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Data Management in Python: Build a Login System for your App

Data Management in Python: Build a Login System for your App

This guided project, Data Management in Python: Build a Login System for your App, will help an intermediate Python programmer looking to use a MySQL database in Python for simple data input and querying.
In this project, you will learn how to use MySQL to create a database table, utilize the MySQL driver to connect a Python application to a database, demonstrate the ability to test a MySQL database existence using Python, demonstrate the ability to query data from a MySQL database using Python, and demonstrate the ability to insert data into a MySQL database using Python.

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  • 4 ساعات
  • الإنجليزية
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Machine Learning on Google Cloud

Machine Learning on Google Cloud

What is machine learning, and what kinds of problems can it solve? How can you build, train, and deploy machine learning models at scale without writing a single line of code?

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  • الإنجليزية
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NoSQL, Big Data, and Spark Foundations

NoSQL, Big Data, and Spark Foundations

Big Data Engineers and professionals with NoSQL skills are highly sought after in the data management industry. This Specialization is designed for those seeking to develop fundamental skills for working with Big Data, Apache Spark, and NoSQL databases.

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  • الإنجليزية
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MLOps | Machine Learning Operations

MLOps | Machine Learning Operations

This comprehensive course series is perfect for individuals with programming knowledge such as software developers, data scientists, and researchers. You'll acquire critical MLOps skills, including the use of Python and Rust, utilizing GitHub Copilot to enhance productivity, and leveraging platforms like Amazon SageMaker, Azure ML, and MLflow.

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  • الإنجليزية
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AWS: Data Management and Backups

AWS: Data Management and Backups

AWS: Data Management and Backups Course is the fourth course of Exam Prep: AWS Certified SysOps Administrator - Associate Specialization. This course teaches Data Storage and management concepts by exploring AWS Services such as Amazon S3, and AWS Storage Gateway.

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  • 5 ساعات
  • الإنجليزية
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IBM Mainframe Developer

IBM Mainframe Developer

Gain the job-ready skills for an entry-level mainframe programming role. Mainframe computers continue to power many mission-critical, financial, banking, and government agency systems. There are 220 billion lines of COBOL in use today. 43% of banking systems are built on COBOL, and 95% percent of ATM swipes rely on COBOL code.¹ COBOL is scalable, mature, and self-documenting. You'll learn about COBOL from its birth and through its evolution.

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  • الإنجليزية
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Autonomous Vehicle Engineering

Autonomous Vehicle Engineering

This specialization is intended for students seeking to explore the Autonomous Vehicle sector, which is undergoing profound transformation in today’s world.

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Data Science at Scale

Data Science at Scale

Learn scalable data management, evaluate big data technologies, and design effective visualizations. This Specialization covers intermediate topics in data science. You will gain hands-on experience with scalable SQL and NoSQL data management solutions, data mining algorithms, and practical statistical and machine learning concepts. You will also learn to visualize data and communicate results, and you’ll explore legal and ethical issues that arise in working with big data.

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  • الإنجليزية
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Data Analysis and Interpretation

Data Analysis and Interpretation

Learn SAS or Python programming, expand your knowledge of analytical methods and applications, and conduct original research to inform complex decisions. The Data Analysis and Interpretation Specialization takes you from data novice to data expert in just four project-based courses. You will apply basic data science tools, including data management and visualization, modeling, and machine learning using your choice of either SAS or Python, including pandas and Scikit-learn. Throughout the Specialization, you will analyze a research question of your choice and summarize your insights.

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  • الإنجليزية
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Statistics with Python

Statistics with Python

This specialization is designed to teach learners beginning and intermediate concepts of statistical analysis using the Python programming language. Learners will learn where data come from, what types of data can be collected, study data design, data management, and how to effectively carry out data exploration and visualization. They will be able to utilize data for estimation and assessing theories, construct confidence intervals, interpret inferential results, and apply more advanced statistical modeling procedures.

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  • الإنجليزية
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Business Data Management and Communication

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.

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  • الإنجليزية
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Digital Health

Digital Health

This specialisation introduces students to the emerging and multidisciplinary field of digital health and the role and application of digital health technologies including mobile applications, wearable technologies, health information systems, telehealth, telemedicine, machine learning, artificial intelligence and big data. These digital health technologies are assessed in terms of their opportunities and challenges to address real-world public health and health care system challenges in order to improve the quality, safety and efficiency of these services.

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  • الإنجليزية
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Snowflake for Beginners: Make your First Snowsight Dashboard

Snowflake for Beginners: Make your First Snowsight Dashboard

According to a recent Coursera study(*), there are 7 most in-demand skills in the data world. Among these skills is data management, which refers to the practice of effectively collecting, organizing, storing, and analyzing data. While some organizations will have dedicated data management roles, data analysts often manage data to some degree.

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  • 3 ساعات
  • الإنجليزية
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Excel for Everyone: Data Management

Excel for Everyone: Data Management

Further your Excel skills to manage larger datasets and more complex data wrangling, management and modelling.

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  • الإنجليزية
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Applied Digital Literacy

Applied Digital Literacy

This Specialization is intended for anyone seeking to develop online, internet researching skills along with advanced knowledge of multimedia for the creation of digital objects such as presentations, infographics, posters, commercials, podcasts, and movies.

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  • الإنجليزية
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Lead Management in Salesforce

Lead Management in Salesforce

The second course in the Salesforce Sales Operations Professional Certificate, Lead Management in Salesforce, is for anyone who is curious about entry level sales roles that require foundational skills in Salesforce, the sales operations specialist role specifically, and how to use tools in Salesforce to manage leads in a real world business setting. This second course will give you a foundational understanding of how to help sales and marketing teams optimize the lead management process.

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  • 65 ساعات
  • الإنجليزية
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DataOps Methodology

DataOps Methodology

DataOps is defined by Gartner as "a collaborative data management practice focused on improving the communication, integration and automation of data flows between data managers and consumers across an organization. Much like DevOps, DataOps is not a rigid dogma, but a principles-based practice influencing how data can be provided and updated to meet the need of the organization’s data consumers.” The DataOps Methodology is designed to enable an organization to utilize a repeatable process to build and deploy analytics and data pipelines.

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  • 10 ساعات
  • الإنجليزية
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Healthcare Data Management and Information Systems

Healthcare Data Management and Information Systems

This course is the continuation of the Health Informatics for Healthcare Professionals course. If you have not yet taken the introductory course, it is recommend that you complete that course prior to this course. The foundational knowledge from the introduction is carried through in this deeper dive into informatics in healthcare. In this course, you will have an opportunity to explore concepts and topics related to the design and management of health information systems.

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  • 16 ساعات
  • الإنجليزية
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Data Platform, Cloud Networking and AI in the Cloud

Data Platform, Cloud Networking and AI in the Cloud

The Data Platform course aims to establish a strong foundation, and working knowledge of the fundamentals of data, including data mechanics, databases, and other foundational elements of data processing. This course will drill into the specific data management elements including relational taxonomy of data, data lifecycle and fundamentals databases and data processing and analysis. The course also covers the relevance of IA with respect to data in the cloud.

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  • 7 ساعات
  • الإنجليزية
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Salesforce Integration

Salesforce Integration

Salesforce Integration explores why data management is so important, how Salesforce can help organize and display reported data to gain insight into trends and patterns, and how to automate manual business procedures. Learners will specifically practice creating custom automation process, building work flows, and performing data modeling. The course includes in-depth readings and practical application activities within Salesforce's Trailhead education platform, peer discussion opportunities, demonstration videos, and peer review assignments.

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  • 13 ساعات
  • الإنجليزية
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Create Fault Tolerant MongoDB Cluster

Create Fault Tolerant MongoDB Cluster

In this course, you will create a MongoDB replica set on a single Linux server to become familiar with the setup. There will be three servers, one primary server and two secondary servers. You will then populate the database collection from a csv file using the Mongo shell. You will then retrieve data from the collection to verify the data. Finally, one of the servers will be taken down and you will observe that the data is still available through a new primary server.

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  • 3 ساعات
  • الإنجليزية
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CASL Programming for Distributed Computing in SAS® Viya®

CASL Programming for Distributed Computing in SAS® Viya®

Welcome to the CASL Programming for Distributed Computing in SAS Viya course. SAS Viya is an AI, analytic and data management platform running on a scalable, distributed, cloud-native architecture. In this course you will learn how how to use the native CAS programming language (CASL) to leverage SAS Cloud Analytics Services (CAS), the high-performance, in-memory analytics and distributed computing engine in SAS Viya .

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  • الإنجليزية
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Implementing Connected Planning

Implementing Connected Planning

The Implementing Connected Planning course will be deprecated at the end of January 2025. Please plan to complete all coursework by that time, and save any notes you wish to keep outside of Coursera to ensure future access. From this course, you’ll understand how to make Connected Planning a reality in an organization.

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  • 16 ساعات
  • الإنجليزية
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Oracle Cloud Data Management Foundations Workshop

Oracle Cloud Data Management Foundations Workshop

In this course you will learn how Oracle's cloud data platform extends and complements its core databases. Understand how to architect data management platforms that work together to simplify and maximize productivity, while reducing cost and improving performance, reliability, and security.

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  • 9 ساعات
  • الإنجليزية
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  • الباقة الإبتدائية @ AED 99 + VAT
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Predict Sales Revenue with scikit-learn

Predict Sales Revenue with scikit-learn

In this 2-hour long project-based course, you will build and evaluate a simple linear regression model using Python. You will employ the scikit-learn module for calculating the linear regression, while using pandas for data management, and seaborn for plotting. You will be working with the very popular Advertising data set to predict sales revenue based on advertising spending through mediums such as TV, radio, and newspaper.
By the end of this course, you will be able to:
- Explain the core ideas of linear regression to technical and non-technical audiences

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  • 3 ساعات
  • الإنجليزية
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