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Human Resources Courses

Data Science from a People Analytics perspective

Human Resources

Data Science course from a People Analytics perspective

Taught by: Dante Tellez - Head Data & Analytics - Philip Morris, Mexico

  • Intermediate
  • 2176 students
  • 4.7
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Online course description

Did you know that in the future the new professionals within People Analytics will be just data scientists? It is essential to know these Data Science methodologies within Human Resources in order to know employees better and, thus, increase the degree of productivity and satisfaction as well as improve the way talent is recruited, retained and developed based on intelligence and data. In this course, you will understand what data science is and its application to People Analytics, as well as all the issues to consider when developing this type of projects such as People (culture), Technologies and processes.

What will I learn?

At the end of the course, the student will be able to understand what data science is and its application to People Analytics, as well as all the issues to consider when developing this type of projects such as People (culture), Technologies and processes.

Who is it aimed at?

HR and Commercial areas

Requirements

None.

Content of the Data Science course from a People Analytics perspective

  • Module 1DataScience Fundamentals

    3 Capsules 00:16:57

    • Capsule 1: Presentation
      Free View
    • Capsule 2: What is Data Science and what is it for?
      Premium Access
    • Capsule 3: Decision Biases and their Impact on Human Resources
      Premium Access

  • Module 2Descriptive, Predictive and Prescriptive Analytics

    3 Capsules 00:24:47

    • Capsule 1: Descriptive Analysis
      Premium Access
    • Capsule 2: Predictive Analytics
      Premium Access
    • Capsule 3: Prescriptive Analysis
      Premium Access

  • Module 3BigData and its impact on People Analytics

    3 Capsules 00:21:20

    • Capsule 1: Big Data Fundamentals
      Premium Access
    • Capsule 2: Cloud & Datalakes
      Premium Access
    • Capsule 3: Big data in People Analytics
      Premium Access

  • Module 4Technologyinvolved in People Analytics

    3 Capsules 00:23:58

    • Capsule 1: Data generation and collection in People Analytics
      Premium Access
    • Capsule 2: Data Management & Data Quality in Organizations
      Premium Access
    • Capsule 3: Information Security and Cyber Risks
      Premium Access

Final examTo obtain your course pass certificate, you will have 2 attempts per day to pass a multiple-choice exam with more than 70%.

About our expert

Dante Tellez lecturer of the course Data Science from a People Analytics perspective

Dante Tellez

Head Data & Analytics - Philip Morris, Mexico

Dante Tellez has almost 20 years of experience in different industries in companies such as HP, Yahoo!, Chubb and currently serving as Chief Data & Analytics at Philip Morris in managing multicultural data teams among some areas of expertise such as: effective deployment of data strategies involving culture and data literacy, deep understanding of business operating models to effectively integrate advanced analytics across the enterprise. Currently, he works in parallel as an online teacher for Business Analytics at Cambridge University and Python teacher for Columbia Business School focused on LATAM markets. He also teaches the Data Science in People Analytics diploma course at ITESM.

Get certified and boost your career

On behalf of Saint Ignatius University
Optional certificate template for our course*San Ignacio University will certify all NETZUN students.

About the institutions

Netzun - online courses
Edtech company, founded in 2015 and specialized in virtual education based on the 'microlearning' methodology. Its purpose is to democratize the knowledge of extraordinary people throughout Latin America.
San Ignacio University certifies our courses
San Ignacio University is a U.S. university that stands out for offering a unique and cutting-edge academic experience. It has a highly qualified faculty committed to academic excellence and the integral development of its students.

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