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🔥 Most Popular in machilipatnam

Data Science Training Course in machilipatnam With Gen AI by Uncodemy

Learners based in Machilipatnam have the option to enroll in Uncodemy's instructor-guided Data Science with Generative AI course, which runs for 8–9 months. The program addresses Python, SQL, statistics, machine learning, deep learning, Power BI, Tableau, and Gen AI via live virtual sessions. Participants additionally gain hands-on project experience, access to recorded sessions, and career assistance. The course fee stands at ₹21,500 plus 18% GST, amounting to ₹25,370 in total.

⚡ LIMITED TIME OFFER

Special Offer: Data Science with AI

Now Pay Only
₹21,500/-
+GST
2-Class Trial
Attend 2 Classes
No Hidden Charges
100% Transparent
EMI AVAILABLE
Starts at ₹4,622/M
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Expert Trainers

Learn from 8+ years experienced professionals

Live Projects

Work on real-time projects & case studies

Lifetime Access

Get lifetime access to recorded sessions & materials

Dedicated Career & Placement Assistance

Resume Building, Mock Interviews & Job Support

Certified Course

Certificate of Completion from Uncodemy

Flexible Batches

Weekday & Weekend Online & Offline

Why Choose
Uncodemy?

14+
Years of Training Excellence
850+
Companies in Our Hiring Network
54,000+
Learners Trained
200+
Corporate Associations
100%
Placement Support
Online & Offline Classes
Weekend & Weekday Batches
100% Practical Training
Affordable Fees
EMI Options Available
Dedicated Support

Program Details

Data Science with AI — Training & Placement Program This program serves as a practical pathway for professionals aiming to strengthen their Data Science expertise while boosting their performance in job interviews.
This 8–9 month instructor-led course teaches Python, SQL, statistics, machine learning, deep learning, Power BI, Tableau and Gen AI through guided practice, project work, mentoring, and career support.
📚 Learning:
150+ Hours of Learning
⏱️ Program Duration:
8–9 Months
🎓 Live Training:
90+ Live Sessions
🛠️ Technology Coverage:
15+ Tools & Technologies
💼 Practical Learning:
Hands-on Projects & Case Studies
💰 Program Fee:
₹21,500 + 18% GST
💰 Total Fee:
₹25,370
💳 EMI:
Starting From ₹4,622/Month*
🚀 Career Support:
Dedicated Career & Placement Assistance
🏢 Hiring Network:
850+ Companies in Our Hiring Network
🎯 Career Support Includes:
Resume Building & LinkedIn Optimization, Mock Interviews & Interview Preparation, Career Guidance & Job Opportunity Assistance

Data Science Course in machilipatnam — Quick Facts

🎓 Course:
Data Science with Gen AI
🏢 Provider:
Uncodemy Edutech Pvt. Ltd.
📚 Total Learning:
150+ Hours
📖 Curriculum:
11 Modules
💼 Projects:
5 Guided + 1 Capstone
🛠️ Tools:
Python, SQL, Statistics, Machine Learning, Deep Learning, Power BI/Tableau, Gen AI
🌐 Mode:
Live Online for machilipatnam learners
🏢 Offline:
Available only at Delhi & Noida centres
✅ Prior Coding:
Not Required
📜 Certificate:
Uncodemy Program Certificate
🗓️ Last Reviewed:
15 September 2026

List of Placed Students Trained by Uncodemy

Uncodemy's Data Science training gives completing students real-world knowledge of Python, SQL, statistics, machine learning, deep learning, Power BI/Tableau, and Gen AI. Once the course and career preparedness assistance are done, eligible learners can look toward positions including Data Scientist, ML Engineer, Data Analyst, and Business Intelligence Analyst.

machilipatnam learner placement records are refreshed regularly. Verified outcomes are available at uncodemy.com/placement

ankit singh
4.8 LPA
Hyderabad

Ankit Singh

Data Analyst

Placed at:FINELABS

Data Analytics Batch
Batch: DA/09/0823/S WD 7PM
Read placement record
ashish-butola
4.8 LPA
India

Ashish Butola

Data Analyst

Placed at:Allsoft Solutions

Data Analytics Batch
Batch: DS/12/0823/IR WE 12 PM
Read placement record
Rajat
4.0 LPA
Delhi

Rajat Kashyap

Data Analyst

Placed at:Hexalog

Data Analytics Batch
Batch: DS/DA Weekend July Batch 10 AM
Read placement record
Sagar
3.25 LPA
Pune

Sagar B. Shembade

Data Analyst

Placed at:SmartStudy

Data Analytics Batch
Batch: DA/WD/S 08:00 PM 08 JAN-UC
Read placement record
ankit singh
4.8 LPA
Hyderabad

Ankit Singh

Data Analyst

Placed at:FINELABS

Data Analytics Batch
Batch: DA/09/0823/S WD 7PM
Read placement record
ashish-butola
4.8 LPA
India

Ashish Butola

Data Analyst

Placed at:Allsoft Solutions

Data Analytics Batch
Batch: DS/12/0823/IR WE 12 PM
Read placement record
Student Image
3.0 LPA
Noida

Priyanka Kumari

Data Analyst

Placed at:CloudFirst Digital

Data Analytics Batch
Batch: DS/DA Weekend July Batch 10 AM
Read placement record
Student Image
3.0 LPA
Delhi

Shruti Saxena

Data Analyst

Placed at:Jepius Healthcare

Data Analytics Batch
Batch: DS/DA/09/UP WD 12:30 PM
Read placement record

What is Data Science?

Data Science brings together statistics, programming, mathematics, and business context to find useful meaning in structured and unstructured information. It is used to discover patterns, create predictive models, and support decisions based on evidence. Healthcare, finance, retail, manufacturing, and technology organisations use it to improve products, streamline operations, and understand customer behaviour.

What does a data scientist do? A data scientist gathers information from different sources, prepares it for analysis, trains machine learning models, checks their performance, and explains the results to stakeholders. The job combines Python, SQL, statistics, and machine learning with the ability to turn complex analysis into clear business recommendations. Much of the work takes place during data preparation and exploration before modelling starts.

Data Analytics vs Data Science vs Business Analytics

Data analytics investigates past events, data science forecasts what may come next, and business analytics connects those findings with business processes and strategy.

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 ₹4–8 LPA ₹4–7 LPA
Time to job-ready 6–7 months 8–9 months 5–6 months

Salary ranges are indicative and vary by role, skills, experience, location and employer.

Course Overview

The machilipatnam program runs for 8–9 months and includes 90+ live sessions with more than 150 hours of learning. Its 11 modules progress through Python, SQL, statistics, data cleaning, machine learning, deep learning, NLP, Power BI/Tableau, Gen AI, MLOps, and capstone work. Learners practise on real datasets throughout the course and finish with a capstone project for their portfolio. Classes are live online for machilipatnam learners, with recordings available for revision.

Who should join this course:

  • Fresh graduates from any stream — B.Com, BBA, B.Sc, B.Tech, BA, BCA — who want an entry into data science.
  • Working professionals in operations, sales, finance, HR or marketing who want to upskill into data science.
  • Career changers moving from non-technical roles into a data role.
  • MIS and reporting executives who want to move up from Excel into SQL, Python and ML.
  • machilipatnam-based learners who want structured Data Science training through live online classes.

Eligibility: Applicants need a graduate degree in any discipline. Coding experience is not required because Python and SQL start from the basics. Familiarity with elementary mathematics can help, but the statistics module develops the necessary foundation. Learners should have a laptop with 8GB RAM and a stable internet connection for practical work.

Upcoming Data Science Course Batches in machilipatnam

Find a batch time that suits your routine and attend a free demo to understand the learning experience. Weekday and weekend live batches are available for students and working professionals, with flexible schedules and project-based instruction.

Weekdays

Date Time Trainer Seats Left
22Sept 07:30 PM – 08:30 PM Mr. Upendra Kumar Tiwari 02Seats
28Sept 02:00 PM – 03:00 PM Mr. Irshad Khan 01Seat
02Oct 10:30 AM – 11:30 AM Ms. Rachna Verma 02Seats
06Oct 12:00 PM – 01:00 PM Mr. Syed Najeeb 01Seat

Weekends

Date Time Trainer Seats Left
27Sept 03:00 PM – 05:00 PM Mr. Kunal Arora 02Seats

Seats are limited and updated daily. All timings are in IST.

Curriculums for Data Science Training Courses In machilipatnam

Data Science Course Syllabus in machilipatnam

The machilipatnam syllabus is divided into 11 modules and delivers more than 150 hours of learning. It follows the practical data journey: obtain the information, clean it, analyse it, build a model, interpret the result, visualise it, and communicate it. Each module ends with a graded assignment using a real dataset, and the final module brings the work together in portfolio projects.

Module 1: Python for Data Science — ~20 hrs

  • 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 2: SQL & Database Management — ~15 hrs

  • 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: Statistics & Probability for Data Science — ~15 hrs

  • 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 4: Data Cleaning & Exploratory Data Analysis — ~12 hrs

  • 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 5: Machine Learning (Supervised & Unsupervised) — ~25 hrs

  • Supervised learning: linear regression, logistic regression, decision trees, random forests
  • Unsupervised learning: k-means clustering, hierarchical clustering, PCA
  • Model evaluation: accuracy, precision, recall, F1, ROC-AUC
  • Cross-validation and hyperparameter tuning
  • Feature engineering and selection
  • Ensemble methods: bagging, boosting, XGBoost

Module 6: Deep Learning & Neural Networks — ~15 hrs

  • Neural network fundamentals: perceptrons, activation functions
  • Backpropagation and gradient descent
  • TensorFlow and Keras for building models
  • Convolutional Neural Networks (CNNs) for image data
  • Recurrent Neural Networks (RNNs) for sequential data
  • Regularization: dropout, batch normalization

Module 7: Natural Language Processing (NLP) — ~10 hrs

  • Text preprocessing: tokenization, stemming, lemmatization
  • Bag of Words, TF-IDF and word embeddings
  • Sentiment analysis and text classification
  • Named Entity Recognition (NER)
  • Introduction to transformer models
  • NLP applications in business

Module 8: Power BI & Tableau for Data Science — ~15 hrs

  • Connecting to Excel, SQL, CSV and web sources
  • Power Query Editor, data modelling and relationships
  • DAX: calculated columns, measures, time intelligence
  • Tableau architecture, data connection and blending
  • Visual types, filters, slicers, bookmarks and drill-through
  • Publishing dashboards and scheduling refresh

Module 9: Generative AI, LLMs & Prompt Engineering — ~10 hrs

  • Introduction to Large Language Models (LLMs)
  • 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

Module 10: MLOps & Model Deployment — ~8 hrs

  • Introduction to MLOps and the ML lifecycle
  • Model versioning and experiment tracking with MLflow
  • Building ML pipelines
  • Model deployment: Flask, FastAPI, cloud services
  • Monitoring model performance in production
  • CI/CD for machine learning

Module 11: Capstone Projects & Career Preparation — ~10+ hrs

  • End-to-end capstone project on a real business dataset
  • Building a GitHub portfolio and dashboard showcase
  • Data science resume writing and LinkedIn optimisation
  • SQL and case-study interview practice
  • Mock interviews with feedback
# Module Hours Tools
1 Python for Data Science 20 Python, Pandas, NumPy, Jupyter
2 SQL & Database Management 15 MySQL, PostgreSQL
3 Statistics & Probability 15 Excel, Python
4 Data Cleaning & EDA 12 Python, Pandas
5 Machine Learning 25 Scikit-learn, XGBoost
6 Deep Learning & Neural Networks 15 TensorFlow, Keras
7 Natural Language Processing 10 NLTK, spaCy
8 Power BI & Tableau 15 Power BI Desktop, Tableau Public
9 Generative AI, LLMs & Prompt Engineering 10 ChatGPT, Copilot
10 MLOps & Model Deployment 8 MLflow, Flask
11 Capstone Projects & Career Preparation 10+ All tools
Total 150+ Hours 15+ tools

Contacted by

UK

Upendra Kumar Tiwari

Senior Data Science Trainer

15+ Years Experience

Specialization:Data Science, Data Analytics, Machine Learning, Deep Learning, AutoML, ML on Cloud, NLP

Get Your Data Science Certification In machilipatnam

After completing all 11 modules, the required assignments, and the capstone project, learners receive the Uncodemy Data Science Program Certificate. It records the program name, duration, tools covered, completion date, and verification reference. The certificate is issued after the required coursework and assessment are completed.

The certificate is accompanied by the practical work created during training. Learners use Python, SQL, statistics, machine learning, deep learning, Power BI, Tableau, and Gen AI in assignments and projects, while the capstone demonstrates how the course concepts can be applied together.

Key Benefits of Our Data Science Certification:

  • Program Completion :Provides a record of successful completion of the Data Science program.
  • Online Verification :The certificate includes a verification reference that can be checked online.
  • Practical Learning :The training includes assignments, projects and a capstone project using Data Science tools.

machilipatnam learners completing Uncodemy’s Data Science course receive a verified Program Certificate. Its details can be checked online through the official Uncodemy Certificate Portal.

Uncodemy Certificate VerificationOnline Certificate Verification & Downloadcertificate.uncodemy.com
 IIBA Endorsed Education Provider certificate — Uncodemy
 Uncodemy Data Science Program Certificate
 Uncodemy MSME registration certificate

Tools and Technologies Covered

Apply Now

Introducing Uncodemy


Portfolio review:Your experience and guided projects are reviewed and refined into a portfolio an interview will find credible.

Resume & LinkedIn:We build your resume around your keywords and measurable outcomes, and align your LinkedIn profile to match.

Interview preparation:SQL problem sets, Python coding tasks, case studies, and behavioral questions specific to data science hiring.

Mock interviews:Sessions with industry trainers, followed by written feedback on what to fix.

Opportunity sharing:Relevant openings from our hiring network of 850+ companies are shared with you, with support through the application and interview process.

Continued support:This is active assistance, not a guarantee of employment — no training institute can honestly promise a job. Support continues after your program ends for learners who stay engaged with the process.

Instructors

The people who actually teach this course

Uncodemy separates two roles that most institutes combine. Trainers deliver the live sessions. Domain reviewers — separate specialists who don't teach the batch — verify that the curriculum is technically accurate and current. For this program, the technical content is reviewed by Mr. Upendra Kumar Tiwari. It means the person teaching a course is not the only person checking whether its content is correct.

Every trainer and domain reviewer associated with Uncodemy is published by name, with their domain and background — you can look them up before you enrol rather than after.

Enroll in Our Data Science Training in machilipatnam Today!

Enroll in Uncodemy's Data Science Training for machilipatnam learners today! Develop practical Data Science skills through live online instructor-led training, hands-on projects, Gen AI exposure and dedicated career preparation. Start learning Data Science through structured live online classes designed for machilipatnam learners.

Data Scientist Jobs and Career Scope in machilipatnam+

machilipatnam — a major textile and bus body building hub in Tamil Nadu, located on the banks of the Amaravathi River, about 75 km from Tiruchirappalli (Trichy) — is a growing market for data-driven roles. The city's traditional strengths in home textiles, bus body manufacturing, gem cutting, and agriculture are increasingly intersecting with analytics and AI — creating demand for data professionals in areas like textile analytics, supply-chain optimisation, manufacturing analytics, retail analytics, banking analytics and public-sector data work.

The IT and software services sector accessible to machilipatnam learners — through Trichy's IT parks, Coimbatore's IT corridor, and the growing Erode–Salem belt — includes established firms, GCCs and a growing startup ecosystem, all of which need data professionals who can work with Python, SQL and machine learning frameworks. BFSI — banks, NBFCs, cooperative banks and fintech firms across Tamil Nadu — hires for credit risk, fraud detection, customer segmentation and regulatory reporting roles. Textiles and home furnishings — a major part of the machilipatnam economy — hire data scientists for demand forecasting, inventory optimisation, supply-chain analytics and pricing models. Bus body building and automotive manufacturing use predictive analytics for production forecasting, quality control, and predictive maintenance.

Agriculture and food processing, healthcare, education, e-commerce, logistics and consulting firms also hire data scientists, often for roles that blend analytics with business strategy. For machilipatnam-based learners, the advantage is that Trichy and Coimbatore are major job markets, and many roles can be pursued remotely or through companies with distributed teams. Building a strong portfolio with real projects and demonstrating practical skills in SQL, Python and at least one ML framework is what typically separates candidates in interviews.

Job Roles After This Course+

After completing the Data Science training program, learners can apply for a range of roles that require skills in Python, SQL, machine learning, statistics and data visualisation. The specific role you target will depend on your prior experience, domain interest and the depth of your project portfolio. Most graduates begin in analyst or junior data scientist positions and progress into more specialised roles with experience.
Role Core Tools
Data Scientist Python, SQL, Scikit-learn, TensorFlow
ML Engineer Python, TensorFlow, MLflow, Docker
Data Analyst SQL, Excel, Power BI, Python
Business Intelligence Analyst Power BI, Tableau, SQL, DAX
Data Engineer SQL, Python, ETL tools, Cloud platforms
AI/ML Research Associate Python, PyTorch, TensorFlow, NLP libraries
The transition from one role to another usually happens after you have worked on end-to-end projects and developed domain knowledge in a specific industry or function. Employers hiring for data science roles typically expect evidence of practical work — a portfolio of projects, familiarity with real datasets, and the ability to explain your approach clearly.

Data Scientist Salary in machilipatnam — Experience-wise+

Salaries for data science roles vary significantly based on experience level, sector, company size and the specific skills you bring. The figures below are indicative and labelled as realistic expectations for the Trichy–Coimbatore corridor; they should not be interpreted as verified machilipatnam salary data.
Level Salary Range
Internship / Trainee ₹10k–30k/month
Fresher Data Analyst ₹3–6 LPA
Fresher / Junior Data Scientist ₹4–8 LPA
Strong fresher with good projects + skills ₹6–10 LPA
Data Scientist (1–3 years) ₹8–15 LPA
Data Scientist (3–5 years) ₹12–20+ LPA
Strong experienced candidate / product company ₹20–30+ LPA
Sources reviewed: AmbitionBox, Glassdoor, Indeed and Uncodemy placement records. Reviewed: September 2026.

Salary ranges are indicative and vary by role, skills, experience, location and employer. Uncodemy does not guarantee any specific salary or employment outcome.

Top Hiring Sectors for Data Scientists in machilipatnam+

Uncodemy works with 850+ companies in our hiring network across India, spanning large enterprises, mid-size firms and fast-growing startups, which gives learners exposure to more than one kind of hiring process and interview style. In machilipatnam and the wider Kongu region, data science demand is strongest in:
  • Textiles and home furnishings— machilipatnam is a leading textile hub in Tamil Nadu, especially for home textiles and made-ups; textile firms hire for demand forecasting, inventory optimisation, supply-chain analytics, quality control and pricing models.
  • Bus body building and automotive— machilipatnam is known for bus body manufacturing; automotive and engineering firms hire for production forecasting, quality control, predictive maintenance and supply-chain optimisation.
  • Agriculture and food processing— machilipatnam and the surrounding Kongu region are major agricultural belts; agri-tech firms, cooperatives and food-processing companies hire for crop-yield forecasting, cold-chain analytics, supply-chain optimisation and quality control.
  • IT and IT-enabled services (Trichy/Coimbatore corridor)— machilipatnam's proximity to Trichy and Coimbatore gives learners access to product companies, GCCs and startups that hire data scientists and ML engineers for client projects, product development and analytics delivery.
  • Banking and financial services— banks, NBFCs, cooperative banks and fintech firms across Tamil Nadu hire for credit risk, fraud detection, customer segmentation and regulatory reporting roles.
  • Healthcare and education— hospitals, diagnostic chains, schools, colleges and edtech firms hire for patient-flow forecasting, clinical data analysis, learning analytics and market research.
Each of these sectors tends to weight skills slightly differently, so as you get closer to placement, it helps to tailor your portfolio projects toward the one or two sectors you're most interested in.

How to Become a Data Scientist — Step by Step+

Becoming a data scientist is a step-by-step skill build, not a single course, and skipping steps usually shows up later as gaps in interviews or on the job.
  1. Learn Python— Start with Python fundamentals: variables, data types, loops, functions, and then move to libraries like NumPy and Pandas for data manipulation. Python is the primary language for data science and the foundation for everything that follows.
  2. Build statistics foundations— Descriptive statistics, probability, hypothesis testing and regression are essential. You need enough statistics to run a hypothesis test, interpret a p-value and read a regression output so your conclusions hold up when questioned.
  3. Learn SQL— Almost every data science role starts with pulling and shaping data from a database. Learn joins, aggregations, subqueries and window functions to a working standard.
  4. Master machine learning— Supervised and unsupervised learning algorithms, model evaluation metrics, cross-validation and hyperparameter tuning. This is where you learn to build predictive models.
  5. Add deep learning— Neural networks, CNNs, RNNs and frameworks like TensorFlow and Keras. Deep learning is essential for image, text and sequential data problems.
  6. Build portfolio projects— Three to five projects with a business question, a clear approach and a recommendation. Ideally, these draw from a sector you want to work in. A capstone project that demonstrates end-to-end skills is particularly valuable.
  7. Prepare and apply— SQL practice, case-study rehearsal, a targeted resume and LinkedIn profile that highlights outcomes, not just tools. Mock interviews help you get comfortable explaining your work.
Typical timeline: 8–9 months of consistent study to reach interview-ready standard, assuming a few focused hours most days.

How This Course Compares to Other Data Science Courses in machilipatnam+

machilipatnam and the wider Kongu region offer a range of data science training options at very different price points, ranging from short weekend workshops to multi-month bootcamps. Here is an honest comparison, so you can judge the fit yourself rather than relying on marketing claims alone.
Factor This Program
Duration 8–9 months
Learning hours 150+ hours
Tools covered 15+ tools
Gen AI module Dedicated 10-hour module
Projects 5 guided + 1 capstone
Career support Resume, LinkedIn, mock interviews, hiring network
The extra duration and tool coverage exist because most hiring managers today expect candidates who are comfortable moving between Python, SQL, statistics, ML frameworks and a BI tool depending on the task, rather than being strong in only one.

Where we are not the cheapest option: Shorter self-paced courses cost less. Uncodemy may not be the cheapest option if your goal is a quick refresher rather than a full career transition. If you want to test the waters with a short course before committing to a longer program, that is a reasonable path, and it's worth being honest with yourself about which of the two you actually need.

Online vs Offline vs Hybrid — Which Should You Choose?+

All three formats cover the identical syllabus, trainers and projects — the fee is the same, so the choice comes down to your own schedule and learning preference rather than content quality.

Online (Live Online): For machilipatnam learners, live online is the primary mode of training. You join live sessions from home, interact with trainers and batchmates, and can revisit recordings for revision. This suits working professionals and those who cannot relocate or commute to a classroom. Offline classroom is available at our Delhi and Noida centres; machilipatnam learners typically join live online.

Offline (Classroom): Classroom training is available at Uncodemy's Delhi and Noida centres. This format suits learners who want in-person doubt clearing, peer interaction and a fixed schedule that helps them stay consistent. If you are based in or can travel to Delhi or Noida, classroom training is an option.

Hybrid: Hybrid suits learners who want flexibility with occasional in-person sessions. This format may be useful if your schedule changes week to week but you still want some face-to-face time with trainers and batchmates. Availability may vary by batch.

All formats include live instructor interaction, recorded sessions for revision, doubt-clearing support, and the same career support, so switching formats midway (where allowed) does not mean losing any part of the program.

Is this course right for you?+

If you want... Recommend
Structured Data Science learning Yes
Live instructor-led classes Yes
Practical projects Yes
Gen AI exposure Yes
machilipatnam classroom training No — live online is the available option
Delhi/Noida classroom training Yes

Frequently Asked Questions

1. What is the duration of the Data Science course in machilipatnam?

The program runs for 8–9 months and includes 150+ hours of learning across 90+ live sessions. Weekday and weekend batches are both available for machilipatnam learners through live online classes.

2. Can I learn data science without a coding background?

Yes. No prior programming experience is required. Python and SQL are taught from the beginning, and the early modules focus on fundamentals that need no prior coding experience.

3. What tools are covered in this course?

15+ tools including Python, SQL, Statistics, Pandas, NumPy, Scikit-learn, TensorFlow/Keras, Power BI, Tableau, Matplotlib/Seaborn, Jupyter, Google Colab, ChatGPT, Copilot and MLflow.

4. Does the course include a Gen AI module?

Yes. Module 9 is a dedicated 10-hour module on Generative AI, LLMs and prompt engineering, covering AI-assisted SQL and Python, Copilot in Excel and Power BI, and verifying AI output.

5. How many projects will I complete?

Five guided projects across domains like retail, banking, healthcare and NLP, plus one capstone project of your own choosing. All projects go into a portfolio you can show in interviews.

6. Are the classes live or pre-recorded?

All 90+ sessions are live and instructor-led, with recordings available afterwards for revision. Live online is the available format for machilipatnam learners.

7. What is the fee for the Data Science course in machilipatnam?

The program fee is ₹21,500 plus 18% GST, total ₹25,370. This covers all sessions, materials, projects, certification and career support, with no additional charges.

8. Are EMI options available?

Yes. EMI starts from ₹4,622 per month for 6 months. The exact amount, tenure and eligibility depend on the payment or financing option you choose — a counsellor can confirm your plan.

9. Is there a demo class before I enrol?

Yes. You can attend a demo session to see the teaching style, meet the trainer and review the curriculum before deciding. Contact us to book a demo.

10. Do you provide placement assistance?

We provide dedicated career and placement assistance — resume building, LinkedIn optimisation, portfolio review, interview preparation, mock interviews and opportunity sharing through our network of 850+ companies. We do not guarantee employment, as hiring decisions rest with employers.

11. Can a fresher get a data scientist job after this course?

Yes, entry-level roles are open to freshers. Employers typically expect working Python, SQL and a portfolio — this program is built to deliver all three. Entry-level salaries are indicatively ₹4–8 LPA.

12. What is the salary of a data scientist in machilipatnam?

Indicative ranges for data science roles vary by experience. Freshers can expect ₹4–8 LPA, mid-level professionals ₹8–15 LPA, and senior data scientists ₹15–25+ LPA. Actual salaries vary by sector, company, skills and experience. Uncodemy does not guarantee any specific salary outcome.

13. What job roles can I apply for after this course?

Data Scientist, ML Engineer, Data Analyst, Business Intelligence Analyst, Data Engineer and AI/ML Research Associate. Most graduates begin as a Data Analyst or Junior Data Scientist.

14. Who is eligible for this Data Science course?

Any graduate from any discipline can enrol. No prior coding or data science experience is needed. Final-year students, working professionals and career changers are all welcome.

15. Are the salary, placement and review figures on this page guaranteed?

Statistics are based on Uncodemy's internal records and publicly available review-platform information. Review counts and ratings may change over time. Placement and salary outcomes vary by learner, skills, experience, location, employer and market conditions. Career and placement assistance does not constitute a guarantee of employment or a specific salary package. EMI terms are subject to applicable payment or financing conditions.

16. Is classroom training available in machilipatnam?

Classroom training is not currently available in machilipatnam. machilipatnam learners can join Uncodemy's live online Data Science classes, while offline classroom training is available at the Delhi and Noida centres. Delhi Centre: 2nd & 3rd Floor, Maa Katyayni Complex, MB-1E, Madhuban Rd, next to DSEU Ambedkar College, Laxmi Nagar, Shakarpur Extension, Shakarpur, Delhi, 110092. Noida Centre: B, 14-15, Udhyog Marg, Block B, Sector 1, Noida, Uttar Pradesh 201301. Phone: +91 9818366550 / +91 8766313646.

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Nearest Classroom Training Centres

machilipatnam learners can join Uncodemy's live online Data Science classes, which deliver the same curriculum, trainers and projects as classroom training. For learners who prefer in-person classes or are based in or near Delhi-NCR, classroom training is available at Uncodemy's Delhi and Noida centres.

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Noida Centre
B, 14-15, Udhyog Marg, Block B, Sector 1, Noida, Uttar Pradesh 201301
Delhi Centre
2nd & 3rd Floor, Maa Katyayni Complex, MB-1E, Madhuban Rd, next to DSEU Ambedkar College, Laxmi Nagar, Shakarpur Extension, Shakarpur, Delhi, 110092
Free demo classWalk-ins welcomeWheelchair accessible
📍 Delhi (Head Office) — Open in Google Maps