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Our Courses
Introduction to SQL
Learn how to use and apply the powerful language of SQL to better communicate and extract data from databases - a must for anyone working in Data Engineering, Data Analytics or Data Science.
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15
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English
Data Analytics and Visualization Capstone Project
Accelerate the knowledge you gain from previous courses in the IBM Data Analyst Professional Certificate program. Assume the role of an Associate Data Analyst and use various skills and techniques on real-world datasets to accomplish a task.
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Self Paced
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15
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English
Data Analytics Basics for Everyone
Learn the fundamentals of Data Analytics and gain an understanding of the data ecosystem, the process and lifecycle of data analytics, career opportunities, and the different learning paths you can take to be a Data Analyst.
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20
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English
Health Informatics Technology in Population Healthcare Analytics
Explore health informatics solutions that answer population health challenges.
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Self Paced
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100
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English
Getting Started with Data Analytics on AWS
Learn how to go from raw data to meaningful insights using AWS with this one-week course.
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10
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English
Sales Enablement & Analytics
Learn how to use data, tools, and technology to drive productivity and set yourself apart as sales leader.
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Self Paced
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English
Supply Chain Analytics
Master and apply the core methodologies used in supply chain analysis and modeling, including statistics, regression, optimization and probability - part of the MITx Supply Chain Management MicroMasters Credential.
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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 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
Introduction to Business Analytics and Information Economics
This specialization targets learners who seek to understand the opportunities that data and analytics present for their organization and those interested in the value of and implications for data as an asset to their organization. Individuals who manage data and make decisions about how data can be leveraged in their organization will find this specialization of particular value. Businesses run on data, and data offers little value without analytics.
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Self Paced
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English
Google Business Intelligence
Get professional training designed by Google and take the next step in your career with advanced skills in the high-growth field of business intelligence. There are over 166,000 open jobs in business intelligence and the median salary for entry-level roles is $96,000.¹ Business intelligence professionals collect, organize, interpret, and report on data to help organizations make informed business decisions.
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Self Paced
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English
Hands-on Text Mining and Analytics
This course provides an unique opportunity for you to learn key components of text mining and analytics aided by the real world datasets and the text mining toolkit written in Java. Hands-on experience in core text mining techniques including text preprocessing, sentiment analysis, and topic modeling help learners be trained to be a competent data scientists. Empowered by bringing lecture notes together with lab sessions based on the y-TextMiner toolkit developed for the class, learners will be able to develop interesting text mining applications.
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Self Paced
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13 hours
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English
Regression Analysis: Simplify Complex Data Relationships
This is the fifth of seven courses in the Google Advanced Data Analytics Certificate. Data professionals use regression analysis to discover the relationships between different variables in a dataset and identify key factors that affect business performance. In this course, you’ll practice modeling variable relationships. You'll learn about different methods of data modeling and how to use them to approach business problems. You’ll also explore methods such as linear regression, analysis of variance (ANOVA), and logistic regression.
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Self Paced
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32 hours
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English
Financial Analysis - Skills for Success
In an era of thriving businesses, both small and large, it is crucial to possess a wholistic understanding of the financial building blocks of a successful organization. Through this 3-course Specialization in Financial Analysis, you will gain a well-rounded knowledge of key financial concepts that will help you apply an analytic mindset to understanding and driving organizational decisions and success. The courses in this Specialization focus on financial topics and organizational principles.
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Self Paced
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English
Distributed Programming in SAS® Viya® for Data Analysts
SAS Viya is a cloud-enabled, in-memory analytics engine that provides quick, accurate and reliable analytical insights. This professional certificate program is designed for experienced SAS programmers who want to leverage the power of SAS Cloud Analytics Services (CAS) to access, manage, and analyze in-memory tables. You will write SAS programs to execute in CAS using standard SAS syntax, including the DATA step, FedSQL, and procedures. You will also use the native CAS programming language (CASL) to process in-memory data.
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Self Paced
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English
Data Analytics in Sports Law and Team Management
This course provides an introduction to the fundamental ideas in applying data analytics to issues surrounding key regulatory and management functions within the sports industry. Sports as an industry is increasingly relying on data analytics for more effective deployment of resources and assessment of performance in areas ranging from player productivity to fan engagement, talent identification and development, coaching, sponsorship, and marketing. This course and its successors will help you understand this new role of data analysis in the sports business.
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Self Paced
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9 hours
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English
Informed Clinical Decision Making using Deep Learning
This specialisation is for learners with experience in programming that are interested in expanding their skills in applying deep learning in Electronic Health Records and with a focus on how to translate their models into Clinical Decision Support Systems. The main areas that would explore are: Data mining of Clinical Databases: Ethics, MIMIC III database, International Classification of Disease System and definition of common clinical outcomes.
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Self Paced
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English
Healthcare Analytics and Decision Making
Healthcare leaders deal with important challenges that can affect public health. Learn about health informatics solutions and financial systems needed to manage planning, quality assurance, risk management, and evidence-based decision-making.
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Self Paced
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45
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English
Sports Performance Analytics
Sports analytics has emerged as a field of research with increasing popularity propelled, in part, by the real-world success illustrated by the best-selling book and motion picture, Moneyball.
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English
AI Product Management
Organizations in every industry are accelerating their use of artificial intelligence and machine learning to create innovative new products and systems. This requires professionals across a range of functions, not just strictly within the data science and data engineering teams, to understand when and how AI can be applied, to speak the language of data and analytics, and to be capable of working in cross-functional teams on machine learning projects. This Specialization provides a foundational understanding of how machine learning works and when and how it can be applied to solve problems.
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Self Paced
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English
Digital Marketing and Data Driven Analytics
Digital Marketing is the backbone element which uses platforms and digital technologies, such as any kind of device to maintain connected to the users. Once the users are part of this ecosystem, the companies convert this random data in accurate algorithms to improve the effectiveness of any marketing campaign.
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Self Paced
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English
Data Analytics and Visualization in Health Care
Learn best practices in data analytics, informatics, and visualization to gain literacy in data-driven, strategic imperatives that affect all facets of health care.
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English
Foundations of Data Analytics
Learn the fundamental techniques for data analytics and to be prepared for learning and applying more advanced big data technologies.
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Self Paced
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English
UX Data Analysis
Become a UX data scientist! From qualitative data analysis to big data Web analytics, you will be able to leverage insights from data to make empirically-based recommendations.
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Self Paced
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10
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English
Try It: Introduction to Google Analytics
This course is an introduction to using an analytics platform to unlock the power of data. Explore how data from digital products and tools can prepare you improve ROI, develop user insights, and generate revenue results. This course prepares you to learn more advanced approaches to digital analytics and data analysis used by data analysts, marketers, product managers, and other business professionals.
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Self Paced
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1
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English