AI+ Data™

Mastering AI, Maximizing Data: Your Path to Innovation

Certificate Code: AT-120

Duration: 40 hours (5 Days)

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Course Metrics Prerequisites Curriculum Outcomes Opportunities Salary Comparison FAQs Enroll

14+

Modules

40 hours (5 Days)

Duration

50 MCQs, 90 Minutes

Examination

70% (35/50)

Passing Score

About This Certification

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

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.

Tools Covered

Google Colab

MLflow

Alteryx

KNIME

Course Curriculum

14 Modules 40 hours (5 Days)

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

Exam Blueprint

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%

Learning Outcomes

Advanced Data Analysis Techniques

Learners will acquire skills in managing, preprocessing, and analyzing data using statistical methods and exploratory techniques to uncover insights and patterns.

Programming and Machine Learning Proficiency

Students will develop strong programming skills necessary for data science, along with foundational and advanced machine learning techniques to build predictive models.

Application of Generative AI and Machine Learning

Learners will learn to employ generative AI tools and machine learning algorithms to derive deeper insights from data, enhancing their analytical capabilities.

Data-Driven Decision Making and Storytelling

Students who goes through this course will get the ability to make informed decisions based on data analysis and effectively communicate findings through compelling data storytelling.

Career Opportunities

AI Data Scientist

Analyzes complex data to extract insights, builds predictive models, employs statistical methods, and communicates findings to influence decision-making.

AI Machine Learning Engineer

Designs and develops machine learning systems, implements algorithms, optimizes data pipelines, and integrates models into scalable, production-ready applications.

AI Engineer

Develops artificial intelligence solutions, programs neural networks, optimizes AI algorithms, ensures ethical AI deployment, and troubleshoots AI systems.

AI Data Analyst

Interprets data, generates reports, identifies trends, supports business decisions with actionable insights, and utilizes visualization tools to present data.

Salary Potential

Without AI Skills

$86,015

With AI Skills

$145,407

69% Higher Earning Potential

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.

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