Generative AI for Business Leaders
Advertising with Meta
How Google does Machine Learning
دوراتنا
Object Oriented Development using C#
Object-oriented programming is a widely utilized programming paradigm and one of the main technical skills required to land a software engineering position in any IT company. This course equips you with the required technical skills to design and develop high-quality object-oriented software systems using the C# programming language. The course focuses on the C# programming language since it is one of the most used programming languages in the industry.
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Course by
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Self Paced
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18 ساعات
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عربي
Data Science with R - Capstone Project
In this capstone course, you will apply various data science skills and techniques that you have learned as part of the previous courses in the IBM Data Science with R Specialization or IBM Data Analytics with Excel and R Professional Certificate. For this project, you will assume the role of a Data Scientist who has recently joined an organization and be presented with a challenge that requires data collection, analysis, basic hypothesis testing, visualization, and modeling to be performed on real-world datasets.
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Course by
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Self Paced
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26 ساعات
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الإنجليزية
Desarrollador de Meta de Android
Have you ever wanted to build your own mobile app?
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Course by
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Self Paced
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الإسبانية
SQL für Data Science
As data collection has increased exponentially, so has the need for people skilled at using and interacting with data; to be able to think critically, and provide insights to make better decisions and optimize their businesses. This is a data scientist, “part mathematician, part computer scientist, and part trend spotter” (SAS Institute, Inc.). According to Glassdoor, being a data scientist is the best job in America; with a median base salary of $110,000 and thousands of job openings at a time.
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Course by
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Self Paced
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ألماني
Desarrollador de Meta de IOS
Have you ever wanted to build outstanding mobile apps like Facebook and Instagram? This Professional Certificate will teach you how to build applications for iOS devices and start a new career as an iOS Developer.
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Course by
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Self Paced
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الإسبانية
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
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Course by
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Self Paced
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13 ساعات
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الإنجليزية
Abstraction, Problem Decomposition, and Functions
This course is the third course in the specialization exploring both computational thinking and beginning C programming. Rather than trying to define computational thinking, we’ll just say it’s a problem-solving process that includes lots of different components. Most people have a better understanding of what beginning C programming means! This course assumes you have the prerequisite knowledge from the previous two courses in the specialization. You should make sure you have that knowledge, either by taking those previous courses or from personal experience, before tackling this course.
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Course by
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Self Paced
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17 ساعات
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الإنجليزية
Meta Android Developer
Have you ever wanted to build your own mobile app?
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Course by
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Self Paced
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الإنجليزية
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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Course by
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Self Paced
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الإنجليزية
Android Mobile Lifecycle and Software Development Approaches
Learn how to manage the lifecycle and data collections of mobile applications. Compare different methodologies for organizing and architecting Android applications and the implications on code quality and team velocity. You will follow the lifecycle activities of fragments from the source of generation and learn how to respond. You will do this by reviewing the Android lifecycle. You’ll review and apply different types of Kotlin user interface (UI) interactivity from user input handling to gestures.
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Course by
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Self Paced
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الإنجليزية
Data Wrangling with Python
This specialization covers various essential topics such as fundamental tools, data collection, data understanding, and data preprocessing. This specialization is designed for beginners, with a focus on practical exercises and case studies to reinforce learning. By mastering the skills and techniques covered in these courses, students will be better equipped to handle the challenges of real-world data analysis. The final project will give students an opportunity to apply what they have learned and demonstrate their mastery of the subject.
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Course by
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الإنجليزية
Sampling People, Networks and Records
Good data collection is built on good samples. But the samples can be chosen in many ways. Samples can be haphazard or convenient selections of persons, or records, or networks, or other units, but one questions the quality of such samples, especially what these selection methods mean for drawing good conclusions about a population after data collection and analysis is done. Samples can be more carefully selected based on a researcher’s judgment, but one then questions whether that judgment can be biased by personal factors.
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Course by
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Self Paced
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26 ساعات
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الإنجليزية
Meta iOS Developer
Have you ever wanted to build outstanding mobile apps like Facebook and Instagram? This Professional Certificate will teach you how to build applications for iOS devices and start a new career as an iOS Developer.
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Course by
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Self Paced
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الإنجليزية
Managing Machine Learning Projects
This second course of the AI Product Management Specialization by Duke University's Pratt School of Engineering focuses on the practical aspects of managing machine learning projects. The course walks through the keys steps of a ML project from how to identify good opportunities for ML through data collection, model building, deployment, and monitoring and maintenance of production systems.
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Course by
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18 ساعات
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الإنجليزية
Getting started in cryo-EM
This class covers the fundamental principles underlying cryo-electron microscopy (cryo-EM) starting with the basic anatomy of electron microscopes, an introduction to Fourier transforms, and the principles of image formation.
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Course by
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Self Paced
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21 ساعات
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الإنجليزية
Survey Data Collection and Analytics
This specialization covers the fundamentals of surveys as used in market research, evaluation research, social science and political research, official government statistics, and many other topic domains.
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Course by
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Self Paced
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الإنجليزية
Market Research
The Market Research Specialisation focuses on the essentials of research and the research process.
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Course by
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Self Paced
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الإنجليزية
Measuring Total Data Quality
By the end of this second course in the Total Data Quality Specialization, learners will be able to: 1. Learn various metrics for evaluating Total Data Quality (TDQ) at each stage of the TDQ framework. 2. Create a quality concept map that tracks relevant aspects of TDQ from a particular application or data source. 3. Think through relative trade-offs between quality aspects, relative costs and practical constraints imposed by a particular project or study. 4. Identify relevant software and related tools for computing the various metrics. 5.
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Course by
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Self Paced
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9 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
Create a Customer Satisfaction Survey with Typeform
During this project, you will be able to create a customer satisfaction survey in a single click with Typeform, which is an online form creation tool that will simplify the conception of different forms dedicated to data collection. You will be able to assess the degree of satisfaction of your target, which will allow you to take the necessary business actions afterwards. This project is for beginners and people who want to create a customer satisfaction survey.
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Course by
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Self Paced
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1 ساعات
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الإنجليزية
Data Collection: Online, Telephone and Face-to-face
This course presents research conducted to increase our understanding of how data collection decisions affect survey errors.
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Course by
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Self Paced
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21 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
Qualitative Research Methods
In this course you will be introduced to the basic ideas behind the qualitative research in social science. You will learn about data collection, description, analysis and interpretation in qualitative research. Qualitative research often involves an iterative process.
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Course by
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Self Paced
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24 ساعات
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الإنجليزية
Algorithms, Data Collection, and Starting to Code
This course starts you on your journey learning about computational thinking and beginning C programming. If you’d like to explore how we can interact with the world in a rigorous, computational way, and would also like to start learning to program, this is the course for you! You may have heard lots of talk about computational thinking recently, but if you ask 10 different people what it is you’ll probably get 10 different answers. Rather than trying to define computational thinking, we’ll just say it’s a problem-solving process that includes lots of different components.
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Course by
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Self Paced
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15 ساعات
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الإنجليزية
IoT (Internet of Things) Wireless & Cloud Computing Emerging Technologies
IoT (Internet of Things) devices are already abundant, but new products that include IoT modules are now a common trend. Also, almost everything is already connected to a Cloud, and much more will be in the future. Naturally, as this trend continues, in the near future almost all devices and appliances will include IoT modules which will use sensor data collection and control/management based on Clouds.
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Course by
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Self Paced
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13 ساعات
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الإنجليزية