Data Science Course in Bhilai

Advanced classroom-based Data Science Course with Python, Machine Learning, SQL, Power BI and deployment-focused projects in Bhilai–Durg.

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Data Science

Advanced Data Science Course in Bhilai – Job-Ready Training

Aimaxa Tech offers an industry-focused Advanced Data Science Course in Bhilai–Durg for students and professionals who want more than just basic analytics skills. The program is designed to help you understand how real companies build data products – from raw data to deployed models and dashboards.

You will master Python, statistics, data wrangling, feature engineering, machine learning, SQL, Power BI, time-series forecasting and introductory deep learning & NLP. Each module includes structured labs, mini-projects and case studies from domains like finance, marketing, healthcare, telecom and e-commerce.

The course is suitable for BCA, BSc, BTech, MCA, MTech students, fresh graduates and working professionals who want to move into Data Analyst, Data Scientist or ML Engineer roles. Even if you are a beginner, our teaching pace, local support and doubt-clearing sessions help you progress step-by-step.

Data Science Training in Bhilai

Data Science Course in Bhilai with Real Industry Use Cases

This program goes beyond just syntax or tool training. We show how data science is used in credit risk scoring, churn prediction, sales forecasting, operations optimization and digital marketing. You learn how to understand business problems, and then design data-driven solutions.

You Will Gain Skills In

  • 🔹 Python for Data & Automation: Write clean, modular code that is ready for production-style projects.
  • 🔹 Statistics & Analytics Thinking: Make decisions using data distributions, confidence intervals and hypotheses.
  • 🔹 Machine Learning & Model Tuning: Build and tune regression & classification models with real evaluation metrics.
  • 🔹 Business Dashboards: Convert raw data into management-ready dashboards using SQL & Power BI.
  • 🔹 End-to-End Project Execution: From requirement understanding to final presentation and documentation.
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🌟 Flexible Batch Timings – Learn Without Disturbing Your Routine

Aimaxa Tech offers morning, afternoon, evening and weekend batches so that college students and working professionals can all manage comfortably. If you miss a class due to exams or work, we support you with backup sessions and revision classes so that you do not fall behind.

Why Data Science is a High-Growth, Future-Proof Career

From large enterprises to early-stage startups, every organization is investing in data-driven decision making. They need professionals who can understand business problems, work with data, apply ML models and communicate insights clearly. This makes data science one of the most in-demand technology careers globally.

With skills in Python, ML, SQL, dashboards and communication, you can apply for roles across finance, healthcare, FMCG, logistics, e-commerce, telecom and many more. You are not restricted to one industry.

Our curriculum and mentoring are designed to help you build a solid foundation, while also giving you exposure to advanced topics like deep learning, NLP basics and model deployment concepts – so you can grow over the next 5–10 years as the field evolves.

Who Will Benefit the Most?

  • Students from BCA / BSc (CS/IT) / BTech / BE seeking a strong skill advantage.
  • Fresh graduates who don’t want a generic job and prefer a high-growth career path.
  • Working IT professionals wanting to move into Analytics / ML / BI roles.
  • Non-IT professionals ready to upskill and shift into data-focused careers.

You don’t have to be a maths expert. You need consistent practice, logical thinking and guidance— which we provide through classroom, labs and mentoring.

Advanced Data Science Syllabus

A complete path from Python and statistics to advanced machine learning, deep learning basics and deployment concepts – with continuous labs and industry case studies.

  • Python installation, virtual environments, Jupyter & VS Code
  • Data types, loops, functions, comprehensions
  • Working with modules & packages (pip)
  • Object-Oriented Programming (classes, objects)
  • Reading APIs, JSON and working with files
  • Writing reusable, clean, production-like code
  • Mini project: Automating data processing with Python

  • Descriptive statistics – mean, median, mode, quantiles
  • Distributions – Normal, Binomial, Poisson
  • Sampling, central limit theorem, confidence intervals
  • Hypothesis testing, A/B testing concepts
  • Correlation, covariance and regression intuition
  • Translating a business question into a statistical problem

  • NumPy arrays, vectorization, broadcasting
  • Pandas DataFrame operations (merge, groupby, pivot)
  • Importing CSV, Excel, SQL & API data
  • Handling missing values & outliers (winsorization, capping)
  • Feature engineering: binning, encoding, scaling, transformations
  • Building reusable data-cleaning pipelines
  • Case study: Cleaning & transforming a messy real dataset

  • Matplotlib & Seaborn for exploratory analysis
  • Univariate, bivariate and multivariate plots
  • Correlation heatmaps, pairplots, distribution analysis
  • Design principles for dashboards & charts
  • Communicating findings to non-technical stakeholders

  • ML pipeline – train, validate, test
  • Regression models: Linear, Multiple, Regularized (Ridge, Lasso)
  • Classification models: Logistic Regression, KNN, Decision Trees, Random Forest
  • Handling imbalanced data: undersampling, oversampling, SMOTE (concepts)
  • Evaluation metrics: RMSE, MAE, accuracy, precision, recall, F1, ROC–AUC
  • Hyperparameter tuning using GridSearchCV/RandomizedSearchCV
  • Project: Predictive modelling on a real business dataset

  • Clustering concepts – distance metrics, similarity
  • K-Means clustering and choosing K (elbow, silhouette)
  • Hierarchical clustering idea
  • Dimensionality reduction: PCA (Principal Component Analysis)
  • Segmentation case study: customer segmentation or product grouping

  • SQL basics – SELECT, WHERE, GROUP BY, HAVING
  • Joins, subqueries and window functions (concepts)
  • Connecting SQL data to Power BI
  • Data modelling basics (facts & dimensions)
  • Building interactive dashboards & KPIs
  • Case study: Management reporting dashboard for a business

  • Time-series basics: trend, seasonality, stationarity
  • Simple forecasting approach (moving average, AR-type concepts)
  • Introduction to deep learning & neural networks (high-level)
  • Intro to NLP: text cleaning, tokenization, simple sentiment features
  • Using pre-trained models/APIs (concept-level)

  • End-to-end Capstone project with real dataset
  • Project documentation & storytelling for interviews
  • Uploading projects to GitHub and portfolio preparation
  • Common interview questions for Data Analyst / Data Scientist roles
  • Resume & LinkedIn profile review
  • Career roadmap guidance – how to grow after your first job

Industrial-Standard Projects & Case Studies

Every project is designed to look like a real company problem – with messy data, domain understanding and clear business outcomes.

Fraud Detection
Bank Transaction Fraud Detection

Build a classification model on real-like transaction data to identify suspicious activities. Handle imbalanced data, select important features and evaluate business impact of false positives vs false negatives.

House Price Prediction
Real Estate Pricing Engine

Design a regression model to estimate property prices using location, configuration, amenities and historical data. Compare multiple algorithms and explain model behavior using feature importance plots.

Customer Churn
Telecom Customer Churn Prediction

Work on a telecom customer dataset to predict which users are likely to leave. Use segmentation, EDA and ML models to help the business create targeted retention strategies and reduce churn rate.

Recommendation System
E-commerce Recommendation System

Implement a simple recommendation engine (popularity-based or collaborative filtering style) to show relevant products. Understand how recommendation systems affect revenue and customer engagement.

Sales Forecasting
Retail Sales Forecasting

Use time-series techniques and feature engineering to forecast weekly or monthly sales for multiple stores or product categories, helping management plan inventory and marketing.

Insurance Analytics
Health Insurance Risk & Claim Analytics

Analyze policyholder profiles, claim history and risk factors to help insurers design better plans, identify high-risk customers and improve claim settlement efficiency using data insights.

All projects are documented and pushed to GitHub. You will learn how to present them during interviews like a real data professional.

Why Choose Our Data Science Course?

A job-ready data science program built with advanced syllabus, industrial projects, expert mentorship and strong career support.

  • Advanced, Industry-Aligned Curriculum
    From Python basics to ML, SQL, BI, time series, NLP basics and deployment concepts – designed after understanding real job requirements.
  • Experienced Mentors
    Learn from data professionals who have actually worked on analytics, AI and automation projects in the industry.
  • Project-Based Learning
    Every major topic is reinforced with mini-projects, datasets and case studies from domains like finance, telecom and retail.
  • Flexible Batches
    Morning, evening and weekend options so that both students and working professionals can attend without stress.
  • Job-Oriented Training
    Resume & LinkedIn review, interview prep, mock interviews and guidance on how to explain projects confidently.
  • 1–1 Mentoring Support
    Individual guidance for solving practice problems, refining projects and planning your career path.
  • Strong Industry Network
    Connect with mentors, guest speakers and alumni who work in data roles across various companies.
  • Updated Tools & Libraries
    Work with current versions of Python, Pandas, Scikit-Learn, Power BI and supporting tools used in real projects.
  • Portfolio Building
    Create a GitHub profile with notebooks, reports and dashboards that you can show directly to recruiters.
  • Real Business Case Studies
    Understand not just “how to code” but “why the business needs this analysis” and how it impacts revenue or cost.
  • Offline Classroom Experience
    Learn in a focused environment without distractions, get instant clarifications and stay accountable.
  • Continuous Support
    Even after course completion, you can reach out for guidance and doubts related to your projects and interviews.

Key Highlights

Learn data science the way it is used in companies – with live coding, labs, reviews and industry-like assignments.

Free Demo Class

Attend a live session, see our teaching style and understand how the course is delivered before enrolling.

Small Batch Size

Limited students per batch so that every learner gets time for questions and personalised guidance.

Experienced Faculty

Mentors with hands-on experience in real data science projects and client work, not just theoretical knowledge.

End-to-End ML Pipeline

Learn how to go from raw data to final model, evaluation and presentation like a real data team.

Interactive Labs

Practice sessions with live coding, error fixing and code reviews so that concepts become solid.

Placement Support

Guidance for applying to data roles, preparing for interviews and presenting your projects effectively.

High ROI

Get strong skills and projects at a fee that is reasonable compared to big cities and online-only programs.

Industry-Oriented Content

Focus on skills that appear in job descriptions: Python, ML, SQL, dashboards and storytelling.

Certificate

Receive a course completion certificate from Aimaxa Tech after finishing the program and projects.

Career Opportunities & Salary Scope

Use your data skills across multiple industries and job roles – from analysis and reporting to machine learning and BI.

Popular Job Roles

  • Data Analyst
  • Junior Data Scientist
  • Business Intelligence (BI) Analyst
  • Machine Learning Engineer (Entry Level)
  • Reporting / MIS Analyst
  • Data Science Intern / Trainee

Top Sectors Hiring Data Professionals

Sector Example Use Cases
Banking & Finance Fraud detection, credit scoring, risk analysis, loan analytics
Healthcare Disease risk prediction, insurance analytics, patient monitoring
E-commerce & Retail Recommendation systems, dynamic pricing, sales forecasting
Telecom Churn prediction, network optimization, usage analysis
Manufacturing & Logistics Predictive maintenance, demand forecasting, process optimization

Indicative Salary Range in India

Role Experience Approx. CTC per year
Data Analyst 0–2 years ₹3 – ₹6 LPA
Data Scientist 1–3 years ₹5 – ₹10 LPA
ML Engineer 2–4 years ₹6 – ₹12 LPA
Senior Data Scientist 4+ years ₹12 LPA and above

Career Growth Path

  • Step 1: Learn Python, statistics & data analysis fundamentals
  • Step 2: Build ML models and complete multiple projects
  • Step 3: Get your first role as a Data Analyst / Intern
  • Step 4: Move into Data Scientist / ML Engineer positions
  • Step 5: Grow into Senior / Lead / Architect and consulting roles

Why Aimaxa Tech Instead of Only Online Courses?

Online video courses are good for overview, but most learners struggle with doubts, consistency and real project feedback. Aimaxa Tech gives you structured classroom support and mentoring in Bhilai.

Feature Aimaxa Tech (Bhilai) Typical Online-Only Course
Doubt Clearing ✅ Live in every session ❌ Limited or text-based
Mentoring & Motivation ✅ In-person guidance and follow-up ❌ Self-paced, easy to leave midway
Local Support ✅ Bhilai-based training & support ❌ No local presence
Project Review ✅ Trainer checks and corrects your code ❌ Only generic video solutions
Placement Assistance ✅ Guidance for data roles & interviews ❌ Very limited or none

📌 Key Benefits of Our Advanced Data Science Course

  • 🚀 Advanced Curriculum: Covers both core and advanced concepts used in interviews and real work.
  • 👨‍🏫 Industry Mentors: Trainers who understand business as well as technology.
  • 🕒 Flexible Timing: Choose batch timings that match your college or job schedule.
  • 💼 Project Portfolio: Multiple industrial projects to show in resumes and interviews.
  • 🎯 Job-Focused Learning: Emphasis on problem solving, communication and project explanation.
  • 📜 Certification: Course completion certificate from Aimaxa Tech.
  • 🔄 Continuous Support: Get help even during self-practice and revision.
  • 🌍 Team-Based Learning: Work in small groups on selected projects to simulate company environment.
  • 🏆 Career Guidance: Clear roadmap on how to use the course outcome for job search.
  • 📢 Local Advantage: Learn high-level skills without leaving Bhilai–Durg.
Data Science Benefits

What Our Learners Say

❓ Frequently Asked Questions (FAQ)

Students from BCA, BSc, BTech, BE, MCA, MTech, fresh graduates and working professionals can join. Even non-IT learners can start if they are ready to learn Python and basic maths with consistent practice. We start from fundamentals and gradually move to advanced topics.

The main mode is offline classroom training in Bhilai with live explanation and lab practice. Some doubt sessions or revisions may be conducted online when required, but the core learning is in-person so that you stay disciplined and connected.

The course duration is generally 3 to 5 months, depending on batch speed, practice and projects. Since the syllabus is advanced and practical, consistency and homework are very important. Our team will share the latest schedule and batch details when you contact us.

Yes. After successful completion of classes, assignments and projects, you will receive a course completion certificate from Aimaxa Tech. You will also complete multiple industrial-style projects which can be showcased in your resume and GitHub profile.

We provide placement assistance, not guaranteed placement. That means:
  • Help in creating a strong resume and LinkedIn profile.
  • Guidance on where and how to apply for data roles.
  • Interview preparation and mock interviews.
Final selection depends on your performance, communication and company requirements – but we guide you at every step.

You can fill the enquiry form below or send a WhatsApp message to +91 9302184236. Our team will explain batch options, fees, demo timings and also suggest a learning plan based on your current level and goals.

🚀 Apply Now & Start Your Data Science Journey with Aimaxa Tech

You don’t have to figure everything out alone. Get structured training, local support and a clear roadmap to move into data roles. Share your details and our counsellor will contact you with batch, fees and demo information.

Book Free Counselling / Demo Session

Still thinking whether Data Science is the right choice for you? In a short counselling or demo session, we will:

  • Understand your background and goals.
  • Explain the course structure and career path.
  • Clear your doubts about skills, salary and future scope.

You can also directly WhatsApp us at +91 9302184236 for quick details.

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Street 36, Smriti Nagar, Bhilai, Durg, Chhattisgarh

+91 9302184236

aimaxa121@gmail.com

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