Data Analytics with AI Certified Course

Data Analytics with AI is an advanced course that combines traditional data analytics techniques with Artificial Intelligence to transform raw data into meaningful insights and intelligent business decisions. Learners gain practical knowledge of Excel, SQL, Python, Power BI, Tableau, statistics, data visualization, machine learning, Generative AI, and Large Language Models (LLMs). The course focuses on using AI to automate data preparation, identify patterns and trends, generate insights, create intelligent dashboards, perform predictive analytics, and support data-driven decision-making. Through hands-on exercises and real-world projects, learners develop the skills needed to build modern AI-powered analytics solutions for business and industry applications.

Key Features of Course Divine:

• Collaboration with E‑Cell IIT Tirupati
• 1:1 Online Mentorship Platform
• Credit-Based Certification
• Live Classes Led by Industry Experts
• Live, Real-World Projects
• 100% Placement Support
• Potential Interview Training
• Resume-Building Activities

Career Opportunities After Data Analytics with AI:

• Data Analyst
• AI Data Analyst
• Business Intelligence (BI) Analyst
• Business Data Analyst
• Data Visualization Analyst
• Power BI Developer
• Tableau Developer
• Reporting Analyst
• Business Intelligence Developer
• Data Science Associate
• Machine Learning Analyst
• Predictive Analytics Analyst

Essential Skills You Will Develop Data Analytics with AI:

• Data Analysis & Interpretation
• Excel & Advanced Excel
• SQL & Database Management
• Python for Data Analytics
• Statistics & Data Modeling
• Data Cleaning & Preprocessing
• Power BI & Dashboard Development
• Tableau & Data Visualization
• Exploratory Data Analysis (EDA)
• Machine Learning Fundamentals

Tools Covered:

• Microsoft Excel
• Advanced Excel
• SQL
• MySQL
• Python
• Pandas
• NumPy
• Matplotlib
• Seaborn
• Jupyter Notebook

Syllabus:

MODULE 1: DATA ANALYTICS FUNDAMENTALS

• Data Analytics Concepts & Lifecycle
• Types of Data & Analytics
• Business Intelligence & Data-Driven Decision Making

MODULE 2: EXCEL FOR DATA ANALYTICS

• Advanced Excel Functions & Formulas
• Pivot Tables & Data Analysis
• Power Query & Power Pivot

MODULE 3: SQL & DATABASE ANALYTICS

• SQL Queries & Data Filtering
• Joins, Subqueries & CTEs
• Aggregations, Window Functions & Data Analysis

MODULE 4: PYTHON FOR DATA ANALYTICS

• Python Fundamentals
• Pandas & NumPy
• Data Cleaning & Transformation

MODULE 5: EXPLORATORY DATA ANALYSIS

• Data Profiling & Preparation
• Statistical Analysis
• Identifying Patterns, Trends & Outliers

MODULE 6: DATA VISUALIZATION

• Matplotlib & Seaborn
• Charts, Graphs & Interactive Visualizations
• Data Storytelling & Insight Generation

MODULE 7: POWER BI

• Power BI Desktop & Data Connectivity
• Data Modeling & DAX
• Interactive Dashboards & Reports

MODULE 8: TABLEAU & BUSINESS INTELLIGENCE

• Tableau Fundamentals
• Dashboard & Visualization Development
• BI Reporting & Business Insights

MODULE 9: MACHINE LEARNING FOR ANALYTICS

• Machine Learning Fundamentals
• Regression & Classification
• Predictive Analytics & Model Evaluation

MODULE 10: AI FOR DATA ANALYTICS

• Generative AI Fundamentals
• AI-Assisted Data Cleaning & Analysis
• AI-Powered Insights & Automated Reporting

Industry Projects:

• Sales Performance Analytics
• Customer Churn Prediction
• Retail Customer Analytics
• Financial Data Analytics
• Marketing Campaign Analytics
• Healthcare Data Analytics
• Supply Chain Analytics
• Employee Attrition Analytics
• E-Commerce Analytics
• Fraud Detection Analytics
• AI-Powered Business Dashboard

Who is this program for?

• Students & Fresh Graduates
• Aspiring Data Analysts
• Business Analysts
• Working Professionals
• Finance & Marketing Professionals
• IT & Non-IT Professionals
• Business Intelligence Professionals
• Data Professionals Looking to Upskill