Data Analytics

Best Data Analytics Courses in Kerala | Govt. Certified

Skillspark is Kerala’s leading data analytics training institute — offering a 6-month government-certified program covering Advanced Excel, Power BI, Python, SQL, AI Prompt Engineering, and Google Sheets. Available at our Kollam, Trivandrum, and Kochi centres and also online. Earn dual certification from ASAP Kerala (Government of Kerala) and the American Board of Education, with 100% placement support for data analytics careers in Kerala and the Gulf.

  • Duration : 6 Months
  • Eligibility: Degree Pass / Failed
  • Certifications: Govt.of Kerala Certificate (ASAP)|International Certificate (American Board Of Education)
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Upgrade your skills and be competent for the on demand jobs with this Data Analytics Course

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    Syllabus - What will you learn in Data Analytics course

    This 6-month program covers 10 practical modules — from Advanced Excel and AI Prompt Engineering to Python, SQL, Power BI, and pre-placement coaching — making it the most comprehensive data analytics course available in Kerala with dual ASAP Kerala and American Board of Education certification.

    Course at a Glance — All Modules
    #ModuleKey Topics Covered
    1Advanced Excel for Data AnalyticsVLOOKUP, XLOOKUP, INDEX-MATCH, pivot tables, dashboards, conditional formatting, data cleaning, department-wise analytics projects
    2AI Prompt Engineering for Data Analytics ProfessionalsPrompt frameworks for analytics, AI-assisted formula creation, SQL query building, DAX measure building, EDA using prompts, insight writing, AI validation
    3Data Visualization and Reporting Using Power BIData import, Power Query, data modelling, DAX functions, interactive dashboards, scheduled refresh, Power BI Service
    4Smart Data Collection TechniquesData collection methods, survey design, web data extraction, data quality checks, structured and unstructured data handling
    5Data Management and Analysis Using Google SheetsSheets formulas, collaborative data management, filters, pivot tables, chart creation, Google Sheets for team reporting
    6Professional Dashboard CreationDesign and build data-driven dashboards for business reporting, KPI visualisation, and management decision support
    7Python for Data AnalyticsPython basics, Pandas, NumPy, data cleaning, data analysis, visualisation using Matplotlib and Seaborn
    8SQL for Data Retrieval and AnalysisSQL basics, SELECT queries, joins, subqueries, CTEs, window functions, data filtering and aggregation for business reporting
    9ProjectEnd-to-end real-world data analytics project — data collection, cleaning, analysis, visualisation, and presentation
    10Pre-Placement TrainingInterview coaching, resume building, LinkedIn profile, mock interviews, business communication, grooming

     

    Syllabus — What You Will Learn in Data Analytics Course in Kerala
    Master Data Organisation and Formatting
    • Clean and structure datasets using tables, filters, and data validation
    • Use conditional formatting to highlight trends, exceptions, and deadlines
    • Design standardised templates for recurring tasks across departments
    Perform Advanced Calculations and Analysis
    • Apply key formulas such as VLOOKUP, XLOOKUP, IF, INDEX-MATCH, TEXT, DATEDIF, and ARRAY formulas
    • Use SUMIFS, COUNTIFS, and AVERAGEIFS to create data summaries for multiple criteria
    • Perform cross-sheet and multi-file lookups to consolidate information
    Visualize and Summarize Data for Decision-Making
    • Build Pivot Tables, Pivot Charts, and interactive dashboards
    • Use slicers, timelines, and linked charts to drill into key metrics
    • Automate report generation and refresh with dynamic formulas
    Apply Excel Skills in Different Departments
    1. Finance & Accounting
    • Automate monthly budgeting and reconciliation
    • Analyze expense patterns and predict overspending
    • Project: Create a budget vs. actual variance tracker with auto-highlighting of discrepancies
    2. Human Resources (HR)
    • Manage attendance, leave, payroll, and attrition reports
    • Analyze employee turnover trends and headcount movement
    • Project: Build an HR dashboard to monitor employee status, probation, and resignation patterns
    3. Marketing & Campaign Analysis
    • Track campaign performance across channels
    • Analyze ROI based on leads, conversions, and cost per acquisition
    • Project: Design a campaign effectiveness dashboard with traffic, cost, and conversion trends
    4. Operations & Inventory Management
    • Monitor stock levels, reorder points, and wastage
    • Automate inventory inflow-outflow reports and procurement needs
    • Project: Develop a real-time inventory tracker with stock alerts and movement logs
    5. Sales & Business Development
    • Track team-wise, product-wise, and region-wise sales targets
    • Analyze sales funnels, performance ratios, and closure rates
    • Project: Build a sales pipeline dashboard with monthly targets, conversion rates, and forecast
    Ensure Accuracy and Team Collaboration
    • Use data protection, and track changes for secure collaboration
    • Share auto-updating reports through OneDrive, Google Drive, or Teams integration
    • Implement backup, versioning, and printing standards for documentation

    This course enables working professionals in Data Analytics to use Prompt Technology as an analytical assistant to:

    • understand complex datasets
    • build accurate formulas and queries
    • debug errors faster
    • design advanced calculations confidently
    • translate business logic into analytical logic

    The focus is not on replacing analytical skills, but on augmenting human reasoning with AI.


    Module 1: Prompt Engineering Fundamentals for Analytical Work

    Topics Covered:
    Prompt engineering basics | How AI processes analytical logic | Prompt vs formula | AI reasoning limits | Human-AI validation model | Responsible AI usage

    Pain Point:
    Analysts receive wrong answers from AI due to poorly framed questions.

    How It Helps:
    Teaches how to instruct AI with proper data context, rules, and expectations.

    Industry Impact:
    AI literacy is now expected from modern analysts.

    Practical Projects:
    Analytics prompt testing | Logic breakdown exercise | AI validation practice

    Module 2: Analytical Prompt Frameworks for Complex Logic

    Topics Covered:
    ROLE–TASK–FORMAT method | Step-by-step logic prompting | Constraint-based prompts | Assumption control | Prompt chaining | Output verification prompts

    Pain Point:
    Complex formulas break because logic is unclear.

    How It Helps:
    Forces AI to explain logic before writing formulas.

    Industry Impact:
    Improves calculation accuracy and confidence.

    Practical Projects:
    Logic-first prompting | Formula explanation workflow | Error-prevention checklist

    Module 3: Understanding Complicated Datasets Using AI

    Topics Covered:
    Large dataset interpretation | Column meaning analysis | Metric clarification | Data relationships | Hidden assumptions | Data dictionary generation

    Pain Point:
    Analysts often work on data they did not create.

    How It Helps:
    AI explains dataset structure and business logic quickly.

    Industry Impact:
    Reduces dependency on others and speeds onboarding.

    Practical Projects:
    Dataset explanation prompt | KPI definition mapping | Data dictionary creation

    Module 4: AI-Assisted Data Cleaning & Transformation

    Topics Covered:
    Missing value logic | Outlier handling | Transformation rules | SQL cleaning logic | Power Query steps explanation | Validation checks

    Pain Point:
    Data preparation consumes most project time.

    How It Helps:
    AI creates and explains cleaning logic clearly.

    Industry Impact:
    Faster and more reliable analysis cycles.

    Practical Projects:
    Cleaning logic generation | SQL transformation explanation | Data quality checklist

    Module 5: Prompt Technology for Complex Excel Formula Creation

    Topics Covered:
    Nested IF logic | XLOOKUP with multiple conditions | INDEX-MATCH alternatives | Dynamic array formulas | LET & LAMBDA | Formula optimization | Error debugging

    Pain Point:
    Complex Excel formulas are difficult to design and troubleshoot.

    How It Helps:
    AI breaks formulas into step-by-step logic before writing them.

    Industry Impact:
    Significantly improves Excel efficiency and accuracy.

    Practical Projects:
    Complex salary calculation formula | Multi-condition lookup | Formula debugging workflow

    Module 6: Prompt Technology for Advanced SQL Query Building

    Topics Covered:
    Multi-table joins | Subqueries | CTEs | Window functions | Case statements | Query optimization | Debugging failed SQL

    Pain Point:
    SQL queries fail due to logic confusion.

    How It Helps:
    AI converts business logic into clean SQL structure.

    Industry Impact:
    Improves query performance and accuracy.

    Practical Projects:
    Complex reporting SQL | CTE-based transformation | SQL error diagnosis

    Module 7: Prompt Engineering for DAX & Power BI Measures

    Topics Covered:
    Calculated columns vs measures | Filter context explanation | CALCULATE logic | Time intelligence | Debugging wrong totals | Performance optimization

    Pain Point:
    DAX measures often produce incorrect results.

    How It Helps:
    AI explains filter context and builds logic step-by-step.

    Industry Impact:
    Essential for Power BI analysts.

    Practical Projects:
    Sales growth measure | YTD/MTD calculation | DAX debugging guide

    Module 8: Exploratory Data Analysis (EDA) Using Prompts

    Topics Covered:
    EDA roadmap | Trend detection | Segment analysis | Root cause exploration | Hypothesis testing prompts

    Pain Point:
    Analysts don’t know where to begin analysis.

    How It Helps:
    AI suggests structured exploration paths.

    Industry Impact:
    Improves analytical thinking depth.

    Practical Projects:
    EDA plan creation | Insight discovery worksheet | Pattern identification report

    Module 9: Insight Writing & Business Storytelling

    Topics Covered:
    Executive summaries | KPI explanations | Recommendation writing | Risk articulation | Visualization narration

    Pain Point:
    Strong analysis fails due to poor explanation.

    How It Helps:
    AI translates technical findings into business language.

    Industry Impact:
    Enhances analyst visibility and promotion potential.

    Practical Projects:
    Management insight report | Dashboard narration | Recommendation summary

    Module 10: AI Integration with Analytics Tools

    Topics Covered:
    Excel Copilot | Power BI Copilot | SQL AI tools | Python notebooks | Automated insight generation

    Pain Point:
    AI is used outside analytics tools.

    How It Helps:
    Brings AI directly into workflows.

    Industry Impact:
    Major productivity advantage in analytics teams.

    Practical Projects:
    Copilot-driven analysis | Auto-insight generation | Prompt reuse system

    Module 11: AI Validation, Data Governance & Ethics

    Topics Covered:
    Hallucination control | Data privacy | Bias detection | Validation framework | Audit documentation

    Pain Point:
    Blind trust in AI risks incorrect decisions.

    How It Helps:
    Ensures analyst-controlled outputs.

    Industry Impact:
    Protects professional credibility.

    Practical Projects:
    AI validation checklist | Bias risk review | Governance documentation

    Module 12: Capstone Project – AI-Assisted Analytics Simulation

    Scope:
    Complex dataset | Cleaning | Formula creation | SQL | DAX | Visualization | Insights | Presentation

    Pain Point:
    Analysts struggle to combine skills into one workflow.

    How It Helps:
    Simulates real corporate analytics projects.

    Industry Impact:
    Creates job-ready AI-enabled analysts.

    Practical Projects:
    End-to-end analytics case | Prompt library | Executive presentation

    Import and Clean Data for Analysis
    • Connect Power BI to data sources such as Excel, Google Sheets, CSV, or cloud databases
    • Use Power Query to clean, transform, and merge datasets
    • Create data models by building relationships across multiple tables
    Create Interactive Dashboards and Visual Reports
    • Build live dashboards with visuals like:
      • Bar, line, and pie charts
      • Cards, slicers, filters, and gauges
      • Tree maps, matrix tables, and trend lines
    • Make dashboards interactive for user-driven analysis
    Automate Business Reporting
    • Set up scheduled data refresh and auto-generated reports
    • Share dashboards with managers or clients through Power BI Service
    • Use role-level security to manage who sees what
    Apply Power BI in Real-World Business Fields

    1. Finance & Accounting

    • Track expenses, income, profit margins, and financial KPIs
    • Visualize trends in monthly spending and budget adherence
    • Project: Create a financial performance dashboard showing monthly income vs. expense with variance indicators
    2. Human Resources (HR)
    • Monitor hiring, retention, attendance, and training metrics
    • Visualize attrition rate, headcount trends, and performance distributions
    • Project: Build an HR analytics dashboard displaying employee lifecycle metrics and department-wise turnover
    3. Marketing & Campaign Performance
    • Analyze lead sources, campaign ROI, ad spend, and conversion funnels
    • Visualize engagement metrics over time, geography, and platform
    • Project: Design a marketing campaign performance dashboard showing cost-per-click, leads, and conversion efficiency
    4. Operations & Logistics
    • Monitor stock movement, delivery time, procurement cycles, and usage trends
    • Identify bottlenecks and wastage across stages
    • Project: Build an operations dashboard to track supply chain performance and material availability
    5. Sales & Business Development
    • Visualize team-wise sales performance, targets, and customer acquisition
    • Forecast sales trends based on historical data
    • Project: Create a sales performance dashboard with filters by team, product, and region showing progress toward targets
    Publish, Collaborate, and Present Data-Driven Insights
    • Publish reports to the web or organization-wide Power BI workspace
    • Collaborate in real time using shared dashboards
    • Present insights in meetings with interactive, drill-down capabilities
    Google Forms for Data Collection
    • Design professional, user-friendly forms for:
      • Surveys
      • Registrations
      • Feedback
      • Internal requests and approvals
    • Customize themes, response types, and validation rules to ensure clean data entry
    Automate Workflow with Form Settings and Logic
    • Enable email notifications, confirmation messages, and form branching (conditional questions)
    • Set up limited access forms and response tracking
    • Use pre-filled links for personalized data collection
    Link Responses to Google Sheets for Real-Time Analysis
    • Automatically capture form responses in Google Sheets
    • Use filters, formulas, and conditional formatting to analyze collected data
    • Prepare instant reports or dashboards based on live input
    Apply Google Forms in Real-World Business Fields

    1. Finance & Office Admin

    • Collect petty cash claims, invoice approvals, or budget requests
    • Project: Design a finance request form linked to a summary sheet for monthly expense tracking
    2. Human Resources (HR)
    • Conduct employee feedback surveys, onboarding checklists, and leave applications
    • Project: Create a 360° feedback form with automated response analysis for appraisal support
    3. Marketing & Customer Interaction
    • Collect leads, customer feedback, and event registrations
    • Project: Build a customer satisfaction survey with real-time Google Sheet reporting
    4. Operations & Inventory
    • Track supply requests, equipment usage, or maintenance logs
    • Project: Develop a store request form integrated with stock update sheets
    5. Sales & CRM
    • Capture inquiry forms, pre-sales assessments, or demo booking requests
    • Project: Create a sales lead generation form with Google Sheet tracking and status filtering
    Share, Embed, and Collaborate with Ease
    • Share forms via links, email, or embed them in websites or intranets
    • Collaborate with team members to edit forms and access responses
    • Export responses for reporting or integrate with other tools like Google Data Studio
    Organize and Manage Real-Time Data
    • Structure data using tables, freeze panes, and filters
    • Use data validation, drop-down lists, and protected ranges to prevent data errors
    • Collaborate live with teammates using version history and comment threads
    Apply Advanced Formulas for Business Use
    • Perform calculations using IF, VLOOKUP, XLOOKUP, ARRAYFORMULA, TEXT, and DATE functions
    • Summarize large data sets with SUMIFS, COUNTIFS, and AVERAGEIFS
    • Automate recurring tasks using dynamic ranges and linked sheets
    Visualize Data for Better Decision-Making
    • Create bar charts, line graphs, pie charts, and combo charts for visual reporting
    • Use sparkline visuals, progress bars, and conditional formatting to highlight key metrics
    • Share printable and real-time dashboards with stakeholders
    Integrate Google Sheets with Other Tools
    • Connect with Google Forms to automatically collect and analyze data
    • Use IMPORTRANGE and QUERY functions to link multiple sheets
    • Export Sheets to Excel or PDF for external sharing and reporting
    Apply Google Sheets Across Business Domains
    1. Finance & Budgeting
    • Monitor budgets, expenditures, and profit margins
    • Project: Create a monthly expense tracker with category-wise filters and visual insights
    2. HR & People Management
    • Track leave balances, onboarding checklists, and employee data
    • Project: Build a live HR dashboard linked to a Google Form-based leave application system
    3. Marketing & Campaign Tracking
    • Monitor ad spend, lead conversions, and campaign KPIs
    • Project: Develop a campaign tracker that calculates ROI and engagement metrics in real-time
    4. Operations & Workflow Tracking
    • Maintain inventory, procurement status, and delivery timelines
    • Project: Build a supply chain tracker with alerts for low stock and delays
    5. Sales & CRM Support
    • Record leads, sales activity, and revenue targets
    • Project: Design a sales tracker with automatic performance calculations and target monitoring
    Enhance Efficiency Through Automation & Collaboration
    • Use conditional formatting, formulas, and pivot tables to minimize manual work
    • Assign edit/view rights and collaborate seamlessly with remote teams
    • Store backups with version control and prevent data loss
    Design Real-Time Dashboards for Business Monitoring
    • Create dashboards that update automatically using live data from:
      • Excel files
      • Google Sheets
      • Power BI data sources
    • Display department-specific KPIs clearly for stakeholders
    Build Function-Based Dashboards Across Fields
    1. Finance Dashboard
    • Monitor budget utilization, revenue flow, and expense breakdowns
    • Project: Build a real-time finance tracker showing monthly income, cost centers, and variance alerts
    2. HR Dashboard
    • Track attendance, leave balance, headcount, and attrition
    • Project: Design an HR dashboard linked with data entry sheets and leave trackers
    3. Sales Dashboard
    • Monitor daily sales, targets, conversion rates, and team-wise performance
    • Project: Create a sales performance dashboard with filters for region, team, and product
    4. Marketing Dashboard
    • Analyze campaign effectiveness, ROI, lead sources, and cost per lead
    • Project: Develop a marketing performance dashboard using real or simulated campaign data
    5. Operations Dashboard
    • Visualize stock movement, delivery performance, vendor reliability, and task completion
    • Project: Build a dashboard to track procurement cycle, pending deliveries, and alerts
    Combine Multiple Data Sources into One View
    • Merge sheets using QUERY, IMPORTRANGE, or Power BI relationships
    • Consolidate data from multiple branches, teams, or projects in a unified view
    • Schedule automatic updates to reduce manual reporting
    Deliver Reports That Drive Action
    • Prepare dashboards for management review, team briefings, or client updates
    • Export dashboards as PDF reports, live shareable links, or printed summaries
    • Provide insights that support data-driven decisions
    Understand Python for Practical Use
    • Set up Python and write your first scripts using tools like Jupyter Notebook or Google Colab
    • Use basic syntax for:
      • Variables and data types
      • Conditional logic (if, else)
      • Loops (for, while)
    • Automate repetitive tasks like renaming files or filtering data
    Work with Data Using Python Libraries
    • Use Pandas to:
      • Import data from Excel, CSV, and Google Sheets
      • Clean, sort, and filter large datasets quickly
      • Perform group-wise operations (e.g., total sales by region)
    • Use NumPy for numerical operations on arrays and business metrics
    Visualize Data with Python
    • Create charts using Matplotlib and Seaborn
    • Visualize trends, comparisons, and categories with:
      • Line graphs
      • Bar charts
      • Histograms
      • Heatmaps
    • Save graphs as images for presentations or reports
    Apply Python Across Business Fields
    1. Finance
    • Automate generation of expense reports and reconcile budgets
    • Project: Write a script to compare budget vs. actual and flag overspending
    2. HR
    • Analyze employee data and generate leave or attendance summaries
    • Project: Filter and summarize employee leave by department using Pandas
    3. Marketing
    • Clean campaign data and analyze performance metrics
    • Project: Visualize lead conversion rates and ad performance trends
    4. Sales
    • Segment customers, track sales patterns, and forecast targets
    • Project: Build a sales report that summarizes weekly performance by product
    5. Operations
    • Track inventory levels, vendor delays, or service metrics
    • Project: Create a dashboard-ready summary of stock usage and reorder alerts
    Prepare Reports and Automate Workflows
    • Export processed data to Excel or PDF using Python scripts
    • Automate daily report generation and email delivery (intro to Python + SMTP)
    • Build a basic data pipeline from input to output for recurring office tasks
    Understand the Basics of SQL and Databases
    • Learn the structure and components of a relational database
    • Understand tables, columns, rows, primary keys, and foreign keys
    • Use SQL clients like MySQL Workbench, SQLite, or online SQL editors for practice
    Retrieve and Filter Business Data Using SELECT Queries
    • Use SELECT, FROM, WHERE to extract specific data from tables
    • Apply filters using conditions like AND, OR, IN, BETWEEN, LIKE
    • Sort and limit results using ORDER BY and LIMIT
    Summarize Data with Aggregations and Grouping
    • Use aggregate functions: SUM, COUNT, AVG, MIN, MAX
    • Group data using GROUP BY to generate departmental summaries
    • Filter groups with HAVING to extract specific insights
    Join Multiple Tables for Cross-Functional Insights
    • Perform INNER JOIN, LEFT JOIN, and RIGHT JOIN to combine data from related tables
    • Merge employee, department, sales, and finance records for reporting
    • Understand the logic of data relationships in HR, sales, and operations
    Apply SQL in Real-World Business Fields
    1. Finance
    • Query expense logs, revenue tables, and cost centers
    • Project: Generate a monthly expense summary by department and payment type
    2. HR
    • Analyze employee records, leave databases, and recruitment data
    • Project: Extract a report of employees with more than 3 absences in a month
    3. Sales
    • Track sales performance by product, region, and customer
    • Project: Create a table showing top-selling products by region and revenue
    4. Operations
    • Monitor stock movement, vendor transactions, and supply timelines
    • Project: Identify items with below-minimum stock and pending reorder status
    5. Marketing
    • Analyze leads, campaign interactions, and customer feedback
    • Project: Query the lead database to find conversion rates by source and campaign
    Use SQL to Build and Share Analytical Reports
    • Export query results to Excel or reporting tools
    • Create repeatable query templates for team reporting
    • Integrate SQL with BI tools like Power BI or Google Data Studio for real-time dashboards

    The project will be selected by the student based on their area of interest or relevant industry domain. It should reflect the practical application of the HR concepts, tools, and techniques learned during the course.

    Build an Impressive Resume and LinkedIn Profile
    • Create a professional, job-focused resume tailored for HR and administrative roles
    • Highlight practical skills, project experience, certifications, and achievements
    • Develop a strong LinkedIn profile to enhance online visibility and attract recruiters
    Prepare for Interviews with Confidence
    • Practice answering HR-specific and behavioural interview questions
    • Understand how to structure answers using the STAR method
    • Participate in mock interviews with personalised feedback
    Develop Strong Communication and Presentation Skills
    • Speak clearly and professionally in interviews and meetings
    • Present your ideas with confidence during group discussions and HR briefings
    • Handle questions with clarity and maintain positive body language
    Understand Workplace Expectations and Etiquette
    • Learn about corporate culture, professional behaviour, and dress code
    • Understand what employers expect during probation and performance evaluations
    • Maintain email and meeting etiquette in formal environments
    Enhance Time Management and Professionalism
    • Plan and prioritize tasks during onboarding or internship
    • Set career goals and stay accountable for daily performance
    • Demonstrate dependability, initiative, and discipline at work

    What Makes Skillspark's Data Analytics Course Different in Kerala?

    Most data analytics courses in Kerala cover only Excel or Power BI in isolation. Skillspark’s Data Analytics course goes significantly further — combining Advanced Excel, AI Prompt Engineering, Power BI, Python, SQL, Google Sheets, and Professional Dashboard Creation into a single 6-month government-certified program available in Kollam, Trivandrum, Kochi, and online.

    • Most comprehensive data analytics curriculum in Kerala — 10 modules covering the full analytics toolkit used by employers
    • Python and SQL included — most data analytics courses in Kerala offer only Excel and Power BI — Skillspark includes Python and SQL in the same program
    • AI Prompt Engineering for Analytics — dedicated module on using AI to build formulas, SQL queries, DAX measures, and analytical logic — not available in most data analytics courses in Kerala
    • Smart Data Collection Techniques — learn how to gather, validate, and structure data before analysis — a critical skill most courses skip
    • Google Sheets included — collaborative data management increasingly required by startups and SMEs across Kerala
    • Dual certification — ASAP Kerala (Government of Kerala) + American Board of Education International Certificate
    • Available in Kollam, Trivandrum, Kochi, and online — most accessible data analytics program in Kerala
    • 100% placement support — resume, mock interviews, LinkedIn, and hiring connections for data analytics roles across Kerala and the Gulf

    Benefits of Data Analytics Course at Skillspark Kerala

    Skillspark’s Data Analytics course is Kerala’s most comprehensive analytics training program — covering Advanced Excel, AI Prompt Engineering, Power BI, Python, SQL, Google Sheets, Smart Data Collection, and Professional Dashboard Creation in one 6-month government-certified program — available in Kollam, Trivandrum, Kochi, and online.

    • Dual certification — ASAP Kerala (Govt. of Kerala) + American Board of Education International Certificate — recognised by employers in India and the Gulf
    • Python and SQL in one program — two of the most in-demand data analytics skills combined with Excel and Power BI in a single 6-month course
    • AI Prompt Engineering for Analytics — learn to use AI to build complex formulas, debug SQL queries, create DAX measures, and write management insights faster
    • Professional Dashboard Creation — learn to design and present business dashboards that management and clients can use for decision-making
    • Smart Data Collection Techniques — understand how to gather clean, structured, and reliable data before starting analysis
    • Google Sheets for collaborative analytics — growing requirement for startups, SMEs, and remote teams across Kerala
    • Department-wise Excel projects — finance, HR, marketing, sales, and operations analytics projects simulating real workplace scenarios
    • Available in Kollam, Trivandrum, Kochi, and online — most accessible data analytics program in Kerala
    • 100% placement support — resume building, LinkedIn profile, STAR method mock interviews, and hiring connections
    Course Highlights
    •  ASAP Kerala Government Certification — officially recognised across India and abroad
    •  American Board of Education International Certificate — boosts Gulf and international job eligibility
    •  Dual Certification — only data analytics course in Kerala offering both simultaneously
    •  6 Months Duration — classroom and online available
    •  10 Practical Modules — most comprehensive data analytics curriculum in Kerala
    •  Advanced Excel for Analytics — VLOOKUP, INDEX-MATCH, pivot tables, dashboards, department-wise projects
    •  AI Prompt Engineering — use AI to build formulas, SQL queries, DAX measures, and insights faster
    •  Power BI — interactive dashboards, DAX functions, Power Query, data modelling
    •  Python for Data Analytics — Pandas, NumPy, Matplotlib, Seaborn
    •  SQL for Data Retrieval — joins, subqueries, CTEs, window functions
    •  Google Sheets — collaborative analytics for startups and SMEs
    •  Smart Data Collection — survey design, web data extraction, data quality checks
    •  Professional Dashboard Creation — KPI visualisation and business reporting
    •  Pre-Placement Training — mock interviews, resume, LinkedIn, grooming
    •  100% Placement Support — resume to job offer across Kerala and the Gulf
    •  Available in Kollam, Trivandrum, Kochi and Online
    •  Eligibility — Any degree holder — pass or failed — no prior coding or analytics experience required

    Certificates You'll Earn

    Upon successful completion of this course, you will receive a recognised certificate from our accredited partners.

    ASAP Kerala (Additional Skill Acquisition Programme) is a skill development initiative of the Higher Education Department, Government of Kerala, aimed at improving employability through industry-relevant training and certification. On successful completion of the course and assessment, learners receive a digitally verifiable certification, validating their skills and enhancing their career opportunities.

    OA 2
    OA 1
    Who Should Enroll for Data Analytics Course in Kerala?

    Skillspark’s Data Analytics course in Kerala is open to any degree holder — pass or failed — in any stream. No prior coding, programming, or analytics experience is required. This course is ideal for:

    • Fresh graduates — BCom, BBA, BSc, BA, BCA — who want to enter the data analytics field with a comprehensive, government-certified program
    • Working accountants and finance professionals — who want to upgrade from manual Excel reporting to Power BI dashboards, Python, and SQL analytics
    • IT professionals — who work with data and want to develop formal analytics and visualisation skills
    • MIS executives — who prepare reports manually and want to automate and improve reporting with Power BI and Python
    • Marketing professionals — who manage campaign data and want to analyse ROI, conversions, and trends with proper analytics tools
    • HR professionals — who handle attendance, payroll, and attrition data and want to build HR analytics dashboards
    • Technopark job aspirants — Trivandrum — Power BI, Python, SQL, and AI prompt engineering are directly required by IT companies and MNCs in Technopark
    • Infopark and SmartCity job aspirants — Kochi — data analytics skills are in active demand across Kochi’s technology and corporate sector
    • Gulf job aspirants — American Board of Education certification combined with Python, SQL, and Power BI skills makes graduates competitive for data analytics and MIS roles in UAE, Qatar, and Saudi Arabia
    • Career changers — from any field who want to transition into one of Kerala’s fastest-growing job categories
    Enroll Now
    skill development courses in Kerala

    Where These Jobs Are Available: Graduates secure jobs across Kerala — in Kollam, Trivandrum, and Kochi — in IT companies, banks, hospitals, real estate firms, retail chains, and accounting firms. Technopark in Trivandrum and Infopark and SmartCity in Kochi are the largest employers of data analytics professionals in Kerala. Gulf analytics and MIS roles are actively recruited from Kerala with competitive tax-free salaries.

    Salary Range: Entry-level data analytics roles in Kerala start at ₹18,000–₹35,000 per month. Technopark and Infopark companies typically offer higher starting packages for Power BI and Python skilled candidates. Gulf analytics and MIS roles offer tax-free salaries from AED 3,000–8,000 per month (approximately ₹65,000–₹1,75,000 per month).

    Career Opportunities After Data Analytics Course in Kerala

    Graduates from Skillspark’s Data Analytics course secure jobs as Data Analysts, MIS Executives, Business Analysts, Power BI Developers, SQL Analysts, and Reporting Executives — in Kerala, across India, and in Gulf countries.

    • Data Analyst — analyse business data and produce insights for decision-making — in demand across all industries in Kerala
    • MIS Executive — manage management information reports using Excel, Power BI, and SQL — growing role in Kochi and Trivandrum
    • Business Analyst — bridge business needs and data — active in IT companies, banks, and corporates
    • Power BI Developer — build interactive dashboards and reports — in demand in Technopark and Infopark companies
    • SQL Analyst / Database Analyst — retrieve and analyse data from databases — required by banks, IT companies, and data teams
    • Reporting Analyst — prepare weekly, monthly, and annual business reports using Power BI and Excel
    • Excel Analyst / Spreadsheet Specialist — manage and analyse large datasets in Excel — widely required across all industries
    • Python Developer — entry level data processing and automation roles in IT and analytics companies
    • Data Entry and Analytics Executive — combine data entry accuracy with analytics skills for faster career growth
    • Gulf MIS and Analytics roles — data analytics professionals with Power BI, SQL, and American Board of Education certification actively recruited in UAE, Qatar, and Saudi Arabia

    What our students say

    Frequently Asked Questions on Data Analytics

    The Office Administration course at Skillspark Kochi is 6 months — delivered as full-time classroom training at our Kochi centre. Online enrollment is also available for students who prefer to study remotely.

    Graduates receive dual certification — ASAP Kerala (Government of Kerala) and American Board of Education International Certificate — recognised by employers in India and Gulf countries.

    Yes. Skillspark’s Data Analytics course is available at our Chinnakkada, Kollam centre; Pattom Junction, Trivandrum centre; and Kochi centre — and also online for students anywhere in Kerala or abroad.

    No. The course starts from the basics of Excel and Python — no prior coding or programming experience is required. Any degree holder — pass or failed — in any stream can join.

    Yes. Skillspark’s Data Analytics course includes dedicated Python for Data Analytics and SQL for Data Retrieval and Analysis modules — making it one of the few data analytics courses in Kerala to include both programming languages alongside Excel and Power BI.

    Yes. The course includes a dedicated AI Prompt Engineering for Data Analytics Professionals module — covering how to use AI to build complex Excel formulas, SQL queries, DAX measures, and business insight reports faster and more accurately.

    Yes. Power BI is a core module — covering data import, Power Query, data modelling, DAX functions, interactive dashboard creation, and Power BI Service for sharing reports.

    Yes. The American Board of Education International Certificate combined with Python, SQL, and Power BI skills makes graduates competitive for data analytics and MIS roles in UAE, Qatar, and Saudi Arabia.

    Yes. Skillspark provides 100% placement support — including resume building, LinkedIn profile development, mock interviews using the STAR method, and direct connections to hiring companies in Kerala and the Gulf.

    Entry-level data analytics roles in Kerala start at ₹18,000–₹35,000 per month. Gulf analytics and MIS roles offer tax-free salaries from AED 3,000–8,000 per month (approximately ₹65,000–₹1,75,000 per month).

    Graduates work as Data Analysts, MIS Executives, Business Analysts, Power BI Developers, SQL Analysts, Reporting Analysts, and Excel Specialists — in IT companies, banks, hospitals, retail chains, and Gulf organisations.

    Interested to join Data Analytics Courses ?

    Enroll Now!

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