Using Data Analytics in Supply Chain Certificate Course

Enroll in the Using Data Analytics in Supply Chain Program to learn about techniques of data analysis

Unilever

Course Overview

The course based on data analytics helps in exploring the importance of data governance and helps in learning the concepts of the data surrounding it. Students will also learn about the tools and processes that are put forward in supply chain analytics. They will be able to gather, analyze, synthesize, validate, and interpret the insights based on data-driven techniques.

By the end of the course, students will be able to explore the importance of data governance and stick to the policies as well. Furthermore, they will be able to define the objectives, formula questions, and data sources and implement effective data-gathering techniques. With the help of the course, the students will be able to conduct data analysis by calculation, summarizations, averages, and classification. They will be able to easily identify the usage of SQL and Python to manage, clean, and visualize data. All of this will help in making the decision effectively.

What you'll learn

  • Risk management
  • Data analysis
  • Problem-solving
  • Presentation layer
  • Data visualization

Requirements

  • Basic knowledge of data governance
  • A computer or laptop with internet connectivity.
  • Learn about techniques of data analytics in 34 hours.
  • Flexible work schedule.

AccessTo Career Resources with Using Data Analytics in Supply Chain course

Enroll Free
Course

Enhanced Employability:

An outstanding Using Data Analytics in Supply Chain program that increases your chances of landing the best jobs.

Course

Competitive Advantage:

An opportunity to stand out from the competition and make a more significant impression on potential employers.

Course

Skill Validation:

Robust validation of data analytics skills confirms that you can complete all related tasks.

Course

Networking Opportunities:

Managing Data Analytics in Supply Chain courses provides ample networking opportunities for participants. Learners can connect with classmates and industry professionals through cooperative exercises, group discussions, and interactive seminars.

Course

3.9 Course (17 reviews)

Beginner level

Beginner

Duration

1-3 Months

Earn certificate credit

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