Feb 09, 2020 · DQ Courses. dataquest-platform. s.h.mcfarlane February 9, 2020, 1:39am #1. I would like to know how to reset my entire data scientist track as i would like to begin from scratch. 1 Like. chris52 February 9, 2020, 5:22pm #2. There’s an entry in the Knowledge Base that covers exactly what to do - sounds like you need to contact Support. ...
Feb 25, 2022 · In this tutorial, we’ll discuss the reset_index() pandas method, why we may need to reset the index of a DataFrame in pandas, and how we can apply and tune this method. We’ll also consider a small use case of resetting the DataFrame index after dropping missing values. To practice DataFrame index resetting, we’ll use a sample of a Kaggle dataset on Animal Shelter …
Dataquest Basics: Paths, Courses, and Lessons Dataquest’s learning content is broken into (in order of largest to smallest) paths, steps, courses, lessons and guided projects, and screens. Paths are the specific course sequences that are organized around specific job titles and coding languages, like Data Scientist in Python or Data Analyst ...
Upskill with a data science training program that works. Give your employees and students the data skills they need to excel. Learn how to use data tools like Python, R, SQL, Excel, and PowerBI in the real world. Business Plans For Classrooms and Non-profits.
Our learning paths are designed to lay a strong foundational understanding of big data science and analysis concepts, reinforced with a complete framework of career-specific skills from beginner to advanced.
Dataquest certified data professionals report a median $30k+ salary increase from job advancement within one year.
Just came across this sr, hope it's ok to publish those. It's a list of some of the Snowflake Security posts I've written over the past few months.
hi everyone, dbt is a great tool for ELT providing powerful test features, but these tests are run after the data is materialized (either as tables or views). By the time the data is materialized users can access that data.
I need to learn how to write better long queries, like with several nested queries or subqueries. When I search "advanced SQL" ebooks or Udemy courses, they aren't really all that advanced! lol. They still start from the beginning.
Came across this helpful article about how data engineering teams can apply DevOps principles of SLAs, SLIs, and SLOs to their data pipelines to manage quality and reliability. Curious to hear how other teams do this...
Guided projects. The guided projects are not only meant to solidify your knowledge, but also to help build your portfolio and showcase your skills. Guided projects are comprised of several steps, where each step is accompanied by a specific set of instructions to complete a task.
The 80/20 rule states that, for many events, roughly 80% of the effects come from 20% of the causes. — Wikipedia. Also, it’s worth noting that there are other paths available on Dataquest: Data Engineer – all about working with large datasets and building pipelines.