Python for Data Analysis
Unlock the power of Python for data analysis in this comprehensive 10-week course. Learn to manipulate, analyze, and visualize data using industry-standard libraries like pandas, numpy, and matplotlib. Perfect for analysts looking to automate workflows and perform advanced data analysis.
What You'll Learn
- Python programming fundamentals for data analysis
- Data manipulation with pandas DataFrames
- Numerical computing with numpy arrays
- Data visualization with matplotlib and seaborn
- Working with various data formats and APIs
- Automating analytical workflows
Course Overview
Python for Data Analysis is your gateway to becoming proficient in one of the most powerful programming languages for data science. In this comprehensive 10-week course, you'll learn how to leverage Python's extensive ecosystem of data analysis libraries to transform raw data into actionable insights.
Python has become the de facto standard for data analysis in both industry and academia. Its combination of simplicity, power, and extensive library support makes it ideal for everything from quick data exploration to building complex analytical pipelines. This course takes you from Python basics to advanced data manipulation and visualization techniques, ensuring you have the skills to handle any data analysis challenge.
What makes this course unique is its practical, hands-on approach. Every concept is reinforced through coding exercises and real-world projects. You'll work with actual datasets from various industries, learning how to clean messy data, perform complex transformations, and create insightful visualizations. By the end of the course, you'll have a portfolio of Python projects demonstrating your analytical capabilities.
Who Should Enroll
- Data analysts looking to enhance their technical skills
- Excel users wanting to automate and scale their analyses
- Business professionals seeking to leverage data more effectively
- Students preparing for careers in data science
- Anyone interested in programmatic data analysis
Course Curriculum
Week 1-2: Python Fundamentals
- Python syntax and basic data types
- Control structures and functions
- Working with files and directories
- Introduction to Jupyter notebooks
Week 3-5: Data Manipulation with Pandas
- DataFrames and Series fundamentals
- Data cleaning and preparation
- Filtering, sorting, and grouping data
- Merging and joining datasets
- Time series analysis
Week 6-7: Numerical Computing with NumPy
- NumPy array operations
- Mathematical and statistical functions
- Array manipulation and broadcasting
- Performance optimization techniques
Week 8-10: Data Visualization & Projects
- Matplotlib fundamentals
- Advanced plotting with seaborn
- Interactive visualizations
- Working with APIs and web data
- Final capstone project
Your Instructor
Jessica Chen
Python Developer & Data Analyst
Jessica Chen is a senior data analyst and Python expert with over 9 years of experience in data science and analytics. She has helped hundreds of companies transition from Excel-based workflows to automated Python pipelines, dramatically increasing their analytical capabilities.
Jessica is passionate about making Python accessible to analysts from all backgrounds. Her teaching style focuses on practical application and real-world scenarios, ensuring that students can immediately apply what they learn. She has trained over 6,000 professionals in Python for data analysis and continues to contribute to open-source data analysis tools.
Student Reviews
Coming from an Excel background, I was nervous about coding. Jessica made Python approachable and fun! I'm now automating analyses that used to take me hours.
Excellent course! The pandas section alone was worth the price. I can now handle datasets with millions of rows without breaking a sweat. Highly recommended!