Python Data Analytics Course
What will I learn?
Become proficient in data analytics through our Python Data Analytics Course, designed for Business Intelligence experts. Study time series analysis using ARIMA models and exponential smoothing, improve your data cleaning skills, and enhance your reporting through effective documentation methods. Investigate sales trend analysis, customer segmentation, and exploratory data analysis using Matplotlib. Develop expertise in Python for data manipulation using Pandas and NumPy, ensuring you are competitive in the BI field.
Apoia's Unique Features
Develop skills
Enhance your practical skills as listed below
Become an Expert in Time Series: Analyze trends using ARIMA and Exponential Smoothing techniques.
Clean Data Effectively: Change data types, manage outliers, and handle missing data appropriately.
Develop Impactful Reports: Communicate insights with clear and concise documentation.
Investigate Sales Trends: Forecast patterns and understand seasonal changes.
Segment Customers: Use clustering methods to identify different groups of customers.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can adjust the chapters and workload.
- Choose your starting chapter
- Add or remove chapters
- Alter the total course workload
Examples of chapters you can include
You'll be able to generate additional chapters similar to the examples below
This is a free course focused on personal and professional development. It is not equivalent to a technical, undergraduate, or postgraduate course, but provides practical and relevant knowledge for your career.