Upcoming courses

Data engineers prepare data for operational and analytical uses. Data engineering focuses on the collection, storage, management, transformation and presentation of data to make it useful for analytics, operational uses and data science. Data engineers build pipelines for data collection and storage taking into consideration security, reliability, scalability, fault-tolerance and efficiency. Main things are to be able to collect & ingest, store & manage and process data. Data engineering is important because it lays down the foundations for data analytics and data science capabilities.

In this Build Chat Applications with OpenAI and LangChain course, discover the popular LangChain framework. You'll learn to leverage potent large language models like OpenAI's GPTs, training them on customized data for diverse applications. These include creating chatbots for support services, summarizing complex texts, and extracting key information. We’ll unravel the power of LangChain by presenting and applying each of its modules (model I/O, retrieval, chains, etc.). We’ll also introduce LangChain Expression Language, allowing for a more straightforward and intuitive implementation. Finally, all modules will come together as we solve a real-life use case—creating a 365 chatbot using LangChain’s Python library to help students with questions on specific courses.

Discover how to harness statistical analysis for data-driven decision-making. Through real-world case studies, you'll learn to apply key statistical tests like chi-squared, t-test, and Mann–Whitney U test, enhancing your skills in Python for actionable insights. This course emphasizes practical application over theory, equipping you with the knowledge to tackle sales and marketing challenges effectively and make informed decisions.