Data analytics for Sales

Course summary

Today all businesses thrive on turning data into information, and information into insight. When it comes to sales, this is of even larger importance. A business can grow multifold when the sales data are effectively used, interpreted and analyzed. This course on 'Data Analytics for Sales' provides an understanding of data analytics and its application in sales.

Learning outcome

By the end of the course, learner will be able to:

  • Make qualitative decisions using different types of data analysis techniques.
  • Eliminate pitfalls associated with the data management process.
  • Practice few popular data analysis tools and techniques such as predictive analysis analytics, augmented data management and conversational analytics.

Modules

This course will provide insights about the fundamentals of data analytics such as importance of data, role of data analytics, data analysis processes such as forecasting analysis, data visualization and data mining. The module also deals with machine learning algorithms, and the application, advantages and pitfalls in data analytics.

This course deals with sales data analysis and its importance in redefining business strategies based on data. The module covers sales planning and forecasting techniques that can help in taking the right sales decisions for future. The module explains the benefits of sales analysis and data driven decision making in the growth of business.