Python is a general-purpose programming language that is becoming ever more popular for data science. Companies worldwide are using Python to harvest insights from their data and gain a competitive edge. Unlike other Python tutorials, this course focuses on Python specifically for data science. In our Introduction to Python course, you’ll learn about powerful ways to store and manipulate data, and helpful data science tools to begin conducting your own analyses. Start DataCamp’s online Python curriculum now.

Master the basics of data analysis in Python. Expand your skillset by learning scientific computing with NumPy.

Discover how to use Python for data science, learning about the ways to store and manipulate data in the environment to begin conducting your own analyses.

Introduction to Python

Spreadsheet software is one of the most popular and powerful tools in data analysis. Millions of people use tools like Google Sheets or Microsoft Excel on a daily basis. Even the most experienced data scientists often started their careers with spreadsheets and still use it to test assumptions or to look at data for the first time. In this course, you will learn the basics of spreadsheets by working with rows, columns, addresses, and ranges. You will create your own formulas and learn how to use references.

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

Discover the basics of spreadsheets by working with rows, columns, addresses, and ranges, then create your own formulas and learn how to use references.

Introduction to Spreadsheets

What is data science and how can you use it to strengthen your organization? This course will teach you about the skills you need on your data team, and how you can structure that team to meet your organization's needs. Data is everywhere! This course will provide you with an understanding of data sources your company can use and how to store that data. You'll also discover ways to analyze and visualize your data through dashboards and A/B tests. To wrap up the course, we'll discuss exciting topics in machine learning, including clustering, time series prediction, natural language processing (NLP), deep learning, and explainable AI! Along the way, you'll learn about a variety of real-world applications of data science and gain a better understanding of these concepts through practical exercises.

Learn about data science and how can you use it to strengthen your organization. 

Data Science for Business

Working with large quantities of data in spreadsheets can be difficult and time-consuming. Have you ever wished there was a quick and efficient way to organize and evaluate your data within seconds? Pivot Tables are your answer! In this course we will explore the world of Pivot Tables within Google Sheets, and learn how to quickly organize thousands of datapoints with just a few clicks of the mouse. We will analyze the Average rainfall across multiple US cities, the Top 10 of the Fortune Global 500, and a selection of Films released between 2010 and 2016. You will learn techniques such as sorting, subtotaling, and filtering your data using these real world examples. By the end of the course, you will be able to create your own custom pivot tables with datasets of any size!

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.

Pivot Tables in Spreadsheets

In this introduction to R course, you'll master the basics of this widely used open source language&mdash;including vectors, factors, lists, and data frames. With the coding skills you'll gain in this course, you'll be ready to undertake your own data analysis in R. There are millions of R users worldwide, cementing it as a leading programming language in statistics and data science. More and more organizations are using R, so begin your coding journey in one of DataCamp's most popular courses today!

Master the basics of data analysis by manipulating common data structures such as vectors, matrices, and data frames.

DataCamp's Into to R training course teaches you how to use R programming for data science at your own pace with video tutorials & interactive challenges.

Introduction to R Online

Introduction to R

Learning Python is crucial for any aspiring data science practitioner. Learn to visualize real data with Matplotlib's functions and get acquainted with data structures such as the dictionary and the pandas DataFrame. After covering key concepts such as boolean logic, control flow, and loops in Python, you'll be ready to blend together everything you've learned to solve a case study using hacker statistics.

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

In this intermediate Python course, learn to visualize real data with Matplotlib's functions and get to know new data structures such as the pandas DataFrame.

Intermediate Python

A picture can tell a thousand words - but only if you use the right picture! This course teaches you the fundamentals of data visualization with Google Sheets. You'll learn how to create common chart types like bar charts, histograms, and scatter charts, as well as more advanced types, such as sparkline and candlestick charts. You will look at how to prepare your data and use Data Validation and VLookup formulas to target specific data to chart. You'll learn how to use Conditional Formatting to apply a format to a cell or a range of cells based on certain criteria, and finally, how to create a dashboard showing plots and data together. Along the way, you'll use data from the Olympics, sharks attacks, and Marine Technology from the ASX.

Learn the fundamentals of data visualization using spreadsheets. 

Learn how to create different chart types, from bar charts, histograms, and scatter charts, to advanced sparkline and candlestick charts in Google Sheets.

Data Visualization in Spreadsheets

Statistics is the science that deals with the collection, analysis, and interpretation of data. Having a solid foundation in statistics will help you effectively work with your data to test hypotheses and uncover insights that can help solve your problems. This course is designed to give you that foundation in statistics. Using Spreadsheets functions, you'll dive into averages, distributions, hypothesis testing, and conclude the course by applying your newfound knowledge in a case study. Along the way, you'll work with a variety of datasets ranging from eBay auctions to train ridership to historical presidential approval ratings. Enjoy!

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

Introduction to Statistics in Spreadsheets

So what is all this AI fuss about? Machine Learning, Deep Learning, Predictive Analytics -- what is the reality behind the hype? How do machines actually learn and what are their limits? How can we use Machine Learning to recognize written digits, predict customer churn and find structure in Elon Musk's tweets? All this -- and much more -- is the topic of this course, which will introduce you to the world of AI in a gentle, but firm and very practical manner.

Learn the fundamentals of AI. No programming experience required!

Learn to work with labeled data, train regression models, divide data into clusters, detect anomalies, select the right model, and create neural networks.

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