Certified Data Science Practitioner (CDSP) Certification

Validate your knowledge and skills in the area of Data Science through the CDSP Certification

  • Analyze data and find suitable ways to visualize it in a meaningful manner
  • Apply a machine learning approach to find solutions to a business issue
  • Prepare to clear the Certified Data Science Practitioner exam (DSP-110)
  • 350,000 Professionals trained
  • 250 + Workshops every month
  • 100 + Countries and Counting 

Meet Goals by Making Informed Decisions

Data Science is crucial to decision-making for businesses. 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.

..... Read more
Read less

Highlights

  • 40 Hours of Live, Instructor-Led Sessions 

  • Coaching by Experienced Data Science Experts 

  • Balanced Mix of Classroom and Practical Sessions 

  • Hands-on Learning with Group Exercises 

  • Downloadable Comprehensive Courseware 

  • Master Concepts Through Case Studies and Activities 

Accredited by

The KnowledgeHut Edge

Learn from Industry Experts

Interact with experienced instructors who are also industry experts. Listen, learn, explore, and apply.

Updated Curriculum

Acquire the skills and understand all concepts easily with the latest data science practices.

Hands-On Training

Learn with the help of theory-backed practical case studies, hands-on exercises, and practice.

Continual Learning Support

Monthly webinars, e-books, tutorials, interview questions, and more to strengthen your learning. 

Learn Advanced Concepts

Learn concepts from scratch and develop your understanding of advanced concepts in data science.

Career Support

Get career guidance to embark on a promising career as a professional with all the necessary skills.

Prerequisites

Prerequisites

To attend the CDSP training you need to 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   

Who Should Attend This Training

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

CDSP Certification Schedules

Can't find the batch you're looking for?

Request a Batch

What You Will Learn

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 density of data points  

Transform Your Workforce

Address Business Issues with Data Science Techniques

Train your team in the use of advanced data science techniques to find solutions for important business issues. Use AI driven data models to reveal patterns and produce insights that promote data driven decision making.

  • Experiential Learning
  • Readily Applicable Skills
  • Innovative Training Solutions
  • Training Led by Industry Experts 

500+ Clients

Curriculum

Topics:

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

Topics:

  • Extract Data 
  • Transform Data 
  • Load Data 

Topics:

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

Topics:

  • Identify Machine Learning Concepts
  • Test a Hypothesis 

Topics:

  • Train and Tune Classification Models
  • Evaluate Classification Models 

Topics: 

Train and Tune Regression Models

Evaluate Regression Models 

Topics:

  • Train and Tune Clustering Models
  • Evaluate Clustering Models 

Topics:

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

FAQs

CDSP 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 

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. 

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 

Workshop Experience

Currently, all our courses are offered online as live, interactive, trainer-led sessions where you can learn directly from the trainer with opportunities to discuss and clear doubts.  

Our instructors are trainers with experience working with data science skills. They also have hands-on experience and will be able to tell you the practical aspects of what you are learning.   

Our courses are delivered through live, interactive virtual classrooms and can be structured according to the requirements of the course.

Our training focuses on interactive learning. Most class time is dedicated to hands-on exercises, lively discussions, and team collaboration, all facilitated by the trainer who is experienced in data science concepts and practices. The focus is on finding practical solutions to real-world scenarios in various environments, both big and small. 

In an online classroom, students can log in at the scheduled time to a live learning environment that an instructor leads. You can interact, communicate, view, and discuss presentations and engage with learning resources while working in groups in an online setting. Our instructors use an extensive set of collaboration tools and techniques which improve your online training experience.  

Yes, you can switch your start date with prior notice of at least 24 hours, subject to availability in the desired batch.