Data Analysis By AI

Data Analysis By AI

Scholarship for Engineers


Provided by

Brooklyn Business School


Certifications

Certified from Brooklyn Business School

Accredited by Brooklyn Institute – USA

The Certificate in Data Analysis by Artificial Intelligence (DAI) equips participants with the skills to unlock the power of AI-driven data analysis in today’s data-centric world. This program is designed to help professionals and students learn how to analyze, interpret, and visualize large-scale datasets using cutting-edge AI techniques and tools.

Key Features of the Program
  • Curriculum: Focuses on AI-based techniques such as machine learning, data mining, and statistical modeling. Participants will explore both structured and unstructured data, apply predictive analytics, and conduct exploratory data analysis.
  • Hands-On Learning: Practical projects with real-world datasets, applying AI algorithms to solve business and industry challenges.
  • Tools & Technologies: Training on leading platforms including Python, R, TensorFlow, Tableau, and Power BI.
  • Industry Relevance: Tailored for applications in finance, e-commerce, healthcare, and business analytics.
  • Skill Development: Strengthens critical thinking, problem-solving, and technical expertise for careers as data analysts, data scientists, AI specialists, and business analysts.
  • Certification: Globally recognized credential proving ability to apply AI-powered data analysis techniques, valued by employers across multiple industries.

The program curriculum integrates data analysis skills with management fundamentals, ensuring both technical depth and business acumen:

  • Data analysis Management (MiniTab)
  • Data analysis Management by AI (Power Bi , tableau )
  • Business Analytics (Minitab)
  • Digital Transformation
  • AI Automation
  • Project in Data Analysis by AI

Transform Your Career with Data & AI

The DAI Certification Program provides learners with the expertise to thrive in a data-driven economy by combining artificial intelligence, analytics, and visualization techniques.

Key Learning Objectives

By the end of the Data Analysis by AI (DAI) Program, participants will be able to:

  • Master Data Processing Techniques: Collect, clean, and preprocess both structured and unstructured datasets for accurate analysis.
  • Apply AI Algorithms in Data Analysis: Use machine learning, neural networks, and deep learning to uncover trends, patterns, and actionable insights.
  • Perform Predictive Analytics: Leverage AI-powered predictive models to forecast business outcomes, market behaviors, and customer needs.
  • Conduct Exploratory Data Analysis (EDA): Explore and visualize complex datasets to generate hypotheses and support decision-making.
  • Utilize Advanced Tools & Technologies: Gain hands-on experience with Python, R, TensorFlow, Tableau, and Power BI for real-world analytics projects.
  • Visualize & Communicate Insights: Develop the ability to present data effectively using visualization and reporting tools to support strategic business decisions.
  • Solve Real-World Challenges with AI: Apply AI techniques to address problems in industries such as finance, e-commerce, marketing, and healthcare.
  • Automate Decision-Making: Implement AI systems that enable organizations to streamline operations and support smarter, faster decisions.
  • Integrate Business & Technical Knowledge: Combine data science expertise with management fundamentals like project management, TQM, and Lean Six Sigma.
  • Advance Career Opportunities: Position yourself as a skilled data analyst or AI specialist with a globally recognized certification valued by employers across industries.

  • Future-Ready Data Skills: Gain the expertise to analyze, interpret, and visualize complex datasets using AI-powered tools and techniques.
  • Advanced AI Applications: Learn to apply machine learning, deep learning, and predictive analytics to solve real-world business and industry problems.
  • Hands-On Learning: Work directly with Python, R, TensorFlow, Tableau, and Power BI, applying them to real datasets for practical experience.
  • Cross-Industry Relevance: Build skills tailored for finance, e-commerce, healthcare, marketing, and business analytics, making you competitive across sectors.
  • Data-Driven Decision Making: Acquire the ability to transform raw data into actionable business insights that support smarter strategies.
  • Comprehensive Curriculum: Combine technical depth in data science with management fundamentals like TQM, Lean Six Sigma, and project management.
  • Visualization Expertise: Master data visualization and reporting tools to communicate insights effectively to stakeholders and executives.
  • Automation & Efficiency: Learn to implement AI-powered systems that streamline operations and accelerate business decision-making.
  • Career Advancement: Earn a globally recognized certification that validates your skills and positions you for roles such as data analyst, data scientist, AI specialist, or business analyst.
  • Flexible Scholarship Opportunities: Access generous scholarships covering up to 100% of tuition fees, making the program widely accessible.

Generous scholarship opportunities are available, covering 75%, 80%, 85%, 90%, or even 100% of tuition fees, based on your degree, academic performance, and professional work experience.