Big Data Course in Bangalore
Looking for a practical and career-focused big data course in bangalore? Fast Learning Technologies offers a structured Big Data training program designed for students
Online/Offline
Mode
4 - 5 Months
Duration
5+Live
Real time projects
Industry Recognized
Certification
About big data course
Looking for a practical and career-focused big data course in bangalore? Fast Learning Technologies offers a structured Big Data training program designed for students, fresh graduates, working professionals, software developers, data analysts, database learners, IT professionals, and career switchers who want to build strong skills in large-scale data processing, Hadoop ecosystem, Spark, Hive, SQL, data pipelines, real-time projects, and modern data engineering concepts.
Bangalore is one of India’s leading technology and data-driven business hubs. Companies in the city generate huge amounts of data from websites, mobile apps, customer transactions, financial systems, cloud platforms, marketing campaigns, IoT systems, business tools, and enterprise applications. This data must be stored, processed, analyzed, and converted into useful business insights. That is where Big Data skills become important.
At Fast Learning Technologies, our Big Data Course in Bangalore helps learners understand how large datasets are managed and processed using practical tools and concepts. The course is designed in simple professional language so beginners can learn step by step and understand how Big Data is used in real companies.
Whether you are starting your data career or upgrading your current IT skills, this course helps you build a strong foundation for Big Data, data engineering, analytics, and cloud data roles.
What Makes Fast Learning Technologies a Trusted Choice?
Fast Learning Technologies focuses on practical training, clear explanation, and career-ready learning. Many learners hear the term Big Data but do not fully understand what it means. Some think it is only about large files. Some believe it is too difficult for beginners. Some professionals know SQL or programming but do not understand distributed data processing.
Our Big Data training solves this confusion with a structured learning path. Students first understand data basics, then move into Big Data concepts, Hadoop ecosystem, distributed storage, distributed processing, Hive, Spark, SQL-based analytics, data pipelines, and project practice.
The goal is not only to teach tool names. The goal is to help students understand how companies store, process, and analyze very large amounts of data.
A Big Data professional should understand data flow, storage systems, processing engines, batch processing, data transformation, query handling, and business use cases. Fast Learning Technologies trains students with this practical and professional approach.
What Makes Our Big Data Course Different?
Our Big Data course focuses on:
- Beginner-friendly Big Data concepts
- Hadoop ecosystem understanding
- Spark-based data processing basics
- Hive and SQL-style data querying
- Data pipeline and data workflow practice
- Real-time dataset-based learning
- Practical project assignments
- Resume and interview preparation
- Career guidance for data roles
- Bangalore-focused IT and analytics job relevance
Our Alumni's Are Placed At
Course Curriculum
- What is Data Science?
- Data Science vs Data Analytics vs Machine Learning vs AI
- Career Opportunities in Data Science
- Lifecycle of a Data Science Project
- Overview of Tools & Technologies (Python, R, SQL, Power BI, TensorFlow, etc.).
- Linear Algebra Essentials
- Probability & Distributions
- Descriptive & Inferential Statistics
- Hypothesis Testing & Confidence Intervals
- Correlation & Regression Analysis
- Time Series Analysis Basics.
- Python Basics & Data Structures
- Control Statements & Functions
- Libraries for Data Science (NumPy, Pandas, Matplotlib, Seaborn)
- Data Wrangling & Preprocessing
- Data Visualization with Python
- Automating Data Workflows with Python.
- Introduction to Databases (MySQL, PostgreSQL)
- Writing SQL Queries (SELECT, INSERT, UPDATE, DELETE)
- Joins, Subqueries & Indexing
- Data Aggregation & Grouping
- Data Warehousing & ETL Concepts
- NoSQL Databases (MongoDB).
Excel & Advanced Excel
- Pivot Tables, VLOOKUP, HLOOKUP
- Data Cleaning & Validation
- Macros & Automation
Power BI & Tableau
- Creating Dashboards & Reports
- Data Modeling & DAX Functions
- Connecting to Multiple Data Sources
- Introduction to Machine Learning
- Supervised vs Unsupervised Learning
- Regression Techniques (Linear, Multiple, Polynomial)
- Classification Models (Logistic Regression, SVM, Decision Trees, Random Forest)
- Clustering (K-Means, DBSCAN, Hierarchical)
- Model Evaluation Metrics (Confusion Matrix, ROC, Precision-Recall)
- Feature Engineering & Data Scaling
- Introduction to Neural Networks
- TensorFlow & Keras Basics
- Artificial Neural Networks (ANN)
- Convolutional Neural Networks (CNN) for Image Processing
- Recurrent Neural Networks (RNN) for Time-Series Data
- Generative Adversarial Networks (GANs)
- Hyperparameter Tuning & Model Optimization.
- Text Processing & Tokenization
- Sentiment Analysis & Text Classification
- Named Entity Recognition (NER)
- Chatbot Development with NLP.
- Introduction to Big Data Technologies (Hadoop, Spark)
- Cloud Data Platforms (AWS, Google BigQuery, Azure)
- Streaming Data Processing.
- Two – Real time Industry Projects
- Resume Building & Portfolio Development
- Data Analytics Case Studies & Best Practices
- Mock Interviews & Placement Assistance
Hands-On Projects to Strengthen Your Portfolio
End-to-End Customer Churn Analysis and Prediction System (Domain: Telecom)
Tools Used: Python, Power BI, Excel, SQL Collect and clean telecom customer data, analyze usage patterns, identify churn reasons, build predictive models, and create interactive dashboards for business insights.
Hospital Management and Patient Insights Analytics Project (Domain: Healthcare)
Tools Used: Python, Power BI, Excel, SQL Perform complete analysis of patient admissions, doctor performance, treatment costs, disease trends, and hospital resource utilization with real-time dashboards.
E-Commerce Business Sales and Customer Analytics Platform (Domain: Retail & E-Commerce)
Tools Used: Python, Power BI, Excel, SQL Analyze customer purchasing behavior, sales performance, product demand, profit margins, and regional sales trends to improve business decision-making.
Employee Performance and HR Analytics Management System (Domain: Human Resources)
Tools Used: Python, Power BI, Excel, SQL Analyze employee attendance, productivity, salary trends, attrition rates, and recruitment data to optimize workforce management.
Banking Loan Risk and Financial Fraud Detection Analysis (Domain: Banking & Finance)
Tools Used: Python, Power BI, Excel, SQL Analyze customer financial history, loan approvals, repayment behavior, and suspicious transactions to identify fraud risks and improve loan decision processes.
Trainer profile
Kiran Babu
(10 years) – Kiran Babu brings a decade of hands-on experience in data analytics and machine learning.
Praveen
(8 years) – Praveen has 8 years of experience in data science and AI applications.
Arun
(13 years) – Arun is a seasoned data science professional with 13 years of experience in big data, AI, and advanced analytics.
Ankit
(10 years) – Ankit has 10 years of experience in machine learning and data engineering.
Dibiya Jyothi
(11 years) – Dibiya Jyothi brings 11 years of expertise in AI, deep learning, and data modeling.
Course batch schedule
| Date | Course | Batch | Timings |
|---|---|---|---|
| 18 May | Python | New Batch | 8 AM - 9 AM |
| 18 May | SQL | New Batch | 6 PM - 7 PM |
| 21 May | Excel | New Batch | 9 AM - 10 AM |
| 21 May | Power BI | New Batch | 2 PM - 3 PM |
| 23 May | AWS | New Batch | 5 PM - 6 PM |
| 23 May | Frontend | New Batch | 10 AM - 11 AM |
| 27 May | Linux | New Batch | 4 PM - 5 PM |
| 30 May | Data Science | New Batch | 8 AM - 9 AM |
| 30 May | Machine Learning | New Batch | 5 PM - 6 PM |
| 03 Jun | AI | New Batch | 8 AM - 9 AM |
Get Certified & Prove Your Industry Readiness
Students Placements
Big Data Course Fee and Duration
Classroom Sessions
38,000/- Offer price
- Fees payable in up to 3 installments
- 0% Interest EMI – Pay in Easy Installments (though education financing partners)
- Cost-effective courses with high ROI, making it worth every penny you invest.
Students Review
Frequently Asked Questions (FAQ)
Yes! Our Big Data course in Bangalore is designed for both
freshers and IT professionals. No prior Big Data experience
is required — we start from the basics.
Our Big Data course in Bangalore covers Hadoop, Apache Spark,
Kafka, Hive, HBase, AWS BigQuery, Azure Data Lake and PySpark.
After completing the course and gaining enough practice, you can apply for roles such as Big Data Associate, Data Engineer Trainee, Hadoop Developer, Spark Developer Trainee, Big Data Analyst, ETL Developer Trainee, and Data Processing Associate.
Yes. Bangalore has a strong IT, analytics, cloud, startup, and product company ecosystem. Many companies work with large datasets and need professionals who understand Big Data processing, data pipelines, Hadoop, Spark, and analytics workflows.