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⭐ 4.9 Google Rating · ISO 9001:2015 Certified

Data Analytics Course in Kochi With Gen AI

Build a High-Growth Career in Data Analytics in Just 8 Months

8 Months Mon – Fri Online & Offline 4.9★ 2000+ Placed
8 Months Duration
Mon – Fri Schedule
Online & Offline Mode
4.9★ Google Rating
2000+ Placed Alumni

About This Course

The Data Analytics with Generative AI program at Techolas Kochi is an 8-month, industry-designed training course that prepares freshers and career switchers in Kochi and Ernakulam for high-demand data roles. You will master Excel, SQL, Python, Tableau, Power BI, Machine Learning, Web Scraping, and Generative AI tools — the complete analytics stack used by Data Analysts, BI Analysts, and Business Analysts at leading IT and consulting firms in Kerala and beyond.
Delivered in small, mentor-led batches from our campus in Ernakulam, Kochi, with online and offline flexibility, the program is hands-on from day one — combining real industry projects with dedicated placement support. Our graduates from Kochi consistently secure roles within 4–6 weeks of completing the course. With a 95% placement success rate and 2,000+ alumni placed, Techolas Kochi is Ernakulam's most trusted destination for Data Analytics training.
What You'll Learn
  • Build strong foundations in data analytics and statistics
  • Develop proficiency in SQL and Python for data processing
  • Enable automation through web scraping and AI tools
  • Train learners in dashboard development using BI platforms
  • Introduce machine learning for predictive analytics
  • Integrate Generative AI for enhanced analytical productivity
  • Provide foundational knowledge of cloud deployment
  • Develop industry-ready portfolio projects
Tools You'll Master
Excel SQL Python R Tableau Power BI Machine Learning

Course Curriculum

Data drives businesses; GenAI accelerates them. To stand out in this high-demand field, you need more than traditional theory—you need the cutting-edge skills recruiters are actively hunting, from advanced data modeling to AI-driven insights.

01
PYTHON FUNDAMENTALS
Basics of Python
  • Variables and data types
    Lecture
  • Control flow statements
    Hands-on
  • Functions and file handling
    Hands-on
  • Error handling
    Lecture
02
SQL
Fundamentals of DBMS
  • Introduction to databases and relational models
    Theory
  • Writing SELECT queries
    Hands-on
  • Filtering and sorting data
    Hands-on
  • Aggregate functions (SUM, COUNT, AVG, MIN, MAX)
    Hands-on
  • GROUP BY and HAVING clauses
    Hands-on
  • Joins (Inner, Left, Right, Full)
    Hands-on
  • Subqueries and views
    Lecture
  • Window functions
    Lecture
  • Basic query optimization
    Lecture
  • Generating SQL queries using Generative AI
    Hands-on
  • Optimizing queries through AI suggestions
    Hands-on
  • Debugging SQL errors with AI support
    Hands-on
  • Customer and Sales Analytics Database Project.
    Hands-on
03
Statistics
The mathematical backbone of Analytics
  • Types of data (categorical and numerical)
    Theory
  • Measures of central tendency (mean, median, mode)
    Lecture
  • Measures of dispersion (variance, standard deviation)
    Lecture
  • Probability fundamentals
    Lecture
  • Correlation and basic regression concepts
    Lecture
  • Hypothesis testing principles
    Lecture
04
Python Libraries
Explaining the libraries used in real-world data analysis
  • Numpy : Arrays and vectorized operations
    Hands-on
  • Numpy : Mathematical and statistical functions
    Hands-on
  • Numpy : Performance optimization
    Hands-on
  • Pandas : Series and DataFrames
    Hands-on
  • Pandas : Data cleaning and transformation
    Hands-on
  • Pandas : Handling missing values
    Hands-on
  • Pandas : GroupBy and aggregation
    Hands-on
  • Pandas : Data manipulation techniques
    Hands-on
  • Matplotlib,Seaborn : Charts
    Hands-on
  • Matplotlib,Seaborn : Customization
    Hands-on
  • Generating Python scripts using AI
    Hands-on
  • Debugging and optimizing code
    Hands-on
  • AI-generated EDA summaries
    Hands-on
  • Exploratory Data Analysis Report.
    Hands-on
05
Machine Learning
Predictive and Clustering techniques used in Analytics.
  • ML Foundations : Machine learning workflow
    Theory
  • ML Foundations : Train-test split
    Lecture
  • ML Foundations : ML Foundations
    Lecture
  • Supervised Learning : Linear regression
    Hands-on
  • Supervised Learning : Logistic regression
    Hands-on
  • Supervised Learning : Decision trees
    Hands-on
  • Supervised Learning : K-Nearest Neighbors
    Hands-on
  • Supervised Learning : Ensemble Learning
    Hands-on
  • Unsupervised Learning : K-Means clustering
    Hands-on
  • Unsupervised Learning : Hierarchical clustering
    Hands-on
  • Unsupervised Learning : Principal Component Analysis
    Hands-on
  • Reinforcement Learning : Agent and environment concepts
    Hands-on
  • Reinforcement Learning : Business use cases
    Hands-on
  • Using AI to interpret results
    Hands-on
  • Generating automated performance summaries
    Hands-on
06
BI Tools with AI Enhancement
Professional dashboarding skills with AI-powered enhancements.
  • Tableau : Data connection and blending
    Hands-on
  • Tableau : Calculated fields
    Hands-on
  • Tableau : Filters and parameters
    Hands-on
  • Tableau : Interactive dashboard creation
    Hands-on
  • Power BI : Data modeling
    Hands-on
  • Power BI : DAX fundamentals
    Hands-on
  • Power BI : Report development
    Hands-on
  • Power BI : Publishing dashboards
    Hands-on
  • Power BI : Natural language queries
    Hands-on
  • Power BI : AI-generated visuals
    Hands-on
  • Power BI : AI-assisted DAX creation
    Hands-on
  • Power BI : Automated insight explanations
    Hands-on
  • Power BI : Scenario and what-if analysis
    Hands-on
  • Excel : interface and workbook structure
    Lecture
  • Excel : Data types and formatting
    Hands-on
  • Excel : Logical, text, date, and lookup functions
    Hands-on
  • Excel : Data cleaning techniques using formulas
    Hands-on
  • Excel : Pivot tables and pivot charts
    Hands-on
  • Excel : Interactive dashboards using slicers and visual elements
    Hands-on
  • Excel : Generating formulas using natural language prompts
    Hands-on
  • Excel : AI-driven data summarization and insights
    Hands-on
  • Excel : Automated pivot creation
    Hands-on
  • Excel : Trend detection and anomaly identification
    Hands-on
  • Excel : AI-assisted dashboard recommendations
    Hands-on
07
Generative AI & AI Agents
Integrates Generative AI into analytics workflows.
  • Generative AI : Introduction to NLP
    Lecture
  • Generative AI : Tokenization
    Lecture
  • Generative AI : Embeddings
    Lecture
  • Generative AI : High-level understanding of LLMs
    Lecture
  • Prompt Engineering : Zero-shot prompting
    Lecture
  • Prompt Engineering : Few-shot prompting
    Lecture
  • Prompt Engineering : Chain-of-thought reasoning
    Lecture
  • Prompt Engineering : Role-based prompting
    Lecture
  • AI brainstorming techniques
    Lecture
  • Evaluating AI-generated outputs
    Lecture
  • Understanding hallucinations and bias
    Lecture
  • AI Agents : Agent architecture concepts
    Lecture
  • AI Agents : Applications in analytics automation
    Lecture
  • OpenAI API Basics : Making API calls in Python
    Lecture
  • OpenAI API Basics :Temperature and token control
    Lecture
  • OpenAI API Basics : Automating report generation
    Lecture
  • AI-Assisted Analytics Automation Tool.
    Lecture
08
Git & GitHub
Ultimate safety net and collaboration hub for data analysis
  • Version Control Concepts
    Theory
  • Git vs GitHub
    Lecture
  • Git Installation & Configuration
    Hands-on
  • Core Commands (init, add, commit, log)
    Lecture
  • Branching & Merging
    Hands-on
  • Pull Requests
    Hands-on
  • Repository Management
    Hands-on
  • Professional README Creation
    Hands-on
  • GitHub Portfolio Building
    Hands-on
09
Web Scraping
Automated data collection and preparation for analysis.
  • Static Web Scraping : Introduction and business applications
    Theory
  • Static Web Scraping : HTML structure and DOM
    Lecture
  • Static Web Scraping : Parsing HTML using BeautifulSoup
    Hands-on
  • Static Web Scraping : Handling authentication and forms
    Hands-on
  • Static Web Scraping : Extracting structured data
    Hands-on
  • Static Web Scraping : Storing data in CSV, JSON, and Excel formats
    Hands-on
  • Selenium : WebDriver setup
    Lecture
  • Selenium : Locating web elements
    Hands-on
  • Selenium : Handling pagination and scrolling
    Hands-on
  • Selenium : Login-based scraping
    Hands-on
  • Selenium : Ethical considerations and best practices
    Hands-on
  • Automated Data Extraction System.
    Hands-on
10
AGILE, SCRUM & JIRA
Software Development Life Cycle
  • Agile Principles & Values
    Lecture
  • Agile vs Waterfall
    Lecture
  • Agile BA Role
    Lecture
  • Agile Documentation
    Lecture
  • Scrum Roles (PO, Scrum Master, BA)
    Lecture
  • Scrum Ceremonies
    Lecture
  • Product Backlog & Sprint Backlog
    Lecture
  • User Stories & Story Points
    Lecture
  • JIRA Overview & Screen Navigation
    Lecture
  • Creating Projects & Boards
    Hands-on
  • Creating Epics, User Stories & Tasks
    Hands-on
  • Sprint Planning using JIRA
    Hands-on
  • Tracking & Reporting
    Hands-on
11
Cloud Computing & Deployment
Scalable deployment and cloud-based analytics.
  • Cloud Fundamentals : IaaS, PaaS, SaaS models
    Theory
  • Cloud Fundamentals : Public, private, and hybrid cloud
    Lecture
  • Cloud Fundamentals : Cloud storage concepts
    Lecture
  • Deploying dashboards using Streamlit
    Hands-on
  • Introduction to cloud hosting
    Lecture
  • Using cloud-based AI services
    Lecture
  • Deploying ML workflows
    Lecture
12
CAPSTONE PROJECTS
Implementation of all modules
  • Web Scraping Data Analysis Interactive Dashboard
    Project
  • AI-Assisted Business Reporting System
    Project
  • Machine Learning-Based Prediction Model
    Project
  • Cloud-Deployed Analytics Application
    Project

Student Reviews

4.9
Based on 200+ reviews
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Frequently Asked Questions

No prior coding or math background is required. The course starts from basics and progressively builds your analytical skills. We've successfully trained students from commerce, arts, and science backgrounds.
The course runs for 6 months with 2-hour sessions Monday to Saturday. This gives you 160+ hours of comprehensive, hands-on training.
You will master Excel, SQL, Python, R, Tableau, and Power BI — the six most in-demand tools used by data analysts across industries.
Yes, you receive three certificates: a NACTET certificate, an ISO-recognised Course Completion certificate, and an Internship certificate upon successful completion.
We provide comprehensive placement support including resume building, LinkedIn optimisation, mock interviews, and direct referrals to hiring companies. Our placement success rate is 95%.
Entry-level data analysts typically earn ₹3.5–6 LPA in Kochi and other major cities. With 2–3 years of experience, this grows to ₹8–15 LPA.
Yes, we offer a hybrid model with live interactive online classes, recorded sessions for review, and regular mentor check-ins — fully equivalent to classroom learning.
You will work on 3+ real industry-grade projects including retail sales dashboards, financial analytics reports, and a capstone portfolio project that you can showcase to employers.
Data Analytics Course in Kochi With Gen AI
🔥 Next Batch: 19 Jan 2026 5 Seats Left
₹1,000 Admission Fee Flexible installment options · Full fee disclosed at counselling
  • Duration 8 Months
  • Schedule Mon – Fri
  • Mode Online & Offline
  • Google Rating 4.9★
  • Alumni 2000+ Placed
Secure Your Seat Call: +91 7356713111

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Top Hiring Companies
Infosys
TCS
Wipro
Cognizant
Accenture
Certificates You'll Earn
NACTET Certificate

NACTET — Nationally recognised industry credential

Course Completion Certificate

Techolas — ISO 9001:2015 certified achievement

Internship Certificate

Techolas — Pre-placement practical experience validation

Why Choose Techolas?
Limited Batch Size

15–30 students per batch for individual mentorship & focus

95% Placement Success

Documented alumni outcomes with dedicated placement support

Real-World Projects

3+ industry-grade projects & case studies in the curriculum

Mentor-Led Training

Senior professionals with 8–12 years of industry experience

Transparent Outcomes

Public alumni success stories and verified placement data

Affordable & Flexible

Start with ₹500 admission fee; installment options available

Hybrid Mode

Attend online or offline with live mentor support & recordings

ISO 9001:2015 Certified

Institute certified to global quality standards

Success Stories

Real students. Real placements.  View more on Instagram →

Techolas Success Story
Techolas Success Story
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Techolas Success Story
Techolas Success Story
Techolas Success Story
Techolas Success Story
Techolas Success Story
Techolas Success Story
95% Placement Rate
1000+ Alumni Placed
4–6 Wks Avg. Placement Time
4.9★ Google Rating
After This Course

Career Outcomes & Salaries

Data Analyst
₹3.5 – 5 LPAAvg. Annual Package
Business Intelligence Analyst
₹5 – 7 LPAAvg. Annual Package
Reporting Analyst
₹4 – 6 LPAAvg. Annual Package
Junior Data Scientist
₹7 – 10 LPAAvg. Annual Package
Data Engineer
₹6 – 9 LPAAvg. Annual Package
Business Analyst
₹4 – 7 LPAAvg. Annual Package
Marketing Analyst
₹4 – 7 LPAAvg. Annual Package
Big Data Analyst
₹6 – 12 LPAAvg. Annual Package
SQL Developer
₹4 - 7 LPAAvg. Annual Package
PowerBI Developer
₹4 - 7 LPAAvg. Annual Package
Tableau Developer
₹4 - 7 LPAAvg. Annual Package
MIS Analyst
₹3.5 – 5 LPAAvg. Annual Package
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