LTU-MCS2403.AJ1

MCS 2403 Intro to Data Science

Intermediate Self-paced · 1 year access

42 Hands-On LiveLabs

Practice real IT tasks in guided environments.

  • Real environments
  • Auto-graded
  • No installation

01 / Lessons & labs

See exactly what you will learn and practice

Download outline (PDF)

Lessons

15 Interactive Lessons · 55 topics
01 Data Science Terminology 5 topics · 1 LiveLab
  • What is data science?
  • The data science Venn diagram
  • Some more terminology
  • Data science case studies
  • Summary

1 LiveLab in this lesson — see the labs panel →

02 Types of Data 4 topics · 2 LiveLab
  • Structured versus unstructured data
  • The four levels of data
  • Summary
  • Questions and answers

2 LiveLab in this lesson — see the labs panel →

03 The Five Steps of Data Science 3 topics · 2 LiveLab
  • Introduction to data science
  • Exploring the data
  • Summary

2 LiveLab in this lesson — see the labs panel →

04 Data Mining Patterns 5 topics · 8 LiveLab
  • Cluster analysis
  • Anomaly detection
  • Association rules
  • Questions
  • Summary

8 LiveLab in this lesson — see the labs panel →

05 Data Mining Sequences 3 topics · 5 LiveLab
  • Patterns
  • Questions
  • Summary

5 LiveLab in this lesson — see the labs panel →

Hands-On Labs Our edge

42 LiveLabs
  • Extracting and Analyzing Cashtags in Tweets
  • Exploring CSV Data
  • Analyzing Temperature Data Using Statistical Methods
  • Performing Time-Based Analysis
  • Mastering Data Insights
  • Plotting a Graph by Performing k-means Clustering
Labs run in your browser — nothing to install.

02 / FAQs

Questions before you start

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Prepare for MCS 2403 Intro to Data Science

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  • 1 year of full access
  • 42 LiveLab included
  • Certificate of completion
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