## Introduction to Python

Master the basics of data analysis with Python in just four hours. This online course will introduce the Python interface and explore popular packages.

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392 results ## Introduction to Python

## Introduction to SQL

## Introduction to R

## Intermediate Python

## Introduction to Data Science in Python

## Intermediate SQL

## Understanding Data Science

## Introduction to Power BI

## Data Manipulation with pandas

## Understanding Data Visualization

## Joining Data in SQL

## Supervised Learning with scikit-learn

## Intermediate R

## Data Analysis in Excel

## Introduction to Tableau

## Python Data Science Toolbox (Part 1)

## Introduction to Statistics in Python

## Data Manipulation in SQL

## Understanding Data Engineering

## Introduction to the Tidyverse

## Joining Data with pandas

## Understanding Machine Learning

## Introduction to Statistics

## Introduction to Data Visualization with Matplotlib

## Exploratory Data Analysis in SQL

## Introduction to Data Visualization with ggplot2

## Introduction to DAX in Power BI

## Python Data Science Toolbox (Part 2)

## Introduction to Statistics in R

## Introduction to Data Visualization with Seaborn

## Introduction to Importing Data in Python

## Data Communication Concepts

## Unsupervised Learning in Python

## Introduction to Data Literacy

## Writing Efficient Python Code

## SQL for Joining Data

## Data Manipulation with dplyr

## Data Visualization in Power BI

## Cleaning Data in Python

## Introduction to Deep Learning in Python

## Exploratory Data Analysis in Python

## Object-Oriented Programming in Python

## PostgreSQL Summary Stats and Window Functions

## Intermediate SQL Queries

## Introduction to NumPy

## Introduction to Data Engineering

## Introduction to Regression in R

## Data Analysis in Spreadsheets

## Intermediate Importing Data in Python

## Machine Learning with Tree-Based Models in Python

## Introduction to Relational Databases in SQL

## Introduction to PySpark

## Introduction to SQL Server

## Functions for Manipulating Data in PostgreSQL

## Hypothesis Testing in Python

## Writing Functions in Python

## Intermediate Spreadsheets

## Sampling in Python

## Data Science for Business

## Data-Driven Decision Making in SQL

## Introduction to Regression with statsmodels in Python

## Data Visualization in Spreadsheets

## Joining Data with dplyr

## Introduction to Git

## Analyzing Data in Tableau

## Data Preparation in Power BI

## Data Modeling in Power BI

## Introduction to Natural Language Processing in Python

## Exploratory Data Analysis in R

## Intermediate Data Visualization with Seaborn

## Introduction to Shell

## Introduction to Importing Data in R

## Web Scraping in Python

## Pivot Tables in Spreadsheets

## Understanding Cloud Computing

## Manipulating Time Series Data in Python

## Creating Dashboards in Tableau

## Working with Dates and Times in Python

## Intermediate Data Visualization with ggplot2

## Analyzing Police Activity with pandas

## Introduction to Python for Finance

## Supervised Learning in R: Classification

## Introduction to Julia

## Data-Driven Decision Making for Business

## Cluster Analysis in Python

## Hypothesis Testing in R

## Linear Classifiers in Python

## Intermediate Regression in R

## Case Study: Analyzing Customer Churn in Power BI

## Data Transformation in Power BI

## Cleaning Data in R

## Introduction to Airflow in Python

## Unit Testing for Data Science in Python

## Connecting Data in Tableau

## Machine Learning with scikit-learn

## Big Data Fundamentals with PySpark

## Introduction to Writing Functions in R

## Introduction to Statistics in Spreadsheets

## Introduction to Bash Scripting

## Extreme Gradient Boosting with XGBoost

## DAX Functions in Power BI

## Writing Efficient R Code

## Reporting with R Markdown

## Streamlined Data Ingestion with pandas

## Data Types for Data Science in Python

## Case Study: Analyzing Customer Churn in Tableau

## Statistical Thinking in Python (Part 1)

## Machine Learning for Time Series Data in Python

## Applying SQL to Real-World Problems

## Time Series Analysis in Python

## Unsupervised Learning in R

## Experimental Design in R

## Software Engineering for Data Scientists in Python

## GitHub Concepts

## Machine Learning for Business

## Image Processing in Python

## Introduction to Deep Learning with Keras

## Introduction to TensorFlow in Python

## Case Study: Analyzing Job Market Data in Power BI

## Working with Dates and Times in R

## Introduction to Spreadsheets

## Intermediate Importing Data in R

## Regular Expressions in Python

## Intermediate Data Modeling in Power BI

## Reshaping Data with tidyr

## Dealing with Missing Data in Python

## Deep Learning with PyTorch

## Sampling in R

## Preprocessing for Machine Learning in Python

## Building Web Applications with Shiny in R

## Cleaning Data with PySpark

## Analyzing Business Data in SQL

## Exploratory Data Analysis in Power BI

## Marketing Analytics for Business

## Case Study: HR Analytics in Power BI

## Model Validation in Python

## AWS Cloud Concepts

## Introduction to Databases in Python

## Intermediate SQL Server

## Machine Learning with caret in R

## Intermediate DAX in Power BI

## Case Study: Exploratory Data Analysis in R

## Reporting in SQL

## AI Fundamentals

## Introduction to R for Finance

## Reports in Power BI

## Feature Engineering for Machine Learning in Python

## Building Data Engineering Pipelines in Python

## Supervised Learning in R: Regression

## Intermediate Python for Finance

## Statistical Thinking in Python (Part 2)

## Writing Functions and Stored Procedures in SQL Server

## Reshaping Data with pandas

## Dimensionality Reduction in Python

## Analyzing Marketing Campaigns with pandas

## Importing and Managing Financial Data in Python

## Introduction to Text Analysis in R

## Introduction to Version Control with Git

## Object-Oriented Programming with S3 and R6 in R

## Introduction to Scala

## Advanced Deep Learning with Keras

## Trend Analysis in Power BI

## Data Processing in Shell

## User-Oriented Design in Power BI

## Machine Learning with Tree-Based Models in R

## Inference for Numerical Data in R

## Time Series Analysis in R

## Data Connections in Power BI

## ETL in Python

## NoSQL Concepts

## Forecasting in R

## Credit Risk Modeling in Python

## Financial Trading in Python

## Foundations of Inference

## Writing Efficient Code with pandas

## Inference for Linear Regression in R

## ARIMA Models in R

## Time Series Analysis in SQL Server

## Image Processing with Keras in Python

## Customer Analytics and A/B Testing in Python

## Interactive Data Visualization with Bokeh

## Deploying and Maintaining Assets in Power BI

## Financial Analytics in Spreadsheets

## Report Design in Power BI

## ARIMA Models in Python

## Intermediate R for Finance

## Modeling with Data in the Tidyverse

## Data Visualization in Tableau

## Introduction to Portfolio Risk Management in Python

## Introduction to Portfolio Analysis in Python

## Feature Engineering for NLP in Python

## Introduction to MongoDB in Python

## Cleaning Data in PostgreSQL Databases

## Business Process Analytics in R

## Calculations in Tableau

## Visualizing Geospatial Data in Python

## Building Dashboards with Dash and Plotly

## Creating PostgreSQL Databases

## Sentiment Analysis in Python

## Introduction to Financial Concepts in Python

## Visualizing Time Series Data in R

## Developing Python Packages

## Quantitative Risk Management in Python

## Importing and Managing Financial Data in R

## Advanced NLP with spaCy

## Financial Modeling in Spreadsheets

## Introduction to AWS Boto in Python

## Cluster Analysis in R

## Building Chatbots in Python

## Manipulating Time Series Data with xts and zoo in R

## Visualizing Geospatial Data in R

## Machine Learning with PySpark

## Case Studies in Statistical Thinking

## Functions for Manipulating Data in SQL Server

## Modeling with tidymodels in R

## Practicing Coding Interview Questions in Python

## Introduction to Network Analysis in Python

## Bayesian Data Analysis in Python

## Improving Query Performance in SQL Server

## Hyperparameter Tuning in Python

## Generalized Linear Models in R

## Visualizing Time Series Data in Python

## Web Scraping in R

## Improving Query Performance in PostgreSQL

## Marketing Analytics in Spreadsheets

## Introduction to Data Visualization with Plotly in Python

## Improving Your Data Visualizations in Python

## Customer Segmentation in Python

## Foundations of Probability in Python

## Analyzing Social Media Data in Python

## Machine Learning for Finance in Python

## String Manipulation with stringr in R

## Supply Chain Analytics in Python

## Introduction to Oracle SQL

## Hierarchical and Mixed Effects Models in R

## Visualization Best Practices in R

## Introduction to Bioconductor in R

## Communicating Data Insights

## Intermediate Regression with statsmodels in Python

## RNA-Seq with Bioconductor in R

## Building Recommendation Engines in Python

## Communicating with Data in the Tidyverse

## Statistical Techniques in Tableau

## Winning a Kaggle Competition in Python

## Inference for Categorical Data in R

## Ensemble Methods in Python

## Introduction to Spark SQL in Python

## Introduction to Linear Modeling in Python

## Foundations of Probability in R

## Introduction to Predictive Analytics in Python

## Working with Geospatial Data in Python

## Feature Engineering with PySpark

## Text Mining with Bag-of-Words in R

## Biomedical Image Analysis in Python

## Conditional Formatting in Spreadsheets

## Introduction to Portfolio Analysis in R

## Marketing Analytics: Predicting Customer Churn in Python

## Fraud Detection in Python

## Machine Learning in the Tidyverse

## Data Manipulation with data.table in R

Master the basics of data analysis with Python in just four hours. This online course will introduce the Python interface and explore popular packages.

4 hoursProgrammingHugo Bowne-Andersoncourses

Learn how to create and query relational databases using SQL in just two hours.

2 hoursData ManipulationIzzy Webercourses

Master the basics of data analysis in R, including vectors, lists, and data frames, and practice R with real data sets.

4 hoursProgrammingJonathan Cornelissencourses

Level up your data science skills by creating visualizations using Matplotlib and manipulating DataFrames with pandas.

4 hoursProgrammingHugo Bowne-Andersoncourses

Dive into data science using Python and learn how to effectively analyze and visualize your data. No coding experience or skills needed.

4 hoursProgrammingHillary Green-Lermancourses

Accompanied at every step with hands-on practice queries, this course teaches you everything you need to know to analyze data using your own SQL code today!

4 hoursData ManipulationJasmin Ludolfcourses

An introduction to data science with no coding involved.

2 hoursOtherHadrien Lacroixcourses

Master the Power BI basics and learn to use the data visualization software to build impactful reports.

3 hoursData VisualizationSara Billencourses

Learn how to import and clean data, calculate statistics, and create visualizations with pandas.

4 hoursData ManipulationRichie Cottoncourses

An introduction to data visualization with no coding involved.

2 hoursData VisualizationRichie Cottoncourses

Level up your SQL knowledge and learn to join tables together, apply relational set theory, and work with subqueries.

4 hoursData ManipulationMaham Khancourses

Grow your machine learning skills with scikit-learn in Python. Use real-world datasets in this interactive course and learn how to make powerful predictions!

4 hoursMachine LearningGeorge Boormancourses

Continue your journey to becoming an R ninja by learning about conditional statements, loops, and vector functions.

6 hoursProgrammingFilip Schouwenaarscourses

Build real-world Excel skills in just 4 hours. This course will show you time-saving shortcuts and essential functions.

4 hoursData ManipulationJen Brickercourses

Start your Tableau journey with our Introduction to Tableau course. Discover Tableau basics such as its features and dashboards.

6 hoursData VisualizationMaarten Van den Broeckcourses

Learn the art of writing your own functions in Python, as well as key concepts like scoping and error handling.

3 hoursProgrammingHugo Bowne-Andersoncourses

Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data using Python.

4 hoursProbability & StatisticsMaggie Matsuicourses

Master the complex SQL queries necessary to answer a wide variety of data science questions and prepare robust data sets for analysis in PostgreSQL.

4 hoursProgrammingMona Khalilcourses

Discover how data engineers lay the groundwork that makes data science possible. No coding involved!

2 hoursData EngineeringHadrien Lacroixcourses

Get started on the path to exploring and visualizing your own data with the tidyverse, a powerful and popular collection of data science tools within R.

4 hoursProgrammingDavid Robinsoncourses

Learn to combine data from multiple tables by joining data together using pandas.

4 hoursData ManipulationAaren Stubberfieldcourses

An introduction to machine learning with no coding involved.

2 hoursMachine LearningHadrien Lacroixcourses

Learn the fundamentals of statistics, including measures of center and spread, probability distributions, and hypothesis testing with no coding involved!

4 hoursProbability & StatisticsGeorge Boormancourses

Learn how to create, customize, and share data visualizations using Matplotlib.

4 hoursData VisualizationAriel Rokemcourses

Learn how to explore what's available in a database: the tables, relationships between them, and data stored in them.

4 hoursData ManipulationChristina Maimonecourses

Learn to produce meaningful and beautiful data visualizations with ggplot2 by understanding the grammar of graphics.

4 hoursData VisualizationRick Scavettacourses

Enhance your Power BI knowledge, by learning the fundamentals of Data Analysis Expressions (DAX) such as calculated columns, tables, and measures.

2 hoursData ManipulationJess Ahmetcourses

Continue to build your modern Data Science skills by learning about iterators and list comprehensions.

4 hoursProgrammingHugo Bowne-Andersoncourses

Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data.

4 hoursProbability & StatisticsMaggie Matsuicourses

Learn how to create informative and attractive visualizations in Python using the Seaborn library.

4 hoursData VisualizationDataCamp Content Creatorcourses

Learn to import data into Python from various sources, such as Excel, SQL, SAS and right from the web.

3 hoursImporting & Cleaning DataHugo Bowne-Andersoncourses

No one enjoys looking at spreadsheets! Bring your data to life. Improve your presentation and learn how to translate technical data into actionable insights.

3 hoursReportingHadrien Lacroixcourses

Learn how to cluster, transform, visualize, and extract insights from unlabeled datasets using scikit-learn and scipy.

4 hoursMachine LearningBenjamin Wilsoncourses

Data is all around us, which makes data literacy an essential life skill.

2 hoursData VisualizationCarl Rosseelcourses

Learn to write efficient code that executes quickly and allocates resources skillfully to avoid unnecessary overhead.

4 hoursProgrammingLogan Thomascourses

Join two or three tables together into one, combine tables using set theory, and work with subqueries in PostgreSQL.

5 hoursData ManipulationDr. Chester Ismaycourses

Delve further into the Tidyverse by learning to transform and manipulate data with dplyr.

4 hoursData ManipulationJames Chapmancourses

Power BI is a powerful data visualization tool that can be used in reports and dashboards.

3 hoursData VisualizationKevin Feaselcourses

Learn to diagnose and treat dirty data and develop the skills needed to transform your raw data into accurate insights!

4 hoursImporting & Cleaning DataAdel Nehmecourses

Learn the fundamentals of neural networks and how to build deep learning models using Keras 2.0 in Python.

4 hoursMachine LearningDan Beckercourses

Learn how to explore, visualize, and extract insights from data.

4 hoursProbability & StatisticsAllen Downeycourses

Dive in and learn how to create classes and leverage inheritance and polymorphism to reuse and optimize code.

4 hoursProgrammingAlex Yaroshcourses

Learn how to create queries for analytics and data engineering with window functions, the SQL secret weapon!

4 hoursData ManipulationFernando Gonzalez Pradacourses

Master the basics of querying tables in relational databases such as MySQL, SQL Server, and PostgreSQL.

4 hoursProgrammingNick Carchedicourses

Master your skills in Numpy by learning how to create, sort, filter, and update arrays using NYC’s tree census.

4 hoursData ManipulationIzzy Webercourses

Learn about the world of data engineering in this short course, covering tools and topics like ETL and cloud computing.

4 hoursData EngineeringVincent Vankrunkelsvencourses

Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis in R.

4 hoursProbability & StatisticsRichie Cottoncourses

Learn how to analyze data with spreadsheets using functions such as SUM(), AVERAGE(), and VLOOKUP().

3 hoursProgrammingVincent Vankrunkelsvencourses

Improve your Python data importing skills and learn to work with web and API data.

2 hoursImporting & Cleaning DataHugo Bowne-Andersoncourses

In this course, you'll learn how to use tree-based models and ensembles for regression and classification using scikit-learn.

5 hoursMachine LearningElie Kawerkcourses

Learn how to create one of the most efficient ways of storing data - relational databases!

4 hoursProgrammingTimo Grossenbachercourses

Learn to implement distributed data management and machine learning in Spark using the PySpark package.

4 hoursProgrammingNick Solomoncourses

Learn to use SQL Server to perform common data manipulation tasks and master common data manipulation tasks using this database system.

4 hoursProgrammingDataCamp Content Creatorcourses

Learn the most important PostgreSQL functions for manipulating, processing, and transforming data.

4 hoursData ManipulationBrian Piccolocourses

Learn how and when to use common hypothesis tests like t-tests, proportion tests, and chi-square tests in Python.

4 hoursProbability & StatisticsJames Chapmancourses

Learn to use best practices to write maintainable, reusable, complex functions with good documentation.

4 hoursProgrammingShayne Mielcourses

Expand your spreadsheets vocabulary by diving deeper into data types, including numeric data, logical data, and missing data.

4 hoursProgrammingRichie Cottoncourses

Learn to draw conclusions from limited data using Python and statistics. This course covers everything from random sampling to stratified and cluster sampling.

4 hoursProbability & StatisticsJames Chapmancourses

Learn about data science for managers and businesses and how to use data to strengthen your organization.

2 hoursManagementMichael Chowcourses

Learn how to analyze a SQL table and report insights to management.

4 hoursCase StudiesBart Baesenscourses

Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis with statsmodels in Python.

4 hoursProbability & StatisticsMaarten Van den Broeckcourses

Learn the fundamentals of data visualization using spreadsheets.

4 hoursData VisualizationRaina Hawleycourses

Learn to combine data across multiple tables to answer more complex questions with dplyr.

4 hoursData ManipulationDataCamp Content Creatorcourses

This course is an introduction to version control with Git for data scientists.

4 hoursProgrammingDataCamp Content Creatorcourses

Take your Tableau skills up a notch with advanced analytics and visualizations.

8 hoursData VisualizationHadrien Lacroixcourses

In this interactive Power BI course, you’ll learn how to use Power Query Editor to transform and shape your data to be ready for analysis.

3 hoursData ManipulationMaarten Van den Broeckcourses

Learn the key concepts of data modeling on Power BI.

3 hoursData ManipulationMaarten Van den Broeckcourses

Learn fundamental natural language processing techniques using Python and how to apply them to extract insights from real-world text data.

4 hoursMachine LearningKatharine Jarmulcourses

Learn how to use graphical and numerical techniques to begin uncovering the structure of your data.

4 hoursProbability & StatisticsAndrew Braycourses

Use Seaborn's sophisticated visualization tools to make beautiful, informative visualizations with ease.

4 hoursData VisualizationChris Moffittcourses

The Unix command line helps users combine existing programs in new ways, automate repetitive tasks, and run programs on clusters and clouds.

4 hoursProgrammingDataCamp Content Creatorcourses

In this course, you will learn to read CSV, XLS, and text files in R using tools like readxl and data.table.

3 hoursImporting & Cleaning DataFilip Schouwenaarscourses

Learn to retrieve and parse information from the internet using the Python library scrapy.

4 hoursImporting & Cleaning DataThomas Laetschcourses

Explore the world of Pivot Tables within Google Sheets, and learn how to quickly organize thousands of data points with just a few clicks of the mouse.

4 hoursData ManipulationFrank Sumanskicourses

A non-coding introduction to cloud computing, covering key concepts, terminology, and tools.

2 hoursManagementHadrien Lacroixcourses

In this course you'll learn the basics of working with time series data.

4 hoursData ManipulationStefan Jansencourses

Dashboards are a must-have in a data-driven world. Increase your impact on business performance with Tableau dashboards.

3 hoursData VisualizationHadrien Lacroixcourses

Learn how to work with dates and times in Python.

4 hoursProgrammingDataCamp Content Creatorcourses

Learn to use facets, coordinate systems and statistics in ggplot2 to create meaningful explanatory plots.

4 hoursData VisualizationRick Scavettacourses

Explore the Stanford Open Policing Project dataset and analyze the impact of gender on police behavior using pandas.

4 hoursData ManipulationKevin Markhamcourses

Learn to use Python for financial analysis using basic skills, including lists, data visualization, and arrays.

4 hoursApplied FinanceAdina Howecourses

In this course you will learn the basics of machine learning for classification.

4 hoursMachine LearningBrett Lantzcourses

Julia is a new programming language designed to be the ideal language for scientific computing, machine learning, and data mining.

4 hoursProgrammingJames Fultoncourses

Discover how to make better business decisions by applying practical data frameworks—no coding required.

2 hoursManagementTed Kwartlercourses

In this course, you will be introduced to unsupervised learning through techniques such as hierarchical and k-means clustering using the SciPy library.

4 hoursMachine LearningShaumik Daityaricourses

Learn how and when to use hypothesis testing in R, including t-tests, proportion tests, and chi-square tests.

4 hoursProbability & StatisticsRichie Cottoncourses

In this course you will learn the details of linear classifiers like logistic regression and SVM.

4 hoursMachine LearningMike Gelbartcourses

Learn to perform linear and logistic regression with multiple explanatory variables.

4 hoursProbability & StatisticsRichie Cottoncourses

You will investigate a dataset from a fictitious company called Databel in Power BI, and need to figure out why customers are churning.

3 hoursCase StudiesIason Prassidescourses

You’ll learn how to (un)pivot, transpose, append and join tables. Gain power with custom columns, M language, and the Advanced Editor.

3 hoursData ManipulationMaarten Van den Broeckcourses

Learn to clean data as quickly and accurately as possible to help your business move from raw data to awesome insights.

4 hoursImporting & Cleaning DataMaggie Matsuicourses

Learn how to implement and schedule data engineering workflows.

4 hoursData EngineeringMike Metzgercourses

Learn how to write unit tests for your Data Science projects in Python using pytest.

4 hoursProgrammingDibya Chakravortycourses

Learn to connect Tableau to different data sources and prepare the data for a smooth analysis.

3 hoursImporting & Cleaning DataSara Billencourses

Learn how to build and tune predictive models and evaluate how well they'll perform on unseen data.

4 hoursMachine LearningHugo Bowne-Andersoncourses

Learn the fundamentals of working with big data with PySpark.

4 hoursProgrammingUpendra Kumar Devisettycourses

Take your R skills up a notch by learning to write efficient, reusable functions.

4 hoursProgrammingRichie Cottoncourses

Learn how to leverage statistical techniques using spreadsheets to more effectively work with and extract insights from your data.

4 hoursProbability & StatisticsTed Kwartlercourses

Bash scripting allows you to build analytics pipelines in the cloud and work with data stored across multiple files.

4 hoursProgrammingAlex Scrivencourses

Learn the fundamentals of gradient boosting and build state-of-the-art machine learning models using XGBoost to solve classification and regression problems.

4 hoursMachine LearningSergey Fogelsoncourses

Data Analysis Expressions (DAX) allow you to take your Power BI skills to the next level by writing custom functions.

3 hoursData ManipulationMaarten Van den Broeckcourses

Learn to write faster R code, discover benchmarking and profiling, and unlock the secrets of parallel programming.

4 hoursProgrammingColin Gillespiecourses

R Markdown is an easy-to-use formatting language for authoring dynamic reports from R code.

4 hoursReportingAmy Petersoncourses

Learn to acquire data from common file formats and systems such as CSV files, spreadsheets, JSON, SQL databases, and APIs.

4 hoursImporting & Cleaning DataAmany Mahfouzcourses

Consolidate and extend your knowledge of Python data types such as lists, dictionaries, and tuples, leveraging them to solve Data Science problems.

4 hoursProgrammingJason Myerscourses

You will investigate a dataset from a fictitious company called Databel in Tableau, and need to figure out why customers are churning.

3 hoursCase StudiesCarl Rosseelcourses

Build the foundation you need to think statistically and to speak the language of your data.

3 hoursProbability & StatisticsJustin Boiscourses

This course focuses on feature engineering and machine learning for time series data.

4 hoursMachine LearningChris Holdgrafcourses

Find tables, store and manage new tables and views, and write maintainable SQL code to answer business questions.

4 hoursCase StudiesDmitriy Gorenshteyncourses

In this four-hour course, you’ll learn the basics of analyzing time series data in Python.

4 hoursProbability & StatisticsRob Reidercourses

This course provides an intro to clustering and dimensionality reduction in R from a machine learning perspective.

4 hoursMachine LearningHank Roarkcourses

In this course you'll learn about basic experimental design, a crucial part of any data analysis.

4 hoursProbability & StatisticsDataCamp Content Creatorcourses

Learn about modularity, documentation, and automated testing to help you solve data science problems more quickly and reliably.

4 hoursProgrammingAdam Spannbauercourses

Learn how to use GitHub's various features, navigate the interface and perform everyday collaborative tasks.

2 hoursOtherGeorge Boormancourses

Understand the fundamentals of Machine Learning and how it's applied in the business world.

2 hoursMachine LearningKarolis Urbonascourses

Learn to process, transform, and manipulate images at your will.

4 hoursMachine LearningRebeca Gonzalezcourses

Learn to start developing deep learning models with Keras.

4 hoursMachine LearningMiguel Estebancourses

Learn the fundamentals of neural networks and how to build deep learning models using TensorFlow.

4 hoursMachine LearningIsaiah Hullcourses

Help a fictional company in this interactive Power BI case study. You’ll use Power Query, DAX, and dashboards to identify the most in-demand data jobs!

3 hoursCase StudiesLuke Baroussecourses

Learn the essentials of parsing, manipulating and computing with dates and times in R.

4 hoursProgrammingCharlotte Wickhamcourses

Learn the basics of spreadsheets by working with rows, columns, addresses, and ranges.

2 hoursProgrammingVincent Vankrunkelsvencourses

Parse data in any format. Whether it's flat files, statistical software, databases, or data right from the web.

3 hoursImporting & Cleaning DataFilip Schouwenaarscourses

Learn about string manipulation and become a master at using regular expressions.

4 hoursData ManipulationMaria Eugenia Inzaugaratcourses

Master data modeling in Power BI.

3 hoursData ManipulationMaarten Van den Broeckcourses

Transform almost any dataset into a tidy format to make analysis easier.

4 hoursData ManipulationJeroen Boeyecourses

Learn how to identify, analyze, remove and impute missing data in Python.

4 hoursData ManipulationSuraj Donthicourses

Learn to create deep learning models with the PyTorch library.

4 hoursMachine LearningIsmail Elezicourses

Master sampling to get more accurate statistics with less data.

4 hoursProbability & StatisticsRichie Cottoncourses

In this course you'll learn how to get your cleaned data ready for modeling.

4 hoursMachine LearningDataCamp Content Creatorcourses

Shiny is an R package that makes it easy to build interactive web apps directly in R, allowing your team to explore your data as dashboards or visualizations.

4 hoursProgrammingkaelen medeiroscourses

Learn how to clean data with Apache Spark in Python.

4 hoursImporting & Cleaning DataMike Metzgercourses

Learn to write SQL queries to calculate key metrics that businesses use to measure performance.

4 hoursReportingMichel Semaancourses

Enhance your reports with Power BI's Exploratory Data Analysis (EDA). Learn what EDA is for Power BI and how it can help you extract insights from your data.

3 hoursProbability & StatisticsMaarten Van den Broeckcourses

Discover how Marketing Analysts use data to understand customers and drive business growth.

2 hoursManagementSarah DeAtleycourses

Apply your skills to import, analyze and visualize Human Resources (HR) data using Power BI.

3 hoursCase StudiesJess Ahmetcourses

Learn the basics of model validation, validation techniques, and begin creating validated and high performing models.

4 hoursMachine LearningKasey Jonescourses

Learn the fundamentals of cloud computing with AWS.

2 hoursData EngineeringHatim Khouzaimicourses

In this course, you'll learn the basics of relational databases and how to interact with them.

4 hoursData ManipulationJason Myerscourses

In this course, you will use T-SQL, the flavor of SQL used in Microsoft's SQL Server for data analysis.

4 hoursProgrammingGinger Grantcourses

This course teaches the big ideas in machine learning like how to build and evaluate predictive models.

4 hoursMachine LearningZachary Deane-Mayercourses

Discover a wide range of DAX calculations and learn how to use them in Microsoft Power BI.

3 hoursData ManipulationMaarten Van den Broeckcourses

Use data manipulation and visualization skills to explore the historical voting of the United Nations General Assembly.

4 hoursCase StudiesDavid Robinsoncourses

Learn how to build your own SQL reports and dashboards, plus hone your data exploration, cleaning, and validation skills.

4 hoursReportingTyler Pernescourses

Learn the fundamentals of AI. No programming experience required!

4 hoursMachine LearningNemanja Radojkovićcourses

Learn essential data structures such as lists and data frames and apply that knowledge directly to financial examples.

4 hoursApplied FinanceLore Dirickcourses

Take your Power BI visualizations up a level with the skills you already have. Learn alternative data storytelling techniques to simply building dashboards.

3 hoursData VisualizationMaarten Van den Broeckcourses

Create new features to improve the performance of your Machine Learning models.

4 hoursMachine LearningRobert O'Callaghancourses

Learn how to build and test data engineering pipelines in Python using PySpark and Apache Airflow.

4 hoursData EngineeringKai Zhangcourses

In this course you will learn how to predict future events using linear regression, generalized additive models, random forests, and xgboost.

4 hoursMachine LearningJohn Mountcourses

Build on top of your Python skills for Finance, by learning how to use datetime, if-statements, DataFrames, and more.

4 hoursApplied FinanceKennedy Behrmancourses

Learn to perform the two key tasks in statistical inference: parameter estimation and hypothesis testing.

4 hoursProbability & StatisticsJustin Boiscourses

Master SQL Server programming by learning to create, update, and execute functions and stored procedures.

4 hoursProgrammingMeghan Kwartlercourses

Reshape DataFrames from a wide to long format, stack and unstack rows and columns, and wrangle multi-index DataFrames.

4 hoursData ManipulationMaria Eugenia Inzaugaratcourses

Understand the concept of reducing dimensionality in your data, and master the techniques to do so in Python.

4 hoursMachine LearningJeroen Boeyecourses

Build up your pandas skills and answer marketing questions by merging, slicing, visualizing, and more!

4 hoursCase StudiesJill Rosokcourses

In this course, you'll learn how to import and manage financial data in Python using various tools and sources.

5 hoursApplied FinanceStefan Jansencourses

Analyze text data in R using the tidy framework.

4 hoursData ManipulationMarc Dotsoncourses

Familiarize yourself with Git for version control. Explore how to track, compare, modify, and revert files, as well as collaborate with colleagues using Git.

4 hoursProgrammingGeorge Boormancourses

Manage the complexity in your code using object-oriented programming with the S3 and R6 systems.

4 hoursProgrammingRichie Cottoncourses

Begin your journey with Scala, a popular language for scalable applications and data engineering infrastructure.

3 hoursProgrammingDavid Venturicourses

Build multiple-input and multiple-output deep learning models using Keras.

4 hoursMachine LearningZachary Deane-Mayercourses

Enhance your reports with trend analysis techniques such as time series, decomposition trees, and key influencers.

3 hoursData ManipulationMaarten Van den Broeckcourses

Learn powerful command-line skills to download, process, and transform data, including machine learning pipeline.

4 hoursData ManipulationSusan Suncourses

Learn how to design Power BI visualizations and reports with users in mind.

3 hoursData VisualizationMaarten Van den Broeckcourses

Learn how to use tree-based models and ensembles to make classification and regression predictions with tidymodels.

4 hoursMachine LearningSandro Raabecourses

In this course you'll learn techniques for performing statistical inference on numerical data.

4 hoursProbability & StatisticsMine Cetinkaya-Rundelcourses

Learn the core techniques necessary to extract meaningful insights from time series data.

4 hoursProbability & StatisticsDavid S. Mattesoncourses

Discover the different ways you can enhance your Power BI data importing skills.

2 hoursData ManipulationIason Prassidescourses

Leverage your Python and SQL knowledge to create an ETL pipeline to ingest, transform, and load data into a database.

4 hoursData EngineeringStefano Francavillacourses

In this conceptual course (no coding required), you will learn about the four major NoSQL databases and popular engines.

2 hoursData EngineeringMiriam Antonacourses

Learn how to make predictions about the future using time series forecasting in R including ARIMA models and exponential smoothing methods.

5 hoursProbability & StatisticsRob J. Hyndmancourses

Learn how to prepare credit application data, apply machine learning and business rules to reduce risk and ensure profitability.

4 hoursApplied FinanceMichael Crabtreecourses

Learn to implement custom trading strategies in Python, backtest them, and evaluate their performance!

4 hoursApplied FinanceChelsea Yangcourses

Learn how to draw conclusions about a population from a sample of data via a process known as statistical inference.

4 hoursProbability & StatisticsJo Hardincourses

Learn efficient techniques in pandas to optimize your Python code.

4 hoursProgrammingLeonidas Souliotiscourses

In this course you'll learn how to perform inference using linear models.

4 hoursProbability & StatisticsJo Hardincourses

Become an expert in fitting ARIMA (autoregressive integrated moving average) models to time series data using R.

4 hoursProbability & StatisticsDavid Stoffercourses

Explore ways to work with date and time data in SQL Server for time series analysis

5 hoursData ManipulationKevin Feaselcourses

Learn to conduct image analysis using Keras with Python by constructing, training, and evaluating convolutional neural networks.

4 hoursMachine LearningAriel Rokemcourses

Learn how to use Python to create, run, and analyze A/B tests to make proactive business decisions.

4 hoursProbability & StatisticsRyan Grossmancourses

Learn how to create interactive data visualizations, including building and connecting widgets using Bokeh!

4 hoursData VisualizationGeorge Boormancourses

Learn how to deploy and maintain assets in Power BI. You’ll get to grips with the Power BI Service interface and key elements in it like workspaces.

2 hoursManagementKevin Feaselcourses

Learn how to build a graphical dashboard with spreadsheets to track the performance of financial securities.

4 hoursApplied FinanceDavid Ardiacourses

Continue your data visualization journey where you'll learn practical techniques for incorporating DAX measures and progressive disclosure in your reports.

3 hoursData VisualizationMaarten Van den Broeckcourses

Learn about ARIMA models in Python and become an expert in time series analysis.

4 hoursMachine LearningJames Fultoncourses

Learn about how dates work in R, and explore the world of if statements, loops, and functions using financial examples.

5 hoursApplied FinanceLore Dirickcourses

Explore Linear Regression in a tidy framework.

Data visualization is one of the most desired skills for data analysts. This course allows you to present your findings better using Tableau.

6 hoursData VisualizationMaarten Van den Broeckcourses

Evaluate portfolio risk and returns, construct market-cap weighted equity portfolios and learn how to forecast and hedge market risk via scenario generation.

4 hoursApplied FinanceDakota Wixomcourses

Learn how to calculate meaningful measures of risk and performance, and how to compile an optimal portfolio for the desired risk and return trade-off.

4 hoursApplied FinanceCharlotte Wergercourses

Learn techniques to extract useful information from text and process them into a format suitable for machine learning.

4 hoursMachine LearningRounak Banikcourses

Learn to manipulate and analyze flexibly structured data with MongoDB.

4 hoursData ManipulationDonny Winstoncourses

Learn to tame your raw, messy data stored in a PostgreSQL database to extract accurate insights.

4 hoursImporting & Cleaning DataDarryl Reeves Ph.Dcourses

Learn how to analyze business processes in R and extract actionable insights from enormous sets of event data.

4 hoursProbability & StatisticsGert Janssenswillencourses

In this interactive course, you’ll learn how to use functions for your Tableau calculations and when you should use them!

6 hoursData VisualizationMaarten Van den Broeckcourses

Learn how to make attractive visualizations of geospatial data in Python using the geopandas package and folium maps.

4 hoursData VisualizationMary van Valkenburgcourses

Learn how to build interactive and insight-rich dashboards with Dash and Plotly.

4 hoursData VisualizationAlex Scrivencourses

Learn how to create a PostgreSQL database and explore the structure, data types, and how to normalize databases.

4 hoursImporting & Cleaning DataDarryl Reeves Ph.Dcourses

Are customers thrilled with your products or is your service lacking? Learn how to perform an end-to-end sentiment analysis task.

4 hoursMachine LearningVioleta Mishevacourses

Using Python and NumPy, learn the most fundamental financial concepts.

4 hoursApplied FinanceDakota Wixomcourses

Learn how to visualize time series in R, then practice with a stock-picking case study.

4 hoursData VisualizationArnaud Amsellemcourses

Learn to create your own Python packages to make your code easier to use and share with others.

4 hoursProgrammingJames Fultoncourses

Learn about risk management, value at risk and more applied to the 2008 financial crisis using Python.

4 hoursApplied FinanceJamsheed Shorishcourses

Learn how to access financial data from local files as well as from internet sources.

5 hoursApplied FinanceJoshua Ulrichcourses

Learn how to use spaCy to build advanced natural language understanding systems, using both rule-based and machine learning approaches.

5 hoursMachine LearningInes Montanicourses

Learn basic business modeling including cash flows, investments, annuities, loan amortization, and more using Sheets.

4 hoursApplied FinanceErin Buchanancourses

Learn about AWS Boto and harnessing cloud technology to optimize your data workflow.

4 hoursProgrammingMaksim Pecherskiycourses

Develop a strong intuition for how hierarchical and k-means clustering work and learn how to apply them to extract insights from your data.

4 hoursMachine LearningDmitriy Gorenshteyncourses

Learn the fundamentals of how to build conversational bots using rule-based systems as well as machine learning.

4 hoursMachine LearningAlan Nicholcourses

The xts and zoo packages make the task of managing and manipulating ordered observations fast and mistake free.

4 hoursData ManipulationDataCamp Content Creatorcourses

Learn to read, explore, and manipulate spatial data then use your skills to create informative maps using R.

4 hoursData VisualizationCharlotte Wickhamcourses

Learn how to make predictions from data with Apache Spark, using decision trees, logistic regression, linear regression, ensembles, and pipelines.

4 hoursMachine LearningAndrew Colliercourses

Take vital steps towards mastery as you apply your statistical thinking skills to real-world data sets and extract actionable insights from them.

4 hoursProbability & StatisticsJustin Boiscourses

Learn the most important functions for manipulating, processing, and transforming data in SQL Server.

4 hoursData ManipulationAna Voicucourses

Learn to streamline your machine learning workflows with tidymodels.

4 hoursMachine LearningDavid Svancercourses

Prepare for your next coding interviews in Python.

4 hoursProgrammingKirill Smirnovcourses

This course will equip you with the skills to analyze, visualize, and make sense of networks using the NetworkX library.

4 hoursProbability & StatisticsEric Macourses

Learn all about the advantages of Bayesian data analysis, and apply it to a variety of real-world use cases!

4 hoursProbability & StatisticsMichał Oleszakcourses

In this course, students will learn to write queries that are both efficient and easy to read and understand.

4 hoursProgrammingDean Smithcourses

Learn to tune hyperparameters in Python.

4 hoursMachine LearningAlex Scrivencourses

The Generalized Linear Model course expands your regression toolbox to include logistic and Poisson regression.

4 hoursProbability & StatisticsRichard Ericksoncourses

Visualize seasonality, trends and other patterns in your time series data.

4 hoursData VisualizationThomas Vincentcourses

Learn how to efficiently collect and download data from any website using R.

4 hoursImporting & Cleaning DataTimo Grossenbachercourses

Learn how to structure your PostgreSQL queries to run in a fraction of the time.

4 hoursProgrammingAmy McCartycourses

Learn how to ensure clean data entry and build dynamic dashboards to display your marketing data.

4 hoursCase StudiesLuke Pajercourses

Create interactive data visualizations in Python using Plotly.

4 hoursData VisualizationAlex Scrivencourses

Learn to construct compelling and attractive visualizations that help communicate results efficiently and effectively.

4 hoursData VisualizationNicholas Strayercourses

Learn how to segment customers in Python.

4 hoursMachine LearningKarolis Urbonascourses

Learn fundamental probability concepts like random variables, mean and variance, probability distributions, and conditional probabilities.

5 hoursProbability & StatisticsAlexander A. Ramírez M.courses

In this course, you'll learn how to collect Twitter data and analyze Twitter text, networks, and geographical origin.

4 hoursData ManipulationAlex Hannacourses

Learn to model and predict stock data values using linear models, decision trees, random forests, and neural networks.

4 hoursMachine LearningNathan Georgecourses

Learn how to pull character strings apart, put them back together and use the stringr package.

4 hoursProgrammingCharlotte Wickhamcourses

Leverage the power of Python and PuLP to optimize supply chains.

4 hoursMachine LearningAaren Stubberfieldcourses

Sharpen your skills in Oracle SQL including SQL basics, aggregating, combining, and customizing data.

4 hoursData ManipulationHadrien Lacroixcourses

In this course you will learn to fit hierarchical models with random effects.

4 hoursProbability & StatisticsRichard Ericksoncourses

Learn to effectively convey your data with an overview of common charts, alternative visualization types, and perception-driven style enhancements.

4 hoursData VisualizationNicholas Strayercourses

Learn to use essential bioconductor packages using datasets from virus, fungus, human and plants!

4 hoursOtherPaula Martinezcourses

Data-driven organizations consistently rely on insights to inspire action and drive change.

2 hoursData VisualizationJoe Franklincourses

Learn to perform linear and logistic regression with multiple explanatory variables.

4 hoursProbability & StatisticsMaarten Van den Broeckcourses

Use RNA-Seq differential expression analysis to identify genes likely to be important for different diseases or conditions.

4 hoursOtherMary Pipercourses

Learn to build recommendation engines in Python using machine learning techniques.

4 hoursMachine LearningRobert O'Callaghancourses

Leverage the power of tidyverse tools to create publication-quality graphics and custom-styled reports that communicate your results.

4 hoursData VisualizationTimo Grossenbachercourses

Take your reporting skills to the next level with Tableau’s built-in statistical functions.

4 hoursData VisualizationMaarten Van den Broeckcourses

Learn how to approach and win competitions on Kaggle.

4 hoursMachine LearningYauhen Babakhincourses

In this course you'll learn how to leverage statistical techniques for working with categorical data.

4 hoursProbability & StatisticsAndrew Braycourses

Learn how to build advanced and effective machine learning models in Python using ensemble techniques such as bagging, boosting, and stacking.

4 hoursMachine LearningRomán de las Herascourses

Learn how to manipulate data and create machine learning feature sets in Spark using SQL in Python.

4 hoursData ManipulationMark Plutowskicourses

Explore the concepts and applications of linear models with python and build models to describe, predict, and extract insight from data patterns.

4 hoursProbability & StatisticsJason Vestutocourses

In this course, you'll learn about the concepts of random variables, distributions, and conditioning.

4 hoursProbability & StatisticsDavid Robinsoncourses

In this course you'll learn to use and present logistic regression models for making predictions.

4 hoursMachine LearningNele Verbiestcourses

This course will show you how to integrate spatial data into your Python Data Science workflow.

4 hoursData ManipulationJoris Van den Bosschecourses

Learn the gritty details that data scientists are spending 70-80% of their time on; data wrangling and feature engineering.

4 hoursData ManipulationJohn Hoguecourses

Learn the bag of words technique for text mining with R.

4 hoursMachine LearningTed Kwartlercourses

Learn the fundamentals of exploring, manipulating, and measuring biomedical image data.

4 hoursData ManipulationStephen Baileycourses

Learn how to use conditional formatting with your data through built-in options and by creating custom formulas.

4 hoursData ManipulationAdam Steinfurthcourses

Apply your finance and R skills to backtest, analyze, and optimize financial portfolios.

5 hoursApplied FinanceKris Boudtcourses

Learn how to use Python to analyze customer churn and build a model to predict it.

4 hoursCase StudiesMark Petersoncourses

Learn how to detect fraud using Python.

4 hoursMachine LearningCharlotte Wergercourses

Leverage the tools in the tidyverse to generate, explore and evaluate machine learning models.

5 hoursMachine LearningDmitriy Gorenshteyncourses

Master core concepts about data manipulation such as filtering, selecting and calculating groupwise statistics using data.table.

4 hoursData ManipulationMatt Dowlecourses