About the Course
Commences Septemeber 2024,Join our waiting list to be the first to know -Click to Enroll
The ZICT Data Science Program is an immersive and comprehensive course designed to equip participants with the skills and knowledge needed to excel in the fields of Artificial Intelligence (AI), Machine Learning (ML), Python programming, chatbot development, and Data Analysis.
Course Overview:
AI Fundamentals: Participants will gain a solid understanding of AI concepts, including machine learning, deep learning, natural language processing (NLP), and computer vision. They will explore AI applications and ethical considerations.
Machine Learning Mastery: Participants will delve into ML algorithms, techniques, and frameworks such as supervised learning, unsupervised learning, reinforcement learning, TensorFlow, and PyTorch. They will apply ML models to solve real-world problems.
Python Programming Proficiency: Participants will develop proficiency in Python programming language, a key tool for data science and AI development. They will learn Python libraries such as NumPy, pandas, Matplotlib, and scikit-learn.
Chatbot Development: Participants will learn how to design, develop, and deploy chatbots using platforms like Dialogflow, Rasa, or custom development. They will explore conversational AI techniques and best practices.
Data Analysis Techniques: Participants will master data analysis techniques, including data cleaning, preprocessing, visualization, and interpretation. They will use tools like SQL, Excel, and Tableau for data manipulation and visualization.
Project-Based Learning: Participants will work on hands-on projects throughout the program, applying their skills and knowledge to solve real-world data science challenges. They will build a portfolio of projects to showcase their expertise.
Industry Insights: Participants will benefit from industry insights, guest lectures, and case studies from data science experts and practitioners. They will gain a deep understanding of industry trends, best practices, and career pathways in data science.
Course Duration: The course spans 15 weeks, with participants dedicating approximately 10-15 hours per week to coursework, projects, and practical exercises.
Outcome: By the end of the course, participants will emerge as proficient data scientists with expertise in AI, ML, Python, Chatbots, and Data Analysis. They will be equipped to tackle complex data challenges, drive data-driven decision-making, and contribute effectively to the rapidly evolving field of data science.
Curriculum Outline
Week 1-2: Introduction to Data Science
Week 3-4: Data Analysis and Modeling
Week 5-6: Big Data Technologies
Week 7-8: Advanced Machine Learning
Week 9-10: Data Engineering and Pipelines
Week 11-12: Data Visualization and Communication
Week 13-14: Real-world Data Projects
Week 15: Career Development and Job Preparation