Full Stack Data Science Program

Course Overview

The Full Stack Data Science & AI Training Course provides comprehensive training in data analysis, machine learning, and artificial intelligence. The course covers Python programming, data collection, data preprocessing, statistical analysis, data visualization, machine learning, and deep learning. Through hands-on exercises and real-world projects, learners develop practical skills to solve data-driven problems and build AI applications.

Learn software and AI skills from experienced professionals through live classes or recorded video sessions.

Description

The Full Stack Data Science & AI Course is designed for beginners and professionals seeking to develop skills in data science and artificial intelligence. Participants will learn Python, data analysis libraries, machine learning algorithms, deep learning, and AI techniques such as natural language processing and computer vision. Practical assignments and industry-oriented projects help learners gain experience in developing data-driven solutions.

Course Objectives

• Understand data science and artificial intelligence fundamentals.

• Develop programming skills using Python and relevant libraries.

• Learn data collection, cleaning, and preprocessing techniques.

• Perform statistical analysis and data visualization.

• Understand machine learning algorithms and predictive modeling.

• Explore deep learning, neural networks, and AI applications.

• Learn tools such as Pandas, NumPy, TensorFlow, and scikit-learn.

• Apply data science techniques to real-world problems.

• Build practical projects to strengthen technical skills.

• Prepare for career opportunities in data science, machine learning, and AI.

Prerequisites

• Basic understanding of programming concepts.

• Familiarity with Python is beneficial.

• Basic knowledge of mathematics and statistics.

• Understanding of data analysis concepts is an advantage.

• Familiarity with data visualization techniques is helpful.

• Basic computer skills and analytical thinking.

Note: Beginners can start with Python and data science fundamentals before progressing to advanced machine learning and AI topics.

Course Curriculum
Python
Mathematics
Statistics
SQL
EDA & ML
PowerBI
Deep Learning
Natural Language Processing (NLP)
Computer Vision