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Data Science Foundation

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.
Data Science Foundation
Test Prep
25+ Pre Assessment Questions | 2+ Full Length Tests | 25+ Post Assessment Questions | 50+ Practice Test Questions
37+ LiveLab | 37+ Video tutorials | 01:50+ Hours
The exam contains 100 (of which 75 count towards the final score) questions.

Why choose TOPTALENT?


Lessons 1:
About This Course

  • Course Description
  • Course Objectives

Lessons 2:
Addressing Business Issues with Data Science

  • Topic A: Initiate a Data Science Project
  • Topic B: Formulate a Data Science Problem
  • Summary

Lessons 3:
Extracting, Transforming, and Loading Data

  • Topic A: Extract Data
  • Topic B: Transform Data
  • Topic C: Load Data
  • Summary

Lessons 4:
Analyzing Data

  • Topic A: Examine Data
  • Topic B: Explore the Underlying Distribution of Data
  • Topic C: Use Visualizations to Analyze Data
  • Topic D: Preprocess Data
  • Summary

Lessons 5:
Designing a Machine Learning Approach

  • Topic A: Identify Machine Learning Concepts
  • Topic B: Test a Hypothesis
  • Summary

Lessons 6:
Developing Classification Models

  • Topic A: Train and Tune Classification Models
  • Topic B: Evaluate Classification Models
  • Summary

Lessons 7:
Developing Regression Models

  • Topic A: Train and Tune Regression Models
  • Topic B: Evaluate Regression Models
  • Summary

Lessons 8:
Developing Clustering Models

  • Topic A: Train and Tune Clustering Models
  • Topic B: Evaluate Clustering Models
  • Summary

Lessons 9:
Finalizing a Data Science Project

  • Topic A: Communicate Results to Stakeholders
  • Topic B: Demonstrate Models in a Web App
  • Topic C: Implement and Test Production Pipelines
  • Summary