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Data Science Python Course
Unlock the power of data with our Data Science Python Course, tailored for Business Intelligence professionals. Delve into time series analysis to identify patterns and trends, master data segmentation and grouping with Pandas, and enhance your skills in data cleansing and pre-processing. Explore revenue analysis, advanced data visualisation with Seaborn and Matplotlib, and learn to craft insightful reports. This concise, high-quality course equips you with practical skills to transform data into strategic business insights.
- Master time series analysis for trend forecasting in business data.
- Implement customer segmentation using advanced data grouping techniques.
- Cleanse and pre-process data by handling missing values and outliers.
- Visualise data effectively with Seaborn and Matplotlib for insights.
- Generate strategic business insights through comprehensive data reporting.

4 to 360 hours flexible workload
certificate recognised by MEC
What will I learn?
Unlock the power of data with our Data Science Python Course, tailored for Business Intelligence professionals. Delve into time series analysis to identify patterns and trends, master data segmentation and grouping with Pandas, and enhance your skills in data cleansing and pre-processing. Explore revenue analysis, advanced data visualisation with Seaborn and Matplotlib, and learn to craft insightful reports. This concise, high-quality course equips you with practical skills to transform data into strategic business insights.
Elevify advantages
Develop skills
- Master time series analysis for trend forecasting in business data.
- Implement customer segmentation using advanced data grouping techniques.
- Cleanse and pre-process data by handling missing values and outliers.
- Visualise data effectively with Seaborn and Matplotlib for insights.
- Generate strategic business insights through comprehensive data reporting.
Suggested summary
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.What our students say
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