CertNexus Certified Data Science Practitioner™ (CDSP)

On this accelerated CertNexus Certified Data Science Practitioner (CDSP) course, you’ll learn to analyse, manipulate, and present data within an effective and repeatable process framework.

In just 2 days, you’ll build knowledge on using data science principles to address business issues, as well as prepare datasets and train machine learning models. You’ll also learn how to:

• Use multiple techniques to analyse data and extract valuable insights
• Train, tune, and evaluate regression and forecasting models
• Finalise a data science project by presenting models

At the end of this course, you’ll sit the CertNexus Certified Data Science Practitioner exam, and achieve your CDSP certification. As an Official CertNexus Partner, and through Firebrand’s Lecture | Lab | Review methodology, you’ll get access to official courseware, learn from certified instructors, and train in a distraction-free environment.

Audience

This course is ideal for professionals across different industries seeking to demonstrate the ability to gain insights and build predictive models from data, as well as:

• Data Scientist
• Data Analyst
• Data Engineer
• Data Architect
• Database Administrator
• Business Analyst
• Data and Analytics Manager
• Business Intelligence Analyst
• Marketing Analyst
• BI developer
• Product Owner
• Machine Learning Engineer
• Software Engineer
• Analytics Consultant

Section 1: Addressing Business Issues with Data Science

• Module 1: Initiate a Data Science Project
• Module 2: Formulate a Data Science Problem

Section 2: Extracting, Transforming, and Loading Data

• Module 1: Extract Data
• Module 2: Transform Data
• Module 3: Load Data

Section 3: Analysing Data

• Module 1: Examine Data
• Module 2: Explore the Underlying Distribution of Data
• Module 3: Use Visualisations to Analyse Data
• Module 4: Preprocess Data

Section 4: Preparing to Train a Machine Learning Model

• Module 1: Identify Machine Learning Concepts
• Module 2: Test a Hypothesis

Section 5: Developing Classification Models

• Module 1: Train and Tune Classification Models
• Module 2: Evaluate Classification Models

Section 6: Developing Regression and Forecasting Models

• Module 1: Train and Tune Regression and Forecasting Models
• Module 2: Evaluate Regression and Forecasting Models

Section 7: Developing Clustering Models

• Module 1: Train and Tune Clustering Models
• Module 2: Evaluate Clustering Models

Section 8: Finalising a Data Science Project

• Module 1: Communicate Results to Stakeholders
• Module 2: Demonstrate a Model in a Web App
• Module 3: Implement and Test Production Pipelines

Before attending this accelerated course, you should have experience with databases, querying languages like SQL, and high-level programming languages like Python. You should also have knowledge in:

• Database Design: A Modern Approach
• SQL Querying: Fundamentals (Second Edition)
• SQL Querying: Advanced (Second Edition)
• Introduction to Programming with Python
• Advanced Programming Techniques with Python
• Using Data Science Tools in Python

As part of this accelerated course, you’ll sit the following exam at the Firebrand Training centre, covered Certification Guarantee:

CertNexus Certified Data Science Practitioner (CDSP) exam

• Duration: 2 hours
• Format: Multiple-choice/Multiple-response
• Languages: English