5 Free Stanford College Programs to Study Knowledge Science – KDnuggets

Studying information science has by no means been extra accessible. In the event you’re motivated, you possibly can educate your self information science—at no cost—with the programs from elite universities the world over.

We have put collectively this checklist of free programs from Stanford College that can assist you study all of the important information science abilities:

• Programming fundamentals 
• Databases and SQL
• Machine Studying
• Working with giant datasets 

So begin studying right this moment to realize your studying objectives and kickstart your information profession. Now let’s go over these programs.

To get began with information science, constructing programming foundations in a programming language like Python is vital. The Programming Methodology class teaches Python programming from the bottom up and doesn’t assume any earlier programming expertise.

On this course, you’ll study downside fixing with Python whereas turning into aware of the options of the language. You’ll begin with the fundamentals similar to variables and management circulation after which study built-in information buildings like lists and dictionaries.

Alongside the best way, you’ll additionally discover ways to work with pictures, discover object-oriented programming in Python and reminiscence administration.

Hyperlink: Programming Methodology

A powerful understanding of databases and SQL is vital to achieve any information profession. You may take the favored databases course by Prof. Jennifer Widom as a sequence of 5 self-paced programs on edX.

Observe: You may audit the course and entry all course contents at no cost. 

If you’re new to databases, take the primary course protecting the fundamentals of relational databases earlier than you proceed to the programs on extra superior subjects. By working by way of the sequence of programs, you’ll study:

• Relational databases and SQL
• Question efficiency
• Transaction and concurrency management
• Database constraints, triggers, views
• OLAP cubes, star schema
• Database modeling
• Working with semi-structured information like JSON and XML

Hyperlinks to the programs: 

1. Databases: Relational Databases and SQL
2. Databases: Superior Subjects in SQL
3. Databases: OLAP and Recursion 
4. Databases: Modeling and Idea
5. Databases: Semistructured Knowledge

As a knowledge scientist, you must be capable to analyze information utilizing Python and SQL and reply enterprise questions. However typically you might also have to construct predictive fashions. Which is why studying machine studying is useful.

Machine Studying  or CS229: Machine Studying at Stanford college is without doubt one of the hottest and extremely advisable ML programs. You’ll study every little thing you’d sometimes study in a semester-long college course. This course covers the next subjects: 

• Supervised studying 
• Unsupervised studying 
• Deep studying
• Generalization and regularization 
• Reinforcement studying and management 

Hyperlink: Machine Studying

An Introduction to Statistical Studying with Purposes in Python (or ISL with Python) is the Python version of the favored ISLR e book on statistical studying. 

The Statistical Studying with Python course covers all of the contents of the ISL with Python e book. So that you’ll study important instruments for information science and statistical modeling. Right here is an summary of vital subjects that this course covers:

• Linear regression
• Classification 
• Resampling 
• Linear mannequin choice
• Tree-based strategies 
• Unsupervised studying
• Deep studying 

Hyperlink: Statistical Studying with Python

Mining Large Knowledge Units is a course specializing in information mining and machine studying algorithms for working with and analyzing huge datasets. 

To take advantage of out of this course you need to be snug with programming, ideally with Java or Python. You must also be aware of math: likelihood and linear algebra. In the event you’re a newbie, think about working by way of the programs talked about earlier earlier than you’re taking this one.

Listed below are some subjects this course covers:

• Nearest neighbor search in high-dimensional house 
• Locality Delicate Hashing (LSH)
• Dimensionality discount 
• Giant-scale supervised machine studying 
• Clustering 
• Suggestion programs 

You should use the Mining Large Datasets e book as a companion to this course. The e book can also be accessible at no cost on-line.

Hyperlink: Mining Large Knowledge Units

This compilation of free programs from Stanford College ought to assist you study virtually every little thing you want when you ever wish to discover information science.

In the event you’re in search of college programs to study Python and information science at no cost, listed below are a few articles you could discover useful:

Glad studying!
 
 

Bala Priya C is a developer and technical author from India. She likes working on the intersection of math, programming, information science, and content material creation. Her areas of curiosity and experience embrace DevOps, information science, and pure language processing. She enjoys studying, writing, coding, and occasional! At the moment, she’s engaged on studying and sharing her information with the developer neighborhood by authoring tutorials, how-to guides, opinion items, and extra. Bala additionally creates participating useful resource overviews and coding tutorials.