Mastering AI, Maximizing Data: Your Path to Innovation ">
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AI+ Data™ (AI+ Data™)

Mastering AI, Maximizing Data: Your Path to Innovation

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    0 Learners
    Industry Recognized
    Certification Body AI CERTs
    Delivery Profice
Course CodeAI+ Data™
Duration40 hours of content
Deliveryself paced

About This Course

Mastering AI, Maximizing Data: Your Path to Innovation

  • Core Concepts Covered: Data Science foundations, Python, Statistics, and Data Wrangling
  • Advanced Topics: Dive into Generative AI, Machine Learning, and Predictive Analytics
  • Capstone Application: Solve real-world problems like employee attrition with AI
  • Career Readiness: Develop skills for AI-driven data science roles with hands-on mentorship

Course Syllabus

  1. Course Introduction

  1. 1.1 Introduction to Data Science
  2. 1.2 Data Science Life Cycle
  3. 1.3 Applications of Data Science

  1. 2.1 Basic Concepts of Statistics
  2. 2.2 Probability Theory
  3. 2.3 Statistical Inference

  1. 3.1 Types of Data
  2. 3.2 Data Sources
  3. 3.3 Data Storage Technologies

  1. 4.1 Introduction to Python for Data Science
  2. 4.2 Introduction to R for Data Science

  1. 5.1 Data Imputation Techniques
  2. 5.2 Handling Outliers and Data Transformation

  1. 6.1 Introduction to EDA
  2. 6.2 Data Visualization

  1. 7.1 Introduction to Generative AI Tools
  2. 7.2 Applications of Generative AI

  1. 8.1 Introduction to Supervised Learning Algorithms
  2. 8.2 Introduction to Unsupervised Learning
  3. 8.3 Different Algorithms for Clustering
  4. 8.4 Association Rule Learning with Implementation

  1. 9.1 Ensemble Learning Techniques
  2. 9.2 Dimensionality Reduction
  3. 9.3 Advanced Optimization Techniques

  1. 10.1 Introduction to Data-Driven Decision Making
  2. 10.2 Open Source Tools for Data-Driven Decision Making
  3. 10.3 Deriving Data-Driven Insights from Sales Dataset

  1. 11.1 Understanding the Power of Data Storytelling
  2. 11.2 Identifying Use Cases and Business Relevance
  3. 11.3 Crafting Compelling Narratives
  4. 11.4 Visualizing Data for Impact

  1. 12.1 Project Introduction and Problem Statement
  2. 12.2 Data Collection and Preparation
  3. 12.3 Data Analysis and Modeling
  4. 12.4 Data Storytelling and Presentation

  1. 1. Understanding AI Agents
  2. 2. Case Studies
  3. 3. Hands-On Practice with AI Agents

All You Need to Know

  • Data Analysts & Scientists: Enhance data analysis capabilities using AI for predictive modeling and decision-making.
  • Business Intelligence Professionals: Leverage AI to uncover insights, trends, and opportunities in complex data sets.
  • IT Specialists & System Integrators: Implement AI-powered solutions to optimize data management and infrastructure.
  • Data Engineers: Design and develop AI-driven data pipelines and architectures for scalable solutions.
  • Students & New Graduates: Build valuable AI and data science skills to thrive in an increasingly data-driven world.
  • Basic knowledge of computer science and statistics (beneficial but not mandatory).
  • Keen interest in data analysis.
  • Willingness to learn programming languages such as Python and R.
50 questions, 70% passing, 90 minutes, online proctored exam

Why Choose Profice?

Official Partner

Authorized Training Partner delivering official certified curriculum

Expert Instructors

Certified professionals with 10+ years of real-world experience

Hands-on Labs

Real-world projects and 24/7 lab environment access

95% Pass Rate

Industry-leading certification exam success rate

Lifetime Support

Ongoing mentorship and community access after course completion

Job Assistance

Dedicated placement support with 500+ hiring partners

Official Training Partner

Profice is an official training partner delivering globally recognized certifications.