Free?
No. You need to pay a fee in order to get course certification (ranging from $29 to $95) for the courses you wish to study.
Some Coursera courses facilitate onetime payment fee that lasts for 180 days.
If you enrol to courses that are part of a specialization, you have to opt for monthly subscriptions.
These python numpy courses in Coursera will help you get acquainted with the popular array processing library in Python.
All these courses are curated and taught by professors from world’s best universities.
These handpicked Coursera numpy courses can give you a better option to start with the extensively used data analysis library
Best Numpy Tutorial on Coursera – Our Picks
Introduction to Data Science in Python – University of Michigan
The introductory python course is part of the popular applied data science with Python specialization.
You get to know the basics of python programming environment, data manipulation and data cleaning techniques.
The course has subtitles in English, Chinese, Portuguese, Vietnamese, Korean and Hebrew.
Course Ratings: 4.5+ from 8,584+ students
Key Learning’s from the Course:
- Introduction to common Python functionality and features
- Pandas fundamentals for data cleaning and processing
- Read, query and index data into DataFrame structures
- How to merge DataFrames and create metrics for data analysis
- Introduction to statistical techniques
Who is this course best suited?
If you are looking for the best introductory course to learn python basics with numpy in Coursera.
Skills Gained from the Course: Python Programming, Numpy, Pandas and Data Cleansing
Course Reviews
Python for Data Science – IBM
A beginner friendly Python course from IBM, it is part of their Data Science Professional Certificate.
The course is aimed at beginners and teaches the python programming from scratch.
Available in English and German.
Course Ratings: 4.6+ from 1,463+ students
Key Learning’s from the Course:
- Introduction to Python basics concepts
- About Python Data Structures
- Python Programming fundamentals like functions, classes, objects, loops, etc.
- Data analysis in Python using Pandas and numpy
Who is this course best suited?
For all those those who want to learn Python from Scratch along with its data libraries.
Skills Gained from the Course: Data Science, Python Programming, Numpy and Pandas
Course Reviews
Data Processing Using Python – Nanjing University
This coursera python basics with numpy is aimed at those coming from a non-computer background and want to learn how to process data using Python.
Taught by Nanjing University, it has subtitles in English.
Course Ratings: 4.4+ from 100+ students
Key Learning’s from the Course:
- How to use Python to analyse and present data on libraries like SciPy, etc
- Python basics such as data types, conditions, loops, functions, modules, etc
- Techniques to acquire data in Python and process data using Python data structures
- Uses of data structure dictionaries and sets in Python
- Apply ndarrays, series and dataframe computing packages in Python
- Python Data statistics and visualization
Who is this course best suited?
Anybody who wants to have a better understanding of Python and its data structures.
Skills Gained from the Course: Python Programming, Numpy, Pandas and WxPython
Course Reviews
Machine Learning: Regression – University of Washington
Offered by University of Washington, the course is part of the popular Machine Learning Specialization at Coursera.
Available with subtitles in English and Arabic.
Course Ratings: 4.8+ from 3,934+ students
Key Learning’s from the Course:
- Input and output of a regression model
- Data modelling, algorithm optimization and cross validation techniques
- Analyze the performance of the model (Lasso model)
- How to deploy models to form predictions
- How to build a regression model using a housing dataset
- Implement these techniques in Python
Who is this course best suited?
For those who want to explore in depth concepts of regression in ML.
Skills Gained from the Course: Linear Regression, Ridge Regression, Statistics and Regression Analysis
Course Reviews
Data Analysis with Python – IBM
Offered by IBM, the course teaches you how to analyse data using Python and is part of their Data science professional certificate.
Subtitles are available in English and Arabic.
Course Ratings: 4.6+ from 972+ students
Key Learning’s from the Course:
- Importing datasets
- Data Cleaning
- How to use Pandas, NumPy and SciPy libraries
- Data Frame manipulation
- Introduction to Scikit – learn and how to use its ML algorithms to make data predictions.
Who is this course best suited?
All those interested to learn data analysis in Python library.
Skills Gained from the Course: Predictive Modelling, Python Programming, Data Analysis, Data Visualization and Model Selection
Course Reviews
Note: All Coursera courses come with a self-paced learning option, shareable certificates, practice quizzes, graded assignments with peer feedback. There are no refund policies at Coursera but you have a 7 days free trial to begin with.
Do you recommend any other best numpy courses on Coursera worth enrolling into? Let us know in the comments.
Happy Learning!
