4.8 LPAHyderabadAnkit Singh
Data Analyst
- Placed at
- FINELABS
- Program
- Data Analytics Batch
- Batch
- DA/09/0823/S WD 7PM
Data Analytics Course in Kakinada with Gen AI & Placement Assistance
Kakinada sits where the Krishna–Godavari gas basin meets the Bay of Bengal. Offshore platforms feed onshore terminals, two large fertiliser complexes turn that gas into urea and DAP, the deep-water and anchorage ports move rice, edible oil and fertiliser, and seafood processors freeze shrimp for export. Each of these businesses measures pressure, tonnage, yield and shipment times around the clock. Uncodemy's Data Analytics Course trains Kakinada learners to make those measurements meaningful, over 6–7 months of live online classes in Excel, SQL, Python, Statistics, Power BI, Tableau and Generative AI.
Physical Uncodemy classrooms exist in only two places, Noida and Delhi — the latter in Shakarpur Extension beside DSEU Ambedkar College, a few minutes from Nirman Vihar and Laxmi Nagar Metro Stations. Kakinada learners sit in those batches through a live video link, with over 120 learning hours, more than 75 trainer-led sessions, applied projects and a named placement mentor included. The course costs ₹17,500, and ₹20,650 with 18% GST.
Why Choose Uncodemy?
14+Years of Training Excellence
850+Companies in Our Hiring Network
54,000+Learners Trained
200+Corporate Associations
₹17,500 + 18% GST₹20,650
- Program Fee₹17,500 + 18% GST
- Total Fee (incl. 18% GST)₹20,650
- EMIFrom ₹4,032/month
- Mode in KakinadaLive Online (classroom only at Delhi & Noida centres)
Program Details
Data Analytics with Gen AI — Instructor-Led Training & Career Support Program
Over six to seven months, Kakinada learners pipe their way through Excel, SQL, Python, statistics, Power BI, Tableau and Gen AI in live online classes, using gas-terminal, fertiliser, port and seafood datasets, with a mentor monitoring flow and an interview phase at the outlet.
- Learning120+ Hours
- Program Duration6–7 Months
- Live Training75+ Live Sessions
- Technology Coverage10+ Tools & Technologies
- Practical LearningHands-on Projects & Case Studies
- Program Fee₹17,500 + 18% GST
- Total Fee₹20,650
- EMIStarting From ₹4,032/Month*
- Career SupportDedicated Career & Placement Assistance
- Hiring Network850+ Companies
Data Analytics Course in Kakinada — Quick Facts
- Course
- Data Analytics with Gen AI
- Provider
- Uncodemy Edutech Pvt. Ltd.
- Total Learning
- 120+ Hours
- Curriculum
- 9 Modules
- Projects
- 5 Guided + 1 Capstone
- Tools
- Excel, SQL, Python, Statistics, Power BI, Tableau and Gen AI
- Modes
- Live Online (classroom only at Delhi & Noida centres)
- Prior Coding
- Not Required
- Certificate
- Uncodemy Program Certificate
List of Placed Students Trained by Uncodemy
Graduates can take a fertiliser plant's daily production log, an anchorage port's vessel register or a seafood plant's grading sheet and deliver a clean, analysed and persuasive answer with the right tool. Eligible graduates then apply for analyst roles after career preparation; recorded examples follow.
4.8 LPAHyderabad
4.8 LPAIndiaAshish Butola
Data Analyst
- Placed at
- Allsoft Solutions
- Program
- Data Analytics Batch
- Batch
- DS/12/0823/IR WE 12 PM
4.0 LPADelhiRajat Kashyap
Data Analyst
- Placed at
- Hexalog
- Program
- Data Analytics Batch
- Batch
- DS/DA Weekend July Batch 10 AM
3.25 LPAPuneSagar B. Shembade
Data Analyst
- Placed at
- SmartStudy
- Program
- Data Analytics Batch
- Batch
- DA/WD/S 08:00 PM 08 JAN-UC
3.0 LPANoidaPriyanka Kumari
Data Analyst
- Placed at
- CloudFirst Digital
- Program
- Data Analytics Batch
- Batch
- DS/DA Weekend July Batch 10 AM
3.0 LPADelhiShruti Saxena
Data Analyst
- Placed at
- Jepius Healthcare
- Program
- Data Analytics Batch
- Batch
- DS/DA/09/UP WD 12:30 PM
Location badges show where each learner was placed. Kakinada learners join these same live online batches and the same career-preparation process; outcomes depend on individual effort and the job market.
What is Data Analytics?
A fertiliser complex in Kakinada converts natural gas into thousands of tonnes of urea a day, and small changes in gas composition, ammonia conversion, steam balance or bagging speed swing costs noticeably. A port operator wonders why vessels wait days at anchorage; a shrimp processor wonders why one supplier's count sizes vary so much; a rice exporter wonders which buyers will reorder. Data analytics answers those questions by cleaning operational records, testing patterns statistically and charting the results so managers can adjust quickly instead of reacting late. Hospitals, banks and JNTU Kakinada's research teams apply exactly the same thinking to their own data.
What does a data analyst do?
A Kakinada analyst might start the week pulling DCS historian or ERP data with SQL, spend a day correcting gaps, duplicate tags and unit mismatches, then compare shifts, berths or suppliers in Excel or Python. By Thursday there's a Power BI or Tableau dashboard; on Friday comes the most important part — walking a plant manager, port planner, processing head or hospital administrator through what the data implies and agreeing on the next adjustment.
Data Analytics vs Data Science vs Business Analytics
Consider a urea plant on the Kakinada coast. Analytics explains why specific gas consumption rose last quarter; data science forecasts next month's output and maintenance needs; business analytics recommends when to schedule the annual turnaround and how to plan dispatches around it.
| Aspect | Data Analytics | Data Science | Business Analytics |
|---|---|---|---|
| Core question | What happened, and why? | What will happen next? | What should the business do? |
| Coding depth | Low to moderate | High | Low |
| Typical entry salary | ₹3–6 LPA | ₹8–18 LPA | ₹4–7 LPA |
| Time to job-ready | 6–7 months | 9–12 months | 5–6 months |
Salary figures are rough first-job ranges from the cited sources; KG-coast offers move with employer, role, skill, experience and the energy cycle.
Course Overview
Kakinada's version of the course spans 6–7 months, combining more than 75 live online lectures with upward of 120 hours of learning. The opening modules handle Excel and SQL; the middle ones introduce Python, statistics, cleaning and exploratory analysis; the closing ones cover Power BI, Tableau and Generative AI. Gas, fertiliser, port and seafood data feature throughout, every phase ends with a guided build, and the capstone becomes the highlight of your portfolio.
Who should join this course:
- Kakinada, Samalkot, Peddapuram and Yanam-area learners who want live teaching without relocating to Hyderabad or Vizag.
- Graduates of JNTU Kakinada, Rangaraya Medical College, Aditya and other institutions — any stream — aiming for analytics.
- Shift engineers, lab chemists and planners at gas terminals, fertiliser plants and refineries in the KG basin.
- Port, shipping-agency and seafood-plant staff who already maintain logs and spreadsheets.
- Clerks at banks, hospitals and rice exporters wanting to move into analysis.
Eligibility: You'll need an undergraduate degree, any discipline (the eligibility criteria page lists the conditions). Programming isn't a prerequisite — we start SQL and Python from the first command. Comfort with arithmetic helps; the statistics module develops the rest methodically. For lab work, a laptop with 8GB RAM and a reliable connection is advised.
Upcoming Data Analytics Course Batches in Kakinada
Weekday and weekend live batches are scheduled for Kakinada learners around plant shifts, port rosters and college terms. A free online demo can be booked first.
DateTimeTrainerSeats Left
Weekdays
- 19 Oct02:00 PM – 03:00 PMMr. Upendra02 Seats
- 02 Nov10:30 AM – 11:30 AMMs. Rachna01 Seat
- 09 Nov12:00 PM – 01:00 PMMr. Abhi02 Seats
- 16 Nov07:30 PM – 08:30 PMMr. Rahul01 Seat
Weekends
- 28 Nov03:00 PM – 05:00 PMMr. Irshad02 Seats
Seats are limited and updated daily. All timings are in IST.
Data Analytics Course Syllabus & Curriculum in Kakinada
Nine modules and 120-plus hours trace a plant engineer's logic applied to data: capture, cleanse, analyse, interpret, visualise, report. A graded practical on genuine data ends each module; module nine builds your portfolio.
Module 1: Excel for Data Analytics — 12 Hours
- Advanced formulas: VLOOKUP, XLOOKUP, INDEX-MATCH, SUMIFS, COUNTIFS, nested IF
- Data cleaning: text functions, Find & Replace, Flash Fill, removing duplicates
- Pivot Tables, PivotCharts, Slicers and Timelines
- Power Query for importing and transforming data
- Data validation, conditional formatting and dashboard design
- Charts: histogram, Pareto, combo, waterfall
Module 2: SQL & Database Management — 18 Hours
- Relational database concepts, ER diagrams, normalisation
- SELECT, WHERE, ORDER BY, GROUP BY, HAVING
- All join types: inner, left, right, full outer, self, cross
- Subqueries and Common Table Expressions
- Window functions: ROW_NUMBER, RANK, LEAD, LAG
- Connecting SQL databases to Python
Module 3: Python for Data Analytics — 20 Hours
- Python fundamentals: variables, data types, loops, functions
- Lists, tuples, dictionaries, sets, file operations
- NumPy: arrays, vectorised operations, broadcasting
- Pandas: Series, DataFrames, indexing, filtering, merging, grouping
- Handling missing values and duplicates
- Matplotlib, Seaborn and Jupyter Notebook
Module 4: Statistics & Business Mathematics — 12 Hours
- Descriptive statistics: mean, median, variance, standard deviation
- Probability fundamentals and data distributions
- Sampling methods and the Central Limit Theorem
- Hypothesis testing: p-values, confidence intervals, t-tests, chi-square, ANOVA
- Correlation and regression basics
- A/B testing in a business context
Module 5: Data Cleaning & Exploratory Data Analysis — 12 Hours
- Data quality assessment and profiling
- Handling missing values: deletion, imputation, flagging
- Outlier detection and treatment
- Feature creation and binning
- Univariate, bivariate and multivariate analysis
- Correlation heatmaps and structuring an EDA report
Module 6: Power BI — 18 Hours
- Connecting to Excel, SQL, CSV and web sources
- Power Query Editor, data modelling and relationships
- DAX: calculated columns, measures, time intelligence
- Visual types, filters, slicers, bookmarks and drill-through
- Publishing to Power BI Service and scheduling refresh
- Row-level security basics
Module 7: Tableau — 10 Hours
- Tableau architecture, data connection and blending
- Dimensions, measures and calculated fields
- Filters, groups, sets and hierarchies
- Parameters and dynamic controls
- Reference lines, trend lines and forecasting
- Dashboards, actions and stories
Module 8: AI & Gen AI for Data Analysts — 8 Hours
- Prompt engineering for data tasks
- Generating and debugging SQL and Python with AI assistance
- Copilot in Excel and Power BI
- AI-assisted insight summaries and report drafting
- Verifying AI output: hallucinations, wrong aggregations, false confidence
- Data privacy and what should never be pasted into a public AI tool
Module 9: Capstone Projects & Career Preparation — 10 Hours
- End-to-end capstone project on a real business dataset
- Building a GitHub portfolio and dashboard showcase
- Analyst resume writing and LinkedIn optimisation
- SQL and case-study interview practice
- Mock interviews with feedback
Module · Topic · Hours · Tools
| Module | Topic | Hours | Tools |
|---|---|---|---|
| 1 | Excel for Data Analytics | 12 | Excel, Power Query |
| 2 | SQL & Database Management | 18 | MySQL |
| 3 | Python for Data Analytics | 20 | Python, Pandas, NumPy |
| 4 | Statistics & Business Mathematics | 12 | Excel, Python |
| 5 | Data Cleaning & EDA | 12 | Python, Pandas |
| 6 | Power BI | 18 | Power BI Desktop |
| 7 | Tableau | 10 | Tableau Public |
| 8 | AI & Gen AI for Analysts | 8 | ChatGPT, Copilot |
| 9 | Capstone & Career Prep | 10 | All tools |
| Total | 120 Hours | 10+ tools |
IK
Curriculum Reviewed by
Irshad Khan — Senior Trainer, 8+ Years Experience. Specialization: Data Science, Data Analytics, Business Analyst, SQL, Power BI, Python, Generative AI, Agentic AI.
Get Your Data Analytics Certification In Kakinada
The Uncodemy Data Analytics Program Certificate is awarded to Kakinada learners after every module, assignment and the capstone have been cleared. It names the course, states its duration, lists the tools covered, dates your completion and includes a reference code for authentication.
KG-basin employers run on audit trails, so your certificate travels with one: graded spreadsheet, SQL, Python, statistics, BI and Gen AI work plus a capstone you carried through alone.
Key Benefits of Our Data Analytics Certification:
- Program Completion: Logs completion of the full KG-coast batch curriculum.
- Online Verification: A portal lookup confirms it in seconds.
- Practical Learning: Rests on graded builds and your own capstone.
Plants, ports and recruiters anywhere can confirm a Kakinada learner's certificate through Uncodemy's online portal.
Uncodemy Certificate Verification — Online Certificate Verification & Download: certificate.uncodemy.com
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Tools and Technologies Covered
- Excel
- Tableau
- Power BI
- NumPy
- Python
- Pandas
- SQL
- Statistics
- ChatGPT
- Copilot
Introducing Uncodemy
Uncodemy Edutech Pvt. Ltd. runs Uncodemy, measuring each course by learner employment. Delhi and Noida host classroom groups; live online groups bring identical teaching to Kakinada and beyond.
Projects apply Excel, SQL, Python, statistics, Power BI, Tableau and Gen AI to real data — the work of analysts at gas terminals, fertiliser complexes, ports, seafood plants and hospitals on the coast. The module list is public before you join.
Each lecture is backed by mentor sessions, graded exercises, project feedback, interview practice and vacancy alerts. Before you pay, the career support policy is shared with you in writing so you can see what help is provided, what isn't and who is eligible.
Other courses for Kakinada learners
KG-coast learners leaning toward AI, ML, Data Science or Business Analysis can take those live online with Uncodemy instead.
Enroll in Our Data Analytics Training in Kakinada Today!
Start in Kakinada — stream live lectures, practise on gas, fertiliser, port and seafood data, build a portfolio and prepare for analyst roles on the coast, in Vizag, Hyderabad or remote teams.
Data Analyst Jobs and Career Scope in Kakinada & the KG basin coast
Kakinada is the operational heart of the Krishna–Godavari basin. Offshore gas fields send output to onshore terminals and processing facilities, supported by a large ecosystem of service, logistics and maintenance contractors. Two major fertiliser complexes and gas-based power plants convert that energy into products, generating continuous process, quality and dispatch data.
The city's deep-water port and the older anchorage port handle rice, edible oil, fertiliser and other bulk cargo, and the special economic zone nearby is drawing new industry. Seafood processing and export — especially shrimp — is a significant employer, along with rice milling across the fertile East Godavari plains.
Healthcare and education add further demand: Rangaraya Medical College and private hospitals serve a wide catchment, and JNTU Kakinada anchors a cluster of engineering colleges. Banks, cooperatives and government departments need MIS and credit analysts.
Visakhapatnam and Rajahmundry are close, Hyderabad is well connected and remote analytics roles are widespread. In every case SQL and a BI tool are expected; recruiters pick candidates who can frame the business question, choose the right metric and explain the recommendation clearly.
Job Roles After This Course
Course graduates on the KG coast generally apply for Data Analyst, Business Analyst, MIS Executive/Analyst, Business Intelligence Analyst, Marketing/Product Analyst and Operations Analyst vacancies. A urea plant wants to know why gas consumption per tonne crept up, a port why ships wait offshore, a shrimp exporter which suppliers deliver uneven counts — and each question is answered through SQL, spreadsheets and a BI dashboard.
| Role | Core Tools |
|---|---|
| Data Analyst | SQL, Excel, Python, Power BI |
| Business Analyst | SQL, Excel, BI tools |
| MIS Executive / Analyst | Excel, SQL, Power BI |
| Business Intelligence Analyst | Power BI, Tableau, SQL, DAX |
| Marketing / Product Analyst | SQL, Python, BI tools |
| Operations Analyst | Excel, SQL, Power BI |
Most Kakinada freshers start in a Data, MIS or Business Analyst seat and, after two to four years, specialise in process, supply-chain, BI or operations analytics — progress earned by delivering complete pieces of work and learning the plant's or port's language.
Data Analyst Salary in Kakinada — Experience-wise
Pay here tracks experience, sector and real SQL and BI depth; two analysts with one title can be paid very differently. Chart-only profiles start lower; efficient queries, sharp problem framing and persuasive recommendations start higher and climb faster.
| Career Level / Role | Indicative Salary Range |
|---|---|
| Entry-Level Data Analyst | ₹3–6 LPA |
| Data Analyst (Mid-Level) | ₹6–10 LPA |
| Senior Data Analyst | ₹10–15 LPA |
| Business Intelligence Analyst | ₹7–12 LPA |
Sources reviewed: AmbitionBox, Glassdoor, Indeed and Uncodemy placement records. Reviewed: 12 October 2026.
Fertiliser, gas and port employers often pay mid-band or above, seafood plants and local firms may open lower, and Vizag, Hyderabad or remote roles can pay more. Ranges are indicative; Uncodemy guarantees no salary or job.
Top Hiring Sectors for Data Analysts in Kakinada & the KG basin coast
Uncodemy places learners through 850-plus companies across India. On the Kakinada coast, analyst openings cluster in:
Oil and gas — terminal throughput, maintenance and field-logistics analytics
Fertilisers and power — conversion efficiency, energy, quality and dispatch reporting
Ports and shipping — anchorage, berth and cargo-handling dashboards
Seafood processing and rice export — supplier quality, grading and shipment tracking
Healthcare, education, Vizag, Hyderabad and remote roles — institutional and remote analytics work
Plants, ports and seafood exporters value different strengths; choose a target early and build your portfolio for it.
How to Become a Data Analyst — Step by Step
Analyst skill is built like a process plant: feed, reactor, separator and control room in sequence. Skip a unit and output suffers — usually in a technical interview or your first months on the job.
- 1
Feed preparation, Excel — XLOOKUP, pivots and Power Query for shift-wise or berth-wise summaries.
- 2
Reactor, SQL — learn to join process tags with batch records and dispatch tickets, write grouped totals, nested subqueries and window functions such as LAG for shift-over-shift comparisons.
- 3
Separator, Python — Pandas and NumPy for minute-level process data and automated reports.
- 4
Quality lab, statistics — control charts, hypothesis tests and regression so conclusions hold.
- 5
Control room, one BI tool — Power BI with DAX measures or Tableau with calculated fields, designed so a shift-in-charge spots an abnormal trend during the handover meeting.
- 6
Product, a coastal portfolio — three to five projects, perhaps ammonia-conversion variance, berth-occupancy patterns or shrimp count-size consistency, each ending with a recommendation.
- 7
Dispatch, the job hunt — timed SQL drills, mock cases and a CV listing measured results.
Kakinada learners typically become interview-ready after six to seven months of regular practice; a disciplined evening hour, even after a long plant shift, works better than weekend marathons.
How This Course Compares to Other Data Analytics Courses in Kakinada
Analytics courses for Kakinada learners range from local classes to Hyderabad bootcamps. Here's what Uncodemy's includes.
| Factor | This Program |
|---|---|
| Duration | 6–7 months |
| Learning hours | 120+ hours |
| Tools covered | 10+ tools |
| Gen AI module | Dedicated 8-hour module |
| Projects | 5 guided + 1 capstone |
| Career support | Resume, LinkedIn, mock interviews, hiring network |
It's longer and broader because a junior on the KG coast may need Excel, SQL, Python and a dashboard for one request. Recorded courses cost less; someone after only an Excel and Power BI refresh could choose one.
Online vs Offline vs Hybrid — Which Should You Choose?
Syllabus, trainers, projects and fee don't change with format. From Kakinada, live online lectures are the clear choice — real-time teaching at home and timings that fit plant shifts, port rosters or college.
Uncodemy's classrooms are about 1,600 km north in Noida and Delhi's Shakarpur area, so hybrid isn't practical here. Remote learners keep every service — live teaching, recordings, doubt clinics and placement support — and an approved format switch keeps progress.
Is this course right for you?
| If you want... | Recommend |
|---|---|
| Only Excel + Power BI basics | A shorter course may be sufficient |
| Full analyst career transition | This program |
| Heavy ML/Data Science | Choose Data Science |
| Business-focused analytics | Consider Business Analytics |
| Self-paced learning | Recorded course |
Instructors for the Data Analytics Course in Kakinada
The people who teach Kakinada batches. There is no Uncodemy classroom in Kakinada, so learners from Kakinada & the KG basin coast join the live online batches taught by the same trainers who run classroom sessions in Delhi and Noida. The Data Analytics track is led by Irshad Khan, Senior Trainer, who reviewed and signed off this curriculum.
Technical content is checked separately by domain reviewer Upendra Kumar Tiwari, so the person teaching a topic is not the only one verifying it. When a learner from Kakinada wants a capstone built on oil and gas or ports and shipping data, the trainer helps frame the questions, clean the dataset and design the dashboard.
Every trainer is listed by name on the Uncodemy trainers page, so you can check their background before you enrol.
Mr. Kunal Arora
Data Analytics Trainer
ExpertisePythonSQLExcelPower BITableauMLDLNLPTime SeriesIoT DevicesPrompt EngineeringChatbots
About
5+ years in logistics and consumer-brand analytics, with a strong focus on time series, NLP and applied automation.
Live projects
Speech-to-text using core NLP (T2S), talent acquisition research, and product launch & CMS work on keventers.com using Sparktech.
Ms. Rachna Verma
Data Analytics Trainer
ExpertiseAdvanced ExcelSQLPower BITableauPythonData VisualisationStatistics
About
Trainer for the analytics and business intelligence track at Uncodemy, working with learners on Excel, SQL and BI tooling from first principles to interview-ready projects.
Live projects
Guides classroom capstones on sales and customer dashboards, KPI reporting and end-to-end data cleaning workflows.
Mr. Abhi
Data Analytics Trainer
ExpertisePythonSQLPower BIExcelTableau
About
3+ years building generative AI and machine learning systems, now Senior Gen AI Engineer at Uncodemy, with deep work in RAG, knowledge graphs, data analysis and AWS.
Live projects
NEMI, an enterprise memory system built on RAG, knowledge graphs and vector databases, plus automated web-scraping bots and generative AI chatbots and predictive analytics for startups.
Mr. Rahul
Data Analytics Trainer
ExpertiseSQLAdvanced ExcelPower BIPythonTableau
About
14+ years in banking and insurance operations at Aon Hewitt, NIIT Technologies and Coforge, now teaching Excel, SQL, Python and Power BI through real business scenarios.
Live projects
MIS reports and Excel dashboards for leadership tracking SLAs, error rates and backlog, SQL data cleaning and validation across systems, and live Power BI dashboards.
Mr. Anshul
Data Analytics Trainer
ExpertisePythonSQLExcelPower BIData Visualization
About
5+ years across roles at Concentrix, Amazon and Tech Mahindra. A certified Data Scientist who now teaches data science and analytics as Academic Faculty at Uncodemy.
Live projects
Credit risk management analytics at Tech Mahindra, business communications analytics, and chatbot solutions built with prompt engineering and machine learning.
Mr. Upendra Kumar Tiwari
Senior Data Science Trainer
ExpertiseData ScienceData AnalyticsMachine Learning
About
15+ years of industry experience building production machine learning systems for retail, telecom and consulting teams.
Live projects
Modelling security breaches in iOS apps, dormant customer prediction and factor analysis, last-mile delivery optimisation, and credit card fraud detection.
Mr. Irshad Khan
Data Analytics & AI Trainer
ExpertisePythonSQLMachine LearningTableauArtificial IntelligenceDeep LearningPower BIMLOps
About
8+ years across consulting and public-sector analytics, with deep hands-on work in AI and MLOps delivery.
Live projects
Built an OCR model, a disease-prediction model, and a fraud-control model deployed across every Indian state under the Ministry of Health & Welfare.
Mr. Syed Najeeb
Data Analytics & AI Trainer
ExpertisePythonMLDLNLPPower BITableauSPSSSASMS-ExcelSQLHTMLCSS
About
7+ years turning aviation and enterprise data into forecasting models, dashboards and AI assistants.
Live projects
AI agent chat/voice bot, AI-driven data analysis, a sales-forecasting ML model, NPS data model evaluation, and a face-recognition model for biometrics.
Dr. Vijay K. Gupta
MD & CEO
ExpertiseEdTech LeadershipEducation & TrainingResearch & Mentorship
About
Founder, MD & CEO of Uncodemy and GS Net Academy, with experience in education, technology leadership, research, mentorship and career development.
Live projects
Leads strategic direction, academic initiatives, technology-driven education programs and mentorship across Uncodemy and GS Net Academy.
Gangesh Kumar Gaunr
CEO & Founder
ExpertiseTechnology StrategyCloud & AI SolutionsEdTech Leadership
About
CEO & Founder of GvCloud Secure and Uncodemy with 14+ years of professional experience building scalable web, mobile and AI-driven solutions for clients across India, USA, UK, Canada, Australia and Singapore.
Live projects
Leads technology strategy, scalable web and mobile solutions, AI-driven products and EdTech initiatives across Uncodemy and GvCloud Secure.
Frequently Asked Questions
What is the duration of the Data Analytics course in Kakinada?
Expect six to seven months: more than 75 live online lectures and over 120 learning hours, offered in weekday and weekend batches that accommodate rotating plant and port shifts.
Can I learn data analytics without a coding background?
No programming background is required. Chemistry graduates, commerce students and arts graduates in Kakinada all begin SQL with a basic SELECT and Python with simple variables, while the first two months focus mainly on Excel and SQL.
What tools are covered in this course?
Ten-plus: SQL with Python's Pandas and NumPy for crunching; Statistics for inference; Excel, Tableau and Power BI for display; Copilot and ChatGPT for speed.
Does the course include a Gen AI module?
Module 8 dedicates eight hours to Generative AI for analysts: framing a process or shipping question for an AI assistant, checking whether its SQL or Python is correct, using Copilot within Excel and Power BI, and discarding results that fail an engineering sanity check.
How many projects will I complete?
Six: five guided builds and a capstone you choose. Urea-plant efficiency or anchorage-wait data would resonate with Kakinada employers.
Are the classes live or pre-recorded?
All 75-plus sessions are live, with recordings afterwards; one syllabus spans every format.
What is the fee for the Data Analytics course in Kakinada?
KG-coast learners pay ₹20,650 in total — ₹17,500 plus 18% GST — with EMIs from ₹4,032 a month.
Are EMI options available?
EMI plans are offered from ₹4,032 per month. The exact instalment, tenure and approval depend on the financing partner, and your counsellor will set it up.
Is there a demo class before I enrol?
Yes — book a free trial lecture from Kakinada to see a trainer at work before paying.
Do you provide placement assistance?
Yes. Our career team helps you strengthen your CV and LinkedIn profile, reviews your portfolio, organises mock interviews and circulates vacancies from more than 850 partner companies. The final hiring decision always lies with the employer, so a job cannot be guaranteed.
Can a fresher get a data analyst job after this course?
Freshers are hired regularly on the KG coast — by fertiliser and gas companies, port operators, seafood exporters, hospitals and remote analytics teams — provided they can demonstrate working SQL, a dashboard tool and completed projects. Starting salaries typically fall around ₹3–6 LPA.
What is the salary of a data analyst in Kakinada?
Indicatively, freshers earn about ₹3–6 LPA, analysts with a few years' experience ₹6–10 LPA and senior analysts ₹10–15 LPA. Energy-sector employers may pay toward the upper end, smaller local firms toward the lower; Uncodemy commits to no figure.
What job roles can I apply for after this course?
KG-coast alumni typically start as Data, MIS or Business Analysts and move into process, supply-chain, BI or operations analytics.
Who is eligible for this Data Analytics course?
Any graduate, regardless of discipline, may enrol; previous coding or analytics knowledge is not expected, and Kakinada batches usually include engineering finalists, plant and port staff, and career changers.
Are the salary, placement and review figures on this page guaranteed?
No. They're indicative values drawn from Uncodemy's placement records and public review platforms, both revised from time to time. Each learner's result depends on capability, experience, location, employer and timing, and EMI approval rests with the lender.
Is classroom training available in Kakinada?
There's no Uncodemy classroom on the KG coast; learners join the same batches online. In Delhi, the Shakarpur Extension office is near Nirman Vihar Metro.
Which companies hire Uncodemy learners?
More than 850 companies hire through our network, including Clarivate, Fiserv, HSBC, upGrad and Genpact. Placement records show learners joining HSBC and Fiserv as Business Analysts, Genpact as a Process Developer Analyst and Clarivate as an Intellectual Property Analyst.
Student Project For Data Analytics
These five capstones were built by Uncodemy learners and mentored by our trainers. Each card shows the tools used, the mentor, the learner who built it and a Kakinada version you can attempt with local data.
UncodemyDATA ANALYTICSSales Analysis Dashboard
A fictional supermarket chain's till records are cleaned using SQL Server and arranged in a Power BI report that lets managers compare branches, weeks and product categories side by side.
Kakinada version: Run the same SQL Server + Power BI pipeline on oil and gas sales from Kakinada and compare months, products and outlets.
Python
Excel
Power BI
SQL
Ms. Rachna VermaData Analytics Trainer
Sagar Bajirao ShembadeData AnalystUncodemyDATA ANALYSTMusic Store Analysis
Learners design an online music retailer's tables in PostgreSQL through PgAdmin4, load sample data and use SQL to determine top-earning genres and loyal customers.
Kakinada version: Model a seafood processing catalogue the same way and rank items, customers and areas of Kakinada & the KG basin coast by revenue.
Power BI
DAX
CSV
GitHub
Dr. Vijay K. GuptaMD & CEO
Ankit SinghData AnalystUncodemyDATA ANALYTICSCovid 19 Pandemic Analysis
Publicly available COVID-19 data for India is reconciled in Pandas, turned into growth and fatality rates with NumPy and plotted state by state with Matplotlib inside Jupyter.
Kakinada version: Clean and chart public health or footfall data for Kakinada & the KG basin coast with the same Pandas and Matplotlib workflow.
Python
Pandas
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Mr. Upendra Kumar TiwariSenior Data Science Trainer
Shruti SaxenaData AnalystUncodemyDATA ANALYTICSCompany Insights 360°
Python, SQL and Power BI are combined into a monthly production, dispatch and manpower report for an imaginary urea manufacturer.
Kakinada version: Build a scorecard of ports and shipping employers around Kakinada — size, hiring trend and pay bands — with SQL and DAX.
PythonSQLPower BIDAXMs. Rachna VermaData Analytics Trainer
Rajat KashyapData AnalystUncodemyDATA ANALYTICSIPL Analysis Dashboard
Many IPL seasons are analysed for batting and bowling patterns by venue and match phase, with results shown across more than 44 charts.
Kakinada version: Swap IPL data for oil and gas seasonality in Kakinada and show peaks, slumps and outliers in one dashboard.
PythonJupyter NotebookPower BISQLMr. Upendra Kumar TiwariSenior Data Science Trainer
Pawan MehraData AnalystWhy Trust This Page? Discover Why Students Choose Uncodemy
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