Big Data (55)
Statistics Fundamentals - Part 3: Advanced
Complete your mastery of statistics. Get an advanced understanding of concepts such as t-distribution, degrees of freedom, chi-square testing, regression testing, and ANOVA.
Developing Microsoft SQL Server 2016 Databases
Learn how to develop a SQL Server 2016 database with more advanced features, like temporary tables, stored procedures, indexes, and secure user accounts.
Descriptive Healthcare Analytics in R
Learn how to conduct a descriptive analysis of healthcare datasets using R by analyzing the Behavioral Risk Factor Surveillance System (BRFSS), a public health surveillance survey. This course teaches you to independently design, develop, and execute a full BRFSS analysis.
Delivering in Data Science Sprints
Deliver valuable data science insights every two weeks. Learn how to work within the data science life cycle (DSLC) and break down your work with tools such as question boards.
Creating Interactive Dashboards in Tableau 10
Explore and analyze your data using interactive dashboards in Tableau 10.
SQL Tips and Tricks for Data Science
Get Ben Sullins's 12 must-have SQL techniques for data science pros—engineers, DevOps, data miners, programmers, and other systems specialists.
Data Visualization Tips and Tricks
Do data viz the right way, every time. Get data visualization tips and tricks for choosing the right visualization, charting relationships, visualizing data distributions, creating maps, and more.
Understanding Data Science
Get an introduction to data science designed for people who aren't planning on being full-time data scientists. Learn the basics of gathering and analyzing big data.
Building Your Data Science Team
Learn to hire, foster, and manage data science teams that produce deeper insights and more effective reports and visualizations.
Oracle 12c Database Administration Fundamentals
Oracle 12c is the leading relational database management system. Learn the fundamentals for installation, configuration, and administration of an Oracle database.
Open Data: Unleashing Hidden Value
Unleash the power of open data. Learn how to implement an open data program at your organization and use open data for transparency efforts, innovation, data analysis, and reporting.
D3.js Essential Training for Data Scientists
Build beautiful and interactive data visualizations with D3. Learn to create tree diagrams, stack charts, spatial maps, and more, all with a web browser, a few lines of code, and the D3.js library.
Pandas for Data Science
Get an introduction to Pandas, the Python library for data analysis and data science. Master its tools for time series and learn how the data frame and panels tools work.
Data Science Tips with Nate Makdad
Get tips and short practical techniques on topics such as infographic design, forecasting, and t-testing.
Julia for Data Scientists First Look
Get a first look at Julia, the powerful and fast programming language for data science and analytics.