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Learning Path

Linear: Sequential Order

About the Course

Course Overview
Data Science is the study of the generalizable extraction of knowledge from data. This course serves as an introduction to the data science principlesrequired to tackle data-rich problems in business and academia, including: Statistical Interference, Machine Learning, Machine Learning algorithms, Classification techniques, Decision Tree, Clustering, Recommender Engines, Text Mining & Time series.


Course Description
The Data Science course enables you to gain knowledge of the entire life cycle of Data Science, analyze and visualize different data sets, different Machine Learning Algorithms like K-Means Clustering, Decision Trees, Random Forest, and Naive Bayes.


Course Study Materials
Module 1 : Introduction
  • Before You Start Duration:
  • Welcome to the Course Duration:
  • What Do You Enjoy About Being a Data Scientist? Duration:
  • What Does a Data Scientist Do? Duration:
  • What Kind of Person Succeeds as a Data Scientist? Duration:
  • What Skills Does a Data Scientist Need? Duration:
  • What Advice Would You Give an Aspiring Data Scientist? Duration:
  • Assessment 3 Questions
Module 2 : Exploring Data
  • Getting Started with Data Duration:
  • Sorting and Filtering Data Duration:
  • Derived Data Duration:
  • Highlighting Data Duration:
  • Getting Started with Excel Online
  • Assessment 2 Questions
Module 3 : Analyzing and Visualizing Data
  • Aggregating Data Duration:
  • Grouping and Summarizing Data Duration:
  • Visualizing Data Duration:
  • Analyzing Data in Excel Online
  • Assessment 3 Questions
Module 4 : An Introduction to Statistics
  • Measuring Central Tendency Duration:
  • Measuring Variance Duration:
  • Skewed Distributions Duration:
  • Working with Samples Duration:
  • Correlation Duration:
  • Hypothesis Testing Duration:
  • A Handy Handout
  • Assessment 23 Questions
Module 5 : Introduction to Machine Learning
  • What is Machine Learning? Duration:
  • Regression Duration:
  • Classification Duration:
  • Clustering Duration:
  • Some Useful Resources
  • Assessment 32 Questions
Final Assessment
  • Final Assessment 20 Questions

The certificate issued for the Course will have

  • Student's Name
  • Photograph
  • Course Title
  • Certificate Number
  • Date of Course Completion
  • Name(s) and Logo(s) of the Certifying Bodies
  • .

    Only the e-certificate will be made available. No Hard copies. The certificates issued by NITTTR Chandigarh, MHRD - Government of India and Million Lights. can be e-verifiable at www.ulektzskills.com/verify.

    • Students are required to take online assessments with e-Proctoring.
    • Students will be assessed both at the end of each module and at the end of the Course.
    • Students scoring a minimum of 50% in the assessments are considered for Certifications
  • 45 hours Learning Content
  • 100% online Courses
  • English Language
  • Certifications


Registration opens on 04-02-2019


Your registration details are under review. It should take about 1 to 2 working days. Once approved you will be notified by email and then you should be able to access the course.

Course Approved

Approval Pending - In-Progress

Course access details will be shared within 24 hours.
For help contact: support@ulektz.com

Course Enrollment


Course starts on 06-10-2022


You have completed 6 hours of learning for 24-02-2024. You can continue learning starting 25-02-2024.


This course can only be taken in sequential order.


You have completed the course. You will be notified by email once the certificate is generated.


Are you sure want to enroll this course?.



S.no Date Title Reason

Result Summary

Microsoft Data Science as per AICTE Model Curriculum