Data Analysis with Python
Master Python for data analysis using pandas, NumPy, and matplotlib. Learn to clean, analyze, and visualize data effectively for business insights.
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What You'll Learn
- Data manipulation with pandas
- Statistical analysis with NumPy
- Data visualization with matplotlib and seaborn
- Automated reporting with Jupyter notebooks
- Real-world data analysis projects
Prerequisites
- Basic computer literacy
Course Curriculum
Week 1: Introduction to Python for Data Analysis
4 topics- Python basics and environment setup
- Introduction to Jupyter notebooks
- Basic data types and operations
- Control flow and functions
Week 2: Data Manipulation with Pandas
4 topics- DataFrame basics
- Data importing and exporting
- Data cleaning and transformation
- Handling missing values
Week 3: Statistical Analysis with NumPy
4 topics- NumPy arrays and operations
- Statistical functions
- Random number generation
- Linear algebra operations
Week 4: Data Visualization Fundamentals
4 topics- Introduction to matplotlib
- Creating basic plots
- Customizing visualizations
- Statistical visualization with seaborn
Week 5: Advanced Data Analysis
4 topics- Grouping and aggregation
- Pivot tables
- Time series analysis
- Correlation and statistical measures
Week 6: Data Visualization Masterclass
4 topics- Advanced plot types
- Interactive visualizations
- Dashboards with Plotly
- Creating custom visualization styles
Week 7: Automated Reporting
4 topics- Dynamic reports with Jupyter
- Parameterized notebooks
- Automated data pipelines
- Scheduling and report distribution
Week 8: Capstone Project
4 topics- End-to-end data analysis project
- Problem definition
- Data collection and analysis
- Presentation of insights
Who This Course is For
- Business analysts
- Data science beginners
- Professionals transitioning to analytics
- Research assistants
- Students in quantitative fields
What Our Students Say
Sarah Johnson
Business Analyst at TechCorp
"This course transformed how I approach data analysis. The hands-on projects were particularly valuable, giving me practical skills I use daily in my job."
Michael Chen
Marketing Specialist
"As someone with no prior programming experience, I found this course approachable and incredibly useful. Dr. Rivera explains complex concepts in a way that's easy to understand."
Jessica Williams
Research Assistant
"The skills I learned in this course have significantly accelerated my research work. I can now process and visualize data much more efficiently."
Frequently Asked Questions
Do I need prior programming experience?
No prior programming experience is required, but basic computer literacy is necessary. The course starts from the fundamentals and gradually builds to more advanced concepts.
What software will I need?
You'll need a computer with internet access. All tools used in the course are free and open-source. We'll guide you through the installation of Python, Jupyter, and necessary libraries.
How much time should I dedicate each week?
We recommend setting aside 8-10 hours per week for watching lectures, completing exercises, and working on projects.
Will I receive a certificate upon completion?
Yes, upon successful completion of all course requirements including the capstone project, you'll receive a Willowcy Academy certificate of completion.
Is there any support available during the course?
Absolutely! You'll have access to a dedicated discussion forum where you can ask questions. Weekly office hours with the instructor are also available for more personalized support.
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