Data Analytics Course in Kochi With Gen AI
Build a High-Growth Career in Data Analytics in Just 8 Months
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
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.
PYTHON FUNDAMENTALS
Basics of Python-
Variables and data typesLecture
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Control flow statementsHands-on
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Functions and file handlingHands-on
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Error handlingLecture
SQL
Fundamentals of DBMS-
Introduction to databases and relational modelsTheory
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Writing SELECT queriesHands-on
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Filtering and sorting dataHands-on
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Aggregate functions (SUM, COUNT, AVG, MIN, MAX)Hands-on
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GROUP BY and HAVING clausesHands-on
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Joins (Inner, Left, Right, Full)Hands-on
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Subqueries and viewsLecture
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Window functionsLecture
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Basic query optimizationLecture
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Generating SQL queries using Generative AIHands-on
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Optimizing queries through AI suggestionsHands-on
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Debugging SQL errors with AI supportHands-on
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Customer and Sales Analytics Database Project.Hands-on
Statistics
The mathematical backbone of Analytics-
Types of data (categorical and numerical)Theory
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Measures of central tendency (mean, median, mode)Lecture
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Measures of dispersion (variance, standard deviation)Lecture
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Probability fundamentalsLecture
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Correlation and basic regression conceptsLecture
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Hypothesis testing principlesLecture
Python Libraries
Explaining the libraries used in real-world data analysis-
Numpy : Arrays and vectorized operationsHands-on
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Numpy : Mathematical and statistical functionsHands-on
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Numpy : Performance optimizationHands-on
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Pandas : Series and DataFramesHands-on
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Pandas : Data cleaning and transformationHands-on
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Pandas : Handling missing valuesHands-on
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Pandas : GroupBy and aggregationHands-on
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Pandas : Data manipulation techniquesHands-on
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Matplotlib,Seaborn : ChartsHands-on
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Matplotlib,Seaborn : CustomizationHands-on
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Generating Python scripts using AIHands-on
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Debugging and optimizing codeHands-on
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AI-generated EDA summariesHands-on
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Exploratory Data Analysis Report.Hands-on
Machine Learning
Predictive and Clustering techniques used in Analytics.-
ML Foundations : Machine learning workflowTheory
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ML Foundations : Train-test splitLecture
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ML Foundations : ML FoundationsLecture
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Supervised Learning : Linear regressionHands-on
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Supervised Learning : Logistic regressionHands-on
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Supervised Learning : Decision treesHands-on
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Supervised Learning : K-Nearest NeighborsHands-on
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Supervised Learning : Ensemble LearningHands-on
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Unsupervised Learning : K-Means clusteringHands-on
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Unsupervised Learning : Hierarchical clusteringHands-on
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Unsupervised Learning : Principal Component AnalysisHands-on
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Reinforcement Learning : Agent and environment conceptsHands-on
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Reinforcement Learning : Business use casesHands-on
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Using AI to interpret resultsHands-on
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Generating automated performance summariesHands-on
BI Tools with AI Enhancement
Professional dashboarding skills with AI-powered enhancements.-
Tableau : Data connection and blendingHands-on
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Tableau : Calculated fieldsHands-on
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Tableau : Filters and parametersHands-on
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Tableau : Interactive dashboard creationHands-on
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Power BI : Data modelingHands-on
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Power BI : DAX fundamentalsHands-on
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Power BI : Report developmentHands-on
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Power BI : Publishing dashboardsHands-on
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Power BI : Natural language queriesHands-on
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Power BI : AI-generated visualsHands-on
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Power BI : AI-assisted DAX creationHands-on
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Power BI : Automated insight explanationsHands-on
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Power BI : Scenario and what-if analysisHands-on
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Excel : interface and workbook structureLecture
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Excel : Data types and formattingHands-on
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Excel : Logical, text, date, and lookup functionsHands-on
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Excel : Data cleaning techniques using formulasHands-on
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Excel : Pivot tables and pivot chartsHands-on
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Excel : Interactive dashboards using slicers and visual elementsHands-on
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Excel : Generating formulas using natural language promptsHands-on
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Excel : AI-driven data summarization and insightsHands-on
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Excel : Automated pivot creationHands-on
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Excel : Trend detection and anomaly identificationHands-on
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Excel : AI-assisted dashboard recommendationsHands-on
Generative AI & AI Agents
Integrates Generative AI into analytics workflows.-
Generative AI : Introduction to NLPLecture
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Generative AI : TokenizationLecture
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Generative AI : EmbeddingsLecture
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Generative AI : High-level understanding of LLMsLecture
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Prompt Engineering : Zero-shot promptingLecture
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Prompt Engineering : Few-shot promptingLecture
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Prompt Engineering : Chain-of-thought reasoningLecture
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Prompt Engineering : Role-based promptingLecture
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AI brainstorming techniquesLecture
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Evaluating AI-generated outputsLecture
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Understanding hallucinations and biasLecture
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AI Agents : Agent architecture conceptsLecture
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AI Agents : Applications in analytics automationLecture
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OpenAI API Basics : Making API calls in PythonLecture
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OpenAI API Basics :Temperature and token controlLecture
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OpenAI API Basics : Automating report generationLecture
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AI-Assisted Analytics Automation Tool.Lecture
Git & GitHub
Ultimate safety net and collaboration hub for data analysis-
Version Control ConceptsTheory
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Git vs GitHubLecture
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Git Installation & ConfigurationHands-on
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Core Commands (init, add, commit, log)Lecture
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Branching & MergingHands-on
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Pull RequestsHands-on
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Repository ManagementHands-on
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Professional README CreationHands-on
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GitHub Portfolio BuildingHands-on
Web Scraping
Automated data collection and preparation for analysis.-
Static Web Scraping : Introduction and business applicationsTheory
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Static Web Scraping : HTML structure and DOMLecture
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Static Web Scraping : Parsing HTML using BeautifulSoupHands-on
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Static Web Scraping : Handling authentication and formsHands-on
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Static Web Scraping : Extracting structured dataHands-on
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Static Web Scraping : Storing data in CSV, JSON, and Excel formatsHands-on
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Selenium : WebDriver setupLecture
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Selenium : Locating web elementsHands-on
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Selenium : Handling pagination and scrollingHands-on
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Selenium : Login-based scrapingHands-on
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Selenium : Ethical considerations and best practicesHands-on
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Automated Data Extraction System.Hands-on
AGILE, SCRUM & JIRA
Software Development Life Cycle-
Agile Principles & ValuesLecture
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Agile vs WaterfallLecture
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Agile BA RoleLecture
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Agile DocumentationLecture
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Scrum Roles (PO, Scrum Master, BA)Lecture
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Scrum CeremoniesLecture
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Product Backlog & Sprint BacklogLecture
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User Stories & Story PointsLecture
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JIRA Overview & Screen NavigationLecture
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Creating Projects & BoardsHands-on
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Creating Epics, User Stories & TasksHands-on
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Sprint Planning using JIRAHands-on
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Tracking & ReportingHands-on
Cloud Computing & Deployment
Scalable deployment and cloud-based analytics.-
Cloud Fundamentals : IaaS, PaaS, SaaS modelsTheory
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Cloud Fundamentals : Public, private, and hybrid cloudLecture
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Cloud Fundamentals : Cloud storage conceptsLecture
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Deploying dashboards using StreamlitHands-on
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Introduction to cloud hostingLecture
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Using cloud-based AI servicesLecture
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Deploying ML workflowsLecture
CAPSTONE PROJECTS
Implementation of all modules-
Web Scraping Data Analysis Interactive DashboardProject
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AI-Assisted Business Reporting SystemProject
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Machine Learning-Based Prediction ModelProject
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Cloud-Deployed Analytics ApplicationProject
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Frequently Asked Questions
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 →