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Our Courses
Cell Biology: The Cytoskeleton and Cell Cycle
How do we know what we know about cells? Enhance your scientific thinking and data analysis skills with this in-depth adventure through cell biology.
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English
Cell Biology: Transport and Signaling
How do we know what we know about cells? Enhance your scientific thinking and data analysis skills with this in-depth adventure through cell biology.
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Self Paced
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English
Meta Marketing Analytics
This eight-course program is designed for anyone looking to gain in-demand technical skills to kickstart a career as a marketing analyst or better analyze their business. No experience necessary. Developed by marketing analytics experts at Aptly and Meta, and designed to prepare you for jobs that include Marketing Analyst, Marketing Researcher, and more. You’ll learn basic marketing principles, how data informs marketing decisions, and how you can apply the OSEMN data analysis framework to approach common analytics questions.
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English
Quantitative Methods for Biology
Learn introductory programming and data analysis in MATLAB, with applications to biology and medicine.
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24
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English
Causal Diagrams: Draw Your Assumptions Before Your Conclusions
Learn simple graphical rules that allow you to use intuitive pictures to improve study design and data analysis for causal inference.
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9
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English
High-Dimensional Data Analysis
A focus on several techniques that are widely used in the analysis of high-dimensional data.
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15
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English
Data Science: Inference and Modeling
Learn inference and modeling, two of the most widely used statistical tools in data analysis.
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12
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English
Data Science Math Skills
Data science courses contain math—no avoiding that! This course is designed to teach learners the basic math you will need in order to be successful in almost any data science math course and was created for learners who have basic math skills but may not have taken algebra or pre-calculus. Data Science Math Skills introduces the core math that data science is built upon, with no extra complexity, introducing unfamiliar ideas and math symbols one-at-a-time.
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Self Paced
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13 hours
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English
IBM Data Analytics with Excel and R
Prepare for the in-demand field of data analytics. In this program, you’ll learn high valued skills like Excel, Cognos Analytics, and R programming language to get job-ready in less than 3 months. Data analytics is a strategy-based science where data is analyzed to find trends, answer questions, shape business processes, and aid decision-making. This Professional Certificate focuses on data analysis using Microsoft Excel and R programming language.
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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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English
Surveillance Systems: Analysis, Dissemination, and Special Systems
In this course, we'll build on the previous lessons in this specialization to focus on some very specific skills related to public health surveillance. We'll learn how to get the most out of surveillance data analysis, focusing specifically on interpreting time trend data to detect temporal aberrations as well as person, place, and time in the context of surveillance data. We'll also explore strategies for the presentation of surveillance data and some of the complex legal elements that affect its use.
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6 hours
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English
Mining Quality Prediction Using Machine & Deep Learning
In this 1.5-hour long project-based course, you will be able to: - Understand the theory and intuition behind Simple and Multiple Linear Regression. - Import Key python libraries, datasets and perform data visualization - Perform exploratory data analysis and standardize the training and testing data. - Train and Evaluate different regression models using Sci-kit Learn library. - Build and train an Artificial Neural Network to perform regression. - Understand the difference between various regression models KPIs such as MSE, RMSE, MAE, R2, and adjusted R2. - Assess the performance of regressio
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2 hours
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English
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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English
From Data to Insights with Google Cloud
Want to know how to query and process petabytes of data in seconds? Curious about data analysis that scales automatically as your data grows? Welcome to the Data Insights course! This four-course accelerated online specialization teaches course participants how to derive insights through data analysis and visualization using the Google Cloud Platform. The courses feature interactive scenarios and hands-on labs where participants explore, mine, load, visualize, and extract insights from diverse Google BigQuery datasets.
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English
Data Analytics in the Public Sector with R
Every government entity collects and stores millions of data points to perform administrative and legislative duties, allocate resources, and make decisions. Professionals in the public sector need the necessary skills to accurately interpret and inform administrators and policymakers about the meaning behind these data. This Specialization will equip you with fundamental technical skills using the R programming language to gather, manipulate, analyze, visualize, and interpret data to inform public policy and public administrative functions.
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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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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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Self Paced
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16 hours
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English
Programming for Data Science
Learn how to apply fundamental programming concepts, computational thinking and data analysis techniques to solve real-world data science problems.
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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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Self Paced
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30 hours
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English
Statistics with Python
This specialization is designed to teach learners beginning and intermediate concepts of statistical analysis using the Python programming language. Learners will learn where data come from, what types of data can be collected, study data design, data management, and how to effectively carry out data exploration and visualization. They will be able to utilize data for estimation and assessing theories, construct confidence intervals, interpret inferential results, and apply more advanced statistical modeling procedures.
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Data Analysis and Interpretation
Learn SAS or Python programming, expand your knowledge of analytical methods and applications, and conduct original research to inform complex decisions. The Data Analysis and Interpretation Specialization takes you from data novice to data expert in just four project-based courses. You will apply basic data science tools, including data management and visualization, modeling, and machine learning using your choice of either SAS or Python, including pandas and Scikit-learn. Throughout the Specialization, you will analyze a research question of your choice and summarize your insights.
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Pre MBA Quantitative Skills
This Specialization is designed to equip you with a basic understanding of business finance, accounting, and data analysis. We've put together these three courses with the explicit intent of helping people prepare for th…
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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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Accounting Data Analytics
This specialization develops learners’ analytics mindset and knowledge of data analytics tools and techniques. Specifically, this specialization develops learners' analytics skills by first introducing an analytic mindset, data preparation, visualization, and analysis using Excel. Next, this specialization develops learners' skills of using Python for data preparation, data visualization, data analysis, and data interpretation and the ability to apply these skills to issues relevant to accounting.
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English
Mathematical Methods for Data Analysis
Learn mathematical methods for data analysis including mathematical formulations and computational methods. Some well-known machine learning algorithms such as k-means are introduced in the examples.
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21
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English