Today we’re proud to announce the launch of two new career tracks to help learners prepare for roles and excel as Data Scientists and Data Analysts. Demand for data-related roles is projected to increase considerably over the next decade, and unsurprisingly, these have been some of the most requested topics by our learners. Both tracks combine industry-leading instructors, applied projects, and global communities of professionals. Read more about each track below.

Python is one of the most versatile programming languages, and often touted as the best one to start a programming career because of a short learning curve. Python has been around for nearly 30 years and is still rising in popularity because of a neverending list of use cases, including the latest in data science and machine learning.

We’re excited to share that we’re accepting applications for our second free course, Python for Data Science, which will go live in December. Check it out here.

Our previous post focused on using content understanding to make indexed content more findable. This post will explore ways to improve search through query understanding, the process by which a search engine transforms a search query to represent the searcher’s intent.

In this post, we’ll explore ways to improve search using content understanding. If you want to learn more about this, check out our upcoming Search with Machine Learning course, where we go into these concepts in depth and work on projects that apply these concepts to real world scenarios.

We are incredibly proud to announce our seed financing and the official launch of CoRise! Learn more about our mission is to upskill the world’s workforce and unlock every learner’s potential.

We scoured the internet for the best free courses for anyone looking to learn SQL, a language that helps anyone – Product Managers, Data Scientists, Marketers, Sales people, Finance teams – to work with data. We’re excited to share the top 6 resources we found.

For our 4th run of Analytics Engineering with dbt course, we are excited to add two new industry leading tools to our teaching stack: Snowflake as the data warehouse and Sigma for data visualization. Learn more about how this course integrates the practices, tools, and on-the-job realities of an Analytics Engineer.

We're thrilled to announce the launch of our free SQL Crash Course! This 2-week course is live, cohort-based, and will introduce the fundamentals of SQL - what it is, why it's so powerful, and how to get started writing queries. This course is perfect for anyone looking to start a career in data science or analytics!

Our brand new Analytics Engineering Track includes 3 core courses to help you gain fluency with the essential building blocks of SQL, Python, and dbt to become an Analytics Engineer.

Zoe Liang, an Analytics Engineer at Hightouch and an alumni of Analytics engineering with dbt, recently sat down with Jacob Samuelson, Co-Founder and Chief Product Officer at CoRise, to discuss how the course impacted Zoe's career trajectory from a data analyst to an analytics engineer.

Today, we are thrilled to share that we’re launching CoRise Memberships with unlimited access to the all courses on the platform and more! Join learners from top organizations who are using CoRise Memberships to learn the most in-demand skills and grow their careers.

Scott Millslagle, a Data Engineer at Handshake, and Max Allen, a Risk Engineer at Ramp, were learners in the the first run of CoRise's Machine Learning Foundations Track. They recently sat down with Sourabh Bajaj, CoRise Co-Founder, to dicuss thier experiences and key take aways from the track.

Emily Ekdahl is a Senior Machine Learning Engineer, and was one of the first learners to complete the CoRise Machine Learning Foundations track. Emily sat down with Julia Stiglitz, CoRise co-founder and CEO, about her experience in the track and what she’s tackling next.

Rishabh Mehrota is currently Director of Machine Learning at ShareChat, former tech lead at Spotify, and instructor of Personalized Recommendations at Scale on CoRise. Rishabh sat down with CoRise co-founder Sourabh Bajaj to discuss how he leverages user behavior data and insights to build complex recommender systems.

Panel discussion on careers in Machine Learning with Kaushik Rangadurai (technical leader at Meta), Shalvi Mahajan (AI scientist at SAP), and Frank Chen (founding engineer at CoRise).

Nick Frosst, co-founder and CEO of Cohere, sat down with CoRise co-founder Sourabh Bajaj to discuss his experience building large-scale NLP models at Cohere and Google Brain and advice on careers in NLP.

Josh Wills, a software engineer at WeaveGrid (ex Slack, Google, Cloudera, and IBM) sat down with Nihit Desai, CTO and co-founder or Refuel.AI, to discuss applying machine learning to real-world challenges.

Ola Gustafsson, a Data Scientist, discusses his experience taking Search on co:rise, building deep connections, and applying knowledge directly to his work.

Daniel Tunkelang is one of the instructors of the co:rise Search Track, and former search lead at Google, Linkedin, and co-founder Endeca. He recently sat down with Dimitry Kan, AI scientist at Silo AI, to discuss using ML to improve search.

Vijay Karunamurthy is the head of engineering at Scale AI. He has been at the forefront of new developments in AI in personalization, privacy, search, monetization, and more. co:rise instructor Mike Wu sat down with Vijay to talk about his career journey, recent developments in AI, and his advice for getting into this fast-growing field

Ben Wilson is an analytics engineer at Mammoth Growth, an analytics consultancy that helps companies get the most out of their data. He landed the role after taking the Analytics Engineering with dbt course with co:rise.

I started as a BI analyst 3 years ago, and now I'm a Data Engineering Manager building out our Data Platform team. I’ve created this dbt course with co:rise so that I can help other people break into analytics engineering.

Search engines are at the heart of the digital world. We interact with them on the outside, using search engines to find information, products, and more. But they do even more unseen work behind the firewall, processing event logs, etc.