Become a Data Science Pro: Master Data Analysis, Visualization, and Machine Learning with Python
Sub Category
- Data Science
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Objectives
- What is Python Data Science and Workflow?
- Control Flow: Conditionals and Loops
- Understanding Arrays and Matrices
- Data Cleaning and Preparation
- Merging and Joining Data
- Subplots and Figures
- Measures of Central Tendency
- Measures of Variability
- Normal, Binomial, and Other Distributions
- Types of Machine Learning: Supervised, Unsupervised, Reinforcement Learning
- Handling Imbalanced Data
- Linear and Logistic Regression
- Sentiment Analysis
Pre Requisites
- No prior knowledge is required!
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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