Generative AI for Business Leaders
Advertising with Meta
How Google does Machine Learning
دوراتنا
How To Create Effective Metrics
By the end of this project, you will be able to create effective metrics for a business. You will learn what metrics are, how to create benchmarks, and how to build a system for sharing and evaluating metrics. Excel is a great tool to use if you have plans to adopt a data-driven approach to making business decisions. We will be sharpening our data analysis tools in Excel during this project.
This is a great tool to use if you have plans to use data, analytics, and or metrics to improve your business functions and decision making.
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Course by
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Self Paced
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2 ساعات
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الإنجليزية
Gender Analytics for Innovation
Gender Analytics is a way to analyze your products, services, processes and policies with a gender lens to uncover hidden opportunities for innovation and effectiveness. We'll answer questions such as: Why are women 47% more likely than men to be injured when they get in a car accident? Why do financial products fail to meet women’s needs across their life cycles? Why will automation and AI be more likely to impact women than men? Why are gender-neutral policies are not necessarily gender-equal?
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Course by
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Self Paced
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9 ساعات
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الإنجليزية
Data Analysis in R: Predictive Analysis with Regression
Increasingly, predictive analytics is shaping companies' decisions about limited resources. In this project, you will build a regression model to make predictions. We will start this hands-on project by exploring the dataset and creating visualizations for the dataset. By the end of this 2-hour-long project, you will be able to build and interpret the result of a simple linear regression model in R. Also, you will learn how to perform model assessments and check for assumptions using diagnostic plots.
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Course by
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Self Paced
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3 ساعات
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الإنجليزية
Machine Learning with H2O Flow
This is a hands-on, guided introduction to using H2O Flow for machine learning. By the end of this project, you will be able to train and evaluate machine learning models with H2O Flow and AutoML, without writing a single line of code! You will use the point and click, web-based interface to H2O called Flow to solve a business analytics problem with machine learning.
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Course by
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Self Paced
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3 ساعات
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الإنجليزية
Survey Data Collection and Analytics Project (Capstone)
The Capstone Project offers qualified learners to the opportunity to apply their knowledge by analyzing and comparing multiple data sources on the same topic. Students will develop a research question, access and analyze relevant data, and critically examine the quality of each data source.
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Course by
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Self Paced
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14 ساعات
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الإنجليزية
Cognitive Solutions and RPA Analytics
Millions of companies in the world today are processing endless documents in various formats. Although Robotic Process Automation (RPA) thrives in almost every industry and is growing fast, it works well only with structured data sources.
What about the data that’s not fully structured and comes in varying layouts? To address this problem, there is another aspect of RPA that is taking the industry by storm: cognitive automation.
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Course by
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Self Paced
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5 ساعات
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الإنجليزية
Fundamentals of Sales and Marketing, with Goldman Sachs 10,000 Women
This free online course is one of 10 courses available in the Goldman Sachs 10,000 Women collection, designed for entrepreneurs ready to take their business to the next level. This course will support you to develop your marketing strategy and build your brand as your business grows. You will explore a range of useful marketing tools and learn how to use analytics to measure success in the context of your own business growth. You will gain a clear and comprehensive understanding of the marketing and sales cycle.
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Course by
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Self Paced
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4 ساعات
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الإنجليزية
Go Beyond the Numbers: Translate Data into Insights
This is the third of seven courses in the Google Advanced Data Analytics Certificate. In this course, you’ll learn how to find the story within data and tell that story in a compelling way. You'll discover how data professionals use storytelling to better understand their data and communicate key insights to teammates and stakeholders. You'll also practice exploratory data analysis and learn how to create effective data visualizations.
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Course by
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Self Paced
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33 ساعات
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الإنجليزية
Using Twitter for Business and Twitter Analytics
In this 1-hour long project-based course, you will learn how to
- use twitter for business
- understand twitter analytics
- understand complex twitter usage
Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
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Course by
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Self Paced
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4 ساعات
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الإنجليزية
Machine Learning for Accounting with Python
This course, Machine Learning for Accounting with Python, introduces machine learning algorithms (models) and their applications in accounting problems. It covers classification, regression, clustering, text analysis, time series analysis. It also discusses model evaluation and model optimization. This course provides an entry point for students to be able to apply proper machine learning models on business related datasets with Python to solve various problems. Accounting Data Analytics with Python is a prerequisite for this course.
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Course by
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Self Paced
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64 ساعات
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الإنجليزية
Serverless Data Processing with Dataflow: Foundations
This course is part 1 of a 3-course series on Serverless Data Processing with Dataflow. In this first course, we start with a refresher of what Apache Beam is and its relationship with Dataflow. Next, we talk about the Apache Beam vision and the benefits of the Beam Portability framework. The Beam Portability framework achieves the vision that a developer can use their favorite programming language with their preferred execution backend.
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Course by
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Self Paced
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3 ساعات
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الإنجليزية
SQL for Data Science Capstone Project
Data science is a dynamic and growing career field that demands knowledge and skills-based in SQL to be successful. This course is designed to provide you with a solid foundation in applying SQL skills to analyze data and solve real business problems. Whether you have successfully completed the other courses in the Learn SQL Basics for Data Science Specialization or are taking just this course, this project is your chance to apply the knowledge and skills you have acquired to practice important SQL querying and solve problems with data.
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Course by
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Self Paced
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35 ساعات
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الإنجليزية
Create an A/B web page marketing test with Google Optimize
In this 1.5-hour long project-based course, you will learn how to create an A/B web page marketing test with Google Optimize and Google Analytics, personalizing weight option, goals, targeting, activation, and using a sample Google Sites to practice. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
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Course by
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Self Paced
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2 ساعات
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الإنجليزية
Machine Learning Algorithms with R in Business Analytics
One of the most exciting aspects of business analytics is finding patterns in the data using machine learning algorithms. In this course you will gain a conceptual foundation for why machine learning algorithms are so important and how the resulting models from those algorithms are used to find actionable insight related to business problems. Some algorithms are used for predicting numeric outcomes, while others are used for predicting the classification of an outcome. Other algorithms are used for creating meaningful groups from a rich set of data.
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Course by
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Self Paced
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14 ساعات
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الإنجليزية
Getting Started with Data Analytics on AWS
Learn how to go from raw data to meaningful insights using AWS with this one-week course. Throughout the course, you’ll learn about the fundamentals of Data Analytics from AWS experts. Start off with an overview of different types of data analytics techniques - descriptive, diagnostic, predictive, and prescriptive before diving deeper into the descriptive data analytics. Then, apply your knowledge with a guided project that makes use of a simple, but powerful dataset available by default in every AWS account: the logs from AWS CloudTrail.
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Course by
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Self Paced
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4 ساعات
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الإنجليزية
Marketing Analytics with Meta
This course explores Meta Marketing Analytics Tools. You'll learn how to create ads using Meta Ads Manager, utilize Meta experiments, optimize ads through A/B testing, integrate data from campaigns and perform an analysis to evaluate the results.
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Course by
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Self Paced
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13 ساعات
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الإنجليزية
Systems and Application Security
Course 7 - Systems and Application Security This is the seventh course under the specialization SSCP. This course discusses two major changes in recent years to how we use our data: going mobile and using the cloud. First, we use our data on the go by means of data services provided to our mobile phones, Wi-Fi, and other devices.
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Course by
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Self Paced
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17 ساعات
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الإنجليزية
Data mining of Clinical Databases - CDSS 1
This course will introduce MIMIC-III, which is the largest publicly Electronic Health Record (EHR) database available to benchmark machine learning algorithms. In particular, you will learn about the design of this relational database, what tools are available to query, extract and visualise descriptive analytics. The schema and International Classification of Diseases coding is important to understand how to map research questions to data and how to extract key clinical outcomes in order to develop clinically useful machine learning algorithms.
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Course by
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Self Paced
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21 ساعات
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الإنجليزية
Assessment for Learning
For several decades now, assessment has become an increasingly pressing educational priority. Teacher and school accountability systems have come to be based on analysis of large-scale, standardized summative assessments. As a consequence, assessment now dominates most conversations about reform, particularly as a measure of teacher and school accountability for learner performance. Behind the often heated and at times ideologically gridlocked debate is a genuine challenge to address gaps in achievement between different demographically identifiable groups of students.
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Course by
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Self Paced
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14 ساعات
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الإنجليزية
Optimization for Decision Making
In this data-driven world, companies are often interested in knowing what is the "best" course of action, given the data. For example, manufacturers need to decide how many units of a product to produce given the estimated demand and raw material availability? Should they make all the products in-house or buy some from a third-party to meet the demand? Prescriptive Analytics is the branch of analytics that can provide answers to these questions. It is used for prescribing data-based decisions. The most important method in the prescriptive analytics toolbox is optimization.
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Course by
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Self Paced
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14 ساعات
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الإنجليزية
Communicating Business Analytics Results
The analytical process does not end with models than can predict with accuracy or prescribe the best solution to business problems. Developing these models and gaining insights from data do not necessarily lead to successful implementations. This depends on the ability to communicate results to those who make decisions. Presenting findings to decision makers who are not familiar with the language of analytics presents a challenge.
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Course by
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Self Paced
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7 ساعات
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الإنجليزية
Inclusive Analytic Techniques
Many policies, products, services or processes that we think of as gender-neutral actually have gendered outcomes. Everything from snow plowing to car safety to investment advising to infrastructure investment has impacts that differ by gender. These outcomes can be even more biased if we look at important intersections with race, indigeneity, differences in ability, ethnicity, sexual orientation, and other identities. The question is, what can you do to change this?
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Course by
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Self Paced
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8 ساعات
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الإنجليزية
Applying Data Analytics in Marketing
This course introduces students to marketing analytics through a wide range of analytical tools and approaches. We will discuss causal analysis, survey analysis using regression, textual analysis (sentiment analysis), and network analysis. This course aims to provide the foundation required to make better marketing decisions by analyzing multiple types of data related to customer satisfaction.
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Course by
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Self Paced
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15 ساعات
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الإنجليزية
Analyzing and Visualizing Data in Looker
In this course, you learn how to do the kind of data exploration and analysis in Looker that would formerly be done primarily by SQL developers or analysts. Upon completion of this course, you will be able to leverage Looker's modern analytics platform to find and explore relevant content in your organization’s Looker instance, ask questions of your data, create new metrics as needed, and build and share visualizations and dashboards to facilitate data-driven decision making.
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Course by
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Self Paced
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5 ساعات
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الإنجليزية
Healthcare Analytics Essentials
This course is best suited for individuals currently in the healthcare sector, as a provider, payer, or administrator. Individuals pursuing a career change to the healthcare sector may also be interested in this course. In this course, you will have an opportunity to examine topics related to data-driven decision making in healthcare. You will be asked to consider both the patient and provider perspective and their contributions to improving the quality of care provided.
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Course by
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Self Paced
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13 ساعات
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الإنجليزية