Best Data Science Course in Nagavara
Data Science Course in Nagawara is a career-focused training program for students, freshers, and working professionals who want to learn Python, machine learning, AI, data analytics, and real-time project skills. is a career-focused.
Online/Offline
Mode
4 - 5 Months
Duration
5+Live
Real time projects
Industry Recognized
Certification
About Data Science Courses
Looking for the Best data science courses certification Training in Nagawara? fast learning technologies offers practical, career-focused data science training designed for students, working professionals, fresh graduates, and career changers who want to build strong skills in data analytics, Python, machine learning, artificial intelligence, statistics, SQL, and real-time project implementation.
Nagawara is one of Bengaluru’s fast-growing professional and residential locations, surrounded by areas like Manyata Tech Park, HBR Layout, Hebbal, Thanisandra, Kalyan Nagar, RT Nagar, Hennur, Kammanahalli, and Jakkur. With many IT companies, startups, analytics teams, and business hubs nearby, learning data science in Nagawara gives learners a strong local advantage. At fast learning technologies, our training approach focuses on practical learning, industry-relevant tools, guided projects, certification support, and job-oriented preparation.
Our data science certification course is created to help learners understand how data is collected, cleaned, analyzed, visualized, and used for business decision-making. Whether you are starting from basics or upgrading your existing technical skills, our structured learning path helps you move step by step from fundamentals to advanced data science concepts.
Why Choose fast learning technologies?
1. Practical and Job-Oriented Training
Our training is not limited to theory. Every topic is supported with examples, assignments, datasets, and real-time use cases. This helps learners understand how data science is used in actual business environments.
2. Experienced Trainers and Simple Teaching
Our trainers explain complex concepts in simple professional language. Whether it is Python, statistics, SQL, machine learning, or data visualization, the teaching method is clear and structured.
3. Local Learning Advantage in Nagawara
Nagawara is close to major IT and business locations such as Manyata Tech Park, Hebbal, Thanisandra, HBR Layout, Hennur, Kalyan Nagar, and Kammanahalli. This makes our training location convenient for students, professionals, and job seekers living or working nearby.
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
AI-Powered Customer Sentiment Analysis and Recommendation System (Domain: Retail & E-Commerce)
Tools Used: Python, Machine Learning, Power BI, SQL, Excel Build an intelligent system to analyze customer reviews, social media feedback, and purchasing behavior using NLP techniques. Predict customer satisfaction and recommend personalized products through interactive dashboards.
Software Bug Prediction and Defect Analysis Platform (Domain: Software Testing)
Tools Used: Python, Machine Learning, Power BI, SQL, Excel Analyze software testing data, defect logs, and application performance to predict high-risk modules, identify bug patterns, and improve software quality management.
Cloud Infrastructure Monitoring and Resource Optimization System (Domain: Cloud Computing & DevOps)
Tools Used: Python, Power BI, SQL, Excel, AWS/Azure Monitor cloud server performance, CPU usage, storage utilization, and network traffic to optimize infrastructure costs and improve system reliability.
Cybersecurity Threat Detection and Network Traffic Analysis (Domain: Cybersecurity)
Tools Used: Python, Machine Learning, Power BI, SQL, Excel Analyze network logs, suspicious activities, malware patterns, and unauthorized access attempts to detect cyber threats and improve security monitoring systems.
AI-Powered IT Helpdesk Ticket Classification System (Domain: IT Support)
Tools Used: Python, NLP, Power BI, SQL, Excel Develop an automated ticket classification system that categorizes IT support requests, predicts priority levels, and improves response efficiency using Natural Language Processing.
Employee Productivity and System Usage Analytics Platform (Domain: IT Operations)
Tools Used: Python, Power BI, SQL, Excel Analyze employee login activity, project tracking, system utilization, and work performance to improve operational efficiency in IT organizations.
Intelligent Server Performance and Downtime Prediction System (Domain: System Administration)
Tools Used: Python, Machine Learning, Power BI, SQL, Excel Monitor server logs, CPU utilization, memory usage, and downtime history to predict failures and improve infrastructure availability.
AI-Based Code Recommendation and Developer Productivity Analysis (Domain: Software Development)
Tools Used: Python, Machine Learning, Power BI, SQL, Excel Analyze coding patterns, GitHub commits, project timelines, and bug fixes to recommend optimized coding practices and improve developer productivity.
DevOps CI/CD Pipeline Performance Analytics System (Domain: DevOps Engineering)
Tools Used: Python, Power BI, SQL, Excel, Jenkins/Git Track deployment frequency, build failures, testing results, and release cycles to optimize CI/CD pipeline efficiency and software delivery performance.
IT Asset Management and Hardware Failure Prediction System (Domain: IT Infrastructure)
Tools Used: Python, Machine Learning, Power BI, SQL, Excel Analyze hardware usage, maintenance records, device performance, and asset lifecycle data to predict failures and optimize IT asset management.
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
Data Science 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)
fast learning technologies offers practical and career-focused data science certification training in Nagawara. The course covers Python, SQL, statistics, data analysis, visualization, machine learning, projects, and certification guidance.
Yes. Beginners can join this course. The training starts with basic programming and data concepts before moving to advanced topics like machine learning and real-time projects.
Yes. The course is suitable for working professionals from Manyata Tech Park, Nagawara, Hebbal, Thanisandra, HBR Layout, Hennur, and nearby areas who want to upgrade their skills or move into data science roles.
You will learn Python, SQL, statistics, data cleaning, data analysis, data visualization, machine learning, model evaluation, AI basics, and project implementation.
