Data Science is the discipline of turning raw data into insights and decisions. Organizations use data science to understand customers, forecast demand, detect anomalies, improve operations, and build intelligent products. In practical terms, data science combines statistics, programming, business understanding, and machine learning to answer questions with evidence.
Python has become the most popular language for data science because it offers a clean syntax and a powerful ecosystem: NumPy for numerical computing, Pandas for data analysis, and Matplotlib for visualization. But tools alone are not enough. Real jobs require an end-to-end workflow: collecting data, cleaning it, exploring patterns, making visual stories, training models carefully, evaluating results, and communicating outcomes to non-technical stakeholders.
Aiinfox Tech's Data Science with Python program is designed for learners in Mohali and Chandigarh who want practical, job-ready skills. You will learn how to work with real datasets, build analysis pipelines, write clean and reusable code, and create portfolio projects that employers can validate. Whether you are a student preparing for placements, a working professional switching into analytics, a developer improving data skills, or a business professional who wants to make data-backed decisions in the Mohali–Chandigarh region, this training provides a step-by-step roadmap from fundamentals to projects.
Many programs teach data science as disconnected topics. Real work is different: you must handle messy data, design correct analyses, avoid misleading conclusions, and communicate insights clearly. Aiinfox Tech teaches data science with a project-first and decision-first approach.
Learners from Mohali and Chandigarh benefit from guided practice, mentor feedback, and portfolio outcomes. You will learn not only how to run code, but how to think like a data professional: define the problem, choose the right method, validate results, and present findings with clarity.
100% Practical Training (real datasets + hands-on labs)
Apply For Job In The IT Sector (Data Analyst / Junior Data Scientist roles)
Project + Portfolio Focus (analysis, dashboards, ML basics)

0% EMI Option Available (as per eligibility)
Beginner-Friendly Learning Path (step-by-step Python + statistics)
Certification + Interview Preparation + Career Guidance
A certificate matters when it is backed by real work. At Aiinfox Tech, certification is milestone-based: you complete assignments, analysis deliverables, mini-projects, and a capstone portfolio project.
For learners in Mohali and Chandigarh, we focus on employability signals: a clean portfolio repository, documented notebooks, clear visualizations, and a final project report that explains your approach, assumptions, and results. This helps interviewers validate your data skills quickly.

This course is built for outcomes. You will learn Python for data analysis, statistics foundations, visualization, SQL basics, and machine learning fundamentals. Every module includes labs and practical assignments so you gain confidence through practice.
Aiinfox Tech mentors help you build strong habits: writing readable code, validating data quality, handling missing values correctly, choosing appropriate metrics, and avoiding common mistakes like data leakage or incorrect interpretation of correlation. The program also includes career support: resume guidance, interview drills, and portfolio presentation practice.
These skills support roles such as Data Analyst, Business Analyst (data-focused), Junior Data Scientist (foundation), Analytics Engineer (foundation), and Product Analyst (foundation).
You don't need a specific degree. If you practice consistently and follow the learning path, you can build strong data skills—ideal for students and career switchers in Mohali and Chandigarh.
You receive structured notes, code templates, practice datasets, assignment checklists, and interview revision guides.
Learn from mentors who guide you in statistics intuition, Python workflows, visualization storytelling, and model evaluation basics. You'll learn how to explain results like a professional.
Scholarship options may be available for eligible learners. Ask during your demo session about current availability and criteria.
Data skills are needed in every industry: SaaS, e-commerce, fintech, healthcare, logistics, and marketing. The skills you learn apply across domains.
Freelancing opportunities include dashboard creation, data cleaning projects, reporting automation, exploratory analysis, and baseline predictive modeling for SMBs.
We prepare you with scenario-based questions: SQL + analysis tasks, statistics interpretation, visualization critique, and ML fundamentals with evaluation metrics.
Strong data professionals are trusted because they bring clarity. You will learn how to translate business questions into analytical tasks, create reliable datasets, pick the right statistical methods, and communicate results without hype.
You will also learn soft skills critical in real teams: writing clean reports, explaining assumptions, documenting datasets, and presenting insights to stakeholders. These skills help you stand out in interviews and on the job.
The data landscape is moving fast. A strong foundation in Python, statistics, and ML evaluation helps you grow into advanced areas like machine learning engineering, AI, data engineering, and analytics leadership. This course gives you that foundation with practical, portfolio-ready work.
Master Data Analysis – Cleaning, transforming, and exploring real datasets using Python.
Build Visual Stories – Create charts and dashboards that communicate insights clearly.
Learn ML Foundations – Understand model training, evaluation, and responsible usage basics.
Projects are your proof. Learners from Mohali and Chandigarh finish with mini-projects and a capstone that can be demonstrated in interviews. Projects are designed to show your ability to analyze, visualize, and build baseline models responsibly.
Every module builds toward a real deliverable. By the end, you'll have a complete data science portfolio.
What data science is, common roles, lifecycle from data to decision, and how to frame questions into measurable objectives and success metrics.
Python essentials for analysis: variables, control flow, functions, modules, file I/O basics, and writing clean reusable code.
Arrays, vectorized operations, broadcasting, random sampling, and performance mindset for large datasets.
DataFrames, reading/writing CSV/Excel, filtering, grouping, joins/merges, time-series basics, and building repeatable cleaning pipelines.
Missing values, outliers, duplicates, inconsistent categories, text cleaning basics, and feature preparation workflow.
Descriptive statistics, distributions, probability basics, sampling, confidence intervals concepts, hypothesis testing intuition, and avoiding common statistical errors.
EDA strategy, correlation vs causation, segmentation, pattern discovery, and writing EDA notes that tell a story.
Choosing the right chart, avoiding misleading visuals, and building clean visuals with clear labels and annotations.
Core SQL: joins, aggregates, filtering, grouping, and window functions concepts to answer business questions.
Supervised vs unsupervised learning overview, train/test split, cross-validation concepts, overfitting/underfitting, and model selection basics.
Regression intuition, classification basics, decision trees overview, and practical modeling workflow.
Metrics: MAE/MSE/RMSE for regression; accuracy/precision/recall/F1 and ROC-AUC concepts for classification; and why metric selection matters.
Clustering concepts (k-means intuition), segmentation use cases, and dimensionality reduction awareness.
End-to-end project: data cleaning → EDA → visualization → model baseline → evaluation → insight report + presentation outline for interviews.
This program is designed to make you capable of doing real analysis work with Python and building a portfolio that leads to interviews. You will learn data cleaning, EDA, visualization, statistics foundations, SQL basics, and ML fundamentals with a practical approach. The course suits beginners and also professionals who want to shift into analytics or data roles.

You will learn by building. Every module includes labs and assignments. Mentors help you develop strong habits: correct cleaning, clear analysis writing, honest interpretation, and careful model evaluation.
You will work on realistic case studies such as customer segmentation, churn-like analysis, sales forecasting baseline, and anomaly detection awareness. Aiinfox Tech also provides career support: resume/portfolio guidance, interview preparation, and mock interviews—especially useful for learners in Mohali and Chandigarh.
If you are based in Mohali or Chandigarh and want a structured, practical path into data science with Python, this program helps you build real skills, projects, certification, and interview readiness. Start with fundamentals, practice consistently, and graduate with a portfolio recruiters can validate.
At Aiinfox Tech Institute, students join from various universities for industry-oriented learning. Along with university learners, we also train working professionals and career switchers. Many learners from Mohali and Chandigarh choose this program because it is practical, structured, and project-driven—making it easier to demonstrate data science skills during placements and interviews.










Yes. Training is conducted in Mohali, and learners from Chandigarh can join through convenient batch timings and hybrid support depending on the batch.
No. You need basic comfort with numbers and willingness to practice. We teach statistics concepts step-by-step with intuition and examples.
Yes. NumPy and Pandas are core modules. You will practice reading data, cleaning, transforming, and building analysis pipelines using these libraries.
Yes. SQL basics are included because most data jobs require querying data from databases and combining SQL with Python analysis workflows.
Yes. You will learn ML foundations, train baseline models, and learn evaluation metrics. The focus is on correct workflow and responsible evaluation.
Yes. Certification is milestone-based (assignments + projects + capstone). We also provide interview preparation, mock interviews, and portfolio guidance.
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