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توقع حضور المواعيد الطبية باستخدام Python
في نهاية المشروع ده هتقدر تصمم model ذكاء صناعي عشان يتوقع المريض هيجي المعاد إلي كان محدد ولا لاباستخدام Python و Jupyter Notebook. خلال المشروع هنمشى مع بعض خطوة بخطوة عشان نقدر نحلل البيانات إلي هتكون معنا من website Kaggle.com الdata دي هتكون عن مرضى في البرازيل.و هنقدر نحدد ازاي الmachine learning engineer بيختار الmachine learning model بتاعو. و ازاي إقدر إستعمل ال-machine learning model بتاعي ده عشان اتوقع هل المريض ده هيجي ولا لا. المشروع ده هيفيد الناس المهتمة بمجال الdata science.
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Course by
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Self Paced
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2 hours
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Arabic
تحليل البيانات ب R: التنبؤ بتحليل الانحدار
خلال هل مشروع راح تكون قادر تعمل predictive data analysis with regression يعني إستخدام البيانات للتحليل والتنبؤ من خلال طريقة الانحدار الخطّي ب-R Programming language.
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Course by
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Self Paced
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2 hours
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Arabic
برنامج Power BI للمبتدئين: تصور البيانات
سألت قبل كدة إزاي بيتم إنشاء الرسومات البيانية وعرضها في تقرير يُوضّح لنا أبرز المعلومات والإحصاءات والأرقام التي تخص موضوع مُعيّن؟ ده يتم عن طريق ال Data Analysis and Visualization باستخدام بعض الأدوات المُختصة في تحليل البيانات ومن أبرزها وأهمها حاليًا هو Power BI.
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Course by
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Self Paced
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1 hour
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Arabic
Wrangling Data in the Tidyverse
Data never arrive in the condition that you need them in order to do effective data analysis. Data need to be re-shaped, re-arranged, and re-formatted, so that they can be visualized or be inputted into a machine learning algorithm. This course addresses the problem of wrangling your data so that you can bring them under control and analyze them effectively.
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Course by
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Self Paced
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14 hours
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English
Web of Data
This MOOC – a joint initiative between EIT Digital, Université de Nice Sophia-Antipolis / Université Côte d'Azur, and INRIA - introduces the Linked Data standards and principles that provide the foundation of the Semantic web. You will learn how to publish, obtain and use structured data directly from the Web.
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Course by
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Self Paced
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18 hours
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English
Visualizing & Communicating Results in Python with Jupyter
Code and run your first Python program in minutes without installing anything! This course is designed for learners with limited coding experience, providing a foundation for presenting data using visualization tools in Jupyter Notebook. This course helps learners describe and make inferences from data, and better communicate and present data. The modules in this course will cover a wide range of visualizations which allow you to illustrate and compare the composition of the dataset, determine the distribution of the dataset, and visualize complex data such as geographically-based data.
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Course by
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Self Paced
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11 hours
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English
Visualization for Data Journalism
While telling stories with data has been part of the news practice since its earliest days, it is in the midst of a renaissance. Graphics desks which used to be deemed as “the art department,” a subfield outside the work of newsrooms, are becoming a core part of newsrooms’ operation. Those people (they often have various titles: data journalists, news artists, graphic reporters, developers, etc.) who design news graphics are expected to be full-fledged journalists and work closely with reporters and editors.
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Course by
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Self Paced
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18 hours
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English
Virtual Teacher
This series of courses provides best practices for online instruction, student engagement and virtual community building; effective uses of asynchronous and synchronous technologies, social media and other emerging technologies; and data analysis techniques and student performance measurements to individualize instruction in an online or blended environment. The courses in this Specialization may be taken in any order. Each course can be taken independently.
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Course by
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Self Paced
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English
Vertex AI: Qwik Start
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will use BigQuery for data processing and exploratory data analysis, and the Vertex AI platform to train and deploy a custom TensorFlow Regressor model to predict customer lifetime value (CLV). The goal of the lab is to introduce to Vertex AI through a high value real world use case - predictive CLV. Starting with a local BigQuery and TensorFlow workflow, you will progress toward training and deploying your model in the cloud with Vertex AI.
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Course by
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Self Paced
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2 hours
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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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Course by
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Self Paced
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10
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English
Using DAX throughout PowerBI to create robust data scenarios
If you don't use Data Analysis Expressions (DAX) Language, you will miss out on 95% of Power BI's potential as a fantastic analytical tool, and the journey to becoming a DAX master starts with the right step.
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Course by
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Self Paced
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3 hours
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English
Using Custom Fields in Looker Explores
This is a Google Cloud Self-Paced Lab. In this lab, you will learn how to utilize custom fields in Looker Explores queries. Looker provides the ability for non-developer users to create and utilize ad hoc fields for richer data analysis.
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Course by
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Self Paced
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1 hour
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English
Using clinical health data for better healthcare
Digital health is rapidly being realised as the future of healthcare.
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Course by
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Self Paced
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16 hours
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English
Using Basic Formulas and Functions in Microsoft Excel
Have you started using spreadsheets like Excel and want to learn how to write formulas and functions to perform simple data analysis? In this project, you will learn about the general format for writing formulas and functions in Excel to perform analysis on the sales data from a sample company. In this analysis, you will calculate total sums of profits, you will learn how to use functions to analyze the popularity of the items sold and you will also learn how to calculate averages and percentages of monthly profits.
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Course by
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Self Paced
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3 hours
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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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Course by
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Self Paced
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3 hours
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English
Unsupervised Machine Learning
This course introduces you to one of the main types of Machine Learning: Unsupervised Learning. You will learn how to find insights from data sets that do not have a target or labeled variable. You will learn several clustering and dimension reduction algorithms for unsupervised learning as well as how to select the algorithm that best suits your data.
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Course by
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Self Paced
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23 hours
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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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Course by
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Self Paced
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1
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English
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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English
Tools for Exploratory Data Analysis in Business
This course introduces several tools for processing business data to obtain actionable insight. The most important tool is the mind of the data analyst. Accordingly, in this course, you will explore what it means to have an analytic mindset. You will also practice identifying business problems that can be answered using data analytics. You will then be introduced to various software platforms to extract, transform, and load (ETL) data into tools for conducting exploratory data analytics (EDA).
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Course by
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Self Paced
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19 hours
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English
The Total Data Quality Framework
By the end of this first course in the Total Data Quality specialization, learners will be able to: 1. Identify the essential differences between designed and gathered data and summarize the key dimensions of the Total Data Quality (TDQ) Framework; 2. Define the three measurement dimensions of the Total Data Quality framework, and describe potential threats to data quality along each of these dimensions for both gathered and designed data; 3.
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Course by
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Self Paced
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12 hours
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English
The Data Driven Manager
In the Data Driven Manager specialization, you will learn how to first understand the type of data that you have (or want to generate), then describe it with numbers and graphs to communicate with your audience. You will practice using probability and distributions to understand the underlying nature of your data to make decisions and solve problems in a way that increases the likelihood of a desired outcome. You will learn the steps to create a plan to answer business and engineering questions and reduce risk when making decisions.
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Course by
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Self Paced
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English
Teaching Impacts of Technology: Data Collection, Use, and Privacy
In this course you’ll focus on how constant data collection and big data analysis have impacted us, exploring the interplay between using your data and protecting it, as well as thinking about what it could do for you in the future. This will be done through a series of paired teaching sections, exploring a specific “Impact of Computing” in your typical day and the “Technologies and Computing Concepts” that enable that impact, all at a K12-appropriate level.
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Course by
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Self Paced
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13 hours
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English
Take a Swing at Baseball Analytics: Explore Player Careers
Former Major League Baseball (MLB) player Matt Kata joins MathWorks to introduce you to data analysis using baseball statistics. By analyzing historic batting statistics, you will explore player careers and answer the question: When do great hitters peak in their career?
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Course by
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Self Paced
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4 hours
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English
Systems Science and Obesity
Systems science has been instrumental in breaking new scientific ground in diverse fields such as meteorology, engineering and decision analysis. However, it is just beginning to impact public health. This seminar is designed to introduce students to basic tools of theory building and data analysis in systems science and to apply those tools to better understand the obesity epidemic in human populations. There will also be a lab in which students will use a simple demonstration model of food acquisition behavior using agent-based modeling on standard (free) software (netlogo).
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Course by
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Self Paced
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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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Course by
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Self Paced
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English