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Read More →Candidates based in indore have the option to enrol in Uncodemy's Data Science with Generative AI curriculum, an 8–9 month instructor-guided program spanning Python, SQL, statistics, machine learning, deep learning, Power BI, Tableau and Gen AI. Live online sessions are delivered for indore participants, while physical classroom learning remains accessible at the Delhi and Noida facilities for anyone able to commute to Delhi NCR. The curriculum features applied project assignments, archived sessions and career-development services. The prevailing course charge is ₹21,500 + GST, making the overall payable amount ₹25,370.
Study under practitioners possessing 8+ years of hands-on experience
Develop proficiency via real-time projects and case-based exercises
Retain permanent access to archived lectures and study resources
CV preparation, simulated interviews and professional direction
Obtain an official Uncodemy completion credential
Online and on-campus cohorts offered on weekdays or weekends
Participants who conclude Uncodemy's Data Science curriculum acquire hands-on competence in Python, SQL, statistics, machine learning, deep learning, NLP, Power BI, Tableau and Gen AI. Once the learning and career-readiness components are finished, qualifying candidates may aim for designations including Data Scientist, Data Analyst or Machine Learning Engineer. Placement statistics for indore candidates are revised routinely — examine authenticated results at uncodemy.com/placement.
Placed at:Makeo
Placed at:HSBC
Placed at:Fiserv
Placed at:Fis
Placed at:Access Meditech
Placed at:Genpact
Placed at:Capgemini
Placed at:Allsoft Solutions
Placed at:Vitraya Technologies
Data Science fuses statistical methods, computer programming and subject-matter expertise to convert raw information into actionable insights and projections. The domain covers collecting and organising data, constructing models, assessing their performance and articulating findings clearly. Enterprises use it to investigate customer patterns, anticipate demand, uncover fraud, customise suggestions and automate judgements that formerly demanded human input.
What does a data scientist do? A data scientist extracts data from databases and operational systems, tidies and examines it, develops and validates machine learning models, and converts the outcomes into practical business guidance. Their day-to-day duties involve coding in Python and SQL, training and enhancing models, reviewing metrics with business partners, and launching or tracking models in live environments.
Data analytics inspects historical events and their root causes. Data science projects likely future results. Business analytics employs analysis to direct operations and corporate 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.
The Data Science curriculum tailored for indore participants extends across 8–9 months and delivers 90+ live sessions amounting to 150+ hours of instruction. Its eleven modules advance through Python, SQL, statistics, data cleaning and EDA, machine learning, deep learning, NLP, Power BI, Tableau, Generative AI and MLOps, with specific emphasis on routine application of AI tools within data science. Every module incorporates applied exercises using genuine datasets, and the curriculum wraps up with guided projects and a capstone project for your professional portfolio. indore attendees participate in live online sessions, with classroom access at our Delhi and Noida centres when visiting Delhi NCR.
Who should join this course:
Eligibility: Graduates from any discipline can apply. Previous programming experience is not needed because Python and SQL are introduced from the fundamentals. Basic mathematical familiarity is helpful but optional, as the statistics module develops the foundation step by step. Practical sessions are best supported by an 8GB RAM laptop and a stable internet connection.
Choose a batch schedule that aligns with your availability. Reserve a complimentary demo class or register for an approaching weekday or weekend live batch, offering adaptable timings and practical coaching for students and working professionals. Batch dates, schedules and seat availability are updated regularly. Contact Uncodemy for the latest indore/online batch schedule. All timings are in IST.
| Date | Time | Trainer | Seats Left |
|---|---|---|---|
| 06Oct | 12:00 PM – 01:00 PM | Mr. Syed Najeeb | 01Seats |
| 19Oct | 07:30 PM – 08:30 PM | Mr. Upendra Kumar Tiwari | 02Seat |
| 26Oct | 02:00 PM – 03:00 PM | Mr. Irshad Khan | 01Seats |
| 02Nov | 10:30 AM – 11:30 AM | Ms. Rachna Verma | 02Seat |
| Date | Time | Trainer | Seats Left |
|---|---|---|---|
| 28Nov | 03:00 PM – 05:00 PM | Mr. Irshad Khan | 02Seats |
Seats are limited and updated daily. All timings are in IST. Dates and times are indicative placeholders — confirm current batch availability with Uncodemy before enrolling.
The syllabus is divided into eleven modules with 150+ hours of learning, following the practical data science workflow: obtain the data, prepare it, analyse it, build models, deploy them and explain the results. Each module finishes with a graded assignment based on a real dataset, while the final module brings the learning together in portfolio projects.
| # | Module | Hours | Tools |
|---|---|---|---|
| 1 | Python for Data Science | 20 | Python, Pandas, NumPy |
| 2 | SQL & Database Management | 15 | MySQL |
| 3 | Statistics & Probability for Data Science | 15 | Excel, Python |
| 4 | Data Cleaning & EDA | 12 | Python, Pandas |
| 5 | Machine Learning (Supervised & Unsupervised) | 25 | Scikit-learn |
| 6 | Deep Learning & Neural Networks | 15 | TensorFlow, Keras |
| 7 | Natural Language Processing (NLP) | 10 | NLTK, spaCy |
| 8 | Power BI & Tableau for Data Science | 15 | Power BI, Tableau |
| 9 | Generative AI, LLMs & Prompt Engineering | 10 | ChatGPT, Copilot |
| 10 | MLOps & Model Deployment | 8 | MLflow, Flask, Cloud |
| 11 | Capstone & Career Prep | 10+ | All tools |
| Total | 150+ Hours | 15+ tools | |
Upon finalising all eleven modules, the assignments and the capstone project, you will be granted the Uncodemy Data Science Program Certificate. It lists the program title, length, tools instructed and completion date, together with a verification reference. Certification is conferred once the mandatory coursework and evaluation are finished, recording successful completion of the Uncodemy Data Science program.
The certificate is issued in conjunction with the practical work undertaken during the program. Participants employ the curriculum's Data Science tools, comprising Python, SQL, statistics, machine learning, deep learning, Power BI, Tableau and Gen AI, in their assignments and projects. The capstone project permits learners to apply the training concepts in practice.
Uncodemy's Data Science course in indore includes a verified Uncodemy Data Science Program Certificate that learners can check online through the official Uncodemy Certificate Portal.
Uncodemy Certificate Verification Online Certificate Verification & Download certificate.uncodemy.com_2.webp)
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Python
SQL
Statistics
Pandas
NumPy
Excel
Power BI
Tableau
ChatGPT
Copilot
Uncodemy maintains training facilities in Delhi and Noida and serves students throughout India, encompassing indore and the broader Maharashtra region, through live online instruction. The courses are crafted for beginners, graduates, freshers and working professionals seeking practical capabilities that translate to genuine employment.
Within this Data Science program, participants rehearse Python, SQL, statistics, machine learning, deep learning, NLP, Power BI, Tableau, Gen AI and MLOps through projects employing real datasets. The instruction illustrates how enterprises recognise patterns, construct models, produce forecasts and underpin decisions with data. You can review the full module-by-module curriculum before enrolling.
Uncodemy likewise delivers instructor-guided lessons, applied assignments, project work, interview readiness and career assistance. Our career support policy clarifies what that assistance encompasses and omits, along with the eligibility conditions published before enrolment.
Should you be weighing a different career path, Uncodemy additionally offers Data Analytics, Business Analyst, Machine Learning and Artificial Intelligence training courses for indore and Maharashtra learners. Data Science and Data Analytics overlap in some fundamentals but culminate in distinct career trajectories, so evaluate both syllabi prior to making a selection.
Portfolio review: Your experience and guided projects are reviewed and refined into a data science 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: Python and SQL problem sets, ML 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.
The people who actually teach this course
Uncodemy keeps two roles separate. Trainers conduct the live lessons, while domain reviewers are specialists who do not teach the batch and independently check that the curriculum is accurate and current. Mr. Upendra Kumar Tiwari reviews the technical content for this Data Science program, so the teaching delivery is not the only quality check.
The names, areas of expertise and backgrounds of Uncodemy's trainers and domain reviewers are published, allowing learners to research them before enrolling.
Senior Data Science Trainer
Expertise15+ years of industry experience building production machine learning systems for retail, telecom and consulting teams.
Modelling security breaches in iOS apps, dormant customer prediction and factor analysis, last-mile delivery optimisation, and credit card fraud detection.
Data Science & AI Trainer
ExpertisePython · SQL · Machine Learning · Tableau · Artificial Intelligence · Deep Learning · Power BI · MLOps
8+ years across consulting and public-sector analytics, with deep hands-on work in AI and MLOps delivery.
Built an OCR model, a disease-prediction model, and a fraud-control model deployed across every Indian state under the Ministry of Health & Welfare.
Data Science & AI Trainer
ExpertisePython · ML · DL · NLP · Power BI · Tableau · SPSS · SAS · MS-Excel · SQL · HTML · CSS
7+ years turning aviation and enterprise data into forecasting models, dashboards and AI assistants.
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.
Data Science Trainer
ExpertisePython · SQL · Excel · Power BI · Tableau · ML · DL · NLP · Time Series · IoT Devices · Prompt Engineering · Chatbots
5+ years in logistics and consumer-brand analytics, with a strong focus on time series, NLP and applied automation.
Speech-to-text using core NLP (T2S), talent acquisition research, and product launch & CMS work on keventers.com using Sparktech.
Data Science Trainer
ExpertiseAdvanced Excel · SQL · Power BI · Tableau · Python · Data Visualisation · Statistics
Trainer for the data science and analytics track at Uncodemy, working with learners on Python, SQL, Excel and BI tooling from first principles to interview-ready projects.
Guides classroom capstones on sales and customer dashboards, KPI reporting and end-to-end data cleaning workflows.
Data Science Trainer
Expertise
Data Science Trainer
Expertise
MD & CEO
ExpertiseFounder, MD & CEO of Uncodemy and GS Net Academy, with experience in education, technology leadership, research, mentorship and career development.
Leads strategic direction, academic initiatives, technology-driven education programs and mentorship across Uncodemy and GS Net Academy.
Director at Uncodemy
ExpertiseDirector at 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.
Leads technology strategy, scalable web and mobile solutions, AI-driven products and EdTech initiatives across Uncodemy and GvCloud Secure.
Join Uncodemy's Data Science Training for indore learners and gain practical Data Science and Gen AI skills through live online instruction, real project work and focused career support. Book a demo or trial class to see the teaching style before you enrol.
| Role | Core Tools |
|---|---|
| Data Scientist | Python, SQL, Machine Learning |
| ML Engineer | Python, ML, MLOps |
| Data Analyst | SQL, Python, Power BI/Tableau |
| Business Intelligence Analyst | SQL, Power BI, Tableau |
| Data Engineer | SQL, Python, Data Engineering tools |
| AI/ML Research Associate | Python, ML, Deep Learning |
| 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 |
| Factor | Uncodemy |
|---|---|
| Duration | 8–9 Months |
| Learning Hours | 150+ Hours |
| Live Sessions | 90+ |
| Tools | 15+ |
| Gen AI Module | Yes |
| Projects | 5 Guided + 1 Capstone |
| Career Support | Dedicated Career & Placement Assistance |
| Format | Best for | Considerations |
|---|---|---|
| Live Online | indore learners, working professionals, students | No commute, flexible schedule, live interaction, recorded sessions, same syllabus and projects |
| Offline (Delhi/Noida) | Learners who can travel to NCR | In-person doubt clearing, classroom environment, but requires commute or relocation |
| Hybrid | Learners splitting time between indore and NCR | Occasional classroom sessions plus live online |
| If you want... | Course format / suitability |
|---|---|
| Learn Data Science from basics | Suitable |
| Build Python + ML skills | Suitable |
| Learn Gen AI | Suitable |
| Work on guided projects | Suitable |
| Attend live classes from indore | Live Online |
| Attend physical classroom training | Delhi/Noida centres |
| Switch career into Data Science | Requires consistent practice |
| Guaranteed employment | Not guaranteed |
Uncodemy
An end-to-end data science project that builds a content-based and collaborative filtering recommendation engine using Python, Pandas and Scikit-learn. It includes data cleaning, feature engineering, similarity calculation and an interactive recommendation interface.
Python
Pandas
Jupyter Notebook
GitHub
Uncodemy
A complete machine learning project that detects fraudulent credit card transactions using classification algorithms. It covers data imbalance handling, feature selection, model training, evaluation metrics and real-time fraud prediction pipeline.
Python
Pandas
Jupyter Notebook
SQL
Uncodemy
A predictive analytics project that forecasts employee attrition using machine learning models. It includes exploratory data analysis, feature engineering, model building, hyperparameter tuning and actionable HR insights for reducing attrition.
Python
Pandas
Jupyter Notebook
GitHub
Uncodemy
An advanced agentic AI project that autonomously researches topics, gathers information from multiple sources, summarizes findings and generates structured research reports using large language models and tool calling.
Python
Jupyter Notebook
GitHub
SQL
Uncodemy
An intelligent AI-powered interview agent that conducts technical interviews, evaluates candidate responses in real time, provides feedback scores and generates detailed performance reports using natural language processing and LLMs.
Python
Pandas
Jupyter Notebook
GitHub
Uncodemy
An end-to-end regression project that predicts house prices using advanced machine learning techniques. It covers data preprocessing, feature engineering, model selection, evaluation and deployment-ready prediction pipeline.
Python
Pandas
Jupyter Notebook
SQL
Uncodemy
A comprehensive healthcare analytics project that explores patient data, disease trends, treatment outcomes and hospital performance using Python, SQL and advanced visualization techniques to generate actionable medical insights.
Python
Pandas
Jupyter Notebook
GitHub
Uncodemy
A complete end-to-end recommendation system project that combines collaborative filtering and content-based techniques to suggest personalized movies. Built with Python, Pandas and machine learning algorithms for accurate user preference matching.
Python
Pandas
Jupyter Notebook
GitHub
The program takes 8–9 months and delivers 150+ hours of learning through more than 90 live sessions. indore learners can join live online batches held on weekdays or weekends.
Yes. No earlier programming experience is necessary. Python and SQL are introduced from the beginning, and the first month covers Python basics and Excel without requiring a traditional coding background.
15+ tools including Python, SQL, Pandas, NumPy, Scikit-learn, TensorFlow/Keras, Power BI, Tableau, Matplotlib, Seaborn, Jupyter, Google Colab, ChatGPT, Copilot and MLflow.
Yes. Module 9 is a focused 10-hour module covering Generative AI, LLMs and prompt engineering, including AI-assisted coding, model evaluation, RAG fundamentals and checking AI-generated output.
The course includes five guided projects in retail, banking, HR, e-commerce and healthcare, plus one capstone project selected by you. All of this work can be organised into a portfolio for interviews.
Instructors conduct all 90+ sessions live, and recordings are available afterward for revision. The live online and classroom formats use the same syllabus.
The program fee is ₹21,500 plus 18% GST. Total fee is ₹25,370. This covers all sessions, materials, projects, certification and career support, with no additional charges. EMI starts from ₹4,622/month for 6 months — EMI includes applicable interest/processing charges; final plan confirmed by a counsellor.
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.
Yes. A free live online demo lets you observe the teaching approach, meet the trainer and review the curriculum before deciding. Contact us to arrange a demo.
Dedicated career and placement assistance includes resume building, LinkedIn optimisation, portfolio feedback, interview preparation, mock interviews and opportunity sharing through our network of 850+ companies. Employment is not guaranteed because employers make the hiring decisions.
Yes, entry-level roles are open to freshers. Employers typically expect working Python, SQL, one ML project and a portfolio — this program is built to deliver all three. Entry-level Data Scientist salaries in indore are indicatively ₹4–8 LPA.
Indicative ranges for indore are ₹4–8 LPA at entry level, ₹8–15 LPA at mid-level and ₹12–20+ LPA for senior data scientists. Actual salaries vary by sector, company, skills and experience. Uncodemy does not guarantee any specific salary outcome.
Data Scientist, Machine Learning Engineer, Data Analyst, Business Intelligence Analyst, Data Engineer and AI/ML Research Associate. Most graduates begin as a Data Analyst or Junior Data Scientist.
Graduates from any discipline may enrol, and previous coding or analytics experience is not required. Final-year students, working professionals and career changers are all welcome.
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.
There is no physical centre in indore. indore learners can join live online batches with the same syllabus, trainers and projects as classroom training. The nearest classroom centres are Delhi and Noida for learners travelling to Delhi NCR, although most indore learners choose live online.
indore learners can attend live online batches using the same syllabus, trainers and projects as classroom training. Those who prefer in-person study or plan to relocate to Delhi NCR can attend the Delhi or Noida centres. For most indore-based learners, online classes remove travel while preserving the same curriculum and teaching team.
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