Description

Data Science Python Analytics Course

Data Science Python Analytics Course empowers learners to master data science and analytics using Python, providing practical skills for real-world applications. This comprehensive course is perfect for aspiring data scientists, analysts, and Python enthusiasts seeking to enhance their career opportunities.

Course Description

This Data Science and Analytics with Python: Second Edition course offers an in-depth exploration of Python tools and techniques used in data analysis, machine learning, and visualization. Learners will gain hands-on experience working with libraries such as pandas, NumPy, Matplotlib, and Scikit-learn. Additionally, the course guides students through real-world datasets, enabling them to draw meaningful insights and make data-driven decisions. By the end of this course, students will confidently build predictive models, perform exploratory data analysis, and visualize results effectively.

What You’ll Learn

• Core concepts of Python for data science and analytics
• Data preprocessing and cleaning techniques
• Exploratory data analysis (EDA) using Python libraries
• Data visualization with Matplotlib, Seaborn, and Plotly
• Supervised and unsupervised machine learning algorithms
• Model evaluation and optimization strategies
• Working with large datasets and data pipelines
• Real-world data science project implementation

Requirements

• Basic knowledge of Python programming
• Understanding of fundamental mathematics and statistics
• Access to a computer with Python installed
• Motivation to practice with real datasets

About the Publication

This second edition is authored by industry experts with extensive experience in data science and analytics. It includes updated examples, modern Python libraries, and new case studies designed to provide learners with actionable insights. The publication ensures that students not only understand theory but can also apply techniques practically to solve real-world problems.

Explore These Valuable Resources

• Kaggle – Data Science Platform
• Real Python Tutorials
• Scikit-learn Official Documentation

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