Analytics - Projects & Jobs

Check out Sample Remote Projects & Remote Jobs Posted in AiDOOS

Front-End Architect

Design and implementation of application integration with corporate IAM services for authe

Design and development of software components and building blocks in modern Web 2.0 front

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Director, Product Management

Communicate product strategy, priorities, and roadmaps to all stakeholders, aligning on ou

Lead improving team and cross-functional processes

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Senior Front End Engineer

You will have complete autonomy and ownership of what you build and are involved right fro

You should be self-aware, have strong interpersonal skills, enjoy working in a highly coll

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Senior Back- end Developer, Ruby... Senior Back- end Developer, Ruby

The ideal candidate will thrive in a dynamic environment and have experience with building

Strong commitment to metrics driven product development, with a disciplined and analytical

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C++ Software Platform Engineer

We are looking for experienced Software Platform Engineer candidates capable of developing

Optimize existing code to ensure efficient, low-latency execution

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Remote Lead Software Engineer - ... Remote Lead Software Engineer - Python

Build scalable data pipelines that integrate multiple data sources (both internal and exte

You'll work on developing a micro-services system to provide research-backed data analytic

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AI-driven real-estate platform

To revolutionize real estate investment through advanced AI, offering personalized insight

Empower global investors with AI-driven predictions, providing unparalleled transparency,

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Internship: Sentiment Analysis M... Internship: Sentiment Analysis Model

Build a sentiment analysis model that determines the sentiment (positive, negative, neutra

Internship certificates are provided and selected submissions are rewarded.

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Internship: Timesheet Management... Internship: Timesheet Management System

Develop a Timesheet Management System with a user-friendly calendar interface.

Internship certificates are provided and selected submissions are rewarded.

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Internship: Automated Email Engi... Internship: Automated Email Engine

An automated email system capable of sending, managing, and tracking emails automatically.

Internship certificates are provided and selected submissions are rewarded.

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Internship: Asset Management Sys... Internship: Asset Management System

Develop an Asset Management System to manage and track all the assets of an organization.

Internship certificates are provided and selected submissions are rewarded.

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Internship: Alumni Management

Alumni Management app for colleges and institutes to create a digital hub that enhances al

Internship certificates are provided and selected submissions are rewarded.

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AiDOOLOGY

AiDOOS Methodology, referred to as AiDOOLOGY, forms the bedrock of AiDOOS by outlining the systematic approach to platforming services and knowledge-based tasks. Brilliant minds spanning the globe collaborate, forming teams to provide enterprises with exceptional solutions, all within a straightforward, streamlined, secure, and dependable process.

Analytics

Analytics involves the collection, analysis, and interpretation of data to make informed decisions and gain insights into various areas such as business operations, user behavior, and performance. It encompasses a range of technologies, tools, and techniques that enable organizations to derive value from data.

Technologies in Analytics

There are several technologies and tools employed in analytics, including:

  • Big Data Tools: These include Hadoop, Spark, and NoSQL databases, among others.
  • Data Visualization: This includes tools such as Tableau, QlikView, and Microsoft Power BI.
  • Programming Languages: Commonly used languages include Python, R, and SQL.
  • Machine Learning: This involves the use of algorithms and statistical models to enable machines to learn from data.
  • Predictive Analytics: This involves predicting future outcomes using historical data and machine learning models.

Becoming an Analytics Expert

To become an analytics expert, one would typically need a degree in mathematics, statistics, computer science, or a related field. However, many organizations now train their employees in analytics, and there are several online courses and certifications available for those who want to upskill or transition into the field.

Resources and Opportunities

There are several resources available for those who want to learn more about analytics. These include online courses, books, blogs, and forums. Some of the popular online course providers include Coursera, edX, and Udemy.

The demand for analytics professionals is high, and there are several opportunities available in various industries such as healthcare, finance, retail, and e-commerce, among others.

Aspects of Analytics

The different aspects of analytics include:

  • Descriptive Analytics: This involves analyzing historical data to gain insights into past performance.
  • Predictive Analytics: This involves using statistical models to predict future outcomes based on historical data.
  • Prescriptive Analytics: This involves recommending actions based on predictions made by predictive analytics models.
  • Diagnostic Analytics: This involves analyzing data to understand the root cause of a problem.