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CDSP: Certified Data Science Practitioner

May 18 @ 9:00 am - May 22 @ 5:00 pm
$3795

Description

For a business to thrive in our data-driven world, it must treat data as one of its most important assets. Data is crucial for understanding where the business is and where it’s headed. Not only can data reveal insights, it can also inform—by guiding decisions and influencing day-to-day operations. This calls for a robust workforce of professionals who can analyze, understand, manipulate, and present data within an effective and repeatable process framework. In other words, the business world needs data science practitioners. This course will enable you to bring value to the business by putting data science concepts into practice. This course includes hands on activities for each topic area.

Objectives

In this course, you will implement data science techniques to address business issues.

    You will:

  • Use data science principles to address business issues.
  • Apply the extract, transform, and load (ETL) process to prepare datasets.
  • Use multiple techniques to analyze data and extract valuable insights.
  • Design a machine learning approach to address business issues.
  • Train, tune, and evaluate classification models.
  • Train, tune, and evaluate regression and forecasting models.
  • Train, tune, and evaluate clustering models.
  • Finalize a data science project by presenting models to an audience, putting models into production, and monitoring model performance.

Pre-Requisites

To ensure your success in this course, you should have at least a high-level understanding of fundamental data science concepts, including, but not limited to: types of data, data science roles, the overall data science lifecycle, and the benefits and challenges of data science. You can obtain this level of knowledge by taking the DSBIZ (Data Science for Business Professionals) course.

You should have also have experience with high-level programming languages like Python. It is recommended that you complete our Introduction to Python course. In addition to programming, you should also have experience working with databases, including querying languages like SQL. It is recommended that you complete our SQL Level 1 and Level 2 courses if you do not possess the experience currently.

Course Details

Brand: CertNexus
Exam: CDSP
CEU Credits: 3.5
Course Hours: 35
Number of Days: 5
Course PDF

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