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

Course Fee

This is a paid course.

Enroll Now

~~1,800/-~~ 1599/-

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.