This course will show you how to integrate spatial data into your Python Data Science workflow. A good proportion of the data out there in the real world is inherently spatial. From the...

In this course you'll learn how to use data science for several common marketing tasks. This is your chance to dive into the worlds of marketing and business analytics using R. Day by day, there...

Get ready to categorize! In this course, you will work with non-numerical data, such as job titles or survey responses, using the Tidyverse landscape. As a data scientist, you will often...

Learn how to manipulate data and create machine learning feature sets in Spark using SQL in Python. If you’re familiar with SQL and have heard great things about Apache Spark, this course is...

Learn how to make attractive visualizations of geospatial data in Python using the geopandas package and folium maps. One of the most important tasks of a data scientist is to understand...

Learn how to run big data analysis using Spark and the sparklyr package in R, and explore Spark MLIb in just 4 hours. R is mostly optimized to help you write data analysis code quickly...

Explore ways to work with date and time data in SQL Server for time series analysis SQL Server has a robust set of tools to prepare, aggregate, and query time series data. This course will show...

This course focuses on feature engineering and machine learning for time series data. Time series data is ubiquitous. Whether it be stock market fluctuations, sensor data recording climate...

Learn the bag of words technique for text mining with R. It is estimated that over 70% of potentially usable business information is unstructured, often in the form of text data. Text...

What you will learn Data is all around us. Everything from the fitness tracker on your wrist to researchers at your local university are creating mountains of data — big data. What does all...

Learn how to use the Python scientific stack to complete data science tasks. Find out how to work with pandas for data crunching, NumPy for numeric computation, and more. Data science...

Learn the most important language for data science. A quick introduction to Python syntax, variable assignment, and numbers Calling functions and defining our own, and using Python's...

Learn the fundamentals of working with big data with PySpark. There's been a lot of buzz about Big Data over the past few years, and it's finally become mainstream for many companies. But what...

Data Analysis has been around for a long time. But up until a few years ago, developers practiced it using expensive, closed-source tools like Tableau. But recently, Python, SQL, and other...

Die Schlagwörter Künstliche Intelligenz, Data Science, Data Engineering, und Big Data dominieren seit einigen Jahren nicht nur die IT-Schlagzeilen. In unserem Kurs wollen wir diese Wörter...

Are you ready to learn the skills that are in high demand across all industries? Machine Learning and data science are essential for making informed decisions in today's business world. And the...

RapidMiner is a widely-used data science and machine learning platform. This course will teach you the basics of using RapidMiner, including basic setup, data visualization and preparation...

Data science job interviews can be daunting. Technical interviewers often ask you to design an experiment or model. You may need to solve problems using Python and SQL. You will likely need to...

Data is being called the new oil, as you can generate so much value from it. However, if it's not properly secured, compliant and used ethically, it can quickly go from asset to liability. In...

Learn how to calculate and interpret several descriptive statistics using the Python library NumPy. ### Why Learn Statistics? Statistics is a tool used to communicate our understanding of data....