DSP-110.AK1
Data Science Foundation
Dive into the world of Data, its implications, limitations, and business impact. Transform your career!
- Practice in 37 Praktische Übungen — nothing to install
- 9 Interaktive Lektionen Und 30 topics mapped to the official exam objectives
- 230 Testfragen zur Praxis Und 2 Ausführliche Tests
Beginner Selbstgesteuert · 1 Jahr Zugang
37 Praktische LiveLabs
Practice real IT tasks in guided environments.
- Reale Umgebungen
- Automatisch bewertet
- Keine Installation
01 / Fähigkeiten, die Sie erwerben
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 Strukturierte Lektionen Umfassende Abdeckung der zentralen Kursziele
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37 Praktische LiveLabs Interaktive, geführte Szenarien mit sofortiger Auswertung
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230 Übungsfragen Bewertungstests mit ausführlichen Antwortbegründungen
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1 Jahr voller Zugang Selbstgesteuertes Lernen, jederzeit auf allen Geräten zugänglich
02 / Lektionen & Labore
See exactly what you will learn and practice
Unterrichtsplan
9 Interaktive Lektionen · 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 LiveLab +
- Topic A: Extract Data
- Topic B: Transform Data
- Topic C: Load Data
- Summary
10 LiveLab in this lesson — see the labs panel →
04 Analyzing Data 5 topics · 13 LiveLab +
- 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 LiveLab 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 LiveLab +
- Topic A: Train and Tune Classification Models
- Topic B: Evaluate Classification Models
- Summary
5 LiveLab in this lesson — see the labs panel →
07 Developing Regression Models 3 topics · 4 LiveLab +
- Topic A: Train and Tune Regression Models
- Topic B: Evaluate Regression Models
- Summary
4 LiveLab in this lesson — see the labs panel →
08 Developing Clustering Models 3 topics · 4 LiveLab +
- Topic A: Train and Tune Clustering Models
- Topic B: Evaluate Clustering Models
- Summary
4 LiveLab in this lesson — see the labs panel →
09 Finalizing a Data Science Project 4 topics · 1 LiveLab +
- Topic A: Communicate Results to Stakeholders
- Topic B: Demonstrate Models in a Web App
- Topic C: Implement and Test Production Pipelines
- Summary
1 LiveLab in this lesson — see the labs panel →
Praktische Übungen Our edge
37 LiveLabs- 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 / Prüfungsdetails
Data Science Foundation Details
Tauchen Sie ein in die Welt der Data Science und werden Sie mit der Prüfung zum Certified Data Science Practitioner (CDSP) zu einem gefragten Experten. In der heutigen datengetriebenen Welt sind Unternehmen auf...
Bereit für die Prüfung?
Fügen Sie Ihren offiziellen DSP-110.AK1 Prüfungsgutschein zu Ihrer Bestellung hinzu.
Offizieller Gutschein · Schnelle Lieferung · Wiederholungspaket verfügbar04 / FAQS
Fragen, bevor Sie beginnen
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
Wie hoch ist die Prüfungsgebühr?+
Wo kann ich die Prüfung ablegen?+
Wie ist die Prüfung aufgebaut?+
Wie viele Fragen umfasst die Prüfung?+
Wie lange dauert die Prüfung?+
Welche Punktzahl ist zum Bestehen erforderlich?+
Wie lauten die Regelungen zur Wiederholung der Prüfung?+
Wo finde ich weitere Informationen zu dieser Prüfung?+
Your All-In-One CDSP Certification Guide
From essential topics to Lab projects, and practice questions. We’ve got you covered!
- 1 Jahr voller Zugang
- 37 LiveLab enthalten
- Abschlusszertifikat
Keine Kreditkarte benötigt