Course catalog
Showing 1-20 of 264 items.
15 Mistakes to Avoid in Data Science
Save time and grow your skills faster. Learn the top mistakes that you should avoid as a data scientist.
15 Tips for Landing a Data Science Job
Get tips for landing your dream data science job. Learn how to activate your network, showcase your work, create an effective resume, and nail your interview.
A Day In The Life of a Data Scientist
Follow along with one day in the life of real data scientists working on real projects. Get on-the-job insights to help prepare you to tackle the next challenge or choose your next data science role.
Advanced and Specialized Statistics with Stata
Take a deeper dive into Stata, the popular statistics software. Explore advanced and specialized topics, from panel data modeling to interaction effects in regression models.
Advanced NLP with Python for Machine Learning
Build upon your foundational knowledge of natural language processing (NLP) by exploring more complex topics such as word2vec, doc2vec, and recurrent neural networks.
Advanced NoSQL for Data Science
Explore the fundamentals of NoSQL. Learn the differences between NoSQL and traditional relational databases, discover how to perform common data science tasks with NoSQL, and more.
Advanced Pandas
Learn the advanced functions in pandas that can help you more effectively work with your data.
Advanced Predictive Modeling: Mastering Ensembles and Metamodeling
Learn how to use ensembles and metamodeling to create more accurate predictive models.
Advanced SAS Programming for R Users, Part 1
Enhance your programming skillset by learning how to apply your understanding of R— the language of big data—in the SAS environment at an advanced level.
Advanced SAS Programming for R Users, Part 2
Learn how to apply your understanding of R—the language of big data—in the SAS environment at an advanced level.
Advanced SQL for Data Science: Time Series
Learn how to model time series data and apply advanced analysis techniques using SQL.
Advanced SQL for Data Scientists
This advanced course provides instruction for how to work with SQL databases. Learn how to work with relational databases, including how to find, extract, and prepare data.
Advanced SQL for Query Tuning and Performance Optimization
Learn how to analyze query execution plans and use data modeling strategies to boost query performance.
AI Accountability Essential Training
Learn why it's absolutely crucial for AI-related data science work to be transparent, explainable, accountable, and ethical in its design and execution.
AI The LinkedIn Way: A Conversation with Deepak Agarwal
Deepak Agarwal, the VP of artificial intelligence (AI) at LinkedIn, answer questions about AI's role at LinkedIn, careers in the field, and the future of the technology.
Amazon Web Services Machine Learning Essential Training
Learn about patterns, services, processes, and best practices for designing and implementing machine learning using Amazon Web Services.
Amazon Web Services: Data Services
Explore the data services on the Amazon cloud. Learn how to configure relational and NoSQL data storage, data warehouses, graph and ledger databases, data lakes, and more.
Analyzing Big Data with Hive
Learn how to use Hive to analyze large datasets and derive information from Hadoop. Learn how to work with tables, structures, aggregations, clauses, functions, and more.
Apache Flink: Batch Mode Data Engineering
Explore how to build batch mode data pipelines with Apache Flink, the powerful and popular stream-processing platform.
Apache Flink: Exploratory Data Analytics with SQL
Learn how to use Apache Flink relational APIs—the Table API and SQL—for batch and real-time exploratory data analytics.