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Our Courses
Regression Models
Linear models, as their name implies, relates an outcome to a set of predictors of interest using linear assumptions. Regression models, a subset of linear models, are the most important statistical analysis tool in a data scientist’s toolkit. This course covers regression analysis, least squares and inference using regression models. Special cases of the regression model, ANOVA and ANCOVA will be covered as well. Analysis of residuals and variability will be investigated.
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Course by
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Self Paced
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54 hours
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English
Teach English Now! Lesson Design and Assessment
Learners will be introduced to designing lesson plans based on principles and knowledge of learning objectives, assessment plans, methods, materials, and learning activities. Learners will find and prepare appropriate teaching materials through careful analysis, adaptation and creation of professional resources. Learners will also reflect on the cohesion between lesson design and teaching philosophies.
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Course by
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Self Paced
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21 hours
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English
Introduction to Software Testing
After completing this course, you will have an understanding of the fundamental principles and processes of software testing. You will have actively created test cases and run them using an automated testing tool.
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Course by
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Self Paced
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30 hours
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English
Understanding economic policymaking
This is the first of the three courses part of the Globalization, Economic Growth and Stability Specialization. This course will employ a non-technical approach to analyze how governments use policy to influence a country's economy. Upon completing the course you should be able to discuss national debts and deficits, examine fiscal and monetary policy and their appropriateness to the situation of an economy, and anticipate the results of fiscal and monetary policies and structural reform on a country.
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Course by
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Self Paced
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17 hours
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English
Preparing for the Google Cloud Professional Data Engineer Exam
The purpose of this course is to help those who are qualified develop confidence to attempt the exam, and to help those not yet qualified to develop their own plan for preparation.…
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Course by
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Self Paced
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7 hours
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English
Startup Valuation Methods
How do different types of investors think about an investment opportunity? What kind of securities and contracts do they offer? How should a company decide what is a "good deal"? This course is designed to introduce you to the challenges and pitfalls of financing new enterprises. You will learn the basic tools for valuating companies, including using discounted cashflow analysis in Excel and understanding how to apply this model to your entrepreneurial venture.
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Course by
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Self Paced
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6 hours
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English
Inspiring Leadership through Emotional Intelligence
Emotional intelligence, hope, mindfulness, and compassion help a person reverse the damage of chronic stress and build great leadership relationships. The Positive and Negative Emotional Attractors inspire sustained, desired change and learning at many levels.
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Course by
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Self Paced
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19 hours
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English
Introduction to Systems Biology
This course will introduce the student to contemporary Systems Biology focused on mammalian cells, their constituents and their functions. Biology is moving from molecular to modular. As our knowledge of our genome and gene expression deepens and we develop lists of molecules (proteins, lipids, ions) involved in cellular processes, we need to understand how these molecules interact with each other to form modules that act as discrete functional systems. These systems underlie core subcellular processes such as signal transduction, transcription, motility and electrical excitability.
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Course by
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Self Paced
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19 hours
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English
Managing Security in Google Cloud
This self-paced training course gives participants broad study of security controls and techniques on Google Cloud. Through recorded lectures, demonstrations, and hands-on labs, participants explore and deploy the components of a secure Google Cloud solution, including Cloud Identity, Resource Manager, Cloud IAM, Virtual Private Cloud firewalls, Cloud Load Balancing, Cloud Peering, Cloud Interconnect, and VPC Service Controls. This is the first course of the Security in Google Cloud series. After completing this course, enroll in the Security Best Practices in Google Cloud course.
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Course by
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Self Paced
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7 hours
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English
Creative Problem Solving
This course deals directly with your ability for creativity which is a critical skill in any field. It focuses on divergent thinking, the ability to develop multiple ideas and concepts to solve problems. Through a series of creativity building exercises, short lectures, and readings, learners develop both an understanding of creativity and increase their own ability. This course will help you understand the role of creativity and innovation in your own work and in other disciplines.
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Course by
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Self Paced
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14 hours
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English
Introduction to Social Media Marketing
This course lays the foundation of social media marketing. You’ll learn what social media marketing entails, including the history and the different social media channels that exist.
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Course by
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Self Paced
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33 hours
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English
Probabilistic Deep Learning with TensorFlow 2
Welcome to this course on Probabilistic Deep Learning with TensorFlow! This course builds on the foundational concepts and skills for TensorFlow taught in the first two courses in this specialisation, and focuses on the probabilistic approach to deep learning. This is an increasingly important area of deep learning that aims to quantify the noise and uncertainty that is often present in real world datasets.
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Course by
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Self Paced
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53 hours
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English
Data Engineering Career Guide and Interview Preparation
This course is designed to prepare you to enter the job market as a data engineer. It provides guidance about the regular functions and tasks of data engineers and their place in the data ecosystem, as well as the opportunities of the profession and some options for career development. It explains practical techniques for creating essential job-seeking materials such as a resume and a portfolio, as well as auxiliary tools like a cover letter and an elevator pitch. You will learn how to find and assess prospective job positions, apply to them, and lay the groundwork for interviewing.
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Course by
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Self Paced
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10 hours
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English
Data Collection and Processing with Python
This course teaches you to fetch and process data from services on the Internet. It covers Python list comprehensions and provides opportunities to practice extracting from and processing deeply nested data. You'll also learn how to use the Python requests module to interact with REST APIs and what to look for in documentation of those APIs.
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Course by
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Self Paced
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16 hours
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English
Building Resilient Streaming Analytics Systems on Google Cloud
Processing streaming data is becoming increasingly popular as streaming enables businesses to get real-time metrics on business operations. This course covers how to build streaming data pipelines on Google Cloud. Pub/Sub is described for handling incoming streaming data. The course also covers how to apply aggregations and transformations to streaming data using Dataflow, and how to store processed records to BigQuery or Bigtable for analysis. Learners get hands-on experience building streaming data pipeline components on Google Cloud by using Google Cloud Skills Boost.
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Course by
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Self Paced
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8 hours
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English
Natural Language Processing with Probabilistic Models
In Course 2 of the Natural Language Processing Specialization, you will: a) Create a simple auto-correct algorithm using minimum edit distance and dynamic programming, b) Apply the Viterbi Algorithm for part-of-speech (POS) tagging, which is vital for computational linguistics, c) Write a better auto-complete algorithm using an N-gram language model, and d) Write your own Word2Vec model that uses a neural network to compute word embeddings using a continuous bag-of-words model. By the end of this Specialization, you will have designed NLP applications that perform question-answering and se
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Course by
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Self Paced
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31 hours
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English
Visual Perception for Self-Driving Cars
Welcome to Visual Perception for Self-Driving Cars, the third course in University of Toronto’s Self-Driving Cars Specialization. This course will introduce you to the main perception tasks in autonomous driving, static and dynamic object detection, and will survey common computer vision methods for robotic perception. By the end of this course, you will be able to work with the pinhole camera model, perform intrinsic and extrinsic camera calibration, detect, describe and match image features and design your own convolutional neural networks.
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Course by
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31 hours
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English
State Estimation and Localization for Self-Driving Cars
Welcome to State Estimation and Localization for Self-Driving Cars, the second course in University of Toronto’s Self-Driving Cars Specialization. We recommend you take the first course in the Specialization prior to taking this course. This course will introduce you to the different sensors and how we can use them for state estimation and localization in a self-driving car.
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Course by
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Self Paced
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27 hours
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English
Introduction to Genetics and Evolution
Introduction to Genetics and Evolution is a college-level class being offered simultaneously to new students at Duke University. The course gives interested people a very basic overview of some principles behind these very fundamental areas of biology.
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Course by
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Self Paced
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25 hours
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English
AWS Cloud Technical Essentials
Are you in a technical role and want to learn the fundamentals of AWS? Do you aspire to have a job or career as a cloud developer, architect, or in an operations role? If so, AWS Cloud Technical Essentials is an ideal way to start. This course was designed for those at the beginning of their cloud-learning journey - no prior knowledge of cloud computing or AWS products and services required! Throughout the course, students will build highly available, scalable, and cost effective application step-by-step.
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Course by
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Self Paced
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25 hours
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English
Recommendation Systems on Google Cloud
In this course, you apply your knowledge of classification models and embeddings to build a ML pipeline that functions as a recommendation engine. This is the fifth and final course of the Advanced Machine Learning on Google Cloud series.
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Course by
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Self Paced
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15 hours
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English
Customising your models with TensorFlow 2
Welcome to this course on Customising your models with TensorFlow 2! In this course you will deepen your knowledge and skills with TensorFlow, in order to develop fully customised deep learning models and workflows for any application. You will use lower level APIs in TensorFlow to develop complex model architectures, fully customised layers, and a flexible data workflow.
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Course by
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27 hours
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English
Healing with the Arts
Through art projects—including visual arts, dance, writing, and music—along with spiritual practices and guided imagery, Healing With the Arts gives you the tools to heal what you need to heal in your life: physical, mental, emotional, and spiritual.
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Course by
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Self Paced
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13 hours
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English
Excel Power Tools for Data Analysis
Welcome to Excel Power Tools for Data Analysis. In this four-week course, we introduce Power Query, Power Pivot and Power BI, three power tools for transforming, analysing and presenting data. Excel's ease and flexibility have long made it a tool of choice for doing data analysis, but it does have some inherent limitations: for one, truly "big" data simply does not fit in a spreadsheet and for another, the process of importing and cleaning data can be a repetitive, time-consuming and error-prone.
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Course by
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15 hours
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English
Operating Systems and You: Becoming a Power User
In this course -- through a combination of video lectures, demonstrations, and hands-on practice -- you’ll learn about the main components of an operating system and how to perform critical tasks like managing software and users, and configuring hardware.
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Course by
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Self Paced
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34 hours
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English