DataCamp Recruit: A better way to hire data professionals
DataCamp Recruit is built to help you find, hire and scale industry leading data teams. The platform provides access to one of the largest sources of certified data professionals, with clear insights into the precise skills, experience, and expertise that you need to hire for.
With Recruit, you will be able to
Hire faster through access to job-ready data talent
Hire better through clear insights into a candidate's skills
Match with candidates and skill sets that you need to hire for
Access to certified data talent
From the leader in data science education
Money back guarantee if no hires are made in the first 12 months
00:00 - 00:35 Intro
00:35 - 00:56 Adding job title and type
00:56 - 01:21 Adding tech stacks
01:22 - 1:46 Adding contract information
01:46 - 01:54 Adding experience levels
01:55 - 02:18 Adding requirements and responsibilities
02:18 - 02:40 Publishing job posts
02:40 - 04:18 Sourcing candidates
04:18 - 04:29 Candidate outreach
04:29 - 04:38 Outro
Check out our short demo to get an idea of how to use Recruit. You can get started for free or request a demo at https://www.datacamp.com/hire-data-professionals
Interesting Reads:
The Top 21 Data Engineering Interview Questions, Answers and Examples | DataCamp https://www.datacamp.com/blog/top-21-data-engineering-interview-questions-and-answers
Top 10 Deep Learning Books to Read in 2022 | DataCamp https://www.datacamp.com/blog/top-10-deep-learning-books-to-read-in-2022
A Beginner's Guide to The Machine Learning Workflow | DataCamp https://www.datacamp.com/blog/a-beginner-s-guide-to-the-machine-learning-workflow
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SQL Server Tutorial: Date manipulation
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R Tutorial: Intermediate Interactive Data Visualization with plotly in R
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R Tutorial: Adding aesthetics to represent a variable
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R Tutorial: Moving Beyond Simple Interactivity
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Python Tutorial: Why use ML for marketing? Strategies and use cases
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Python Tutorial: Preparation for modeling
DataCamp
Python Tutorial: Machine Learning modeling steps
DataCamp
R Tutorial: The prior model
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R Tutorial: Data & the likelihood
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R Tutorial: The posterior model
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R Tutorial: An Introduction to plotly
DataCamp
R Tutorial: Plotting a single variable
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R Tutorial: Bivariate graphics
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Python Tutorial: Customer Segmentation in Python
DataCamp
Python Tutorial: Time cohorts
DataCamp
Python Tutorial: Calculate cohort metrics
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Python Tutorial: Cohort analysis visualization
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R Tutorial: Building Dashboards with flexdashboard
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R Tutorial: Anatomy of a flexdashboard
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R Tutorial: Layout basics
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R Tutorial: Advanced layouts
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Python Tutorial: Time Series Analysis in Python
DataCamp
Python Tutorial: Correlation of Two Time Series
DataCamp
Python Tutorial: Simple Linear Regressions
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Python Tutorial: Autocorrelation
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R Tutorial: The gapminder dataset
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R Tutorial: The filter verb
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R Tutorial: The arrange verb
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R Tutorial: The mutate verb
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R Tutorial: What is cluster analysis?
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R Tutorial: Distance between two observations
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R Tutorial: The importance of scale
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R Tutorial: Measuring distance for categorical data
DataCamp
Python Tutorial: Plotting multiple graphs
DataCamp
Python Tutorial: Customizing axes
DataCamp
Python Tutorial: Legends, annotations, & styles
DataCamp
Python Tutorial: Introduction to iterators
DataCamp
Python Tutorial: Playing with iterators
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Python Tutorial: Using iterators to load large files into memory
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SQL Tutorial: Introduction to Relational Databases in SQL
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SQL Tutorial: Tables: At the core of every database
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SQL Tutorial: Update your database as the structure changes
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Python Tutorial: Classification-Tree Learning
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Python Tutorial: Decision-Tree for Classification
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Python Tutorial: Decision-Tree for Regression
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Python Tutorial: Census Subject Tables
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Python Tutorial: Census Geography
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Python Tutorial: Using the Census API
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R Tutorial: A/B Testing in R
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R Tutorial: Baseline Conversion Rates
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R Tutorial: Designing an Experiment - Power Analysis
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R Tutorial: Introduction to qualitative data
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R Tutorial: Understanding your qualitative variables
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R Tutorial: Making Better Plots
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SQL Tutorial: OLTP and OLAP
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SQL Tutorial: Storing data
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SQL Tutorial: Database design
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Python Tutorial: Introduction to spaCy
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Python Tutorial: Statistical Models
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Python Tutorial: Rule-based Matching
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Chapters (10)
00:35 Intro
0:35
00:56 Adding job title and type
0:56
01:21 Adding tech stacks
1:22
1:46 Adding contract information
1:46
01:54 Adding experience levels
1:55
02:18 Adding requirements and responsibilities
2:18
02:40 Publishing job posts
2:40
04:18 Sourcing candidates
4:18
04:29 Candidate outreach
4:29
04:38 Outro
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Tutor Explanation
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