Career-focused data science training

Data Science Course in Bangalore & Hyderabad | Python, Machine Learning, Deep Learning & Artificial Intelligence | Online Training Across India

Join INFOMETIZ for Data Science training designed to help students build strong coding, statistical, and problem-solving skills, master end-to-end data science workflows, and move toward career opportunities in data science, machine learning, deep learning, and artificial intelligence roles.

Python Programming for Data Science
Statistics for Data Science
SQL for Data Science
Machine Learning
Data Visualization
Deep Learning
Artificial Intelligence
Real-world Data Science Projects
Offline classes in Bangalore & Hyderabad
Live online classes across India

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Career-focused training with placement assistance
Call us at +91 9900860686 or +91 7760032277

Welcome to INFOMETIZ Data Science Course Training

Data Science Training at INFOMETIZ is designed to help you build the essential technical, statistical, and problem-solving skills needed to move toward opportunities in the data science industry. With a focus on Python, SQL, statistics, machine learning, deep learning, artificial intelligence, and real-world projects, this course offers a structured learning path for beginners and aspiring professionals. Our trainers guide you through the concepts step by step so you gain the knowledge and confidence needed to clean data, analyze patterns, build predictive models, evaluate performance, and communicate insights effectively. By the end of the course, you are better prepared not only for project-oriented learning but also for career opportunities in data science, machine learning, deep learning, and artificial intelligence roles.

Videos for Your Help

What is Data Science?

Python for Data Science

Machine Learning Basics

Data Science Career Guidance

Data Science Course Syllabus & Module Details

Introduction to Python
Variables, Data Types, and Operators
Conditional Statements and Loops
Functions and Modules
Lists, Tuples, Sets, and Dictionaries
Strings and File Handling
Exception Handling
Object-Oriented Programming Basics
NumPy Basics
Pandas for Data Manipulation
Data Preprocessing Basics

Descriptive Statistics
Probability
Probability Distributions
Sampling Techniques
Hypothesis Testing
Correlation and Regression Basics
Mean, Median, Mode
Variance and Standard Deviation
Outlier Detection
Statistical Thinking for Data Science

Database Fundamentals
SELECT, WHERE, ORDER BY
GROUP BY and Aggregations
JOINS
Subqueries
Views
Data Cleaning with SQL
Filtering and Transformation
Working with Large Datasets
SQL for Data Science Workflows

Introduction to Machine Learning
Supervised Learning
Unsupervised Learning
Regression Models
Classification Models
Clustering
Model Evaluation
Feature Engineering
Overfitting and Underfitting
Real-world ML Project Workflow
Introduction to Deep Learning

Introduction to Visualization
Matplotlib
Seaborn
Charts for Trend Analysis
Comparison Charts
Distribution Plots
Storytelling with Data
Dashboard Concepts
Business Reporting
Presenting Insights Effectively

Introduction to Neural Networks
Perceptron and Activation Functions
Forward and Backpropagation
Loss Functions and Optimizers
Training and Validation
Overfitting and Regularization
TensorFlow or Keras Basics
Image and Text Use Cases Overview
Deep Learning Project Workflow
Model Performance Interpretation

Introduction to Artificial Intelligence
AI Concepts and Applications
Search and Problem Solving
Knowledge Representation Basics
Intelligent Systems Overview
AI vs Machine Learning vs Deep Learning
Natural Language Processing Overview
Computer Vision Overview
AI Use Cases in Industry
Responsible AI Basics

Why Choose Our Data Science Course?

Industry-oriented data science and artificial intelligence curriculum
Dedicated project guidance
Interview tips and resume building
Session on problem solving and model thinking
Highly experienced real-time trainers
Easy to understand explanations
Notes and handouts for better practice
Hands-on learning with datasets and projects
Assessments after each topic
Practice questions and case studies
Mock interview and doubt clarification sessions
Tips on how to progress in your data science and artificial intelligence career

★★★★★

Placement support is very good and the interview guidance was helpful. I am thankful to the team for their continuous support.

Data Science Course FAQ

Answers to common questions about our Data Science course, Python training, machine learning modules, deep learning topics, artificial intelligence concepts, and classroom or online batches.