Data Scientist Course Near Nagawara

Are you searching for the best data Science classes in Nagavara to build a successful career in analytics, machine learning, and artificial intelligence?

Online/Offline

Mode

3 - 4 Months

Duration

5+Live

Real time projects

Industry Recognized

Certification

About Data Scientist Courses

Looking for a data scientist course near Nagawara to kickstart your career in analytics, machine learning, and artificial intelligence? Fast Learning Technologies offers a comprehensive, career-focused training program for students, freshers, and working professionals. Our course is designed to provide practical skills, hands-on project experience, and certification support to help learners become industry-ready data scientists.

Nagawara, surrounded by Manyata Tech Park, Hebbal, HBR Layout, Thanisandra, Kalyan Nagar, Hennur, and RT Nagar, has become one of Bengaluru’s prime technology hubs. Choosing a data scientist course in this location offers convenient access for learners from nearby IT parks, educational institutions, and residential areas while providing exposure to modern data-driven business environments.

At Fast Learning Technologies, our curriculum covers Python, SQL, statistics, data analysis, machine learning, artificial intelligence, data visualization, and real-world projects. Our aim is to equip learners with the knowledge and experience required to excel in data-driven roles across industries.

Why Choose fast learning technologies?

1. Practical, Industry-Focused Training

Our curriculum is built around real-world datasets, Python coding, and machine learning applications to ensure learners gain actionable skills.

2. Experienced Trainers

Trainers simplify complex data science concepts and provide mentorship for beginners and professionals alike.

3. Convenient Nagawara Location

Our training center is accessible from Manyata Tech Park, Hebbal, Thanisandra, HBR Layout, Hennur, Kalyan Nagar, and RT Nagar, making it ideal for local learners.

Our Alumni's Are Placed At

Course Curriculum

Module 1: Introduction to Data Science & Analytics

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.).

Module 2: Mathematics & Statistics for Data Science

Linear Algebra Essentials
Probability & Distributions
Descriptive & Inferential Statistics
Hypothesis Testing & Confidence Intervals
Correlation & Regression Analysis
Time Series Analysis Basics.

Module 3: Python for Data Science

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.

Module 4: SQL & Database Management

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).

Module 5: Data Analysis & Visualization

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

Module 6: Machine Learning (ML)

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

Module 7: Deep Learning & Neural Networks

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.

Module 8: Natural Language Processing (NLP)

Text Processing & Tokenization
Sentiment Analysis & Text Classification
Named Entity Recognition (NER)
Chatbot Development with NLP.

Module 9: Big Data & Cloud Computing

Introduction to Big Data Technologies (Hadoop, Spark)
Cloud Data Platforms (AWS, Google BigQuery, Azure)
Streaming Data Processing.

Final Projects

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.

Predictive Healthcare Disease Diagnosis and Patient Risk Analysis (Domain: Healthcare)

Tools Used: Python, Machine Learning, Power BI, SQL, Excel Develop predictive models to identify disease risks based on patient history, symptoms, lab reports, and lifestyle data. Visualize patient health trends and improve treatment planning with data-driven insights.

Smart Banking Fraud Detection and Credit Risk Prediction System (Domain: Banking & Finance)

Tools Used: Python, Machine Learning, Power BI, SQL, Excel Analyze banking transactions, customer spending patterns, and loan history to detect fraudulent activities and predict credit risks using classification algorithms and real-time dashboards.

AI-Based Employee Attrition and Workforce Performance Prediction (Domain: Human Resources)

Tools Used: Python, Machine Learning, Power BI, SQL, Excel Build predictive analytics models to identify employee attrition risks, analyze performance metrics, salary patterns, attendance trends, and recruitment efficiency for HR decision-making.

Intelligent E-Commerce Product Recommendation and Sales Forecasting System (Domain: Retail & E-Commerce)

Tools Used: Python, Deep Learning, Power BI, SQL, Excel Create recommendation engines using customer purchase history and browsing behavior. Forecast future sales trends and product demand using time-series forecasting models.

Stock Market Prediction and Investment Analysis Platform (Domain: Finance & Trading)

Tools Used: Python, Machine Learning, Power BI, SQL, Excel Analyze historical stock prices, market indicators, and trading volume to predict stock trends and provide investment insights through advanced visual dashboards.

AI-Based Traffic Accident Prediction and Smart City Analytics (Domain: Transportation & Smart City)

Tools Used: Python, Machine Learning, Power BI, SQL, Excel Analyze traffic patterns, accident records, weather conditions, and road usage data to predict accident-prone zones and improve urban traffic management.

8. Social Media Trend Analysis and Fake News Detection System (Domain: Media & Communication)

Tools Used: Python, NLP, Power BI, SQL, Excel Use Natural Language Processing to analyze trending topics, user sentiments, and detect fake news content across social media platforms using classification models.

AI-Driven Student Performance and Learning Analytics System (Domain: Education)

Tools Used: Python, Machine Learning, Power BI, SQL, Excel Predict student performance based on attendance, assignments, exam scores, and learning behavior. Generate insights for personalized education strategies and academic improvement.

Smart Energy Consumption Forecasting and Optimization System (Domain: Energy & Utilities)

Tools Used: Python, Machine Learning, Power BI, SQL, Excel Analyze electricity consumption patterns, weather data, and smart meter readings to forecast energy demand and optimize power distribution efficiently.

Trainer profile

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

All major global multinational corporations accept our certification. We provide after completion of the theoretical and practical sessions to fresher’s as well as corporate trainees, by earning this certification, which is provided at the conclusion of the course.

You can increase the importance of your profile during interviews and gain access to a wide range of professional opportunities by combining this certificate with your CV.

The certification is only given upon the successful completion of our training and project-based projects with a practical component.

Students Placements

Data Scientist Course Fee and Duration

Classroom Sessions

35,000/- 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

Fast Learning Technologies offers the best Data Analytics training in Bangalore. I enrolled in their program to enhance my skills in this field, and I was able to learn everything in depth. I would like to thank the entire team at Fast Learning Technologies for their support. I highly recommend this training to my friends. Thank you.

Surya

My Honest Review. Joined Fast Learning Technologies with Zero Knowledge on SQL but after completing the course i can confidently say that I gained lot of knowledge on SQL. Trainers here are best in the industry. I will never have a second thought to refer any of my friends to this institute. Keep doing good

Saravana Natraj

This is a very good institute with excellent facilities, and I am confident that everyone will find a job after completing their training. The practical classes are beneficial, and the instructor covered all the material with impressive presentation skills. I highly recommend this institute, especially for those not in the IT field.

Lalith Kumar

Frequently Asked Questions (FAQ)

1. Which is the best data scientist course near Nagawara?

Fast Learning Technologies offers practical, industry-aligned data scientist training near Manyata Tech Park and Hebbal.

2. Can beginners join this course?

Yes. The course starts with fundamentals like Python and gradually moves to advanced ML and AI concepts.

3. Do you provide project-based training?

Yes. Projects are a key part of our training to ensure hands-on experience and practical understanding.

4. Are online classes available?

Yes. Both online and offline classes are offered for learners from Nagawara, HBR Layout, Thanisandra, and nearby areas.

5. What career roles can I get after completing the course?

Learners can pursue careers as Data Analysts, Junior Data Scientists, Business Analysts, ML Associates, or AI Trainees.

Placement Records