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Certified Data Science Practitioner Certification
Certified Data Science Practitioner Certification Training
Enhance your career with an Instructor-led, intermediate-level course on Certified Data Science Practitioner (CDSP). The course spans five days and covers eight units. This course ensures you can analyze, comprehend, manipulate, and present data within a structured and consistent framework.
Certified Data Science Practitioner Certification
Follow-up with case studies and interactive activities
Skill-based learning
Practical insights into data analysis, management, and interpretation
Certified Data Science Practitioner Course Overview
The Certified Data Science Practitioner course acknowledged within the industry, encompasses a range of disciplines within data science, such as analysis, modeling, interpretation, and visualization of data. Through this course, learners will delve into topics such as data analysis, statistical modeling, machine learning, and artificial intelligence.
The course equips learners with the knowledge and expertise needed to excel in data-driven roles across various industries, making it an invaluable asset for both aspiring and seasoned data science professionals. Through hands-on exercises, real-world case studies, and expert-led instruction, you will learn how to collect, clean, and analyze data effectively, derive actionable insights, and communicate findings to stakeholders.
The certification validates the candidates competency in gathering, manipulating, and analyzing datasets to address inquiries, utilizing statistical models and AI algorithms to extract and express insights effectively. Completing this course enables individuals to deliver tangible value by translating data science principles into actionable strategies and contributing valuable insights to their organizations.
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Certified Data Science Practitioner Course Learnings
This course helps the learners in attaining comprehension of the following objectives:
● Apply statistical methods and machine learning algorithms to analyze data sets
● Evaluate different models of regressions, forecasting, and clustering
● Implement the ETL (Extract, transform, and load) process to preprocess and cleanse datasets
● Analyze and transform the data from various sources
● Develop problem-solving skills by applying data science techniques
● Apply fundamental concepts of data science
● Utilize data visualization techniques to extract information
● Identify and integrate classification models
Data Science Practitioner Audience
This course is designed for business professionals who wish to 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. However, there is not necessarily a single organizational role that this course targets. A prospective student might be a programmer looking to expand their knowledge of how to guide business decisions by collecting, wrangling, analyzing, and manipulating data through code; or a data analyst with a background in applied math and statistics who wants to take their skills to the next level; or any number of other data-driven situations.
Ultimately, the target student is someone who wants to learn how to more effectively extract insights from their work and leverage that insight in addressing business issues, thereby bringing greater value to the business.
Eligibility Criteria
Prior to enrolling in this course, learners and professionals should possess the following prerequisites:
● Familiarity with tools for data manipulation and analysis
● Fundamental understanding of data science concepts
● Knowledge of machine learning concepts
● Experience working with SQL
● Proficiency in programming languages such as Python or R
● Basic knowledge of statistics
Course Outline
Module 1: Addressing Business Issues with Data Science
• Topic A: Initiate a Data Science Project
• Topic B: Formulate a Data Science Problem
Module 2: Extracting, Transforming, and Loading Data
a) Extract Data
b) Transform Data
c) Load Data
Module 3: Analyzing Data
a) Examine Data
b) Explore the Underlying Distribution of Data
c) Use Visualizations to Analyze Data
d) Preprocess Data
Module 4: Designing a Machine Learning Approach
a) Identify Machine Learning Concepts
b) Test a Hypothesis
Module 5: Developing Classification Models
a) Train and Tune Classification Models
b) Evaluate Classification Models
Module 6: Developing Regression Models
a) Train and Tune Regression Models
b) Evaluate Regression Models
Module 7: Developing Clustering Models
a) Train and Tune Clustering Models
b) Evaluate Clustering Models
Module 8: Finalizing a Data Science Project
a) Communicate Results to Stakeholders
b) Demonstrate Models in a Web App
c) Implement and Test Production Pipelines
About The Examination
The CDSP examination certifies learners' proficiency in effectively collecting, understanding, and exploring diverse datasets. It validates expertise in applying artificial intelligence and statistical models to analyze data and extract insights. This certification demonstrates the ability to communicate information and insights effectively. Below are the examination details:
Exam Code DSP-110
Exam Name Certified Data Science Practitioner (CDSP)
Exam Type Multiple choice/ Scenario-based
Exam Duration 120 minutes
Exam No. of Questions 100 (75 count towards final score)
Exam Passing Score 70%
Exam Options Pearson VUE test centers or online via Pearson OnVUE proctoring
Training Course Required Certified Data Science Practitioner course by CertNexus
Choose Your Preferred Mode
CDSP ONLINE TRAINING
- Engage in a comprehensive five days virtual training experience
- Continual learning support with access to Vinsys labs and updated curriculum
- Acquire access to premium-quality comprehensive training modules, course topics, and study tools.
- Certified subject matter experts with more than two decades of experience
CDSP CORPORATE TRAINING
- Hybrid learning with a combination of instructor-led training and the flexibility of e-learning
- Corporate entities are guaranteed an investment rate of return that is as high as feasible
- Support and assistance 24*7 to learn and resolve queries.
- Ensure maximum ROI for corporates with Vinsys skill development programs.
FAQ’s
What is the CDSP course about?
This course covers different processes and techniques used in data science and how to implement other data models. It confirms proficiency in applying artificial intelligence and statistical models to analyze data and extract insights.
What are the related certifications to the Certified Data Science Practitioner Course?
The following are the related courses:
• Certified Big Data Professional (CBDP)
• Certified Artificial Intelligence Practitioner (CAIP)
Does Vinsys offer any additional resources beyond the course?
In addition to the course material, you will receive practice examinations, feedback, and evaluation, along with reference materials and exam hints to aid your preparation.
What are the minimum passing marks for this exam?
To qualify for the certification, you must score at least 70% marks.
What is the total duration of the CDSP course?
The total duration of the Certified Data Science Practitioner course is five days.
Can a fresher join this course?
Before taking this course, you should have the fundamental knowledge of data science concepts with proficiency in programming (Python or R)
How is the exam for CDSP conducted?
The exam for this course is in a multiple-choice format and spans over 120 minutes. The exam code for this certification is DSP-110.
When can I start training on the course?
You can select the date of your choice and, upon completing the formalities, opt for your preferred form of learning to commence your path to success.
Why should I choose Vinsys for the CDSP course?
Our expert-led training, supported by years of industry experience, has consistently provided top-tier corporate training and courses.
How will the online classes be conducted?
You have the flexibility to log in at the scheduled time for a live training session, where you can actively engage, learn, discuss, and share resources with both your peers and the instructors.
Why Vinsys
Seasoned Instructors
Official Vendor Partnerships
Authorized Courseware
3,000+ Courses & 2,000+ Modules
In Synch with Tech-advancements
Customizable Blended Learning Options
Reviews
The instructors' dedication and proficiency in guiding the course have served as a motivating factor for our team. Having finished the course with Vinsys, our team has effectively implemented the practical knowledge gained, promptly addressing potential threats with actionable solutions.
Ritesh MehtaData Scientist
Thank you, Team Vinsys! With your expert teams and comprehensive resources, including practical knowledge, study materials, and hands-on experience, you've empowered both my team and me with the essential skills to navigate the complexities of the CFR course and achieve certification.
Vipul BagalData Science Consultant
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