Python Data Analytics Course
What will I learn?
Master the art of data analytics with our Python Data Analytics Course, tailored for Business Intelligence professionals. Dive into time series analysis with ARIMA models and exponential smoothing, refine your data cleaning skills, and enhance your reporting with effective documentation techniques. Explore sales trend analysis, customer segmentation, and exploratory data analysis using Matplotlib. Gain proficiency in Python for data manipulation with Pandas and NumPy, ensuring you stay ahead in the competitive BI landscape.
Apoia's Differentials
Develop skills
Strengthen the development of the practical skills listed below
Master Time Series: Analyze trends with ARIMA and Exponential Smoothing.
Clean Data Efficiently: Convert types, handle outliers, and fill missing data.
Create Impactful Reports: Communicate insights with clear documentation.
Analyze Sales Trends: Predict patterns and understand seasonality.
Segment Customers: Use clustering to identify distinct customer groups.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can change the chapters and the workload.
- Choose which chapter to start with
- Add or remove chapters
- Increase or decrease the course workload
Examples of chapters you can add
You will be able to generate more chapters like 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 offers practical and relevant knowledge for your professional journey.