Generative AI for Business Leaders
Advertising with Meta
How Google does Machine Learning
Our Courses
Fundamentals of Scalable Data Science
Apache Spark is the de-facto standard for large scale data processing. This is the first course of a series of courses towards the IBM Advanced Data Science Specialization. We strongly believe that is is crucial for success to start learning a scalable data science platform since memory and CPU constraints are to most limiting factors when it comes to building advanced machine learning models.\n\nIn this course we teach you the fundamentals of Apache Spark using python and pyspark.
-
Course by
-
Self Paced
-
22 hours
-
English
3D Data Visualization for Science Communication
This course is an introduction to 3D scientific data visualization, with an emphasis on science communication and cinematic design for appealing to broad audiences.
-
Course by
-
Self Paced
-
32 hours
-
English
Data Visualization with Tableau Project
In this project-based course, you will follow your own interests to create a portfolio worthy single-frame viz or multi-frame data story that will be shared on Tableau Public. You will use all the skills taught in this Specialization to complete this project step-by-step, with guidance from your instructors along the way. You will first create a project proposal to identify your goals for the project, including the question you wish to answer or explore with data. You will then find data that will provide the information you are seeking.
-
Course by
-
Self Paced
-
12 hours
-
English
Oral Communication for Engineering Leaders
Taught by Rice University communication faculty from the Rice Center for Engineering Leadership (RCEL). This course covers core topics in oral communication: Communication strategy, content, data visualization, and delivery.
-
Course by
-
Self Paced
-
24 hours
-
English
Data Visualization and Communication with Tableau
One of the skills that characterizes great business data analysts is the ability to communicate practical implications of quantitative analyses to any kind of audience member. Even the most sophisticated statistical analyses are not useful to a business if they do not lead to actionable advice, or if the answers to those business questions are not conveyed in a way that non-technical people can understand. In this course you will learn how to become a master at communicating business-relevant implications of data analyses.
-
Course by
-
Self Paced
-
25 hours
-
English
Engagement & Nurture Marketing Strategies
In this third course in the Social Marketing Specialization - "The Engagement & Nurture Marketing Strategies" - you will learn two of the most effective social strategies used by organizations today. You'll see real-world best practice examples and learn what metrics they use to gauge success. You will also learn the importance of infographics and the impact a well-designed landing page can have on your bottom line.
-
Course by
-
Self Paced
-
9 hours
-
English
Essential Design Principles for Tableau
In this course, you will analyze and apply essential design principles to your Tableau visualizations. This course assumes you understand the tools within Tableau and have some knowledge of the fundamental concepts of data visualization. You will define and examine the similarities and differences of exploratory and explanatory analysis as well as begin to ask the right questions about what’s needed in a visualization.
-
Course by
-
Self Paced
-
13 hours
-
English
Data Visualization
In the era of big data, acquiring the ability to analyze and visually represent “Big Data” in a compelling manner is crucial. Therefore, it is essential for data scientists to develop the skills in producing and critically interpreting digital maps, charts, and graphs. Data visualization is an increasingly important topic in our globalized and digital society. It involves graphically representing data or information, enabling decision-makers across various industries to comprehend complex concepts and processes that may otherwise be challenging to grasp.
-
Course by
-
Self Paced
-
16 hours
-
English
Introduction to Data, Signal, and Image Analysis with MATLAB
Welcome to Introduction to Data, Signal, and Image Analysis with MATLAB! MATLAB is an extremely versatile programming language for data, signal, and image analysis tasks. This course provides an introduction on how to use MATLAB for data, signal, and image analysis.
-
Course by
-
Self Paced
-
23 hours
-
English
Python Data Visualization
This if the final course in the specialization which builds upon the knowledge learned in Python Programming Essentials, Python Data Representations, and Python Data Analysis. We will learn how to install external packages for use within Python, acquire data from sources on the Web, and then we will clean, process, analyze, and visualize that data.
-
Course by
-
Self Paced
-
9 hours
-
English
Using Databases with Python
This course will introduce students to the basics of the Structured Query Language (SQL) as well as basic database design for storing data as part of a multi-step data gathering, analysis, and processing effort. The course will use SQLite3 as its database. We will also build web crawlers and multi-step data gathering and visualization processes. We will use the D3.js library to do basic data visualization. This course will cover Chapters 14-15 of the book “Python for Everybody”.
-
Course by
-
Self Paced
-
15 hours
-
English