Generative AI for Business Leaders
Advertising with Meta
How Google does Machine Learning
Our Courses
Sales Enablement & Analytics
Learn how to use data, tools, and technology to drive productivity and set yourself apart as sales leader.
-
Course by
-
Self Paced
-
English
Supply Chain Analytics
Master and apply the core methodologies used in supply chain analysis and modeling, including statistics, regression, optimization and probability - part of the MITx Supply Chain Management MicroMasters Credential.
-
Course by
-
English
Computing in Python IV: Objects & Algorithms
Learn about recursion, search and sort algorithms, and object-oriented programming in Python.
-
Course by
-
Self Paced
-
English
Computing in Python III: Data Structures
Learn more complex ways of handling data, including files, lists, and dictionaries for building complex programs.
-
Course by
-
Self Paced
-
English
Computing in Python II: Control Structures
Learn about control structures, one of the most powerful parts of programming. This course covers conditionals, loops, functions, and error handling, specifically in Python but with broader applicability to other languages as well.
-
Course by
-
Self Paced
-
English
IoT Programming and Big Data
Learn how to apply software solutions for different systems and Big Data needs to your IoT designs.
-
Course by
-
English
Big Data Fundamentals
Learn how big data is driving organisational change and essential analytical tools and techniques, including data mining and PageRank algorithms.
-
Course by
-
English
Applied Deep Learning Capstone Project
In this capstone project, you'll use either Keras or PyTorch to develop, train, and test a Deep Learning model. Load and preprocess data for a real problem, build the model and then validate it.
-
Course by
-
64
-
English
Digital Customer Analytics
Learn how to harness the power of Customer Lifetime Value concepts by applying them to firm value, selection of customers and loyalty programming.
-
Course by
-
10
-
English
Effecting Digital Transformation with Data Analytics Projects
Learn how to transform an organization digitally through simulations and case studies by applying the Disciplined Agile Delivery framework to work through three simulations.
-
Course by
-
Self Paced
-
13
-
English
Introduction to Transforming with Data Analytics and the Digital Organization
Learn how data analytics powers the digital organization and gives it a competitive edge.
-
Course by
-
Self Paced
-
13
-
English
People analytics and reporting
One of the most critical challenges Human Resource (HR) professionals grapple with during these unprecedented times is whether human capital solutions enable managerial decision-making and enhance the value of people’s intangible assets. This course provides participants with data-driven and evidence-based decision-making competencies required to analyse the contribution of human capital to the business.
-
Course by
-
26
-
English
Predictive Analytics: Basic Modeling Techniques
What is Predictive Analytics? These methods lie behind the most transformative technologies of the last decade, that go under the more general name Artificial Intelligence or AI. In this course, the focus is on the skills that will allow you to fit a model to data, and measure how well it performs. We will be doing enough data science so that you get hands-on familiarity with understanding a dataset, fitting a model to it, and generating predictions.
-
Course by
-
26
-
English
PyTorch and Deep Learning for Decision Makers
Learn how PyTorch, a deep learning framework, can be used to automate and optimize processes through the development and deployment of state-of-the-art AI applications. The course will also help you understand the importance of data quality, how to choose the right model, and the challenges in deploying and maintaining both deep learning and machine learning applications.
-
Course by
-
15
-
English
Data and AI Fundamentals
Learn the fundamentals of Artificial Intelligence with a combination of AI fundamentals and an overview of the rich Linux Foundation AI & Data projects ecosystem. It is well-suited for any kind of AI adopter, regardless of the professional background and level of technical knowledge.
-
Course by
-
11
-
English
Ethics in AI and Data Science
Learn how to build and incorporate ethical principles and frameworks in your AI and Data Science technology and business initiatives to add transparency, build trust, drive adoption, and lead with trust and responsibility.
-
Course by
-
18
-
English
Applied Bayesian for Analytics
Learn how to construct, fit, estimate and compute Bayesian statistical models with the help of OpenBUGS (freely available software)
-
Course by
-
Self Paced
-
6
-
English
Big Data Analytics
Learn key technologies and techniques, including R and Apache Spark, to analyse large-scale data sets to uncover valuable business information.
-
Course by
-
English
Deep Learning with Tensorflow
Much of theworld's data is unstructured. Think images, sound, and textual data. Learn how to apply Deep Learning with TensorFlow to this type of data to solve real-world problems.
-
Course by
-
English
Deep Learning with Python and PyTorch
This course is the second part of a two-part course on how to develop Deep Learning models using Pytorch.
-
Course by
-
72
-
English
Deep Learning Fundamentals with Keras
New to deep learning? Start with this course, that will not only introduce you to the field of deep learning but give you the opportunity to build your first deep learning model using thepopular Keras library.
-
Course by
-
30
-
English
Data Analytics and Visualization Capstone Project
Accelerate the knowledge you gain from previous courses in the IBM Data Analyst Professional Certificate program. Assume the role of an Associate Data Analyst and use various skills and techniques on real-world datasets to accomplish a task.
-
Course by
-
Self Paced
-
15
-
English
Data Analytics Basics for Everyone
Learn the fundamentals of Data Analytics and gain an understanding of the data ecosystem, the process and lifecycle of data analytics, career opportunities, and the different learning paths you can take to be a Data Analyst.
-
Course by
-
20
-
English
Big Data, Hadoop, and Spark Basics
This course provides foundational big data practitioner knowledge and analytical skills using popular big data tools, including Hadoop and Spark. Learn and practice your big data skills hands-on.
-
Course by
-
11
-
English
AI for Everyone: Master the Basics
Learn what Artificial Intelligence (AI) is by understanding its applications and key concepts including machine learning, deep learning and neural networks.
-
Course by
-
33
-
English