Curriculum
This course is designed to help you master the fundamentals of Python programming and its applications in data science and machine learning. You will learn how to use Python libraries such as NumPy, Pandas, Matplotlib, and Scikit-Learn for data analysis, visualization, and machine learning. You will also learn how to use Python for data mining, data cleaning, and data wrangling. This course will help you master the fundamentals of Python programming and its applications in data science and machine learning.
Trainer
Lana Podolski
Course Fee
$500
Available Seats
Unlimited
Schedule
Custom pace
Duration
21 Hours
Foundations of Data Science with Python
- Introduction to data science and its importance
- Python programming basics and data structures
- Data manipulation with libraries like NumPy and Pandas
- Data visualization using Matplotlib and Seaborn
Machine Learning and Predictive Analysis
- Understanding the fundamentals of machine learning
- Exploring machine learning libraries like Scikit-Learn
- Building and training machine learning models
- Evaluating model performance and making predictions
Data Analysis and Visualization Projects
- Working on real-world data analysis projects
- Data preprocessing and feature engineering
- Creating interactive data visualizations
- Presenting insights from data analysis
Capstone Data Science Project
- Undertaking a comprehensive data science project
- Applying machine learning and data analysis techniques
- Creating data-driven solutions for real-world problems
- Presenting and documenting the project results
