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Our Courses
Precalculus through Data and Modelling
This specialization helps to build the foundational material to use mathematics as a tool to model, understand, and interpret the world around us. This is done through studying functions, their properties, and applications to data analysis. Concepts of precalculus provide the set of tools for the learner to begin their scientific career, preparing them for future science and calculus courses. This specialization is designed for all learners, not just those interested in further mathematics courses.
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Course by
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Self Paced
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English
Evaluating Public Health Programs at Scale
This course provides an introduction to evaluating public health programs at scale. This course focuses on evaluating public health programs and policies in low- and middle-income countries, however, core skills of designing and carrying out an evaluation are applicable to any public health programs and policies. The course will equip you with skills to: 1. Critique an evaluation of an international health program, identifying its strengths and possible weaknesses and how they could be addressed. 2.
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Course by
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Self Paced
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18 hours
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English
Total Data Quality
This specialization aims to explore the Total Data Quality framework in depth and provide learners with more information about the detailed evaluation of total data quality that needs to happen prior to data analysis. The goal is for learners to incorporate evaluations of data quality into their process as a critical component for all projects.
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Course by
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Self Paced
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English
Strategic Business Analytics
This specialization is designed for students, business analysts, and data scientists who want to apply statistical knowledge and techniques to business contexts. We recommend that you have some background in statistics, R or another programming language, and familiarity with databases and data analysis techniques such as regression, classification, and clustering.We’ll cover a wide variety of analytics approaches in different industry domains.
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Course by
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Self Paced
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English
Master Data Analysis with Pandas: Learning Path 1 (Enhanced)
In this hands-on guided project, we will master the fundamentals of data analysis and manipulation with Pandas and Python. Pandas is a super powerful, fast, flexible and easy to use open-source data analysis and manipulation tool. This guided project is the first of a series of multiple guided projects (learning path) that is designed for anyone who wants to master data analysis with pandas.
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Course by
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Self Paced
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3 hours
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English
Complex Retrieval Queries in MySQL Workbench
In this intermediate-level course you will use MySQL Workbench to expand your basic SQL query-writing skills with more complex examples and activities. In hands-on activities in MySQL Workbench, you will write and execute SQL queries that retrieve data from multiple tables. In addition, you will generate queries that summarize data and perform calculations. Nested queries and SQL scripting rounds out the course content.
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Course by
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Self Paced
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3 hours
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English
Virtual Teacher
This series of courses provides best practices for online instruction, student engagement and virtual community building; effective uses of asynchronous and synchronous technologies, social media and other emerging technologies; and data analysis techniques and student performance measurements to individualize instruction in an online or blended environment. The courses in this Specialization may be taken in any order. Each course can be taken independently.
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Course by
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Self Paced
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English
BigQuery Soccer Data Analysis
This is a self-paced lab that takes place in the Google Cloud console. Learn the fundamentals of writing and executing queries to query soccer data stored in BigQuery tables. In this lab you will learn more fundamentals of sports data science by writing and executing queries to query data stored in BigQuery tables. The emphasis of the lab is to illustrate how the database works and answer some interesting questions related to the following topics in soccer.
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Course by
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1 hour
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English
Leadership for Public Health Crises
Leadership for Public Health Crises will enable current and prospective managers, directors, unit heads, and elected officials to effectively lead their organizational response to profound health-related emergencies and to build leadership capacity across multiple sectors, agencies, organizations, and divisions. This series of courses prepares graduate students (in, e.g., public administration, public health, social work, business, homeland security, education, and related fields) and practitioners in a range of roles in this broader arena who seek to attain or advance in leadership roles.
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Course by
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Self Paced
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English
Key Technologies in Data Analytics
This specialization aims to prepare you for a role working in data analytics. The first course is Fundamentals of Data Analysis. You’ll be introduced to core concepts and you’ll learn about the tools and skills required to conduct data analysis. The second course, Fundamentals of Cloud Computing, will introduce you to core concepts of cloud computing and the primary deployment and service models. The hands on material offers the opportunity to review and configure a cloud account. In Fundamentals of Data Warehousing, you will learn core concepts of data warehousing.
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Course by
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Self Paced
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English
Create Machine Learning Models in Microsoft Azure
Machine learning is the foundation for predictive modeling and artificial intelligence. If you want to learn about both the underlying concepts and how to get into building models with the most common machine learning tools this path is for you. In this course, you will learn the core principles of machine learning and how to use common tools and frameworks to train, evaluate, and use machine learning models. This course is designed to prepare you for roles that include planning and creating a suitable working environment for data science workloads on Azure.
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Course by
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Self Paced
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13 hours
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English
Creative Designing in 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 how to creatively design dashboards, reports and charts that are easier for the audience to use. You will learn how to create cohesive business intelligence reports and dashboards, as well as what common problems to avoid.
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Course by
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20 hours
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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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Course by
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English
Applied Data Science with R
This Specialization is intended for anyone with a passion for learning who is seeking to develop the job-ready skills, tools, and portfolio to have a competitive edge in the job market as an entry-level data scientist. Through these five online courses, you will develop the skills you need to bring together often disparate and disconnected data sources and use the R programming language to transform data into insights that help you and your stakeholders make more informed decisions. By the end of this Specialization, you will be able to perform basic R programming tasks to complete the data
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Course by
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Self Paced
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English
Data Understanding and Visualization
The "Data Understanding and Visualization" course provides students with essential statistical concepts to comprehend and analyze datasets effectively. Participants will learn about central tendency, variation, location, correlation, and other fundamental statistical measures. Additionally, the course introduces data visualization techniques using Pandas, Matplotlib, and Seaborn packages, enabling students to present data visually with appropriate plots for accurate and efficient communication. Learning Objectives: 1.
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Course by
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25 hours
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English
Business Statistics and Analysis
The Business Statistics and Analysis Specialization is designed to equip you with a basic understanding of business data analysis tools and techniques. Informed by our world-class Data Science master's and PhD course material, you’ll master essential spreadsheet functions, build descriptive business data measures, and develop your aptitude for data modeling. You’ll also explore basic probability concepts, including measuring and modeling uncertainty, and you’ll use various data distributions, along with the Linear Regression Model, to analyze and inform business decisions.
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Course by
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Self Paced
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English
Information Visualization
This specialization provides learners with the necessary knowledge and practical skills to develop a strong foundation in information visualization and to design and develop advanced applications for visual data analysis…
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Course by
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Self Paced
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English
Use Tableau for Your Data Science Workflow
Learn Tableau fundamentals, advanced visualizations, and integration with data science tools. Elevate your skills in creating impactful dashboards. Enroll now for hands-on experience and master the art of data storytelling. Unlock the potential for advanced analytics, exploring correlations and trends within your data. Build interactive dashboards that tell compelling data stories, utilizing filters, parameters, and actions for user engagement. Uplift your expertise with advanced visualizations, mastering heatmaps, tree maps, and geographical mapping.
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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
Data Science with R - Capstone Project
In this capstone course, you will apply various data science skills and techniques that you have learned as part of the previous courses in the IBM Data Science with R Specialization or IBM Data Analytics with Excel and R Professional Certificate. For this project, you will assume the role of a Data Scientist who has recently joined an organization and be presented with a challenge that requires data collection, analysis, basic hypothesis testing, visualization, and modeling to be performed on real-world datasets.
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Course by
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Self Paced
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26 hours
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English
Deep Learning for Healthcare
This specialization is intended for persons involved in machine learning who are interested in medical applications, or vice versa, medical professionals who are interested in the methods modern computer science has to offer to their field. We will cover health data analysis, different types of neural networks, as well as training and application of neural networks applied on real-world medical scenarios.
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Course by
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Self Paced
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English
Design of Experiments
Learn modern experimental strategy, including factorial and fractional factorial experimental designs, designs for screening many factors, designs for optimization experiments, and designs for complex experiments such as those with hard-to-change factors and unusual responses. There is thorough coverage of modern data analysis techniques for experimental design, including software.
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Course by
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Self Paced
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English
Fundamentals of Data Analysis
This course is the first of a series that aims to prepare you for a role working in data analytics. In this course, you’ll be introduced to many of the primary types of data analytics and core concepts. You’ll learn about the tools and skills required to conduct data analysis. We’ll go through some of the foundational math and statistics used in data analysis and workflows for conducting efficient and effective data analytics.
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Course by
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Self Paced
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18 hours
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English
Player Evaluation, Team Performance and Roster Management
This course will provide students with an introduction to using specific data techniques to address key sports administrative functions in team and roster management. The primary focus is on the use of data analysis in player acquisition and retention, as well as player and coach assessment. Students will learn how the collective bargaining agreement (CBA) and standard player contract (SPC) provide the framework for management decisions in which data analysis play a pivotal role. There is a focus on data science techniques as applied to sports datasets.
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Course by
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Self Paced
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16 hours
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English
Vertex AI: Qwik Start
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will use BigQuery for data processing and exploratory data analysis, and the Vertex AI platform to train and deploy a custom TensorFlow Regressor model to predict customer lifetime value (CLV). The goal of the lab is to introduce to Vertex AI through a high value real world use case - predictive CLV. Starting with a local BigQuery and TensorFlow workflow, you will progress toward training and deploying your model in the cloud with Vertex AI.
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Course by
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Self Paced
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2 hours
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English