Sign inStop Gambling on Data Science and AI Talent, Start Hiring with Confidence
Leverage QuantHub's free assessment, built specifically for data science skills and roles, to identify top talent and elevate your team's capabilities.
Reduce Hiring Cycle Time
Speed up your recruitment process with quick and accurate skill evaluations.
Decrease Turnover Rates
Ensure long-term fits by matching candidates with the precise skills your team needs.
Increase Team Productivity
Build a stronger, more skilled team by selecting candidates proven to excel in data science.
Elevate Your Hiring Strategy With QuantHub
The cost of a bad data hire goes beyond the salary – it’s wasted time, missed opportunities, and stalled innovation. Secure your company’s future with the right talent. Transform the way you discover and engage data science talent. Our assessment tool not only mitigates risks but also opens up new avenues for innovation and growth by connecting you with the best in the field.
Comprehensive Data Science Skills Assessment
QuantHub’s data science skills assessment offers a wide-ranging evaluation of essential competencies necessary in today’s data-driven world. Our assessment covers key areas: Python programming, SQL, advanced modeling techniques including deep learning nad machine learning, data wrangling, and data quality management. We also evaluate skills in critical areas like data storytelling, use of tools like PySpark and Power BI, and AI applications in organizational contexts.
With QuantHub, ensure your candidates possess the right blend of technical expertise and practical knowledge to excel in your data science roles.
Data Skills
- Advanced Modeling
- Applying Classification and Clustering
- Applying natural language processing
- Applying time series analysis
- Data exploration and description
- Hypothesis testing and inferential statistics
- Regression and predictive modeling
- Sampling techniques
- Applications of Deep Learning
- Applying Natural Language with Processing Deep Learning
- Building Deep Learning Architectures
- Executing Deep Learning
- Framing Deep Learning
- Introduction to Deep Learning
- Preparing Data for Deep Learning
- Deploying Machine Learning
- Executing Machine Learning
- Machine Learning Data
- Exploring Data with SQL
- Working with SQL
- Wrangling Data with SQL
- Exploratory Data Analysis with Python
- Modeling with Python
- Working with Python
- Wrangling Data with Python
- Applying OLAP/OLTP and Implementing Databases
- Data Structure and Formatting
- Describing Data Essentials
- Feature Engineering
- Integrating and Managing Data
- Managing Processing and Workflow
- Selecting and working with databases and warehouses
- Exploring and Analyzing Data
- Exploring Data Quality and Structure
- Applying Data Storytelling
- Comparing Methods
- Describing Data Essentials
- Designing Charts
- Identifying Data and Methods
- Interpreting Visuals
- Selecting Visuals
- Using Data
- Exploring Data with Spreadsheets
- Working with Spreadsheets
- Wrangling Data with Spreadsheets
- Exploring Data with PySpark
- Modeling with PySpark
- Wrangling Data with PySpark
- Analyzing Data with Power BI
- Reporting with Power BI
- Applying Data Storytelling
- Building Data Storytelling Narratives
- Choosing Data Storytelling Elements
- Connecting Through Data Storytelling
- Defining Data Storytelling Audience/Purpose
- Designing Charts
- Designing Visual Narrative Text
- Designing Visual Narrative
- Gathering Data for Storytelling
- Incorporating Data in Data Storytelling
- Interpreting Charts
- Presenting Data Stories
- Selecting Visuals
- Structuring Data Storytelling Narratives
- Applying AI in Organizations
- Designing Human-Centered AI Products
- Evaluating AI Product Performance
- Introduction to Boosting Productivity with AI
- Prioritizing AI Initiatives
- Applying Data Ethics
- Applying Data to Decision-Making
- Citizen’s Guide to SQL
- Collecting Data for Statistical Analysis
- Defining Data Roles
- Designing a Statistical Study
- Designing Surveys
- Establishing Data Governance
- Establishing Organizational Data Strategy
- Framing Data Problems
- Identifying Chart Types
- Interpreting Metrics
- Interpreting Statistical Results
- Interpreting Statistics
- Introduction to Data Wrangling
- Introduction to Deep Learning
- Introduction to Reading Charts
- Introduction to Visual Literacy
- Managing Data Innovation
- Managing Data Projects
- Protecting Your Data
- Selecting Data Tools
- Shaping Organizational Data Culture
- Uncovering the Story in Data
- Working with Dashboards
Navigating the Complexities of Data Science Hiring
Are you overwhelmed by the challenge of accurately assessing candidates for data science roles? You're not alone. Finding the right talent is crucial yet daunting.
Built by Data Scientists, Trusted by Industry Leaders
At QuantHub, we’ve faced these hiring challenges ourselves. That’s why our platform is designed with real-world data science recruitment in mind – by data scientists, for data scientists.
Trusted by leading companies like BlueCross BlueShield, HP, and the US Navy, QuantHub boasts the world’s largest curated index of data skills, ensuring precision in every hire.
Simplifying Your Hiring Process in Three Steps
Step 1
Sign up and access our comprehensive data skills assessment.
Step 2
Send out assessments to your candidates effortlessly.
Step 3
Evaluate and hire top-tier data science talent with confidence.
QuantHub vs Traditional Assessments
Unlike generic assessment tools, QuantHub is finely tuned for data science roles, offering detailed insights and a more accurate evaluation of candidate capabilities. Experience a recruitment revolution tailored to the unique demands of the data science industry.
Why Choose QuantHub?
- Accurate and specialized assessment tailored for data science roles.
- Streamline your hiring process with efficient candidate evaluation.
- Zero cost with high-quality assessments.
- Comprehensive Data Science Skill Assessments
- Real-World Application Focus
- Customized Assessments
- Free Data Skill Assessment
- Upskill Tools Available
Competitors
- Testing platforms that attempt to cover thousands of jobs and industries
- Minimal Knowledge of the Complexities of Data Science
- Test Banks Easily Searchable on the Internet
- Over-Generalized Skills Tests without Actionable Skill Reports
Success Stories from Our Clients
Join the ranks of leading companies making smarter, faster hiring decisions with QuantHub. Be at the forefront of recruitment innovation. QuantHub equips you with the tools to not only fill positions but to shape the future of your team with top-tier data science talent.
What Our Customers Say About Us:
QuantHub’s assessments have been very accurate in predicting how a candidate performs in the interview, and ultimately, the role itself. They save us valuable time and allow us to dive deeper in interviews knowing that we already have confidence in a candidate’s fundamental coding and modeling skills.
Michal Paluch
Global Head of PricingI have learned more about central tendency in the last three days using QuantHub than I ever have, and I have a Ph.D. in biotechnology. This is definitely something that teachers will love.
Aimee Tucker
K-12 TeacherI’m a mechanic in maintenance. We do, you know, generator UPS and HVAC work. The biggest thing for me is that before QuantHub I didn’t understand data. Now I look at data and wonder is that real data? Is that something that’s been skewed or tampered with? Until I started learning about data and then I started seeing that it is everywhere, I now know why we need to be proficient and accurate in what we do.
George Holmes
Alabama PowerThe Data literacy program helped me to better communicate with the data scientists on my team and the detection engineers. I was able to better understand the kinds of troubles they were encountering. I didn’t realize with machine learning that if it unattended, we don’t know how it is getting its data. And for cybersecurity, it is really important to understand how those models are achieving their outcomes. QuantHUb turns you into someone who’s data literate, understanding of data and it’s role.
Noah Galang
Southern CompanyWhat I like most about the software is the gamification aspect. Let's be honest; learning about data analytics isn't always fun, but we know how valuable it is. The gamification aspect makes learning about this topic much more fun and engaging!
Angela Santa Cruz
Systems Training SpecialistI really like all of the articles in Quanthub… it only takes me 2-3 minutes to read the articles or to view the videos…
Nur Fatin Humaira
AxiataThe platform really exceeded my expectations because I honestly didn’t know what to expect. I would find myself using it for hours after work.
Tonia Sturges
K-12 TeacherTake the Lead in Data Science Hiring
Join the ranks of leading companies making smarter, faster hiring decisions with QuantHub. Be at the forefront of recruitment innovation.
QuantHub equips you with the tools to not only fill positions but to shape the future of your team with top-tier data science talent.