I learned about CoRise about a year ago from my friend who had just started teaching a class on dbt. Listening to her experience it sounded like a great option to discuss interesting subjects while being able to get into more detail than you are normally limited to with a single blog post or hour long talk. I had a few topics in mind but one topic I’m particularly interested in and wanted to expand upon was data engineering, specifically around Dagster.

I have now completed two runs of my CoRise course (with another coming up soon) and have really enjoyed the experience. Looking back I wanted to share some thoughts on building and maintaining a course with CoRise.

CoRise is thrilled to announce that we’ve partnered with the Linux Foundation Training & Certification and the Cloud Native Computing Foundation (CNCF) to offer an exciting opportunity for you to get trained and certified in Kubernetes, one of the most sought-after skills in the industry today. If you’re an aspiring DevOps professional looking to level up your skills and boost your career, this course path is for you!

We’re excited to announce our new course offering, Forecasting with Machine Learning! Beginning on March 13, this four-week long course will introduce you to one of the most prevalent applications of machine learning: time-series forecasting.

We’re excited to announce our new course offering, Full-Stack Machine Learning With Metaflow!  Beginning on April 24, this four-week long course will teach you how to bridge the gap between laptop data science and production ML workflows. We’ll show you how to use industry-standard tools like Metaflow to productionize your machine learning workflows, focusing on maximizing the value and robustness of the outputs.

Throughout, you’ll learn how to think strategically about your model and make a strong case for its place within your company’s broader organizational strategy.

On that note, we thought we’d celebrate our new course with a short primer on how to use machine learning to deliver tangible business value. Enjoy!

We’re thrilled to announce that we’ve partnered with the data engineering experts at Astronomer to launch our new course offering, Effective Data Orchestration with Airflow! Beginning February 6, this four-week long course will introduce you to Airflow 2.5, the latest release of the popular open source platform. We’ll walk you through everything you need to know about using Airflow to programmatically author, schedule, and monitor workflows to orchestrate reliable and cost-effective data pipelines.

We’re excited to announce that we’ve partnered with the business intelligence experts at Ikigai to bring you a new course offering, Time Series Analytics!

Beginning on March 27, this four-week course will introduce you to time series analytics and walk you through the best methods for using it to make forecasts. Work on real-world, project-based scenarios and learn from two leading experts in the industry (your main instructor, Devavrat Shah, also teaches computer science and AI at MIT). If you’re interested in mastering a cornerstone of data analytics, you can’t miss this course!

To celebrate our new course – and show you why this is such a valuable skill to learn – we’ve compiled a list of twenty timely and relevant use cases for time series analytics and forecasting.

We’re excited to announce our new course offering, DataPrepOps and the Practice of Data-Centric AI! Beginning on February 6, this four-week long course will arm you with practical data preparation skills to improve model performance in any machine learning project.

In addition to working on real-world challenges like running your own active learning process and building a mini MLOps pipeline, you’ll learn a formal DataPrepsOps process you can use on machine learning projects moving forward. If you’re interested in machine learning or MLOps, consider this course foundational.

To celebrate our new course, we’ve compiled five DataPrepOps tips to help improve model performance and accuracy. These tips just scratch the surface – if your curiosity is piqued, we’ll see you in February!

Sydney Bang is an Associate Data Analytics Engineer at Spotify and an Alumni of CoRise's Analytics Engineering with dbt course. Her career started in Kinesiology and she writes about her journey transitioning from exercise science to a successful career as an Analytics Engineer.

Venkatesh Prasanna is a Technology Architect and Ayush Kataria is a Specialist Programmer focused on Search at Infosys Wingspan. They recently completed the Search Fundamentals course on CoRise and brought many ideas back to the search system at their company.

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.