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Read More →Uncodemy's Data Science with Generative AI program gives Ranchi learners an 8–9 month, instructor-led path through Python, SQL, statistics, machine learning, deep learning, NLP, Power BI, Tableau and Generative AI. Classes run live online, and learners who want a classroom seat can join our Delhi or Noida batches. Hands-on projects, session recordings and structured career support are included throughout. The fee is ₹21,500 + GST, a total of ₹25,370.
Learn from 8+ years experienced professionals
Work on real-time projects & case studies
Get lifetime access to recorded sessions & materials
Resume Building, Mock Interviews & Job Support
Certificate of Completion from Uncodemy
Weekday & Weekend Online & Offline
By the end of the program, learners can work confidently across Python, SQL, statistics, machine learning, deep learning, NLP, Power BI, Tableau and Generative AI. Once training and interview preparation are done, eligible candidates go after titles such as Data Scientist, Data Analyst and Machine Learning Engineer.
Placed at:FINELABS
Placed at:Allsoft Solutions
Placed at:Hexalog
Placed at:SmartStudy
Placed at:FINELABS
Placed at:Allsoft Solutions
Placed at:CloudFirst Digital
Placed at:Jepius Healthcare
Data science is what happens when statistics, programming and knowledge of a particular business are used together to turn messy raw data into decisions a company can act on. The work runs from gathering and cleaning data through building and testing models, and ends with numbers that mean something to the people reading them. Organisations lean on it to read customer behaviour, forecast demand, catch fraud early, sharpen recommendations and automate judgements that were once made by hand.
What does a data scientist do? Day to day, a data scientist extracts data from business systems and databases, cleans and explores it, trains and validates machine learning models, then converts the output into recommendations someone can act on. An ordinary week mixes Python and SQL writing, squeezing more accuracy out of a model, walking stakeholders through what a metric actually means, and keeping an eye on a model already running in production.
Analytics looks backwards and explains the why behind what already happened. Data science looks forward and estimates what comes next. Business analytics sits closer to strategy and process decisions.
| 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 program for Ranchi learners spans 8–9 months, 90+ live sessions and 150+ learning hours built across eleven modules that stack in order — Python, SQL, statistics, data cleaning and EDA, machine learning, deep learning, NLP, Power BI, Tableau, Generative AI and MLOps — with one module devoted specifically to how AI tools now sit inside everyday data science work. Each module closes with practical work on a real dataset, and the final stretch is a capstone that becomes the strongest item in your interview portfolio. Live online delivery suits working professionals across Lalpur, Argora, Harmu, Doranda, Hinoo, Kanke Road, Bariatu, Ratu Road, Dhurwa and the wider Ranchi district, and classroom batches at our Delhi and Noida centres remain open to learners who need them.
Who should join this course:
Eligibility: Any graduate degree qualifies you. Coding experience is not expected, since Python and SQL start from the first line. Being comfortable with school-level maths helps but is not required, because the statistics module rebuilds that base from the ground up. For practice work, plan on a laptop with 8GB RAM or more and a reliable internet connection.
Pick a batch that fits around your job or college timetable. Attend a free demo class first if you prefer, then join one of the upcoming weekday or weekend live batches — both run with flexible timings and the same hands-on teaching.
| Date | Time | Trainer | Seats Left |
|---|---|---|---|
| 22Sept | 07:30 PM – 08:30 PM | Mr. Upendra Kumar tiwari | 02Seat |
| 28Sept | 02:00 PM – 03:00 PM | Mr. Irshad Khan | 01Seats |
| 02Oct | 10:30 AM – 11:30 AM | Ms. Rachna Verma | 02Seat |
| 06Oct | 12:00 PM – 01:00 PM | Mr. syed Najeeb | 01Seats |
| Date | Time | Trainer | Seats Left |
|---|---|---|---|
| 27Sept | 03:00 PM – 05:00 PM | Mr. Irshad | 02Seats |
Seat counts change daily as batches fill. All timings shown are IST.
Eleven modules and 150+ learning hours are sequenced the way real data science work unfolds — sourcing data, cleaning it, exploring it, modelling it, deploying the model and then explaining the result to people who will act on it. Every module finishes with a hands-on assignment on a genuine dataset, and the last module ties all of it together into 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 | |
Once all eleven modules, the assignments and the capstone are complete, you receive the Uncodemy Data Science Program Certificate. It records the program name, duration, tools covered and completion date, and carries a verification reference. The certificate is released only after the required coursework and assessment are cleared, so it stands as formal proof that you finished the program rather than merely enrolled in it.
You also keep everything you built along the way. That means the assignments and projects completed with the tools in the syllabus — Python, SQL, statistics, machine learning, deep learning, Power BI, Tableau and Generative AI — and a capstone where the full method is applied end to end to one real problem.
Uncodemy's Data Science course for Ranchi learners concludes with the Uncodemy Data Science Program Certificate, which anyone can check online through the official Uncodemy Certificate Portal.
Uncodemy Certificate VerificationOnline Certificate Verification & Downloadcertificate.uncodemy.com_2.webp)
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Python
SQL
Statistics
Pandas
Numpy
TensorFlow/Keras
Power BITableau
ChatGPT
CopilotUncodemy is a career-focused IT training institute run by Uncodemy Edutech Pvt. Ltd., with training centres in Delhi and Noida and live online classes reaching learners across India, including Ranchi and the wider Jharkhand region. The courses are designed for beginners, graduates, freshers and working professionals who want skills they can use on the job rather than theory alone.
In this program you work directly with Python, SQL, statistics, machine learning, deep learning, NLP, Power BI, Tableau, Generative AI and MLOps while building projects on real datasets. The emphasis stays on what companies actually do with data — finding patterns, training models, producing predictions and backing decisions — so that you can perform the work rather than merely describe it. The complete module-by-module curriculum is open to read before you commit.
Beyond the teaching itself, you get live instructor-led sessions, practical assignments, project work, interview preparation and career support. Exactly what that support covers — and what it does not promise — is set out in our career support policy, together with the eligibility conditions, both published before you enrol rather than after you pay.
If you are still deciding on a direction, Uncodemy also runs Data Analytics, Business Analyst, machine learning course and Artificial intelligence training course for Ranchi and Jharkhand learners. Data Science and Data Analytics share several foundational modules but lead to different job titles, so comparing the two curricula before you decide is worth the time.
Portfolio review:We go through your projects and work history and shape them into a portfolio that holds up in front of an interviewer.
Resume & LinkedIn:Your resume gets rebuilt around the right keywords and measurable results, and your LinkedIn profile is brought in line with it.
Interview preparation:Targeted Python and SQL problem sets, machine learning case studies and the behavioural questions data science panels actually ask.
Mock interviews:Practice rounds with working industry trainers, each followed by written notes on exactly what to fix.
Opportunity sharing:Matching openings from our 850+ company hiring network reach you directly, with help through applications and interview rounds.
Continued support:This is real assistance, not a job guarantee — no training institute can honestly promise employment. For learners who stay engaged, the support carries on after the program finishes.
The professionals who teach this course
Live online sessions for Ranchi learners are led by Upendra Kumar Tiwari, Senior Data Science Trainer at Uncodemy, who brings 15+ years across Data Science, Data Analytics, Machine Learning, Deep Learning, AutoML, ML on Cloud and NLP. He also reviewed and signed off on the curriculum published on this page.
Two roles stay separate at Uncodemy where most institutes merge them. Trainers run the live classes; domain reviewers, who are independent specialists and do not teach the batch, are the ones confirming that the curriculum is technically correct and current. For this program that reviewer is Upendra Kumar Tiwari — so the quality of the syllabus is not being certified by the same person delivering it.
Every trainer and reviewer working with Uncodemy is listed publicly by name with their specialisation and background, so you can read their profiles before you pay rather than discovering who teaches you afterwards.
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.
Start your Data Science training with Uncodemy from Ranchi today. Build working skills through live instructor-led sessions, real projects, hands-on assignments and structured interview preparation — and finish with a portfolio you can actually show a hiring manager.
| Role | Core Tools |
|---|---|
| Data Scientist | Python, SQL, Scikit-learn, TensorFlow |
| Machine Learning Engineer | Python, TensorFlow, MLflow, Cloud |
| Data Analyst | SQL, Excel, Power BI |
| Business Intelligence Analyst | Power BI, Tableau, SQL, DAX |
| Data Engineer | Python, SQL, ETL, Cloud |
| AI/ML Research Associate | Python, PyTorch, NLP |
| Career Level / Role | Indicative 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 | 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 |
| If you want... | Recommend |
|---|---|
| Only Excel + Power BI basics | A shorter course may be sufficient |
| Full data science career transition | This program |
| Analytics role in Ranchi's mining, PSU, healthcare or banking sector | This program |
| Remote or Jamshedpur/Kolkata/Bengaluru analytics role | This program |
| Business-focused analytics | Consider Business Analytics |
| Self-paced learning | Recorded course |
The program takes 8–9 months and covers 150+ learning hours across 90+ live sessions. Ranchi learners can pick either a weekday evening batch or a weekend batch, both delivered live online.
No coding background is required. Python is taught from variables and loops onward in the opening weeks, and SQL begins only once you are writing basic Python comfortably.
The stack runs to 15+ tools: Python | SQL | Pandas | NumPy | Scikit-learn | TensorFlow/Keras | Power BI | Tableau | Matplotlib | Seaborn | Jupyter | Google Colab | ChatGPT | Copilot | MLflow
Yes. Module 9 gives 10 hours to Generative AI, LLMs and prompt engineering — writing code with AI assistance, checking whether the output is actually correct, respecting data-privacy limits and using these tools sensibly at work.
Six in total: five guided projects drawn from retail, banking, HR, e-commerce and healthcare, plus a capstone on a problem you choose. Together they form the portfolio you take into interviews.
Every one of the 90+ sessions is live and taught by a trainer. A recording is shared after each class for revision, and the online and classroom batches follow an identical syllabus.
The fee is ₹21,500 plus 18% GST, so the total payable is ₹25,370. That single amount covers every live session, study material, project, certification and career-support service. EMI begins at ₹4,622/month across 6 months.
Yes. EMI starts at ₹4,622 per month over a 6-month tenure. The final amount, tenure and eligibility depend on the financing plan you choose, and a counsellor confirms the plan before you pay anything.
Yes — a free live demo session is available before you enrol. Sit in, see how the trainer's teaching teaches and review the curriculum before paying anything. Contact us to reserve a slot.
Yes — dedicated career and placement assistance is included: resume building, LinkedIn optimisation, portfolio review, interview preparation, mock interviews and opportunity sharing across our 850+ company hiring network. Employment is not guaranteed, because hiring decisions rest with employers.
Yes — freshers do get hired into entry-level data roles. Employers check for working Python, usable SQL, at least one end-to-end ML project and a portfolio, which is exactly what this program builds. Indicative entry-level Data Scientist pay across Ranchi and Jharkhand is ₹4–8 LPA.
Indicative ranges are ₹4–8 LPA for entry level, ₹8–15 LPA at 1–3 years and ₹12–20+ LPA for senior data scientists. Ranchi-based roles in mining and metals, PSUs, healthcare and education usually fall in the middle of each band, while remote roles or jobs in Jamshedpur, Kolkata, Pune, Bengaluru and Delhi NCR sit nearer the top. Uncodemy does not guarantee any specific salary outcome.
The course maps to Data Scientist, Machine Learning Engineer, Data Analyst, Business Intelligence Analyst, Data Engineer and AI/ML Research Associate. In practice most learners begin as a Data Analyst or Junior Data Scientist and move up from there.
A graduate degree in any stream is the only requirement. No coding or analytics background is expected, and final-year students, working professionals and career changers are all eligible.
No. Every figure here comes from Uncodemy's internal records and publicly available review-platform data, and ratings or review counts can change over time. Placement and salary outcomes differ by learner, skill level, experience, location, employer and market conditions. Career and placement assistance is support, not a guarantee of employment or of any particular salary, and EMI terms depend on the applicable payment or financing conditions.
Uncodemy does not operate a physical centre in Ranchi. Ranchi learners attend live online batches that use the same syllabus, the same trainers and the same projects as classroom batches. The nearest classroom centres are Delhi and Noida, and since Ranchi is roughly 1,300 km from Delhi NCR, live online is the practical choice for almost every learner here.
Ranchi learners study in our live online batches, which run the identical syllabus, trainers and projects as the classroom batches. If you prefer in-person learning, or you are relocating to Delhi NCR, the nearest classroom options are our Delhi and Noida centres, where you can attend sessions in person. Ranchi is roughly 1,300 km from Delhi NCR, so for almost every learner based here, live online is the practical route — the same trainers and the same curriculum, without the travel.
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