AI+ Data™

What's included?
  1. High-Quality Videos and E-Book
  2. AI Mentor for Personalized Guidance
  3. Quizzes, Assessments and Course Resources
  4. Proctored Exam With 1 Free Retake
  5. Exam Study Guide
  6. Hands-on labs 

$495.00

  • modules: 12
  • Examination: 1
  • Examination Time: 50 MCQs, 90 Minutes
  • Passing Score: 70%

About Certification

The AI+ Data™ certification equips professionals with vital skills for data science. It covers key concepts like Data Science Foundations, Statistics, Programming, and Data Wrangling. Participants delve into advanced topics such as Generative AI and Machine Learning, preparing them for complex data challenges. The program includes a hands-on capstone project focusing on Employee Attrition Prediction. Emphasis is placed on Data-Driven Decision-Making and Data Storytelling for actionable insights. Personalized mentorship, immersive projects, and cutting-edge resources ensure a transformative learning journey, preparing individuals for success in AI and data science.

Prerequisites

  • 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.

Certification Modules

  1. Course Introduction Preview
  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

Certification outcome

Upon successful completion of the AI+ Data™ certification, students will acquire a comprehensive grasp of foundational data science principles and methodologies. They will proficiently analyze, model, and extract insights from intricate datasets. Through hands-on practice in Python and R, participants will master data manipulation, visualization, and modeling techniques. They'll explore diverse data sources and storage technologies, honing skills in data wrangling and exploratory analysis for informed decision-making. By delving into advanced topics like generative AI and ensemble learning, students will tackle complex data challenges. Furthermore, they'll refine communication skills, effectively conveying data insights through storytelling and visualization. Real-world projects, including an employee attrition prediction capstone, will showcase their ability to derive actionable solutions from data.

Market Insight
High demand exists for AI and data science professionals proficient in Python, R, and advanced analytics. Effective communicators who can tackle real-world challenges like predicting employee attrition are highly sought after in today's competitive job market.
Value Proposition
Elevate your career in AI and data science with our hands-on course. Master Python, R, and advanced analytics to tackle real-world challenges like predicting employee attrition. Gain expertise from industry leaders and unlock lucrative opportunities in the dynamic field of data driven decision-making.
Additional Features
Our course goes beyond mastering Python, R, and advanced analytics. Enjoy personalized mentorship, immersive projects, and access to a dynamic online platform. Stay ahead with exclusive guest lectures and workshops, ensuring you're at the forefront of AI and data science trends.