Learn Data Science from Scratch: Build, Analyze, and Deploy AI-Powered Solutions
Sub Category
- Data Science
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Objectives
- Understand Data Science Workflow: Master the end-to-end data science lifecycle, from data collection to model deployment.
- Data Collection Techniques: Learn to gather data from APIs, databases, and web scraping.
- Data Preprocessing: Clean and preprocess raw data for analysis and modeling.
- Exploratory Data Analysis (EDA): Uncover patterns and trends in datasets using visualization tools.
- Feature Engineering: Create and optimize features to improve model performance.
- Machine Learning Models: Build regression, classification, and clustering models using scikit-learn.
- Deep Learning Techniques: Train neural networks with TensorFlow and PyTorch.
- Model Deployment: Serve AI models using Flask, FastAPI, and Docker.
- Big Data Handling: Work with large datasets using tools like Hadoop and Spark.
- Ethical AI Practices: Understand data privacy, bias mitigation, and AI governance.
Pre Requisites
- Basic Computer Skills: Familiarity with using computers, installing software, and navigating file systems.
- Fundamental Programming Knowledge (Optional): Basic understanding of programming concepts like variables, loops, and functions (Python preferred).
- Mathematics Fundamentals: High-school-level understanding of algebra, statistics, and basic probability.
- Logical Thinking: Ability to approach problems methodically and think critically.
- A Stable Computer Setup: A computer with at least 8GB RAM (16GB recommended), 50GB free storage, and the ability to install Python and relevant libraries.
- Curiosity and Passion for Learning: An eagerness to learn, experiment, and explore the exciting world of Data Science.
- Time Commitment: Willingness to dedicate 10-15 hours per week to lessons, exercises, and projects.
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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