Live CertNexus CDSP Training Course
CertNexus CDSP - Certified Data Science Practitioner
| Course Number: |
#CED-1855 |
| Course Length: |
5 days |
| Number of Exams: |
1 |
| Certifications: |
CertNexus CDSP |
Grants (discounts) are available for multiple students for the same or different courses. |
Watch a Live Class in Progress and save $250 on your next course.
See what makes CED Solutions the best choice for your IT Training.
- Ask Questions
- Talk with the Instructor
- Join Class discussions
This is a live class in progress - please mute your microphone and be respectful of the students attending.
Instructor-Led
Certified Instructor
Includes all course materials
Instant Quote
Can't travel or you want to stay with your family or business. No problem!
Stay in your own city and save the additional expenses of roundtrip airfare, lodging, transportation, and meals and receive the same great instruction live from our instructors in our Live Instructor-Led Remote Classroom Training.
Remote Classroom Training
Our Remote Classroom Training is a live class with students observing the instructor and listening through your computer speakers.
You will see the instructor's computer, slides, notes, etc., just like in the classroom. You will be following along, doing work, labs, and individual assignments.
CED Solutions Rewards Points Program
"I have and will continue recommending people for CED Solutions' training. It was and is a pleasure to interact with the instructor. He is very professional and knowledgeable. I would recommend his instruction to anyone interested in IT certifications." -Lindsay Little, Valdosta, GA
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.
Class Outline
1 - Addressing Business Issues with Data Science
- Topic A: Initiate a Data Science Project
- Topic B: Formulate a Data Science Problem
2 - Extracting, Transforming, and Loading Data
- Topic A: Extract Data
- Topic B: Transform Data
- Topic C: Load Data
3 - Analyzing Data
- Topic A: Examine Data
- Topic B: Explore the Underlying Distribution of Data
- Topic C: Use Visualizations to Analyze Data
- Topic D: Preprocess Data
4 - Designing a Machine Learning Approach
- Topic A: Identify Machine Learning Concepts
- Topic B: Test a Hypothesis
5 - Developing Classification Models
- Topic A: Train and Tune Classification Models
- Topic B: Evaluate Classification Models
6 - Developing Regression Models
- Topic A: Train and Tune Regression Models
- Topic B: Evaluate Regression Models
7 - Developing Clustering Models
- Topic A: Train and Tune Clustering Models
- Topic B: Evaluate Clustering Models
8 - Finalizing a Data Science Project
- Topic A: Communicate Results to Stakeholders
- Topic B: Demonstrate Models in a Web App
- Topic C: Implement and Test Production Pipelines
CED Solutions is your best choice for CertNexus CDSP,
CertNexus CDSP training,
CertNexus CDSP certification,
CertNexus CDSP boot camp,
CertNexus CDSP certification training,
CertNexus CDSP certification course,
CertNexus CDSP course,
CertNexus CDSP class.
|
Follow CED