Introduction to Python for Finance
Learn to use Python for financial analysis using basic skills, including lists, data visualization, and arrays.
Follow short videos led by expert instructors and then practice what you’ve learned with interactive exercises in your browser.
Learn to use Python for financial analysis using basic skills, including lists, data visualization, and arrays.
Learn the nuts and bolts of LLMs and the revolutionary transformer architecture they are based on!
Discover how to build AI-powered applications using LLMs, prompts, chains, and agents in LangChain.
Learn to draw conclusions from limited data using Python and statistics. This course covers everything from random sampling to stratified and cluster sampling.
Explore data structures such as linked lists, stacks, queues, hash tables, and graphs; and search and sort algorithms!
Learn to combine data across multiple tables to answer more complex questions with dplyr.
Learn about the power of Databricks Lakehouse and help you scale up your data engineering and machine learning skills.
Master data modeling in Power BI.
Discover the world of Amazon Web Services (AWS) and understand why it's at the forefront of cloud computing.
Explore AI ethics focusing on principles, fairness, bias reduction, and trust in AI design.
Learn the fundamentals of neural networks and how to build deep learning models using Keras 2.0 in Python.
Gain a clear understanding of data privacy principles and how to implement privacy and security processes.
Learn to retrieve and parse information from the internet using the Python library scrapy.
Learn how to clean and prepare your data for machine learning!
Dive into the Python ecosystem, discovering modules and packages along with how to write custom functions!
Elevate your data storytelling skills and discover how to tell great stories that drive change with your audience.
Discover a wide range of DAX calculations and learn how to use them in Microsoft Power BI.
Learn to start developing deep learning models with Keras.
Enter the world of Alteryx Designer and learn how to navigate the tool to load, prepare, and aggregate data.
In this course you'll learn the basics of working with time series data.
Apply your skills to import, analyze and visualize Human Resources (HR) data using Power BI.
Enhance your reports with Power BI's Exploratory Data Analysis (EDA). Learn what EDA is for Power BI and how it can help you extract insights from your data.
This introductory course will help you hone the skills to build effective, performant, and reliable data pipelines.
Learn about the world of data engineering in this short course, covering tools and topics like ETL and cloud computing.
Learn how to implement and schedule data engineering workflows.
Learn the fundamentals of working with big data with PySpark.
Learn how to manipulate and visualize categorical data using pandas and seaborn.
Learn how to work with dates and times in Python.
Learn about modularity, documentation, and automated testing to help you solve data science problems more quickly and reliably.
In this course you will learn the basics of machine learning for classification.