Create personalized learning paths for your organization
The secret to closing the data skills gap isn’t about hiring new talent. The solution is already on your team. With custom tracks, you can:
- Support your data transformation programs
- Leverage our courses, projects, and assessments
- Close your team’s skill gaps
Custom track recipe cards
Follow these recommendations from our expert Learning Solutions Architects to build your data skill program. Just like when cooking, feel free to personalize these recipes based on your organization’s business and technology challenges.
SQL for Data Analysts
Use SQL to effectively analyze data and effectively answer business questions using data in databases.
From Spreadsheets to Python
You need a programming language like Python your analyses get more complex or your datasets get bigger. This track provides a gentle transition into data analysis using Python.
Regression Fundamentals for Healthcare
This track lets you begin your journey through statistics, covering descriptive statistics and correlation, before moving on to linear and logistic regression.
Inference and Experimentation in Python
Learn the sampling and hypothesis techniques to collect data and perform experiments and make data-driven improvements to your business.
Machine Learning for Finance
From working with time-series data to creating linear models, decision trees, random forests, and neural networks—this track is designed for finance professionals who would like to use machine learning to model risk and make accurate predictions.
Marketing Analytics in Python
Level-up your marketing team’s reporting skills using Python. In this track, you’ll learn how to translate common business questions into measurable outcomes and visualizations.
- Analyzing Marketing Campaigns with pandasCourse
- Manipulating Time Series Data with PythonCourse
- Generating Keywords for Google AdsProject
- Predicting CTR with Machine Learning in PythonCourse
- Comparing Search Interest with Google TrendsProject
- Data Manipulation with PythonAssessment
Retail Analytics in Python
Help your business and data analysts translate the vast amounts of customer transaction and viewing data into simple rules so you can deliver higher converting products promotion and recommendations.
- Market Basket Analysis in PythonCourse
- Supervised Learning with scikit-learnCourse
- Introduction to Natural Language Processing in PythonCourse
- Building Recommendation Engines in PythonCourse
- Book Recommendations from Charles DarwinProject
- Data Manipulation with PythonAssessment
Data Visualization for Analysts in Python
Reveal hidden patterns in your data and learn how to communicate data insights to others using Matplotlib and Seaborn.
Unsupervised Machine Learning in Python
Unsupervised machine learning lets you identify patterns and natural groupings within your data. This track takes you through important techniques such as principal component analysis, and hierarchical and k-means cluster analysis.
Introduction to Data Engineering in Python
Expand your team's Python skills so they can support your data engineering efforts.
Understanding Data in R
In this track, you'll learn the basics of data-driven decision-making and get to apply these skills using R to real-life examples from the world of finance, marketing, and operations.
Sentiment Analysis in Python
Learn how how to parse large amounts of data make sense of the sentiment expressed on various documents and social channels about your product or services.
Need advice creating your custom tracks ?
We understand that data fluency isn’t one-size-fits-all. That’s why our Learning Solutions Architects will partner with you to help you tailor learning to your organization. Whatever your goal, whether it’s improving data fluency or supporting a transition to open-source technologies, our team is here to help.
We’ll learn about your team’s learning goals.
We’ll help you map your learning journey to meet your targets.
We’ll work with you to assign and measure adoption of your tracks.
Custom track best practices
Give your track an engaging title.
We recommend including your company name in front of the title to really make it stand out. For example: DataCamp: Upgrading from Excel to SQL.
Include a clear description.
Remember to add what skill are being taught, how they will benefit you business, and who should take your custom track. This information will encourage other employees to enroll in your track.
Promote your custom tracks.
Assign your custom track, highlight it on your intranet, and celebrate employees that receive their certificate of completion.
For more recommendations and support, please contact your Customer Success Manager.
Get your team started
Simple platform management for small teams
Everything in premium*, plus:
Advanced integrations and reporting for large organizations
Everything in Teams, plus:
- Single sign-on (SSO)
- Tableau, Power BI, and Oracle content