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Certified Data Science Practitioner (CDSP) Certification

Certified Data Science Practitioner

Master data science skills and unlock endless career opportunities

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Prerequisites for CDSP Certification Course

Prerequisites and Eligibility
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Highlights of CDSP Certification Course

Course Highlights

40 Hours of Live Interactive Sessions by Experts

Coaching by Experienced Data Science Experts

Balanced Mix of Theory and Practical Sessions

Hands-On Learning through Group Exercises

Access to Comprehensive Downloadable Courseware

Applied Learning with Real-world Case Studies and Activities

Data science is crucial to business decision-making. Leverage the Certified Data Science Practitioner (CDSP) Certification to validate your skills and knowledge of the latest data science techniques. In this 5–day course you will learn to use advanced machine learning techniques to build data models, identify patterns, and produce insights.

You will understand how to make sense of data through application of various statistical models with the advantage of machine learning concepts. Data Science as a career is growing at 28% according to LinkedIn. Harvard Business Review has identified Data Science as the sexiest job in the 21st century highlighting the importance of this discipline. The CDSP Certification is provided by CertNexus to candidates who can pass the CDSP exam (DSP-110). With this CDSP training, you are sure to clear your DSP-110 exam on your first attempt. KnowledgeHut is an Authorized Training Partner of CertNexus.

Why KnowledgeHut for CDSP Certification

Get The KnowledgeHut Advantage

Learn from Industry Experts 

Interact and engage with certified instructors with a wealth of industry experience and subject mastery.

Advanced Curriculum 

Learn from the latest, most up-to-date curriculum, designed with industry needs in focus

Hands-On Training 

Learn with the help of practical individual and group exercises, quizzes, and activities

Brilliant Track Record   

KnowledgeHut has empowered 450,000+ professionals with skills and certifications.

Strengthen Foundations 

Learn concepts from scratch by learning through step-by-step guidance and detailed feedback

Continual Learning Support

Choose from monthly webinars, e-books, tutorials and more to strengthen your learning

CDSP Certification Fee

Tuition Fee and Training Schedule
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Live Online Classroom

Learn In Expert-Led Live Sessions
Solid Experiential Learning
40 Hours of Live Online Training
Industry-Approved Courseware
Hands-on Learning with Group Exercises
Case Studies and Activities
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CDSP Certification Curriculum

Curriculum

1. Addressing Business Issues with Data Science

Topics:

  • Initiate a Data Science Project
  • Formulate a Data Science Problem

2. Extracting, Transforming, and Loading Data

Topics:

  • Extract Data
  • Transform Data
  • Load Data

3. Analyzing Data

Topics:

  • Examine Data
  • Explore the Underlying Distribution of Data
  • Use Visualizations to Analyze Data
  • Preprocess Data

4. Designing a Machine Learning Approach

Topics:

  • Identify Machine Learning Concepts
  • Test a Hypothesis

5. Developing Classification Models

Topics:

  • Train and Tune Classification Models
  • Evaluate Classification Models

6. Developing Regression Models

Topics:

  • Train and Tune Regression Models
  • Evaluate Regression Models

7. Developing Clustering Models

Topics:

  • Train and Tune Clustering Models
  • Evaluate Clustering Models

8. Finalizing a Data Science Project

Topics:

  • Communicate Results to Stakeholders
  • Demonstrate Models in a Web App
  • Implement and Test Production Pipelines

What You'll Learn in CDSP Certification Course

Learning Objectives
Data Science Principles

Learn about data science principles and how to leverage them to address business issues.

ETL Processes

Understand how to use the extract, transform, and load processes while preparing datasets.

Data Analysis

Identify different techniques to analyze data and how to produce actionable insights from it.

Classification Models

Use Classification models to make sense of data by categorizing them into meaningful buckets.

Regression Models

Leverage regression models to identify relationships between different sets of variables.

Clustering Models

Use clustering models to find hidden patterns and identify segments based on the density of data points.

Who Can Attend the CDSP Certification

Who This Course Is For?
  • Data Scientists
  • Data Analysts
  • Data Engineers
  • Data Architects
  • Database Administrators
  • Business Analysts
  • Data and Analytics Managers
  • Business Intelligence Analysts
  • Marketing Analysts
  • BI Developers
  • Product Owners
  • Machine Learning Engineers
  • Software Engineers
  • Analytics Consultants
Who Should Attend

CDSP Certification FAQs

Frequently Asked Questions
CDSP Training

1. What can I expect to accomplish after completing the CDSP Certification Training?

On completion of the CDSP Online Training, you will be able to use data science techniques to enable better business outcomes by developing an understanding of the following topics:

  • Data Science Principles
  • ETL Processes
  • Data Analysis
  • Data Modelling
  • Implementing Data Models

2. How does the CDSP certification course help me? 

Data Science is growing in importance as a critical discipline that can have a major impact on business. There is an increasing demand for professionals who are skilled in understanding and navigating each stage of the process starting from analyzing, understanding, manipulating, and presenting data consistently. The CDSP online course is a program that covers the techniques and processes in data science and implementing different types of data models.

3. What are the prerequisites for the CDSP training course?

Candidates wanting to attend the CDSP online course should have:

  • An understanding of fundamental data science concepts
  • Experience with high level programming languages like Python
  • Experience working with databases including querying languages like SQL

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