DSP-110.AK1
Data Science Foundation
Dive into the world of Data, its implications, limitations, and business impact. Transform your career!
- Practice in 37 Laboratorios prácticos — nothing to install
- 9 Lecciones interactivas y 30 topics mapped to the official exam objectives
- 230 Preguntas del examen de práctica y 2 Pruebas completas
Beginner A tu propio ritmo · 1 año de acceso
37 LiveLabs prácticos
Practice real IT tasks in guided environments.
- Entornos reales
- Calificación automática
- Sin instalación
01 / Habilidades que obtendrás
What you will be able to do
Data is transforming the job market and creating new opportunities. Tap into this realm of opportunities with our Data Science Foundation course that guides you to become a certified Data Science Practitioner.
Enroll for our hands-on training course with in-depth explanations, practice questions, and exam-taking tips, and get ready to pass the CDSP DSP-110 exam. The course content is closely aligned with the exam objectives covering the entire data science lifecycle. All essential topics like Data extraction and manipulation, visualization, ML model, and model deployment are covered in detail.
- Expert with data extraction, loading, cleaning, and processing
- Ability to manipulate data for visualization, with statistical techniques and feature engineering
- Ability to work with Machine Learning (ML) models - selection, training, evaluation, and tuning
- Understanding of classification techniques like Logistic Regression, Decision Trees, and more
- Knowledge of regression techniques like Linear Regression, Polynomial Regression, and more
- Familiarity with clustering techniques like K-Means, Hierarchical Clustering, and more
- Ability to break down problems into smaller manageable parts
- Ability to work with data science tools and libraries
Course Highlights
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9 Lecciones estructuradas Cobertura completa de los objetivos principales del curso
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37 LiveLabs prácticos Escenarios interactivos guiados con evaluación instantánea
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230 Preguntas de práctica Pruebas de evaluación con justificaciones de respuesta detalladas
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1 año de acceso completo Aprendizaje a tu propio ritmo, accesible en cualquier momento y en todos los dispositivos
02 / Lecciones y laboratorios
See exactly what you will learn and practice
Plan de estudios
9 Lecciones interactivas · 30 topics01 About This Course 2 topics +
- Course Description
- Course Objectives
02 Addressing Business Issues with Data Science 3 topics +
- Topic A: Initiate a Data Science Project
- Topic B: Formulate a Data Science Problem
- Summary
03 Extracting, Transforming, and Loading Data 4 topics · 10 Laboratorio en vivo +
- Topic A: Extract Data
- Topic B: Transform Data
- Topic C: Load Data
- Summary
10 Laboratorio en vivo in this lesson — see the labs panel →
04 Analyzing Data 5 topics · 13 Laboratorio en vivo +
- Topic A: Examine Data
- Topic B: Explore the Underlying Distribution of Data
- Topic C: Use Visualizations to Analyze Data
- Topic D: Preprocess Data
- Summary
13 Laboratorio en vivo in this lesson — see the labs panel →
05 Designing a Machine Learning Approach 3 topics +
- Topic A: Identify Machine Learning Concepts
- Topic B: Test a Hypothesis
- Summary
06 Developing Classification Models 3 topics · 5 Laboratorio en vivo +
- Topic A: Train and Tune Classification Models
- Topic B: Evaluate Classification Models
- Summary
5 Laboratorio en vivo in this lesson — see the labs panel →
07 Developing Regression Models 3 topics · 4 Laboratorio en vivo +
- Topic A: Train and Tune Regression Models
- Topic B: Evaluate Regression Models
- Summary
4 Laboratorio en vivo in this lesson — see the labs panel →
08 Developing Clustering Models 3 topics · 4 Laboratorio en vivo +
- Topic A: Train and Tune Clustering Models
- Topic B: Evaluate Clustering Models
- Summary
4 Laboratorio en vivo in this lesson — see the labs panel →
09 Finalizing a Data Science Project 4 topics · 1 Laboratorio en vivo +
- Topic A: Communicate Results to Stakeholders
- Topic B: Demonstrate Models in a Web App
- Topic C: Implement and Test Production Pipelines
- Summary
1 Laboratorio en vivo in this lesson — see the labs panel →
Laboratorios prácticos Our edge
37 Laboratorio en vivos- Reading Data from a CSV File
- Extracting Data with Database Queries
- Consolidating Data from Multiple Sources
- Handling Irregular and Unusable Data
- Correcting Data Formats
- De-duplicating Data
- Handling Textual Data
- Loading Data into a Database
- Loading Data into a DataFrame
- Exporting Data to a CSV File
- Examining Data
- Exploring the Underlying Distribution of Data
- Analyzing Data Using Histograms
- Analyzing Data Using Box Plots and Violin Plots
- Analyzing Data Using Scatter Plots and Line Plots
- Analyzing Data Using Bar Charts
- Analyzing Data Using HeatMaps
- Handling Missing Values
- Applying Transformation Functions to a Dataset
- Encoding Data
- Discretizing Variable
- Splitting and Removing Features
- Performing Dimensionality Reduction
- Training a Logistic Regression Model
- Training a k-NN Model
- Training an SVM Classification Model
- Training a Naïve Bayes Model
- Training Classification Decision Trees and Ensemble Models
- Training a Linear Regression Model
- Training Regression Trees and Ensemble Models
- Tuning Regression Models
- Evaluating Regression Models
- Training a k-Means Clustering Model
- Training a Hierarchical Clustering Model
- Tuning Clustering Models
- Evaluating Clustering Models
- Building an ML Pipeline
03 / Detalles del examen
Data Science Foundation Detalles
Desbloquea el poder de los datos y allana tu camino hacia el éxito con el curso Data Science Foundation. Prepárate para el examen mientras participas en lecciones interactivas, cuestionarios, preparaciones para exámenes y laboratorios prácticos que te equiparán con las habilidades para analizar, manipular y presentar datos de manera efectiva. Conviértete en un profesional de la ciencia de datos muy solicitado y aporta información valiosa a los procesos de toma de decisiones de tu organización.
¿Listo para presentar el examen?
Agrega tu DSP-110.AK1 bono de examen oficial a tu pedido.
Bono oficial · Entrega rápida · Paquete de repetición disponible04 / Preguntas frecuentes
Preguntas antes de empezar
What is the CDSP certification?+
Who should do this Data Science course?+
What are the prerequisites?+
What is the format of the CDSP exam?+
What is the duration of the exam?+
What is the passing score?+
Does this CDSP certification have an expiry date?+
What are the career opportunities as a Certified Data Science Practitioner?+
With the industry-recognized CDSP certification, you can apply for many exciting job roles like:
- Data Scientist / Analyst
- Machine Learning Engineer
- Business Analyst
- Data Analyst
- Data Engineer / Architect
¿Cuál es la cuota de inscripción al examen?+
¿Dónde puedo hacer el examen?+
¿Cuál es el formato del examen?+
¿Cuántas preguntas se hacen en el examen?+
¿Cuál es la duración del examen?+
¿Cuál es la puntuación mínima para aprobar?+
¿Cuál es la política de repetición del examen?+
¿Dónde puedo encontrar más información sobre este examen?+
Your All-In-One CDSP Certification Guide
From essential topics to Lab projects, and practice questions. We’ve got you covered!
- 1 año de acceso completo
- 37 LiveLab incluido
- Certificado de finalización
No se requiere tarjeta de crédito