Experienced real-time trainers
Learn with trainer-led explanations, demonstrations and guided practice.
Home / Courses / Guntur
Data Science Training · Arundelpet, Guntur
Data Science Course in Guntur
Python + Statistics + SQL + Data Analysis + Machine Learning + Practical Projects
Learn Data Science in Arundelpet, Guntur through instructor-led Python, statistics, SQL, data visualisation and machine-learning practice. Build guided projects with applicable recordings, Nipuna LMS access and AI/LLM Career Guidance.
PythonJupyterNumPypandasSQLMatplotlibSeabornscikit-learnGitStreamlit
Experience21 years
PracticeLabs & projects
SupportLMS + guidance
GUIDED PRACTICAL LEARNING
Learn through logic, practice, testing and instructor guidance
Connect each course concept to a practical task, test the result and explain why the approach works.
Plan the logicPractise the skillTest edge casesExplain the result
21 YEARS OF COACHING AND TRAINING EXPERIENCE SINCE 4 MAY 2005
The Nipuna learning support around this course
Exact availability is confirmed for the selected course, Guntur branch and current batch.
Class recordings where applicable
Ask the selected branch about recordings available for the current course and batch.
Nipuna LMS access
Use the learning platform and batch resources provided for the enrolled programme.
Practical labs, assignments and projects
Apply course concepts through the work planned for the selected programme and learner level.
Nipuna AI/LLM Career Guidance
Use structured guidance to compare roles, skills and practical next steps.
Career and placement assistance
Receive resume, interview and job-search support where applicable; employment is not guaranteed.
WHY THIS COURSE
A practical path from foundations to applied work
Learn through live explanation, guided practice and projects. Outcomes depend on attendance, practice and completed work.
01
21 years of training experience
Nipuna Technologies has provided coaching and training since 4 May 2005.
02
Experienced real-time trainers
Learn in instructor-led sessions with demonstrations, questions and guided practice.
03
Nipuna LMS access
Use the learning platform and batch resources provided for the enrolled programme.
04
Class recordings where applicable
Recording availability is confirmed for the selected branch, course and current batch.
05
Practical labs and projects
Apply connected course skills through assignments, reviews and portfolio-oriented work.
06
AI/LLM Career Guidance
Use Nipuna career guidance to compare roles, skill gaps and practical next steps.
GUNTUR COURSE GUIDANCE
Data Science training in Arundelpet, Guntur
Learn at Nipuna Technologies, Opposite Aditya Grand Hotel in Arundelpet. Ask the Guntur admissions team about the current trainer, mode, timetable, fee and demo.
01
Arundelpet centre
Door No. 6-4-35, 1st Floor, 4/1 Arundelpet, Opposite Aditya Grand Hotel, Guntur, Andhra Pradesh 522002
02
Branch-specific admissions
Call or WhatsApp +91 79979 27111 for the current batch, fee, mode and demo availability.
03
Verified learning support
Ask about the current trainer, LMS access, applicable recordings, lab plan and project scope before enrolment.
SKILLS & TOOLS
What the training covers
The curriculum moves from foundations to connected practical application.
01
Python
Learn the relevant concepts and complete guided practical exercises.
02
Jupyter
Learn the relevant concepts and complete guided practical exercises.
03
NumPy
Learn the relevant concepts and complete guided practical exercises.
04
pandas
Learn the relevant concepts and complete guided practical exercises.
05
SQL
Learn the relevant concepts and complete guided practical exercises.
06
Matplotlib
Learn the relevant concepts and complete guided practical exercises.
07
Seaborn
Learn the relevant concepts and complete guided practical exercises.
08
scikit-learn
Learn the relevant concepts and complete guided practical exercises.
09
Git
Learn the relevant concepts and complete guided practical exercises.
10
Streamlit
Learn the relevant concepts and complete guided practical exercises.
LEARNING METHOD
A clear learning workflow
Progress through explanation, demonstration, guided practice and review.
Understand
Learn the concept, purpose and correct workflow.
Observe
Follow a trainer-led demonstration using realistic examples.
Practise
Complete guided labs, assignments and troubleshooting.
Apply
Connect the skills in projects and explain the result.
PRACTICAL PROJECTS
Data-science projects learners can build and explain
Project scope can be adapted to the current batch and learner level.
01
Data Cleaning & Exploratory Analysis
Prepare a realistic dataset, document data-quality decisions and communicate patterns with appropriate charts.
02
Business SQL Analysis
Use joins, aggregations and reusable queries to answer measurable business questions.
03
Regression Project
Build and evaluate a regression workflow while explaining assumptions, error metrics and limitations.
04
Classification Project
Compare classification models, review precision/recall trade-offs and present a defensible result.
05
Interactive Data Application
Present an approved analysis or model through a simple Streamlit interface.
LEARNING OUTCOMES
What learners should be able to demonstrate
Progress depends on participation, practice and completion of assigned work.
01
Prepare, clean and explore structured data
Demonstrate this capability through exercises or project evidence.
02
Use Python and SQL for reproducible analysis
Demonstrate this capability through exercises or project evidence.
03
Create clear statistical and visual explanations
Demonstrate this capability through exercises or project evidence.
04
Build and evaluate foundational machine-learning models
Demonstrate this capability through exercises or project evidence.
05
Present project evidence, limitations and next steps
Demonstrate this capability through exercises or project evidence.
LOCAL TRAINING CENTRE
Data Science training near you in Guntur
Attend at Nipuna Technologies Guntur or ask about currently available online-live options.
Guntur Training Centre
Door No. 6-4-35, 1st Floor, 4/1 Arundelpet, Opposite Aditya Grand Hotel, Guntur, Andhra Pradesh 522002
+91 79979 27111
admin@nipunatechnologies.com
Suitable for learners around
ArundelpetBrodipetLakshmipuramPattabhipuramKothapetNallapaduMangalagiriTenali
COURSE CURRICULUM
What you will learn
Modules can be updated, reordered or disabled from the admin panel.
01 Data Science Foundations
Understand the end-to-end data-science lifecycle.
- Roles and problem types
- Data-to-decision workflow
- Notebook and environment setup
- Ethics, privacy and responsible use
02 Python for Data Work
Write Python required for analysis.
- Variables and collections
- Conditions, loops and functions
- Files, exceptions and modules
- Reusable analysis code
03 NumPy Foundations
Work efficiently with numerical data.
- Arrays and shapes
- Indexing and vector operations
- Broadcasting concepts
- Summary calculations
04 pandas & Data Preparation
Load, transform and organise tabular data.
- Series and DataFrames
- Import and inspection
- Filtering and transformation
- Merge, group and reshape
05 Data Cleaning & Quality
Create a documented, reliable analysis dataset.
- Missing data
- Duplicates and invalid values
- Data types and dates
- Outliers and quality checks
06 Statistics for Data Science
Use descriptive and inferential reasoning appropriately.
- Distributions and sampling
- Central tendency and spread
- Correlation versus causation
- Confidence and hypothesis-testing awareness
07 SQL for Data Science
Retrieve and summarise relational data.
- Filtering and aggregation
- Joins and subqueries
- Window-function awareness
- Analysis-ready query design
08 Data Visualisation & Storytelling
Choose charts that communicate evidence clearly.
- Matplotlib and Seaborn
- Chart selection
- Labels and accessibility
- Insight narrative and limitations
09 Machine Learning Workflow
Build a leakage-aware modelling workflow.
- Features and target
- Train/validation/test concepts
- Preprocessing pipelines
- Baseline and experiment tracking
10 Regression
Build and evaluate regression models.
- Linear regression
- Tree-based regression awareness
- MAE, MSE and R-squared
- Residual and error analysis
11 Classification
Build and evaluate classification models.
- Logistic regression
- Tree and ensemble awareness
- Confusion matrix
- Precision, recall, F1 and ROC awareness
12 Unsupervised Learning
Explore patterns without a labelled target.
- Clustering concepts
- K-means workflow
- Scaling and distance
- Cluster interpretation limitations
13 Model Improvement & Responsible Evaluation
Compare models without overstating performance.
- Cross-validation
- Hyperparameter tuning
- Feature importance awareness
- Bias, drift and explainability awareness
14 Deployment, LLM Awareness & Capstone
Present a reproducible project and understand current extensions.
- Streamlit application workflow
- Model persistence and API awareness
- LLMs as analysis assistants with verification
- Capstone documentation and presentation
FREQUENTLY ASKED QUESTIONS
Data Science questions
Who can join the Data Science course?
Students, graduates, job seekers and working professionals may join. The suitable starting point depends on current programming, mathematics and career goals.
Is Python included?
Yes. Python foundations required for data analysis and machine-learning practice are included.
Are statistics and SQL included?
Yes. The curriculum includes applied statistics and SQL for analysis.
Does the course include machine learning?
Yes. It covers foundational regression, classification, clustering and responsible model evaluation.
Are practical projects included?
Yes. Guided analysis and machine-learning projects are planned; exact scope depends on the current batch and learner level.
Are LMS access and recordings available?
Nipuna LMS access is provided for the enrolled programme. Ask the selected branch to confirm recording availability for the current batch.
Does the course include AI/LLM guidance?
Nipuna AI/LLM Career Guidance supports role and skill-path discussions. The curriculum also introduces responsible use of LLM tools in data work, with independent verification.
Is placement guaranteed?
No. Career and placement assistance may include resume, project, interview and job-search support; employment and salary are not guaranteed.
How do I confirm fees, duration and the next batch?
Use the page enquiry form or contact the selected branch. The admissions team will confirm current details.
GUNTUR ADMISSIONS
Discuss the right batch before enrolling
Ask about the current trainer, timetable, mode, fee and demo availability.