Last Enrollment Date : 30th September'21

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  • Certificate Program in Business Analytics
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    INR 14,000

    No Cost EMI of Rs. 1165 per month learn more

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    Program Summary

    • 9 credits
    • Duration 3 months
    • 40 Hours of projects/Assignments
    • 98 Hours of online sessions

    Certificate Program in Business Analytics

    This Program on Business Analytics – 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

    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

    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

    Statistics with R

    Introduction to Data

    • Data Basics
    • Overview of data collection principles
    • Experiments - Principles of experiment design
    • Examining Numerical and Categorical data
    • Comparing numerical data across groups

    Introduction to Probability

    • Introduction
    • Conditional probability
    • Bayes’ Rule

    Distributions

    • Discrete Distributions
    • Continuous Distributions

    Introduction to linear regression

    • Correlation
    • Line fitting
    • Fitted values
    • Residuals
    • Basic introduction to multiple regression

    Foundations for inference and estimation

    • Variability in estimates
    • Sampling distribution
    • Confidence intervals
    • Margin of error and ascertaining a sample size

    Foundations for inference and hypothesis testing

    • Nearly normal population with known SD
    • Hypothesis testing framework
    • Two Tailed and One Tailed tests
    • Testing hypothesis using confidence intervals and Critical Z values
    • One-sample means with the t distribution with unknown population SD
    • Inference for a single proportion
    • Decision errors (Type 1 and 2)
    • Hypothesis testing using p-values
    • Choosing a significance level
    • Power and the type 2 error rate

    Linear Regression and Multiple Regression

    • Introduction to F-statistic
    • Hypothesis Tests
    • Intervals
    • Coefficient of Multiple Determination
    • Interpreting the model output
    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

    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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    Course Highlights

    Key Features of the Program

    Outcome of the Program

    Certificate Program in Business Analytics 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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