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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

High-Quality Video, E-book & Audiobook

Modules Quizzes

AI Mentor

Access for Tablet & Phone

Certificate of Completion

LABs Practices

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

Exam Blueprint

Modules	Percentage
Foundations of Data Science	5
Foundations of Statistics	5
Data Sources and Types	6
Programming Skills for Data Science	10
Data Wrangling and Preprocessing	10
Exploratory Data Analysis	12
Generative AI Tools for Deriving Insights	6
Machine Learning	10
Advance Machine Learning	10
Data-Driven Decision-Making	10
Data Storytelling	6
Capstone Project – Employee Attrition Prediction	10

Self Study Materials Included

Videos

Engaging visual content to enhance understanding and learning experience.

Podcasts

Insightful audio sessions featuring expert discussions and real-world cases.

Audiobooks

Listen and learn anytime with convenient audio-based knowledge sharing.

E-Books

Comprehensive digital guides offering in-depth knowledge and learning support.

Labs

Interactive lab sessions to apply concepts and strengthen technical skills.

Module Wise Quizzes

Interactive assessments to reinforce learning and test conceptual clarity.

Additional Resources

Listen and learn anytime with convenient audio-based knowledge sharing.

Tools You'll Master

Google Colab

MLflow

Alteryx

KNIME

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

Course 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

Optional Module: AI Agents for Data Analysis

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

Earn a Shareable Certificate

Add to LinkedIn under "Licenses & Certifications"

Showcase your expertise to potential employers and professional connections.

Download a Verified Certificate - Blockchain

Your certificate is secured on the blockchain for tamper-proof authenticity and can be downloaded as a high-quality PDF for personal records or professional sharing.

Share on social media

Celebrate your accomplishment with your network on all social platforms.

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.

Trusted Reviews by Our Learners

Mirza Imaduddin

B.Tech Electronics Engineering | Data Engineering Enthusiast | Research Intern @ IIT Jammu |

I am officially AI+ Data™ Self-Paced Learning Certified. Equipped to lead in the era of innovation and technology.

Samant Raj

Aspiring Data Analyst || Python || SQL || Power BI || MS Excel || Data Visualization || Data Modelling

I am officially AI+ Data™ Self-Paced Learning Certified! Equipped to lead in the era of innovation and technology!AI CERTs™

Arushi Markand

Associate Research Analyst Intern|MBA (Business Analytics)|MSc. Data Science|BSc. (Economics, Mathematics, Statistics)

Happy to share that I have recently earned a certificate in AI + DATA. Thank you for this opportunity AICERT.

Yanumula Rohith

CSE Student at VIT | FFE Scholar | AWS Certified Solution Architect Associate | Completed Advanced Data Science Specialization with

I am officially AI+ Data™ Self-Paced Learning Certified! Equipped to lead in the era of innovation and technology from AI CERTs™

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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?

The certification provides participants with the necessary tools and skills to handle complex data challenges, such as cleaning, transforming, and analyzing data.

What are the career opportunities after completing this certification?

Graduates of the AI+ Data™ certification program can pursue roles such as Data Scientist, Machine Learning Engineer, Data Analyst, AI Consultant, and other data-driven positions.

What skills will I gain from this certification?

Participants will gain skills in data analysis, machine learning, data visualization, data wrangling, and predictive analytics, along with proficiency in Python and R.

Can I pursue this course while working full-time?

Yes, the AI+ Data™ certification is designed to be flexible and can be pursued while working full-time. The course materials are available online.

AI+ Data™

# AT-120

Prerequisites

Exam Details

Exam Blueprint

Self Study Materials Included

Tools You'll Master

What Will You Learn?

Certification Modules

Earn a Shareable Certificate

Industry Opportunities after Certification Completion

Trusted Reviews by Our Learners

Mirza Imaduddin

Samant Raj

Arushi Markand

Yanumula Rohith

Recommended Certifications

AI+ Supply Chain™

AI+ Healthcare™

AI+ Network™

AI+ Engineer™

AI+ Security Level 3™ Examination

AI+ Policy Maker™

AI+ Robotics™

AI+ Ethics™

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