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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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Self Paced
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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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Self Paced
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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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Self Paced
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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
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
Big Data Analysis Deep Dive
The job market for architects, engineers, and analytics professionals with Big Data expertise continues to increase. The Academy’s Big Data Career path focuses on the fundamental tools and techniques needed to pursue a career in Big Data. This course includes: data processing with python, writing and reading SQL queries, transmitting data with MaxCompute, analyzing data with Quick BI, using Hive, Hadoop, and spark on E-MapReduce, and how to visualize data with data dashboards.
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Self Paced
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14 hours
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English
Sustainability Analyst Fundamentals
The ASU Sustainability specialization introduces the role of a sustainability analyst, assesses sustainability challenges that face the planet and employers, and equips learners with the foundational skills needed to address these challenges.
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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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Self Paced
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English
Fundamentals of Machine Learning for Supply Chain
This course will teach you how to leverage the power of Python to understand complicated supply chain datasets. Even if you are not familiar with supply chain fundamentals, the rich data sets that we will use as a canvas will help orient you with several Pythonic tools and best practices for exploratory data analysis (EDA). As such, though all datasets are geared towards supply chain minded professionals, the lessons are easily generalizable to other use cases.
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Self Paced
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13 hours
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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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Self Paced
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18 hours
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English
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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Self Paced
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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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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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English
Crime Zone Heatmaps with Python and Folium
In this one hour long project-based course, you will tackle a real-world problem in data analysis and visualization.
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Self Paced
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3 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
Data Analyst Career Guide and Interview Preparation
Data analytics professionals are in high demand around the world, and the trend shows no sign of slowing. There are lots of great jobs available, but lots of great candidates too. How can you get the edge in such a competitive field? This course will prepare you to enter the job market as a great candidate for a data analyst position. It provides 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.
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Self Paced
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11 hours
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English
Introduction to Data Science
Interested in learning more about data science, but don’t know where to start? This 4-course Specialization from IBM will provide you with the key foundational skills any data scientist needs to prepare you for a career in data science or further advanced learning in the field. This Specialization will introduce you to what data science is and what data scientists do. You’ll discover the applicability of data science across fields, and learn how data analysis can help you make data driven decisions.
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English
Matrix Methods
Mathematical Matrix Methods lie at the root of most methods of machine learning and data analysis of tabular data. Learn the basics of Matrix Methods, including matrix-matrix multiplication, solving linear equations, orthogonality, and best least squares approximation. Discover the Singular Value Decomposition that plays a fundamental role in dimensionality reduction, Principal Component Analysis, and noise reduction. Optional examples using Python are used to illustrate the concepts and allow the learner to experiment with the algorithms.
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Self Paced
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7 hours
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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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Self Paced
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English
Use Power Bi for Financial Data Analysis
In this project, learners will have a guided look through Power Bi dynamic reports and visualizations for financial data analysis.
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Self Paced
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3 hours
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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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Self Paced
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21
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English