Certificate in Data Analytics

Data Analysts enable businesses to maximize the value of their data assets by using Python and Machine learning. The certificate in Data Analytics teaches students to develop new analytical methods and tools by integrating the computational, statistical, and engineering techniques that form the heart of big data analytics.

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Program Highlights

  • Course Module : Certificate Programs
  • Duration : 4 Months
  • Format :Hybrid (Online/ In- person)
  • Center : All centers

Introduction

Data Analysts enable businesses to maximize the value of their data assets by using Python and Machine learning. The certificate in Data Analytics teaches students to develop new analytical methods and tools by integrating the computational, statistical, and engineering techniques that form the heart of big data analytics.

Students will learn the fundamental skills required to work in today's data-driven world. Students will gain the knowledge needed to complete a capstone project or an internship in the field of Data Analytics by using statistical, data, and visualization tools.

Program Summary

  • Analyze data statistically to provide a foundation for decision making.
  • Utilize data analysis tools for the analysis of data sets.
  • Create computer programs with python for accessing and manipulating data sets.
  • Create data visualizations to communicate the results of statistical analysis.
  • Using data analysis techniques, analyze real-world problems.
  • Demonstrate your ability to manage a project from design to completion.

If you are new to IT and wish to create professional documents for printing and for business administration this is the course for you.

Career Opportunities

  • Data analysts
  • Business Intelligence professionals
  • Professionals who use Power BI
  • Professionals who manage data for decision-making
  • IT Managers
  • Data Scientists

Course Content

  • Analytics with Excel
  • Statistics
  • Python Programming pandas - NumPy
  • Machine Learning

Eligibility Requirements

  • Participants should also have knowledge of data warehouse schema topology, programming concepts such as looping and branching, understanding of key business priorities, and familiarity with Microsoft Office apps (especially Microsoft Excel)