Data Science

Content Provider

iNURTURE

Course Level

Intermediate

Mode Of Delivery

Self-Paced

Duration

40 hrs

Certification By

iNURTURE

Course Validity

Valid for 6 months post activation
  • 1,800/- 599/-
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Description

Shape your career in the ‘Data Era’ with this specialization and enhance your job opportunities in the Data Science field with this well-designed, on-demand, video based certification course. This course will enable you to build your skills in Data Science with R, data preparation, methodologies, and appreciate the need for Data Science in your day-to-day life. 



Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from data in various forms, both structured and unstructured, similar to data mining.



Data Scientists are better statistician than computer programmer and better computer programmer than the Statistician. Students who come out of school education can shape their career by intersecting in this specialization to get the huge job opportunities in the data science field. After globalization, career evangelist comes up with a new era called ‘Data Era’.



This course will enable you to prepare you for the ‘Data Era’


Curriculum

Module 1: Introduction to Data Science Methodologies




  • Data types

  • Introduction to Data Science tools

  • Statistics

  • Approach to business problems

  • Numerical Categorical, R, Python, WEKA,  RapidMiner

  • Hypothesis testing: Z, T, F test Anova, ChiSq



Module 2: Correlation/ Association Regression Categorical Variables




  • Introduction to Correlation Spearman Rank correlation

  • OLS Regression - Simple and Multiple Dummy Variables

  • Multiple Regression, Assumptions violation - MLE estimates

  • Using UCI ML repository dataset or built-in R dataset



Module 3: Data Preparation




  • Data preparation and Variable identification

  • Advanced regression

  • Parameter Estimation/Interpretation

  • Robust Regression

  • Accuracy in Parameter Estimation

  • Using UCL, ML repository dataset, or built-in R dataset



Module 4: Logistic Regression




  • Introduction to Logistic Regression

  • Logit Function

  • Training-validation approach

  • Lift charts

  • Decline Analysis

  • Using UCL, ML repository dataset, or built-in R dataset



Module 5: Cluster Analysis Classification Models




  • Introduction to cluster Techniques

  • Distance Methodologies, Hierarchical and non-hierarchical Procedure

  • K-Means clustering

  • Introduction to decision trees/Segmentation with the case study

  • Using UCL, ML repository dataset, or built-in R dataset.



Module 6: Introduction to forecasting techniques




  • Introduction to Introduction to Time Series

  • Data and Analysis

  • Decomposition of Time Series

  • Trend and Seasonality detection and forecasting

  • Exponential Smoothing

  • Building R Dataset

  • Sales forecasting Case Study


Key Features

By the end of this course, you will:




  • Know what Data Science is and its methodologies

  • Identify the process and components of Data Science projects 

  • Appreciate cluster analysis classification models

  • Recognize the importance of probability and statistics in Data Science

  • Familiarize yourself with forecasting techniques



 


Career Opportunities


  • Data Sciences & AI Graduate Programmer

  • Senior Analyst, Data Scientist

  • Visual Analytics Analyst

  • Data Engineer

  • Sr Product Engineer - Data Science


Certification

Key Features of this Course:




  • On Demand Video Based Course 

  • Structured Modules

  • Self-paced, Anytime, Anywhere, Any Device

  • Certificate of Completion / Participation Certificate 



After completing this course and successfully passing the certification examination, the student will be awarded the “Introduction to Data Science” certification.



If a learner chooses not to take up the examination, they will still get a 'Participation Certificate'




Who Should Attend


  • Engineering and IT students

  • Graduates with a programming background


Frequently Asked Questions

Where can I find courses on the Platform?

After login to KRACKiN(www.krackin.com), you can find courses on the dashboard which are segregated as skill courses, career tracks and also Annual Membership.consisting of 75000 + courses. You can enrol to any of the courses available by selecting the ‘Buy Now’ button.
Can I search courses domain wise on the platform?

Yes, Skill courses and Annual Membership plans are segregated domain wise. You can enter your domain and search for the desired courses.
Is online classes available for all the courses on KRACKiN?

No, online classes are not available for all courses on KRACKiN. Courses are designed as self- paced learning courses supported by videos, PPTs and practice quizzes etc. are provided for easy understanding of the students.
Are the course certificates valid?

Yes, the certificates are valid across all the sectors in the Industry.
Can I access your courses on Mobile device?

Yes, you can access the courses on your mobile browser.
Can my course access be extended?

We recommend you complete your assigned courses within the stipulated time as we do not have the provision to extend the course validity.
How to get my certificate after completing the course?

After the completion of all the given modules, the certificate will be auto generated by the system.

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