Name: Data Science & AI Mastery: 100 Days to Career Success
Availability: InStock

What You'll Learn

Master Python programming, statistics, and data handling as the foundation for Data Science & AI
Perform data cleaning, feature engineering, and exploratory data analysis (EDA) with real-world datasets
Build and evaluate machine learning models for regression, classification, clustering, and forecasting
Apply deep learning with Neural Networks, CNNs, RNNs, and LSTMs using TensorFlow/Keras.
Work with Large Language Models (LLMs), practice prompt engineering, and explore generative AI use cases
Solve industry-level case studies such as churn prediction, sales forecasting, and recommendation systems.
Develop an end-to-end capstone project with data pipeline, model, dashboard, and business insights
Build a portfolio and resume that showcase your skills and prepare you for career opportunities in Data Science & AI.

Requirements

No prior experience in Data Science or AI is required — the course starts from the basics
A basic understanding of high-school level math (algebra, probability, and statistics) will be helpful
Familiarity with Python programming is a plus, but not mandatory — core concepts are covered early on
A computer with internet access and the ability to install software such as Python, Jupyter Notebook, and required libraries.
Most importantly: a growth mindset, curiosity, and commitment to completing the 100 days of structured learning.

Beginners who want to start their journey into Data Science and AI with a structured, step-by-step roadmap
Students & graduates from any field looking to build portfolio-ready projects and land entry-level roles in Data Science, Machine Learning, or AI
Professionals in IT, business, or analytics who want to upskill and transition into high-demand AI-driven careers
Entrepreneurs & innovators interested in applying AI solutions to solve business or industry problems.
Lifelong learners passionate about technology and eager to complete a 100-day challenge that combines theory, hands-on labs, and a capstone project

Bridging knowledge to industry with Data & AI education

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670 Reviews

34,855 Students

14 Courses

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