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Our Courses
Unsupervised Text Classification for Marketing Analytics
Marketing data is often so big that humans cannot read or analyze a representative sample of it to understand what insights might lie within. In this course, learners use unsupervised deep learning to train algorithms to extract topics and insights from text data. Learners walk through a conceptual overview of unsupervised machine learning and dive into real-world datasets through instructor-led tutorials in Python. The course concludes with a major project. This course uses Jupyter Notebooks and the coding environment Google Colab, a browser-based Jupyter notebook environment.
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Course by
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Self Paced
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13 hours
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English
NoSQL, Big Data, and Spark Foundations
Big Data Engineers and professionals with NoSQL skills are highly sought after in the data management industry. This Specialization is designed for those seeking to develop fundamental skills for working with Big Data, Apache Spark, and NoSQL databases.
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Course by
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Self Paced
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English
Data Wrangling with Python
This specialization covers various essential topics such as fundamental tools, data collection, data understanding, and data preprocessing. This specialization is designed for beginners, with a focus on practical exercises and case studies to reinforce learning. By mastering the skills and techniques covered in these courses, students will be better equipped to handle the challenges of real-world data analysis. The final project will give students an opportunity to apply what they have learned and demonstrate their mastery of the subject.
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English
DeepLearning.AI TensorFlow Developer
TensorFlow is one of the most in-demand and popular open-source deep learning frameworks available today. The DeepLearning.AI TensorFlow Developer Professional Certificate program teaches you applied machine learning skills with TensorFlow so you can build and train powerful models. In this hands-on, four-course Professional Certificate program, you’ll learn the necessary tools to build scalable AI-powered applications with TensorFlow. After finishing this program, you’ll be able to apply your new TensorFlow skills to a wide range of problems and projects.
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Course by
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Self Paced
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English
Data Analysis and Visualization with Power BI
This course forms part of the Microsoft Power BI Analyst Professional Certificate. This Professional Certificate consists of a series of courses that offers a good starting point for a career in data analysis using Microsoft Power BI. In this course, you will learn report design and formatting in Power BI, which offers extraordinary visuals for building reports and dashboards. Additionally, you will learn how to use report navigation to tell a compelling, data-driven story in Power BI.
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Course by
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Self Paced
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30 hours
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English
Prediction and Control with Function Approximation
In this course, you will learn how to solve problems with large, high-dimensional, and potentially infinite state spaces. You will see that estimating value functions can be cast as a supervised learning problem---function approximation---allowing you to build agents that carefully balance generalization and discrimination in order to maximize reward. We will begin this journey by investigating how our policy evaluation or prediction methods like Monte Carlo and TD can be extended to the function approximation setting.
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Course by
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22 hours
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English
Excel to MySQL: Analytic Techniques for Business
Formulate data questions, explore and visualize large datasets, and inform strategic decisions. In this Specialization, you’ll learn to frame business challenges as data questions. You’ll use powerful tools and methods such as Excel, Tableau, and MySQL to analyze data, create forecasts and models, design visualizations, and communicate your insights.
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Course by
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Self Paced
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English
Analytics for Decision Making
The field of analytics is typically built on four pillars: Descriptive Analytics, Predictive Analytics, Causal Analytics, and Prescriptive Analytics. Descriptive analytics (e.g., visualization, BI) deal with the exploration of data for patterns, predictive analytics (e.g., data mining, time-series forecasting) identifies what can happen next, causal modeling establishes causation, and prescriptive analytics help with formulating decisions. This specialization focuses on the Prescriptive Analytics (the final pillar).
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Course by
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English
AI for Medicine
AI is transforming the practice of medicine. It’s helping doctors diagnose patients more accurately, make predictions about patients’ future health, and recommend better treatments. This three-course Specialization will give you practical experience in applying machine learning to concrete problems in medicine. These courses go beyond the foundations of deep learning to teach you the nuances in applying AI to medical use cases. If you are new to deep learning or want to get a deeper foundation of how neural networks work, we recommend taking the Deep Learning Specialization.
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Course by
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Self Paced
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English
Mathematics for Machine Learning
For a lot of higher level courses in Machine Learning and Data Science, you find you need to freshen up on the basics in mathematics - stuff you may have studied before in school or university, but which was taught in another context, or not very intuitively, such that you struggle to relate it to how it’s used in Computer Science.
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Course by
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Self Paced
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English
Creating an Interactive KPI Management Dashboard in Tableau
In less than one hour, you will learn how to connect to data, create key performance indicators, create sparkline charts, create a dashboard map, create dual axis charts and put it all together in a well-formatted and interactive dashboard.
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Course by
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Self Paced
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4 hours
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English
Machine Learning for Kyphosis Disease Classification
The objective of this project is to predict whether a patient has kyphosis or not, based on given features and diagnostic measurements such as age and number of vertebrae. Kyphosis is an abnormally excessive convex curvature of the spine. This guided project is practical and directly applicable to the healthcare industry. You can add this project to your portfolio of projects which is essential for your next job interview.
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Course by
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Self Paced
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3 hours
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English
Implementing RPA with Cognitive Automation and Analytics
The explosive growth of Robotic Process Automation (RPA) in the past few years has created a tremendous demand to learn and become skilled in this exciting technology. This four course Specialization is designed to introduce RPA, provide a foundation of the RPA lifecycle--from design to bot deployment--and implement RPA with cognitive automation and analytics. Experienced and novice users and developers of RPA will all benefit from completing this Specialization.
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Course by
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Self Paced
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English
Explainable deep learning models for healthcare - CDSS 3
This course will introduce the concepts of interpretability and explainability in machine learning applications. The learner will understand the difference between global, local, model-agnostic and model-specific explanations. State-of-the-art explainability methods such as Permutation Feature Importance (PFI), Local Interpretable Model-agnostic Explanations (LIME) and SHapley Additive exPlanation (SHAP) are explained and applied in time-series classification.
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Course by
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Self Paced
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30 hours
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English
Everyday Excel
This Specialization is for learners wishing to learn Microsoft Excel from beginner level to expert level. The first two courses will teach learners the basics of Excel through the use of dozens of educational screencasts and a series of quizzes and in-application assignments. Finally, in Part 3 (Projects), learners will complete several "real world", somewhat open ended yet guided projects. In the Projects course, special emphasis is placed on dynamic array functions, which are new in Office 365 and have revolutionized the way that worksheet calculations are performed.
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Course by
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English
Design and Visualize Impact Metrics in Miro
By the end of this project, you will be able to create a performance framework to design and visualize Key Performance Indicators (KPIs) that indicate project and overall business health.
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Course by
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Self Paced
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3 hours
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English
Exam Prep MLS-C01: AWS Certified Specialty Machine Learning
Gain Skills to understand the fundamentals of Machine Learning. Learn working with various AWS Services necessary for Machine Learning. Hands on Experience working with AWS Management Console. Prepare for AWS Certified Machine Learning Specialty Certification
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Course by
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Self Paced
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English
Exploratory Data Analysis in AWS
Exploratory Data Analysis in AWS is the second course in the AWS Certified Machine Learning Specialty specialization. The main focus of this course is to analyze Data Streams and Data Analytics services in AWS along with exploring Data Analysis in AWS. This course is divided into two modules and each module is further segmented by Lessons and Video Lectures. This course facilitates learners with approximately 2:00-2:30 Hours Video lectures that provide both Theory and Hands -On knowledge. Also, Graded and Ungraded Quiz are provided with every module in order to test the ability of learners.
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5 hours
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English
Visual Machine Learning with Yellowbrick
Welcome to this project-based course on Visual Machine Learning with Yellowbrick.
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3 hours
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English
Evaluate Machine Learning Models with Yellowbrick
Welcome to this project-based course on Evaluating Machine Learning Models with Yellowbrick.
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3 hours
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English
Select Topics in Python
This specialization is intended for people who are interested in furthering their Python skills. It is assumed that students are familiar with Python and have taken the Programming in Python: A Hands-On Tutorial. These four courses cover a wide range of topics. Learn how to create and manage Python package. Use Jupyter notebooks to visualize data with Matplotlib. The third course focuses on the basics of the Django web framework. Finally, learn how to leverage Python for natural langauge processing.
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English
Interactive Word Embeddings using Word2Vec and Plotly
In this 2 hour long project, you will learn how to preprocess a text dataset comprising recipes.
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Course by
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Self Paced
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3 hours
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English
Microsoft Azure AI Fundamentals AI-900 Exam Prep
This Specialization is intended for anyone interested in preparing for the Certified AI-900 Microsoft Azure AI Fundamentals Exam. This program consists of 5 courses to help prepare you to take the certification exam. You will acquire foundational knowledge of the core concepts related to artificial intelligence (AI) and the services in Microsoft Azure that can be used to create AI solutions.
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Course by
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Self Paced
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English
Advanced AI Techniques for the Supply Chain
In this course, we’ll learn about more advanced machine learning methods that are used to tackle problems in the supply chain. We’ll start with an overview of the different ML paradigms (regression/classification) and where the latest models fit into these breakdowns. Then, we’ll dive deeper into some of the specific techniques and use cases such as using neural networks to predict product demand and random forests to classify products. An important part to using these models is understanding their assumptions and required preprocessing steps.
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Course by
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22 hours
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English
Introduction to Programming with Python and Java
This Specialization starts out by teaching basic concepts in Python and ramps up to more complex subjects such as object-oriented programming and data structures in Java. By the time learners complete this series of four courses, they will be able to write fully-functional programs in both Python and Java, two of the most well-known and frequently used programming languages in the world today. Introduction to Programming with Python and Java is for students and professionals who have minimal or no prior programming exposure.
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Course by
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Self Paced
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English