NITTTR Chandigarh

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 the student's Name, Photograph, Course Title, Certificate number, Date of course completion and the name(s) and logo(s) of the Certifying Bodies. Only the e-certificate will be made available. No Hard copies. The certificates issued by uLektz Learning Solutions Pvt. Ltd. can be e-verifiable at www.ulektzskills.com/verify.

Students are required to take online assessments with eProctoring.
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