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AI+ Data™

# AT-120

Mastering Artificial Intelligence and Advanced Data Science: Your Path to Innovation

The AI+ Data™ certification provides professionals with cutting-edge skills in Data Science and Artificial Intelligence (AI). Covering key concepts like Data Science Foundations, Statistics, Python Programming, and Data Wrangling, participants gain practical knowledge to excel in a data-driven world. Advanced topics such as Generative AI, Machine Learning, and Predictive Analytics prepare learners for solving complex challenges. This program includes a capstone project on Employee Attrition Prediction, emphasizing Data-Driven Decision-Making and Compelling Data Storytelling for actionable business insights. With personalized mentorship, hands-on projects, and immersive resources, learners are equipped for success in AI and Data Science careers.

$495.00

What’s included?

One-year subscription (with all updates):

High-Quality Videos and E-Book
AI Mentor for Personalized Guidance
Quizzes, Assessments and Course Resources
Proctored Exam With 1 Free Retake
Exam Study Guide
Hands-on labs

Prerequisites

Basic Understanding of Computer Science: Familiarity with programming and statistics (beneficial but not mandatory).
Interest in Data Analytics: A keen passion for analyzing data trends and solving real-world problems.
Willingness to Learn Python and R: Basic programming skills help, but the program is designed to support beginners.

Exam Details

What Will You Learn?

Advanced Data Analysis Techniques

Learn to manage, preprocess, and analyze data using statistical methods and exploratory techniques to uncover insights.

Generative AI and Machine Learning

Employ advanced AI tools and machine learning algorithms for deriving deeper insights and developing predictive models.

Programming and Machine Learning Proficiency

Build strong programming skills in Python and R, applying them to foundational and advanced machine learning techniques.

Data Storytelling and Decision-Making

Master the art of presenting data effectively and making informed, data-driven business decisions.

Certification Modules

Certification Overview

Course Introduction Preview

Module 1: Foundations of Data Science

1.1 Introduction to Data Science
1.2 Data Science Life Cycle
1.3 Applications of Data Science

Module 2: Foundations of Statistics

2.1 Basic Concepts of Statistics
2.2 Probability Theory
2.3 Statistical Inference

Module 3: Data Sources and Types

3.1 Types of Data
3.2 Data Sources
3.3 Data Storage Technologies

Module 4: Programming Skills for Data Science

4.1 Introduction to Python for Data Science
4.2 Introduction to R for Data Science

Module 5: Data Wrangling and Preprocessing

5.1 Data Imputation Techniques
5.2 Handling Outliers and Data Transformation

Module 6: Exploratory Data Analysis (EDA)

6.1 Introduction to EDA
6.2 Data Visualization

Module 7: Generative AI Tools for Deriving Insights

7.1 Introduction to Generative AI Tools
7.2 Applications of Generative AI

Module 8: Machine Learning

8.1 Introduction to Supervised Learning Algorithms
8.2 Introduction to Unsupervised Learning
8.3 Different Algorithms for Clustering
8.4 Association Rule Learning with Implementation

Module 9: Advance Machine Learning

9.1 Ensemble Learning Techniques
9.2 Dimensionality Reduction
9.3 Advanced Optimization Techniques

Module 10: Data-Driven Decision-Making

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

Module 11: Data Storytelling

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

Module 12: Capstone Project - Employee Attrition Prediction

12.1 Project Introduction and Problem Statement
12.2 Data Collection and Preparation
12.3 Data Analysis and Modeling
12.4 Data Storytelling and Presentation

Industry Opportunities after Certification Completion

Median Salaries

$86,015

With AI+ Data™

$145,407

% Difference

AI Engineer

Develop intelligent systems, optimize AI algorithms, program neural networks, and ensure ethical AI deployment.

AI Data Analyst

Interpret data, generate actionable insights, and create visualizations to support strategic decisions.

AI Data Scientist

Analyze complex datasets, build predictive models, and leverage statistical methods for impactful insights.

AI Machine Learning Engineer

Design and implement scalable machine learning systems and optimize data pipelines for production-ready applications.

Learner Success Stories

AI+ Executive™ Instructor Guide Certificate. Today, I am part of the team of #CompuEducación instructors to teach the #AICerts AI+Executive certification course . This 8-hour course is a new standard for business leaders…

Doug F,

Company Owner

AI+ Executive™

As VP Operations, my recent completion of the AI+ Executive exam through AI CERTs was a pivotal step in advancing my AI skill set as we embrace an AI-driven future. This certification not only deepened my understanding of AI’s broad…

Georgia L,

Training Director

AI+ Executive™

Happy to share I’ve completed the AI+ Executive Certification from AI CERTs! This program has sharpened my skills in strategic AI application + implementation, further equipping me to lead AI-driven organizational transformation.

Marc H,

AI+ Executive™

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Frequently Asked Questions

What are the key components of the AI+ Data™ certification?

The certification covers Data Science Foundations, Statistics, Programming, and Data Wrangling, along with advanced subjects such as Generative AI and Machine Learning.

How does this certification prepare participants for data challenges?

Participants are prepared for complex data challenges through immersive projects, e-learning resources, and access to cutting-edge tools.

What are the career opportunities after completing this certification?

Graduates of this program can pursue various roles such as Data Scientist, Machine Learning Engineer, AI Specialist, Data Analyst, and other related positions in the field of AI and data science.

What skills will I gain from this certification?

You will gain skills in Data-Driven Decision-Making, Data Storytelling for actionable insights, and proficiency in key areas of data science and AI.

Can I pursue this course while working full-time?

Yes, the course is designed to be flexible and can be pursued alongside full-time work. The online format allows participants to learn at their own pace and manage their study schedules according to their availability.

AI+ Data™

# AT-120

Prerequisites

Exam Details

What Will You Learn?

Certification Modules

Industry Opportunities after Certification Completion

Learner Success Stories

Recommended Certifications

AI+ Cloud™

AI+ Robotics™

AI+ Security Level 2™

AI+ Researcher™

AI+ Architect™

AI+ Security Compliance™

AI+ Ethical Hacker™

AI+ Learning & Development™

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