Data Science & AI Career Training Program
Orange ITech Provide’s 100% Placement Assistance With Real World Projects
Language: English
Certificate: Yes
Duration: 6 Months
Online/Offline Available
Our Student Placed in
About the Course
Unlock the power of Data Science and Artificial Intelligence with this comprehensive course. Learn Python, Machine Learning, Deep Learning, NLP, and AI tools to build real-world applications. From data preprocessing to model deployment, this course covers everything you need to become a job-ready data scientist or AI expert.
What You Will Learn in Data Science & AI Course
Frontend Developement
HTML Syllabus
• Introduction to HTML
• HTML Tags and Elements
• HTML –Attributes
• HTML -Formatting
• HTML –Phrase Tags
• HTML – Metatags
• HTML –Comments
• HTML-Image tags
• HTMLTables
• HTML –Lists
• HTML -Iframes
• HTML –Blocks
• HTML –Backgrounds
• HTML -Colors,Fonts
HTML5 Syllabus
- Understanding Web Concepts & Terminologies
• HTML -Forms
• New Feature in HTML5
• HTML Content / Media Tags
• HTML5 Semantic Tags
• Media Queries
• Project-1 static website
CSS Syllabus
- Introduction with CSS
• The STYLE Element
• Measurement Units
• Colors,Backgrounds
• Fonts,texts,images
• Tables
• Borders
• Margins
• Paddings
CSS 3 - Syllabus
- Introduction with CSS3
• Rounded Corners
• Border Image
• Shadow
• 2dTransforms
• 3dTransforms
• Animation
• User Interface
BOOTSTRAP 4 Syllabus
- Installation Of Bootstrap 4
• Bootstrap Forms
• Bootstrap Containers
• Bootstrap Colors
• Bootstrap Buttons
• Bootstrap Cards
• Bootstrap Dropdowns
• Bootstrap Navbar
• Bootstrap Carousel
• Bootstrap Components
• Bootstrap Grid System
• Responsive Website Development
Java Script Syllabus
- Variables, Operators
• Control structure
• Function
• Events
• Dynamic Program
• Strings Object And Arrays Object
• Date Object And RegExpObject
• Math Object
• JavaScript -Document Object
Model or DOM
Advance Java Script Syllabus
- Errors & Exceptions Handling
• Form Validation
• Animation
• Multimedia
• Debugging
• Image Map
• Browsers Compatibility
Data Science
Data Science Essentials
• Introduction to Data Science
• Python for Data Science
• Data Manipulation & Visualization with Python
• Exploratory Data Analysis (EDA)
• Statistics for Data Science
• Machine Learning Basics
• Advanced Machine Learning Technique
• Supervised Learning Models
• Unsupervised Learning Models
• Deep Learning & Neural Networks
• Time Series Analysis and Ensemble Learning
• SQL and Data Storage
• Data Visualization and Reporting Tools Data Visualization and Reporting
Tools
• 4 Projects
Version Control System
• Introduction to Version Control
• Getting Started with Git
• Git Workflow
• Branching in Git
• Merging and Resolving Conflicts
• Working with GitHub
• Collaboration Workflows
• Advanced Git Commands and
Techniques
• Best Practices for Git and GitHub
SQL
- MYSQL Server installation
• Introduction to Basic Database Concepts
• Introduction to SQL Server
• DDL and DML Statements
• Working with Constraints
• Working with Queries (DQL)
• Joins and Set Operations
• Implementing Views
• Working with Stored Procedures and Functions
• Cover 400+ queries
DSA
Fundamentals
- Time And Space Complexity
- Recursion
- Math Problem & Algorithm
Algorithms
- Sorting Algorithms (Bubble, Selection, Insertion, Merge, Quick)
- Serching Algorithms (Binary Search)
Object Oriented Programing (OOP)
- Classes & Objects
- Constuctors
Aptitude
Quantitative Aptitude
- Average
• Percentage
• Profit and Loss
• Simple Interest
• Compound Interest
• Ratio Proportion
• Time and Work
• Time
• Speed
• Distance Number
• System
• Permutation and Combination
• Probability
• Data Interpretation
Logical Reasoning
- Blood Relation
• Direction sense
• Coding and decoding• Clocks and Calendar• Cubes and Dices
• Seating arrangement
• Syllogism• Data sufficiency
• Puzzles
• Miscellaneous
Softskills
- Setting the tone
• Introduction of Be Employable
• Competency Matrix
• Effective Communication
• Presentation skills
• Business Communication
• Attitude + Motivation
• Emotional Intelligence
• Leadership
• Create CV/Resume
• Group Discussion
• Mock Group Discussion
• PI practice
• Virtual Interview
• Industry Knowhow and future, Certifications and
action plan
Projects
3 Projects
Apply heaps & priority queues for task scheduling.
FAQs
What is this Data Science & AI course all about?
This course is a complete guide to mastering data science and artificial intelligence. You’ll learn everything from Python programming and data analysis to machine learning, deep learning, and AI project deployment—all through practical, hands-on learning.
Do I need a technical background to start this course?
No! This course is designed for both beginners and professionals. Whether you’re from a non-technical background or a tech enthusiast, we start from the basics and gradually build up to advanced topics.
Do I need coding experience to join this course?
Not at all! This course starts from the absolute basics. You don’t need any prior programming knowledge. We will teach you step-by-step, making sure you build confidence in coding.
What tools and technologies will I learn?
You’ll gain hands-on experience with:
Python for data analysis
Pandas, NumPy, Matplotlib for data handling and visualization
Scikit-learn & TensorFlow for machine learning
Deep Learning with Keras
Natural Language Processing (NLP)
AI model deployment using Flask/Streamlit
Will I work on real-world projects?
Yes! You’ll build real-world projects like predictive models, recommendation engines, sentiment analysis tools, and more. These projects help you build a strong portfolio for jobs or freelancing.
Is there a certificate after course completion?
Yes, you’ll receive a recognized certificate that you can add to your resume or LinkedIn profile. It shows your expertise in Data Science & AI.
How long does it take to complete this course?
You can complete the course in 6 months, depending on your pace. It’s flexible and designed for both full-time learners and working professionals.
What job roles can I apply for after completing this course?
You’ll be ready for roles like:
Data Scientist
Machine Learning Engineer
AI Developer
Data Analyst
Business Intelligence Specialist
Do I need a high-end computer for this course?
No, a standard laptop or desktop is enough. For deep learning sections, we’ll guide you on how to use Google Colab (a free cloud-based tool with GPU access).
Can I learn at my own pace?
Yes! The course is self-paced, so you can learn anytime, anywhere—even alongside your job or studies.
How do I enroll in the course?
Simply visit our official website or contact the Orange ITech team. You’ll get instant access to course material, mentorship support, and project work.
Earn a Master Certification in Data Science & AI Development
Get recognized for your expertise with a Master Certification in Data Science & AI Development. This industry-recognized certificate validates your skills and makes you stand out in the job market.
