Online Live Streaming Course
October 6 to 10, 2025
Duration : 5 days
Level: Advanced
WHO SHOULD ATTEND: This course is for beginners and intermediate learners with a basic understanding of Python. It’s ideal for data analysts, aspiring data scientists, and professionals looking to enhance their skills in data manipulation, machine learning, and deep learning using Python tools like Pandas, NumPy, Matplotlib, and TensorFlow.
COURSE CONTENT AND OBJECTIVES:
This one-week Data Science Tools in Python course provides a comprehensive overview of essential tools and libraries used in the data science workflow. Participants will learn to manipulate and analyze data using Python libraries like Pandas, NumPy, and Matplotlib, and gain experience in data cleaning, exploration, and feature engineering. The course covers key statistical techniques and introduces machine learning algorithms using scikit-learn. Additionally, participants will delve into deep learning with TensorFlow, exploring model creation, training, and evaluation. Throughout the course, students will develop skills to visualize data and effectively communicate insights, preparing them for real-world data science applications.
Course content includes:
- Introduction to Python for data science
- Data manipulation with Pandas and NumPy
- Data visualization using Matplotlib
- Data cleaning, exploration, and feature engineering techniques
- Introduction to machine learning with scikit-learn
- Basic statistical techniques for data analysis
- Introduction to deep learning with TensorFlow
- Model creation, training, and evaluation with TensorFlow
