Certified Data Science Practitioner (CDSP)
Guaranteed to Run
Price
$3,495.00
Duration
5 Days
Delivery Methods
Virtual Instructor Led Private Group
Delivery
Virtual
ESTDescription
Objectives
Prerequisites
Content
Course 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.
Course Objectives
- 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.
Who Should Attend?
This course is designed for business professionals who leverage data to address business issues. The typical student in this course will have several years of experience with computing technology, including some aptitude in computer programming.
Course Prerequisites
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 CertNexus DSBIZ™ (Exam DSZ-110) course.
Course Content
Module 1: Addressing Business Issues with Data Science
- Extract Data
- Topic B: Transform Data
- Topic C: Load Data
Module 2: Extracting, Transforming, and Loading Data
- Extract Data
- Transform Data
- Load Data
Module 3: Analyzing Data
- Examine Data
- Explore the Underlying Distribution of Data
- Use Visualizations to Analyze Data
- Preprocess Data
Module 4: Designing a Machine Learning Approach
- Identify Machine Learning Concepts
- Test a Hypothesis
Module 5: Developing Classification Models
- Train and Tune Classification Models
- Evaluate Classification Models
Module 6: Developing Regression Models
- Train and Tune Regression Models
- Evaluate Regression Models
Module 7: Developing Clustering Models
- Train and Tune Clustering Models
- Evaluate Clustering Models
Module 8: Finalizing a Data Science Project
- Communicate Results to Stakeholders
- Demonstrate Models in a Web App
- Implement and Test Production Pipelines
Do You Need Help? Please Fill Out The Form Below