Data Analytics

Learn how to write code in Python, implement related Python libraries, utilize artificial intelligence (AI) and machine learning, harness Excel for analysis, and visualize the results.

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Description

The Data Analytics Certificate at Digital Workshop Center is a comprehensive approach towards learning problem-solving techniques for analyzing large data sets. Our program teaches you how to write code in Python, implement related Python libraries, utilize artificial intelligence (AI) and machine learning, harness Excel for analysis, and visualize the results.

To become a Data Analyst, you will need a mix of software engineering, statistics, and the ability to apply both to complex situations. Alongside your instructor as your mentor, you will gain a wide array of career skills for this fast growing, high demand field that will apply for years to come.

The Data Analytics Certificate program at Digital Workshop Center takes a modern approach to teaching data analysis - one that is frequently validated by hiring managers and will leave students fully prepared to pursue a variety of data driven career paths.

FAQ

Still have questions?  Visit our FAQ page for more help.

Includes

  • 198 hours of classroom training | Additional assignments outside of class
  • Download materials with practice data files
  • One month of technical support
  • Certificate of Completion

Objectives

Upon successful completion of this program, students will:

  • Learn SQL and relational database concepts
  • Organize and clean up data
  • Program with Python
  • Expand the Python language with pandas to solve complex data problems
  • Examine essential statistics functions and related SPSS terminology
  • Master the functions within Microsoft Excel as an analysis and reporting tool
  • Dive into AI and machine learning for data analysis
  • Expand your knowledge with sklearn and machine learning algorithms
  • Review the importance of your portfolio and job seeking skills for this industry
  • Present your final project for critique

Prerequisites

Basic Digital Literacy is required.