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Understanding Data Science
Introduction to Python
Introduction to R
Introduction to SQL
Introduction to Tableau
Introduction to Power BI
Introduction to Data Engineering
Introduction to Data Visualization with ggplot2
Introduction to PySpark
Introduction to Statistics in Speadsheets
Data-Driven Decision Making for Business
Introduction to SQL Server
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Python Data Science Toolbox (Part 1)
Reporting in SQL
Data Manipulation with pandas
Data-Driven Decision Making in SQL
Introduction to Statistics in Python
Introduction to Statistics in R
Statistical Techniques in Tableau
Supervised Learning with scikit-learn
Python Data Science Toolbox (Part 2)
Introduction to Natural Language Processing in R
Intermediate Data Modeling in Power BI
Cleaning Data in Python
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Modeling with tidymodels in R
Analyzing Survey Data in R
Hyperparameter Tuning in Python
Building Recommendation Engines in Python
Developing Python Packages
Feature Engineering with PySpark
Machine Learning with Tree-Based Models in Python
Machine Learning with Tree-Based Models in R
Intermediate Regression in R
Advanced Deep Learning with Keras
Object-Oriented Programming in Python
Machine Learning with caret in R
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Understanding Data Engineering
Database Design
AWS Cloud Concepts
Building Data Engineering Pipelines in Python
ETL in Python
Introduction to Airflow in Python
Introduction to Data Engineering
NoSQL Concepts
Streaming Concepts
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Data Analysis in Excel
Exploratory Data Analysis in Power BI
Data Analysis in Spreadsheets
Exploratory Data Analysis in Python
Exploratory Data Analysis in SQL
Exploratory Data Analysis in R
Bayesian Data Analysis in Python
Fundamentals of Data Analysis in R
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Introduction to Data Science in Python
Introduction to Python
Introduction to R
Introduction to SQL
Introduction to SQL Server
Intermediate Python
Intermediate R
Intermediate SQL
Python Data Science Toolbox (Part 1)
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Introduction to Importing Data in Python
Introduction to Importing Data in R
Cleaning Data in Python
Cleaning Data in R
Intermediate Importing Data in Python
Web Scraping in Python
Streamlined Data Ingestion with pandas
Connecting Data in Tableau
Cleaning Data with PySpark
Data Preparation in Power BI
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Joining Data in SQL
Data Manipulation with pandas
Data Transformation in Power BI
Intermediate DAX in Power BI
Data Analysis in Excel
Joining Data with pandas
Data Manipulation with dplyr
Exploratory Data Analysis in SQL
PostgreSQL Summary Stats and Window Functions
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Statistical Thinking in Python (Part 1)
Statistical Thinking in Python (Part 2)
Exploratory Data Analysis in Python
Introduction to Statistics in R
Introduction to Regression in R
Correlation and Regression in R
Exploratory Data Analysis in R
Introduction to Statistics in Spreadsheets
Time Series Analysis in Python
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Understanding Machine Learning
Unsupervised Learning in Python
Introduction to Deep Learning in Python
Cluster Analysis in Python
Machine Learning with Tree-Based Models in Python
Introduction to Natural Language Processing in Python
Supervised Learning in R: Classification
AI Fundamentals
Machine Learning for Business
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Data Visualization for Everyone
Introduction to Power BI
Introduction to Tableau
Data Visualization in R
Data Visualization in Spreadsheets
Introduction to Data Visualization with Seaborn
Intermediate Data Visualization with Seaborn
Creating Dashboards in Tableau
Data Visualization in Power BI
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Introduction to Python for Finance
Introduction to R for Finance
Introduction to Portfolio Risk Management in Python
Financial Trading in Python
Financial Modeling in Spreadsheets
Quantitative Risk Management in Python
Credit Risk Modeling in Python
Financial Analytics in Spreadsheets
Importing and Managing Financial Data in Python
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Reporting with R Markdown
Analyzing Business Data in SQL
Data Communication Concepts
Reporting in SQL
Building Dashboards with shinydashboard
Case Studies: Building Web Applications with Shiny in R
Building Dashboards with flexdashboard
Report Design in Power BI
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Tracks
Data Literacy
Python Fundamentals
Python Programming
R Programming
Data Manipulation with R
Data Manipulation with Python
Power BI Fundamentals
Machine Learning Fundamentals with Python
SQL Fundamentals
Marketing Analytics
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Data Analyst with R
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Data Scientist with R
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Python Programmer
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Data Engineer with Python
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Machine Learning Scientist with Python
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Python
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Introduction to Python
Introduction to Data Science in Python
Intermediate Python
Python Data Science Toolbox (Part 1)
Writing Efficient Python Code
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Python Fundamentals
Python Toolbox
Python Programmer
Importing & Cleaning Data with Python
Machine Learning Fundamentals with Python
R
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Introduction to R
Introduction to the Tidyverse
Intermediate R
Data Manipulation with dplyr
Introduction to Data Visualization with ggplot2
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R Programming
Importing & Cleaning Data with R
Tidyverse Fundamentals with R
Shiny Fundamentals
Data Visualization with R
SQL
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Introduction to SQL
Introduction to SQL Server
Joining Data in SQL
Intermediate SQL
Introduction to Relational Databases in SQL
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SQL Fundamentals
SQL Server Fundamentals
SQL for Business Analysts
SQL for Database Administrators
SQL Server for Database Administrators
PowerBI
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Introduction to Power BI
DAX Functions in Power BI
Data Modelling in Power BI
Exploratory Data Analysis in Power BI
Reports in Power BI
Tableau
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Introduction to Tableau
Tableau Fundamentals
Analyzing Data in Tableau
Creating Dashboards in Tableau
Connecting Data in Tableau
Statistical Techniques in Tableau
Shell
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Introduction to Shell
Introduction to Bash Scripting
Data Processing in Shell
Excel & Spreadsheets
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Introduction to Spreadsheets
Data Analysis in Excel
Data Analysis in Spreadsheets
Intermediate Spreadsheets
Pivot Tables in Spreadsheets
Data Visualization in Spreadsheets
Introduction to Python
Introduction to R
Introduction to SQL
Deep Learning in Python
Understanding Data Science
Data-Driven Decision Making for Business
Introduction to Statistics in Spreadsheets
Introduction to Data Engineering
Introduction to Tableau
Creating Dashboards in Tableau
Data Literacy Fundamentals
Python Fundamentals
R Programming
Python Programming
SQL Fundamentals
Tableau Fundamentals
How to Become a Data Scientist
How to Make Time for Learning
The 9 Most In-Demand Skills in the Data Industry
What Exactly is Data?
What is A/B Testing?
Quantitative vs. Qualitative Data
An Overview of Descriptive Statistics
Python
R
SQL
Power BI
Tableau
Shell
Git
Scala
Understanding Data Science
Data Science for Business
Data Scientist with R
Data Scientist with Python
Data Analyst with R
Data Analyst with Python
Data Analyst with SQL Server
Data Analysis in Excel
Data Analysis in Spreadsheets
Understanding Data Engineering
Introduction to Data Engineering
Data Engineer with Python
Database Design
AWS Cloud Concepts
NoSQL Concepts
Understanding Machine Learning
Machine Learning Scientist with Python
Introduction to Deep Learning in Python
AI Fundamentals
Machine Learning for Business
Writing Efficient Python Code
Python Data Science Toolbox (Part 1)
Joining Data in SQL
Data Manipulation with pandas
Data Analysis in Excel
Cleaning Data with PySpark
Creating Chatbots in Python
Data-Driven Decision Making in SQL
Improving Your Data Visualizations in Python
Reporting in SQL
R Programming
Python Programming
Data Visualization with Python
Spreadsheet Fundamentals
Data Skills for Business
Python Seaborn Cheat Sheet
Pandas Cheat Sheet: Data Wrangling in Python
Importing Data in Python Cheat Sheet
Data Visualization Cheat Sheet
PySpark Cheat Sheet: Spark in Python
Jupyter Notebook Cheat Sheet
Data Science Cheat Sheet for Business Leaders
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Understanding Data Science
Understanding Data Engineering
Understanding Machine Learning
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Understanding Cloud Computing
Introduction to Portfolio Risk Management in Python
Introduction to Python for Finance
Financial Analytics in Spreadsheets
Marketing Analytics for Business
Machine Learning for Business
Python Programmer
R Programmer
Data Scientist with R
Data Scientist with Python
Data Analyst with R
Data Analyst with Python
Data Engineer with Python
Statistician with R
Machine Learning Scientist with Python
DataFramed: Launching a Data Career in 2022
The Top 15 Data Scientist Skills
How to Become a Data Engineer
How to Become a Machine Learning Engineer
How to Become a Data Architect
Find a data job
Understanding Data Science
Data Science for Business
Introduction to Data Science in Python
Data Manipulation with pandas
Data Types for Data Science in Python
Data Scientist with R
Data Scientist with Python
Data Analysis in Excel
Data Analysis in Spreadsheets
Exploratory Data Analysis in Python
Exploratory Data Analysis in SQL
Exploratory Data Analysis in R
Data Analyst with R
Data Analyst with Python
Data Analyst with SQL Server
Understanding Data Engineering
Introduction to Data Engineering
Database Design
AWS Cloud Concepts
NoSQL Concepts
Data Engineer with Python
Understanding Machine Learning
Introduction to Deep Learning in Python
AI Fundamentals
Machine Learning for Business
Machine Learning with Tree-Based Models in Python
Machine Learning Scientist with Python
Machine Learning Scientist with R
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Templates
Create a Word Cloud
Visualize a Heatmap
Calculate Percent Changes, Lags, and Shifts on Time Series
Find and Visualize Clusters with K-Means
Analyze Multiple Time Series
Network Analysis
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Documentation
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How Data is Used in Soccer Analytics
Live Training: Exploring World Cup Data in Power BI
Live Training: Exploring World Cup Data in Python
DataCamp: Q4 2022 Roadmap
Avoiding Pitfalls in Data Democratization
Live Training: Exploring Astronaut Activities in SQL
Why Get DataCamp Certified: A Deep Dive into DataCamp Certifications
Live Training: Julia for Absolute Beginners
Introducing DataCamp’s Julia Curriculum
Going from Excel to Tableau with DataCamp
Upcoming Events
Blog
17 Top MLOps Tools You Need to Know
Top Machine Learning Use-Cases and Algorithms
The 23 Top Python Interview Questions & Answers
DataCamp Donates Digest Q3 2022
Sports Analytics: How Different Sports Use Data Analytics
How Chelsea FC Uses Analytics to Drive Matchday Success
Acing the DataCamp Certification Practical Exam
How Data Science is Changing Soccer
Predicting FIFA World Cup Qatar 2022 Winners
What is Data Maturity and Why Does it Matter?
Podcast
Inside the Generative AI Revolution
How Chelsea FC Uses Analytics to Drive Matchday Success
Successful Frameworks for Scaling Data Maturity
Data Journalism in the Age of COVID-19
The Rise of the Julia Programming Language
Behind the Scenes of Transamerica’s Data Transformation
How Data Leaders Can Build an Effective Talent Strategy
The Hallmarks of Successful Data Training Programs
The Deep Learning Revolution in Space Science
How CBRE is Increasing Data Literacy for Over 3,000 Employees
Cheat Sheets
Unsupervised Machine Learning Cheat Sheet
Supervised Machine Learning Cheat Sheet
Getting started with Python cheat sheet
Plotly Express Cheat Sheet
Julia Basics Cheat Sheet
Working with Dates and Times in Python Cheat Sheet
ggplot2 Cheat Sheet
SQL Window Functions Cheat Sheet
Regular Expressions Cheat Sheet
Python For Data Science Cheat Sheet For Beginners
Tutorials
Working with Geospatial Data: A Guide to Analysis in Power BI
Understanding Text Classification in Python
A Complete Guide to Data Augmentation
How to Write a Bash Script: A Simple Bash Scripting Tutorial
How to Make a Gantt Chart in Python with Matplotlib
Python pandas tutorial: The ultimate guide for beginners
How to Create a Dashboard in Excel in 3 Easy Steps
Creating Stories in Tableau
Python Iterators and Generators Tutorial
Julia Programming Tutorial For Beginners
White Papers
How to Win the Competition for Data Professionals in 2022
5 Best Practices for Building Data Science Skills Academies
2022 Data Trends and Predictions
8 Rules for Better Data Storytelling
Becoming a Data-driven Marketer
Insights from Data Leaders
Data Literacy for Responsible AI
Your Organization's Guide to Data Maturity
Our Guide to Open Source in Data Science
Data Trends and Predictions 2021: The Year of Data Fluency
Case Studies
Case Study: Just IT Accelerates its Learning Program with DataCamp
Case Study: How Allianz Upskilled 6,000+ Employees with DataCamp
Case Study: Rolls-Royce 100x'ed the Speed of Engineering Processes
Case Study: AutoDesk Keeps Team's Python & SQL Skills Up-to-Date
Case Study: DataBird Address France’s Demand for Data Professionals
Case Study: LumiraDx Grows Python Skills with Custom Tracks
Case Study: Essex County Council Upskills Staff in Data Analytics
Case Study: Omdena's Engineers Use Data to Solve Real-world Problems
Case Study: UCD Bridges Ireland's Analytics Skill Gap with DataCamp
Case Study: Higher-Education Institutions Upskill on Python and R
E-Books
The Definitive Guide to Machine Learning for Business Leaders
Pricing
For Business
What is Python Used For?
Top 15 Data Scientist Skills
10 Signs of Bad Data
The Importance of Data
8 ML Models in 20 Mins
Data Literacy Podcast
What is A/B Testing?
Data Science in Marketing
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