Certified Data Science Professional

Certified Data Science Practitioner (CDSP) Training Program
General Objective:

Equip participants with the knowledge and skills necessary to pass the Certified Data Science Practitioner (CDSP) exam from CertNexus, while enhancing their understanding of data science concepts, including data analysis, statistical modeling, machine learning, and artificial intelligence applications.

Training Modules:
1. Introduction to Data Science

Understanding Data Science and its business impact
Data Science lifecycle and workflow
Tools and technologies used in Data Science
2. Data Collection and Exploration

Data sources and types
Data extraction and preprocessing techniques
Cleaning, transforming, and preparing data for analysis
3. Statistical Analysis and Data Visualization

Fundamental statistical concepts
Exploratory Data Analysis (EDA) techniques
Tools and methods for effective data visualization
4. Modeling and Machine Learning

Types of statistical and predictive models
Basics of machine learning (supervised and unsupervised)
Classification, regression, and clustering algorithms
5. Implementing Data Science Models

Model optimization and validation techniques
Tools and platforms for machine learning model deployment
Evaluating model performance and analyzing results
6. AI Applications and Big Data Analytics

Role of artificial intelligence in data science
Big data processing with Hadoop and Spark
Ethical considerations and legal aspects of data science
7. Hands-on Project and CDSP Exam Preparation

Developing a full Data Science project
Reviewing key exam topics and sample questions
Test-taking strategies for passing the CDSP certification
Target Audience:
Data analysts and beginners in data science
Aspiring data scientists and data engineers
IT professionals looking to transition into data science
Business managers and professionals handling big data
Anyone preparing for the **Certified Data Science