Learn Python Programming, Data Analysis, and Machine Learning Techniques to Solve Real World Business Challenges with AI
Sub Category
- Web Development
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Objectives
- Overview of Python in Data Science
- Variables, Data Types, Lists, Dictionaries
- Control Structures (if/else, loops)
- Functions and Modules
- Introduction to Key Libraries:NumPy, Pandas, Matplotlib
- Data Selection and Filtering
- Handling Missing Data
- Data Transformation and Aggregation
- Descriptive Statistics: Mean, Median, Mode, Variance, Standard Deviation
- Encoding Categorical Variables
- Feature Scaling and Normalization
- Merging and Joining DataFrames
- Introduction to Matplotlib: Line Plots, Bar Charts, Pie Charts
- Introduction to Seaborn: Heatmaps, Pairplots, Violin Plots
- Customizing Visualizations: Titles, Labels, Legends, Colors
- Correlation and Regression Analysis
Pre Requisites
- No prior experience is needed.
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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