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Data Science & AI

AI Integrated Data Analytics Program

  • Live instructor-led course
  • Internship with live projects
  • Industry-relevant curriculum
  • Online and Offline training available
  • Placement support until you get placed

Become a Data Analytics expert with Kerala's leading IT training institute. Master data analysis, data mining, and predictive analytics through our comprehensive online and offline Data Analytics courses available in Kochi, Ernakulam, Calicut, Trivandrum, and Kottayam. Gain practical experience with hands-on projects and industry-relevant tools like Python, Excel, and Power BI. Secure your career with our dedicated placement support. Enrol now for the best Data Analytics certification course in Kerala and unlock exciting opportunities in the world of data-driven insights!

  • Beginner
  • English
  • 3 Months
Course Overview

The Professional Data Analytics with AI & R Programming course equips learners with practical skills in data analysis, visualization, statistical computing, and AI-assisted analytics using tools such as Excel, Tableau, Power BI, Python, SQL, and R Programming. The program includes hands-on projects, dashboard development, machine learning basics, and real-world analytics applications to build industry-ready skills for careers in Data Analytics, Business Analytics, and Reporting.

What you’ll learn
  • Data Analytics Fundamentals
  • Data Cleaning & Preprocessing
  • Excel Analytics & AI Features
  • Tableau & Power BI Dashboards
  • SQL & Database Analysis
  • R Programming & Statistics
  • Machine Learning & Predictive Analytics
  • AI Tools & Real-world Projects
Understanding Data and Types of Data
Structured, Semi-Structured, and Unstructured Data
Data Formats: CSV, JSON, Excel, Databases
Data Analytics Lifecycle
Types of Analytics
Data Collection Methods
Data Cleaning Concepts
Introduction to Data Visualization
Storytelling with Data
Excel Interface & Data Handling
Data Cleaning Techniques
Functions & Formulas
Data Transformation
Pivot Tables & Pivot Charts
Descriptive Statistics
Dashboard Creation
Interactive Reports
AI Features in Excel
Forecast Sheet & Pattern Recognition
Tableau Fundamentals
Connecting Data Sources
Data Preparation
Data Visualization Techniques
Calculated Fields
Dashboard Development
Forecasting & Clustering
Geographic Analysis
Business Case Studies
Power BI Fundamentals
Data Import & Transformation
Data Modeling Concepts
DAX Basics
Dashboard Development
Interactive Reports
Power BI Service
AI Features in Power BI
Business Case Studies
Python Basics
Variables and Data Types
Control Structures
Functions & Error Handling
Data Structures
File Handling
Introduction to Libraries
Machine Learning Basics
Scikit-learn Fundamentals
NumPy Arrays
Array Operations
Mathematical Functions
Multi-dimensional Arrays
Dataset Loading & Saving
Performance Optimization
Series & DataFrames
Data Manipulation
Data Cleaning Techniques
Aggregation & Grouping
Merging Datasets
Visualization with Pandas
Statistical Analysis
Time Series Basics
Database Concepts
SQL Fundamentals
Filtering & Sorting
Joins & Aggregations
Subqueries
CASE Statements
Window Functions
SQL for Reporting
Introduction to R Programming
R Environment Setup & RStudio
Variables, Data Types & Operators
Vectors, Lists, Matrices, Data Frames
Conditional Statements & Loops
Functions in R
Reading CSV & Excel Files
Data Cleaning in R
Data Manipulation using dplyr
Data Visualization using ggplot2
Descriptive Statistics in R
Correlation Analysis
Basic Predictive Analysis
Statistical Analysis using R
Mini Project using R Programming
Introduction to Artificial Intelligence
Machine Learning Workflow
Supervised vs Unsupervised Learning
Train/Test Split Concepts
Regression & Classification Basics
Clustering Concepts
Hands-on Projects
  • Dashboard Projects
  • Data Analysis Projects
AI-Based Projects (Mandatory)
  • Customer Churn Prediction
  • Sales Forecasting
  • Basic Recommendation System
  • Predictive Analytics Project
Capstone Project
  • End-to-End Business Analytics Project using AI + Visualization + Reporting .

This structure keeps Excel → Tableau → Power BI → Python → SQL → R → AI in a logical progression and makes the course stronger for both industry and academic use.

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Dr. Mendus Jacob

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CEO & MD
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Dr. Sunil Job K…

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Chief of Academics
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Dr. Sijo Thomas

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Chief Technology Officer
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Faizal B

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Senior Research Engine…
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Alphy Mathew

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Research Engineer
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Sumitha T

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Sr. Software Consultant…
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Navya K Das

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Team Lead - Software Di…
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Jissmol Jose

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Junior Research Engineer
Frequently Asked Questions

This course aims to develop practical skills in Data Analytics, Data Visualization, AI-assisted analysis, and predictive analytics using tools such as Excel, Tableau, Power BI, Python, SQL, and R Programming.

No. The course starts with basic concepts and gradually covers Python, SQL, and R Programming, making it suitable for beginners, students, and working professionals.

Learners will gain hands-on experience with Excel, Tableau, Power BI, Python, NumPy, Pandas, SQL, R Programming, AI tools, and basic Machine Learning concepts.

Yes. The course includes dashboard projects, data analysis tasks, AI-based projects, and real-world case studies to provide practical industry exposure.

After completion, learners can pursue roles such as Data Analyst, Business Analyst, Reporting Analyst, Junior Data Scientist, BI Analyst, and AI-assisted Analytics Professional.
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