DSP-110.AK1
Data Science Foundation
Dive into the world of Data, its implications, limitations, and business impact. Transform your career!
- Practice in 37 Hands-On Labs — nothing to install
- 9 Interactive Lessons and 30 topics mapped to the official exam objectives
- 230 Practice Test Questions and 2 Full Length Tests
Beginner Self-paced · 1 year access
37 Hands-On LiveLabs
Practice real IT tasks in guided environments.
- Real environments
- Auto-graded
- No installation
01 / Skills you'll get
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 Structured Lessons Comprehensive coverage of core course objectives
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37 Hands-On LiveLabs Interactive guided scenarios with instant evaluation
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230 Practice Questions Assessment tests with detailed answer rationales
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1 Year Full Access Self-paced learning accessible anytime on all devices
02 / Lessons & labs
See exactly what you will learn and practice
Lessons
9 Interactive Lessons · 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 →
Hands-On Labs 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 / Exam details
Data Science Foundation Details
Unlock the power of data and pave your way to success with the Data Science Foundation course. Prepare for the exam while engaging in interactive lessons, quizzes, test preps, and hands-on labs that will equip you with the skills to analyze, manipulate, and present data effectively. Become a sought-after data science practitioner and bring invaluable insights to your organization's decision-making processes.
Ready to take the exam?
Add your official DSP-110.AK1 exam voucher to your order.
Official Voucher · Fast delivery · Retake bundle available04 / FAQs
Questions before you start
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
What is the exam registration fee?+
Where do I take the exam?+
What is the format of the exam?+
How many questions are asked in the exam?+
What is the duration of the exam?+
What is the passing score?+
What is the exam's retake policy?+
Where can I find more information about this exam?+
Your All-In-One CDSP Certification Guide
From essential topics to Lab projects, and practice questions. We’ve got you covered!
- 1 year of full access
- 37 LiveLab included
- Certificate of completion
No credit card required