Mastering Python for Data Science
Course Description
Python has become the go-to language for data science due to its simplicity, flexibility, and powerful libraries. With Python, you can clean, analyze, and visualize data, build predictive models, and much more. This skill is in high demand across industries, and mastering Python will significantly boost your career as a data scientist or analyst.
What Will You Learn?
Python Fundamentals for Data Science
Working with Python Libraries: NumPy, Pandas, Matplotlib, Seaborn
Data Cleaning and Preprocessing
Exploratory Data Analysis (EDA)
Statistical Analysis with Python
Data Visualization Techniques and Dashboards
Machine Learning Basics with Scikit-Learn
Supervised and Unsupervised Learning Algorithms
Building and Evaluating Predictive Models
Deep Learning Introduction with TensorFlow/Keras
Natural Language Processing (NLP) Basics
Data Science Project Workflow and Best Practices
Working with APIs and Web Scraping for Data Collection
Who this course is for:
Aspiring data scientists and analysts
Professionals looking to transition into data science
Students studying data analysis, data science, or machine learning
Developers who want to apply Python to data problems
Anyone interested in leveraging Python to extract insights from data
Course Curriculum

Barclay Mcpherson
AccountantI am a web developer with a vast array of knowledge in many different front end and back end languages, responsive frameworks, databases, and best code practices