Last Enrollment Date : 30th September'21

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  • PGP in Data Science and Data Visualization
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    INR 59,600

    No Cost EMI of Rs. 4950 per month learn more

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    Program Summary

    • 30 credits
    • Duration 1 Year
    • 95 Hours of projects/Assignments
    • 185 Hours of online sessions

    PGP in Data Science and Data Visualization

    This Post Graduate Program in Data Science and Data Visualization – designed by veterans in the Analytics industry; helps to establish a decent career in the growing Data and Analytics domain. This uniquely blended Program is brought to you by Praxis, a Top-ranked Analytics B-School in India.

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    Modules

    Big Data 101

    Big Data Characteristics

    • Volume
    • Variety
    • Velocity
    • Veracity
    • Valence
    • Value

    Big Data and Business

    Data Relationships and Data Model

    • One-to-one relationship
    • One-to-many relationship
    • Many-to-many relationship
    • Flat model
    • Hierarchical model
    • Network model
    • Relational model
    • Star schema model
    • Data vault model

    Data Grouping

    Clustering Algorithms

    • partitioning
    • hierarchical
    • grid based
    • density based
    • model based

    Getting ready for Clustering Algorithms

    Clustering Algorithms – UPGMA, single Link Clustering

    KPIs, Businesses & Data Elements

    Mapping for business outcomes

    • Define the pain point
    • Define the goal
    • Identify the actors
    • Identify the impacts
    • Identify the deliverables
    • Creating your impact map

    Basic Query

    Advanced Query – Embedding

    Mathematics Modelling

    Introduction to key mathematical concepts

    • eigenvalues and eigenvectors

    Application of eigenvalues and eigenvectors

    • investigate prototypical problems of ranking big data

    Application of the graph Laplacian

    • investigate prototypical problems of clustering big data

    Application of PCA and SVD

    • investigate prototypical problems of big data compression

    Coding in DB Environment

    Making Data Sets

    Statistics 101

    Introduction to Statistics

    Introduction to Statistics – II

    Measures of Central Tendency, Spread and Shape – I

    Measures of Central Tendency, Spread and Shape – II

    Measures of Central Tendency, Spread and Shape – III

    R Programming

    R Programming

    Introduction to R – I

    Introduction to R – II

    Common Data Structures in R

    Conditional Operation and Loops

    Looping in R using Apply Family Functions

    Creating User Defined Functions in R

    Graphics with R

    Advanced Graphics with R

    Hadoop

    Introduction to Big Data and Hadoop

    Introduction to DBMS systems using MySQL

    Big Data and Hadoop EcoSystem

    HDFS

    Unix & HDFS Hands-on

    Map-Reduce basics

    Map Reduce Advanced Topics and Hands on

    Pig introduction and Hands on

    Pig Scripting

    Hive Introduction, Metastore, Limitations of Hive

    Comparison with Traditional Database and HIVE scripting

    Hive Data Types, Partitioning and Bucketing

    Hive Tables (Managed and External)

    Hive Continued

    Scoop Introduction and Hands-on

    Introduction to NoSql and HBASE

    HBASE architecture and Hands-on

    Access Methods

    Big Data with Spark and Python

    Python

    Understanding Basics of Python

    Control Structures and for loop

    Playing with while loop | break and continue

    Strings and files

    List

    Dictionary and Tuples

    Data Visualization with Tableau

    Need for visualizing data

    • Same dataset, different interpretation
    • Read texts well, not numbers
    • Brain processes visuals by short circuiting brain’s pathways
    • Quicker conclusions | Speed

    Research methodologies

    • Problem Formulation
    • Literature review
    • Methodology
    • Analysis
    • Finding and Interpretation
    • Suggestion
    • Conclusion
    • Bibliography

    Importance of Big data visualization

    • Traditional Visualization
    • Big Data Visualization

    Tableau product offerings

    Installation of Tableau Public

    Working with Tableau - Live Case study/Discussion

    Creating interactive dashboards with Tableau Public

    Case study discussion

    • HR – Case Study with Data

    Story Boarding with Tableau Public

    Case study discussion

    Geomapping in Tableau

    • Create a geographic hierarchy
    • Build a basic map
    • Change from points to polygons
    • Add visual detail
    • Add labels
    • Customize your background map

    Qlik view – Basics

    • Download QlikView Personal Edition and Install

    Google charts – Basics

    • Creating a simple Google Chart with in data
    • Image generation, Line, bar, and pie charts.
    • Scatter plot
    • Google-o-meter
    • Map,Radar,Venn diagram
    • Specification of attributes

    Dynamic charts with Google Docs

    • Using Google Docs as database to store graphical data
    • Specifying the range of data and selecting columns
    • Creating an interactive Google Chart with Google Docs data

    Supplementary material & Case study discussion

    Closing session & Queries

    Data Visualization with D3

    RDBMS with SQL and DWH

    Introduction to DBMS / RDBMS

    Data Modelling

    Physical Data Model

    Getting Started with SQL Lite

    DDL

    DML

    Introduction to Data Warehousing

    Dimensional Modelling

    Advanced SQL

    Olap Cubes

    Olap Cubes Practicals

    Artificial Intelligence & Deep Learning - Industry Practices

    Industry Connect - See what experts say about this program

    • G Infotech

      We endorse this program. Thoughtfully designed and delivered. We are happy to screen and recruit candidates who meets our The programs are thoughtfully designed. We will be happy to look for candidates from 361 Degree Minds for our manpower requirements.


      -Praveen, Director, G Infotech

      Aaum Analytics

      This product is endorsed by Aaum Analytics.A company specialised in analytics with strong focus on research and technology

      Anthro Labs

      Being a Business Anthropologist, I largely work on Data and its Science for areas like HR Analytics, Market Research Analytics, Culture Research & Consulting. I find the programmes very diligently designed to meet the industry needs and for consultants like us. Great work by the team.


      -Suresh G V, Founder & CEO, Anthro Labs

      CapGemini

      As an Industry person with over 20 years of experience,I have witnessed multiple training programmes and training providers.This program of 361DM stands out from all of them for the expertise of professionals delivering, the quality of the content and the engaging model of the platform.Truly Enriching!


      - VijayKumar, Senior Manager, CapGeminiz

    About Praxis

    Praxis Business School, Kolkata, is a premier B-School whose courses are rated among India’s top two in Big Data and Analytics domain. It is one of the most trusted and influential management education institutions in India. Praxis Business School is motivated by the desire to generate business professionals who can partake in and add to the economic development of the country.

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    Mentors

    Testimonials

    Course Highlights

    Key Features of the Program

    Outcome of the Program

    Post Graduate Program in Data Engineering – Visualization is one of the key requisites in any large organization. The time is at its best for someone to take up a career in this domain. Enormous opportunities and extreme dearth in getting candidates force large organizations go helter-skelter. It is imperative that career seekers grab this opportunity.

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