Generative AI for Business Leaders
Advertising with Meta
How Google does Machine Learning
Our Courses
Text Marketing Analytics
Marketing data are complex and have dimensions that make analysis difficult. Large unstructured datasets are often too big to extract qualitative insights. Marketing datasets also are relational and connected. This specialization tackles advanced advertising and marketing analytics through three advanced methods aimed at solving these problems: text classification, text topic modeling, and semantic network analysis. Each key area involves a deep dive into the leading computer science methods aimed at solving these methods using Python.
-
Course by
-
Self Paced
-
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.
-
Course by
-
Self Paced
-
English
Organizational Leadership
Equip yourself to successfully lead organizations through clarity of purpose and effective collaboration — by building and motivating teams; designing and delivering powerful stories; developing strategies to appropriately influence; understanding underlying customer analytics and applying innovative approaches to deliver impact. How do aspiring managers succeed in an ever-changing business environment? How do they lead different groups to action?
-
Course by
-
Self Paced
-
English
Business Data Management and Communication
In a world driven by big data, it is crucial to understand how valuable information can be extracted from large volumes of data. Further, it is pivotal to utilize information to its full potential. This not only requires one to extract value from data but also to effectively communicate the information obtained. The Business Data Management and Communication Specialization is tailored to deliver a well-balanced curriculum that focuses on all three aspects - Understanding Data, Extracting Valuable Information, and Effective Communication.
-
Course by
-
Self Paced
-
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.
-
Course by
-
Self Paced
-
9 hours
-
English
Exploratory Data Analysis in AWS
Exploratory Data Analysis in AWS is the second course in the AWS Certified Machine Learning Specialty specialization. The main focus of this course is to analyze Data Streams and Data Analytics services in AWS along with exploring Data Analysis in AWS. This course is divided into two modules and each module is further segmented by Lessons and Video Lectures. This course facilitates learners with approximately 2:00-2:30 Hours Video lectures that provide both Theory and Hands -On knowledge. Also, Graded and Ungraded Quiz are provided with every module in order to test the ability of learners.
-
Course by
-
5 hours
-
English
Microsoft Azure Data Fundamentals DP-900 Exam Prep
This Specialization is intended for IT professionals who want to learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build their foundational knowledge of cloud data services within Microsoft Azure. Through five courses, you will prepare to take the DP-900 exam. This program will prepare you to take up Data Engineer, Data Analyst, and Database Administrator roles. You will explore the roles, tasks, and responsibilities in the world of data.
-
Course by
-
Self Paced
-
English
Business Application of Machine Learning and Artificial Intelligence in Healthcare
The future of healthcare is becoming dependent on our ability to integrate Machine Learning and Artificial Intelligence into our organizations. But it is not enough to recognize the opportunities of AI; we as leaders in the healthcare industry have to first determine the best use for these applications ensuring that we focus our investment on solving problems that impact the bottom line. Throughout these four modules we will examine the use of decision support, journey mapping, predictive analytics, and embedding Machine Learning and Artificial Intelligence into the healthcare industry.
-
Course by
-
Self Paced
-
13 hours
-
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.
-
Course by
-
Self Paced
-
14 hours
-
English
Microsoft Azure Data Engineering Associate (DP-203)
This Professional Certificate is intended for data engineers and developers who want to demonstrate their expertise in designing and implementing data solutions that use Microsoft Azure data services anyone interested in preparing for the Exam DP-203: Data Engineering on Microsoft Azure. This Professional Certificate will help you develop expertise in designing and implementing data solutions that use Microsoft Azure data services.
-
Course by
-
Self Paced
-
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.
-
Course by
-
Self Paced
-
32 hours
-
English
Social Media Data Analytics
Learner Outcomes: After taking this course, you will be able to: - Utilize various Application Programming Interface (API) services to collect data from different social media sources such as YouTube, Twitter, and Flickr. - Process the collected data - primarily structured - using methods involving correlation, regression, and classification to derive insights about the sources and people who generated that data. - Analyze unstructured data - primarily textual comments - for sentiments expressed in them. - Use different tools for collecting, analyzing, and exploring social media data for resea
-
Course by
-
13 hours
-
English
Fundamentals of Cloud Computing
This course is the second of a series that aims to prepare you for a role working in data analytics. In this course, you will be introduced to many of the core concepts of cloud computing. You will learn about the primary deployment models. We’ll go through the common cloud computing service models. The hands on material offers the opportunity to review and configure a cloud account. This course covers a wide variety of topics that are critical for understanding cloud computing and are designed to give you an introduction and overview as you begin to build relevant knowledge and skills.
-
Course by
-
Self Paced
-
14 hours
-
English
Google Digital Marketing & E-commerce
Prepare for a new career in the high-growth fields of digital marketing and e-commerce, in under six months, no experience or degree required. Businesses need digital marketing and e-commerce talent more than ever before; 86% of business leaders report that digital commerce will be the most important route to growth.
-
Course by
-
Self Paced
-
English
Google Data Analytics
Prepare for a new career in the high-growth field of data analytics, no experience or degree required. Get professional training designed by Google and have the opportunity to connect with top employers. There are 483,000 open jobs in data analytics with a median entry-level salary of $92,000.¹ Data analytics is the collection, transformation, and organization of data in order to draw conclusions, make predictions, and drive informed decision making. Over 8 courses, gain in-demand skills that prepare you for an entry-level job.
-
Course by
-
Self Paced
-
English
RPA Lifecycle: Development and Testing
To adopt RPA, you begin with the Discovery and Design phases and proceed onto the Development and Testing phase.
RPA Lifecycle – Development and Testing is the second course of the Specialization on Implementing RPA with Cognitive Solutions and Analytics.
-
Course by
-
Self Paced
-
10 hours
-
English
Machine Learning for Marketing
Understand the structure and techniques used in Machine Learning, Text Mining, and Decision Science for Marketing. Explore the fascinating world of Machine Learning and its transformative applications in marketing. Explain how analytics and decision science approaches for marketing can enhance the quality of marketing decision-making. Foundation in digital marketing analytics to understand the consumer journey, intent, and activity on your business website.
-
Course by
-
Self Paced
-
English
Data Mining
The Data Mining Specialization teaches data mining techniques for both structured data which conform to a clearly defined schema, and unstructured data which exist in the form of natural language text. Specific course topics include pattern discovery, clustering, text retrieval, text mining and analytics, and data visualization. The Capstone project task is to solve real-world data mining challenges using a restaurant review data set from Yelp. Courses 2 - 5 of this Specialization form the lecture component of courses in the online Master of Computer Science Degree in Data Science.
-
Course by
-
Self Paced
-
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.
-
Course by
-
Self Paced
-
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.
-
Course by
-
Self Paced
-
11 hours
-
English
Natural Language Processing in Microsoft Azure
Natural language processing supports applications that can see, hear, speak with, and understand users. Using text analytics, translation, and language understanding services, Microsoft Azure makes it easy to build applications that support natural language. In this course, you will learn how to use the Text Analytics service for advanced natural language processing of raw text for sentiment analysis, key phrase extraction, named entity recognition, and language detection. You will learn how to recognize and synthesize speech by using Azure Cognitive Services.
-
Course by
-
8 hours
-
English
Developing Industrial Internet of Things
The courses in this specialization can also be taken for academic credit as ECEA 5385-5387, part of CU Boulder’s Master of Science in Electrical Engineering degree. Enroll here. In this specialization, you will engage the vast array of technologies that can be used to build an industrial internet of things deployment.
-
Course by
-
Self Paced
-
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.
-
Course by
-
Self Paced
-
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.
-
Course by
-
Self Paced
-
English
Microsoft Power BI Desktop - The Practical Bootcamp
✓ Master Power BI Desktop from end-to-end ✓ Create impressive reports with Power BI ✓ Work professionally with Power BI Microsoft Power BI Desktop is the perfect tool for creating impressive reports, and this course will teach you everything you need to know to become an advanced report creator.
-
Course by
-
Self Paced
-
9 hours
-
English