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MARATHAHALLI BRANCH

Data Science Course in Bangalore

Looking for the best data science course in Bangalore? At RIA Institute, Marathahalli, you will master Python, Machine Learning, Deep Learning, and AI — building real predictive models and working on industry-grade projects. Join the most trusted data science institute in Bangalore for a 5-month job-ready program with 100% placement support.

Duration
5 Months
Mode
Classroom & Online
Fee
₹51,300

Data Science Course Overview

The Data Science Course at RIA Institute of Technology, Marathahalli, Bangalore, is designed for students, graduates, and working professionals who want to build a career in Data Science, Machine Learning, and Artificial Intelligence. This practical training program covers Python, SQL, Statistics, Data Visualization, Machine Learning, Power BI, Tableau, and real-world projects.

With hands-on assignments, live datasets, and expert guidance, you'll gain the skills required to analyze data, build predictive models, create dashboards, and solve real business problems. The course also includes interview preparation and placement assistance to help you become job-ready.

What You Will Learn

  1. Introduction to Data Science
  2. Python Programming
  3. NumPy & Pandas
  4. Data Cleaning & Preprocessing
  5. Exploratory Data Analysis (EDA)
  6. Statistics & Probability
  7. SQL for Data Analysis
  8. Data Visualization
  9. Machine Learning Algorithms
  10. Feature Engineering
  11. Deep Learning Basics
  12. Natural Language Processing (NLP)
  13. Tableau & Power BI
  14. Real-Time Projects
  15. Resume Building & Interview Preparation

Career Opportunities

After completing this course, you can pursue roles such as:

  1. Data Scientist
  2. Data Analyst
  3. Machine Learning Engineer
  4. Business Intelligence Analyst
  5. AI Engineer
  6. Python Developer
  7. Data Engineer
  8. Business Analyst
  9. Analytics Consultant

By the end of this course, you'll be able to collect, analyze, visualize, and interpret data, build machine learning models, create business dashboards, and apply industry-standard tools to solve real-world business problems with confidence.


Data Science Course in Bangalore — Detailed Syllabus

Our data science course in Bangalore is structured into 10 industry-aligned modules, taking you from Python basics to model deployment in 5 months — making RIA the best institute for data science in Bangalore.

Python Programming for Data Science - 2 Weeks
  • Python Basics & Environment Setup
    Installing Python, Anaconda & Jupyter Notebook
    Variables, Data Types, Operators
    Strings, Lists, Tuples, Sets, Dictionaries
  • Control Flow & Functions
    If-Else, Loops (for, while), List Comprehensions
    Defining & Calling Functions, Lambda Expressions
    Args, Kwargs, Recursion
  • Object-Oriented Programming (OOP)
    Classes, Objects, Inheritance
    Encapsulation, Polymorphism, Abstraction
  • File Handling & Exception Handling
    Reading/Writing CSV, JSON, and Text Files
    Try-Except, Custom Exceptions
  • Python Libraries Overview: os, sys, datetime, re
Data Manipulation with NumPy & Pandas - 2 Weeks
  • NumPy Fundamentals
    Arrays, Indexing, Slicing & Reshaping
    Array Operations: Broadcasting, Vectorization
    Statistical Functions: mean, std, percentile
    Linear Algebra with NumPy
  • Pandas for Data Analysis
    Series and DataFrames: Creating & Importing
    Indexing with loc, iloc, boolean masks
    groupby, merge, pivot_table, melt
  • Data Cleaning & Profiling
    Handling Missing Values (fillna, dropna, interpolate)
    Outlier Detection & Treatment (IQR, Z-Score)
    Data Type Conversion & String Operations
  • Practical Lab
    Cleaning a Real-World Messy Dataset
Data Visualization & Exploratory Data Analysis - 1.5 Weeks
  • Matplotlib
    Line, Bar, Scatter, Histogram, Pie Charts
    Subplots, Figure Customization, Annotations
  • Seaborn for Statistical Visualization
    heatmap, pairplot, boxplot, violinplot
    Distribution Plots: kdeplot, histplot
    FacetGrid & Categorical Plots
  • Interactive Dashboards with Plotly & Dash
    Plotly Express & Graph Objects
    Building Interactive Web Dashboards with Dash
  • Exploratory Data Analysis (EDA)
    Univariate, Bivariate & Multivariate Analysis
    Correlation Analysis & Feature Relationships
    EDA Project: E-Commerce Sales Dataset
Statistics & Probability for Data Science - 1 Week
  • Descriptive Statistics
    Mean, Median, Mode, Variance, Standard Deviation
    Skewness, Kurtosis, Percentiles & Quartiles
  • Probability Theory
    Probability Rules, Conditional Probability, Bayes' Theorem
    Probability Distributions: Normal, Binomial, Poisson
  • Inferential Statistics
    Hypothesis Testing: Z-Test, T-Test, Chi-Square Test
    p-Values, Confidence Intervals
    ANOVA (Analysis of Variance)
  • Central Limit Theorem & Sampling Techniques
Machine Learning – Supervised Learning - 3 Weeks
  • ML Fundamentals
    ML Pipeline: Data → Features → Model → Evaluation,
    Train-Test Split, Cross-Validation (K-Fold),
    Feature Engineering & Feature Selection,
    Encoding (Label, One-Hot), Scaling (MinMax, Standard)
  • Regression Algorithms
    Simple & Multiple Linear Regression,
    Polynomial Regression, Ridge, Lasso, Elastic Net,
    Metrics: MAE, MSE, RMSE, R²
  • Classification Algorithms
    Logistic Regression, K-Nearest Neighbors (KNN),
    Naive Bayes, Support Vector Machine (SVM),
    Decision Tree & Random Forest,
    Metrics: Accuracy, Precision, Recall, F1, ROC-AUC
  • Hyperparameter Tuning: GridSearchCV, RandomizedSearchCV
  • Project
    House Price Prediction & Churn Classification
Machine Learning – Unsupervised Learning - 1.5 Weeks
  • Clustering Algorithms
    K-Means Clustering & Elbow Method,
    Hierarchical Clustering & Dendrograms,
    DBSCAN for Density-Based Clustering
  • Dimensionality Reduction
    Principal Component Analysis (PCA),
    t-SNE for High-Dimensional Data Visualization
  • Anomaly Detection Techniques
  • Association Rule Mining: Apriori, FP-Growth
  • Project
    Customer Segmentation for Retail Business
Advanced ML – Ensemble Methods & Boosting - 2 Weeks
  • Ensemble Learning Techniques
    Bagging & Bootstrap Aggregating,
    Random Forest (in depth),
    Stacking & Blending Models
  • Gradient Boosting Algorithms
    Gradient Boosting Machines (GBM),
    XGBoost: Theory, Tuning & Implementation,
    LightGBM & CatBoost
  • Model Interpretability
    Feature Importance, SHAP Values,
    LIME for Model Explanation
  • Project
    Credit Risk Scoring with XGBoost
Deep Learning & Neural Networks - 2 Weeks
  • Neural Networks Fundamentals
    Perceptrons, Activation Functions (ReLU, Sigmoid, Softmax),
    Forward Propagation & Backpropagation,
    Loss Functions, Optimizers (SGD, Adam)
  • Building Models with Keras & TensorFlow
    Sequential & Functional API
    Dropout, Batch Normalization, Early Stopping
  • Convolutional Neural Networks (CNN)
    Convolution, Pooling, Flattening Layers
    Image Classification Project (MNIST / CIFAR-10)
  • Recurrent Neural Networks (RNN) & LSTM
    Sequence Modelling, Time Series Forecasting
    Sentiment Analysis with LSTM
  • Introduction to Transfer Learning (VGG, ResNet)
Natural Language Processing (NLP) - 1 Week
  • Text Preprocessing
    Tokenization, Stopword Removal, Stemming, Lemmatization
    Bag of Words (BoW) & TF-IDF Vectorization
  • NLP with NLTK & spaCy
    Named Entity Recognition (NER)
    POS Tagging & Dependency Parsing
  • Word Embeddings
    Word2Vec, GloVe Embeddings
    Introduction to BERT & Transformers
  • NLP Projects
    Spam Detection, Sentiment Analysis
Model Deployment, Big Data & Capstone Projects - 2 Weeks
  • Model Deployment with Flask & Streamlit
    Building REST APIs for ML Models with Flask
    Creating Interactive Web Apps with Streamlit
    Containerization with Docker (Intro)
    Deploying to Cloud: AWS / Google Cloud / Heroku
  • Big Data Tools Introduction
    Introduction to Apache Spark & PySpark
    Working with Large Datasets (Hadoop Ecosystem)
  • SQL for Data Science
    Joins, Aggregations, Window Functions
    Connecting SQL with Python (SQLAlchemy)
  • Capstone Projects
    End-to-End ML Pipeline: Predict & Deploy
    Industry Dataset Project (Healthcare / Finance / Retail)
    Building Your Complete Data Science Portfolio

Course Highlights

  • Duration: 5 Months
  • Level: Advanced
  • Learning Mode: Classroom & Online
  • Certification: Included
  • Job Support: Placement Assistance
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Why RIA Is the Best Institute for Data Science in Bangalore

Future-Ready Curriculum

Our data science course in Bangalore is updated every quarter to include the latest advancements in Python, TensorFlow, Scikit-Learn, XGBoost, and Big Data tools. You’ll graduate with skills that top companies in Bangalore are actively hiring for.

Expert Mentors

Our instructors are practising data scientists and ML engineers from top MNCs in Bangalore. Their hands-on, project-driven teaching approach is what makes this the best data science course in Bangalore for real-world readiness.

Marathahalli Center

RIA Institute’s Marathahalli campus is Bangalore’s premier data science institute in Bangalore — equipped with high-performance GPU workstations, dedicated ML labs, and fast internet for running deep learning models without interruption.

Capstone Projects

Students in our best data science courses in Bangalore complete 5+ end-to-end industry capstone projects across Healthcare, Finance, and Retail — building a strong portfolio that gets noticed by top recruiters.

Who Should Enroll in Our Data Science Course in Bangalore?

  1. Fresh Graduates (B.Tech / BCA / BSc / MBA) — looking to enter the booming data science field with a strong foundation
  2. Working Professionals in IT, Analytics, Finance, or Marketing who want to transition to data science roles in Bangalore
  3. Python / SQL Developers ready to advance into Machine Learning and AI
  4. Data Analysts who want to upskill to the full data science stack including Deep Learning and NLP
  5. Entrepreneurs & Product Managers who want to leverage data for better business decisions


No prior machine learning experience is required. Our data science course in Bangalore is designed to take you from zero to job-ready in just 5 months.


Learn More About Data Science

Best Data Science Course in Bangalore — Learn at RIA Institute, Marathahalli

RIA Institute of Technology is recognized as the best institute for data science in Bangalore, offering a 5-month intensive program from our Marathahalli campus — one of the city’s most connected tech hubs, accessible from Whitefield, Bellandur, KR Puram, Sarjapur Road, and Domlur.

Our data science course in Bangalore covers 10 comprehensive modules: Python for Data Science, NumPy & Pandas, Data Visualization, Statistics & Probability, Supervised ML, Unsupervised ML, Ensemble & Boosting Methods, Deep Learning & Neural Networks, NLP, and Model Deployment with Big Data tools — making it one of the most complete best data science courses in Bangalore available today.

What makes RIA stand out among every data science institute in Bangalore is our focus on industry projects. Students work on real datasets from Healthcare, Finance, and Retail — completing 5+ capstone projects that form an impressive portfolio ready to show to employers.

Our best data science course in Bangalore also covers emerging tools like XGBoost, LightGBM, BERT, PySpark, and Docker-based deployment — skills that are in high demand at Bangalore’s top tech companies and startups.

With both classroom and online modes, flexible batch timings (weekday, weekend, fast-track), and 100% placement assistance including mock interviews and hiring partner referrals, RIA Institute is the #1 choice for anyone searching for a data science course in Bangalore.

Join 5,000+ trained professionals who chose RIA Institute — the most trusted data science institute in Bangalore. Enroll today and build the skills that Bangalore’s top data-driven companies are hiring for.


Frequently Asked Questions — Data Science Course in Bangalore

Find answers to the most common questions about our Data Science course, including eligibility, curriculum, certifications, career opportunities, and placement support.

The data science course in Bangalore at RIA Institute is a 5-month (150+ hours) program delivered through classroom and online sessions, covering 10 modules from Python basics to model deployment.

Yes, RIA Institute is consistently rated among the best institutes for data science in Bangalore, with an industry-updated curriculum, MNC-experienced mentors, GPU-equipped labs, 5+ capstone projects, and 100% placement assistance.

Our best data science courses in Bangalore cover Python, NumPy & Pandas, Data Visualization, Statistics, Supervised & Unsupervised ML, Deep Learning, NLP, and Model Deployment with tools like XGBoost, TensorFlow, Flask, PySpark, and Docker.

Unlike most data science institutes in Bangalore, RIA provides 20+ hands-on labs, 5+ industry capstone projects, GPU workstations for deep learning, and direct placement connections with 200+ hiring partners.

The fee for our data science course in Bangalore is ₹51,300/-. This covers all 10 modules, study materials, lab access, project mentoring, and full placement support.

No prior ML experience is needed. Our data science course in Bangalore starts from Python fundamentals and progresses through advanced deep learning and deployment — ideal for both beginners and professionals.

Graduates of our data science course in Bangalore typically land roles as Data Scientist, ML Engineer, Data Analyst, AI Developer, Business Intelligence Analyst, and NLP Engineer at Bangalore’s top IT companies and startups.

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