Last Enrollment Date : 30th September'21

  • Career Support
  • Testimonials
  • Blog
  • Contact Us
  • Corporate
  • Professional certificate Program in Business Analytics
    Praxis Logo
    E 3

    INR 35,000

    No Cost EMI of Rs. 2910 per month learn more

    Premium MembershipPremium Membership

    Program Summary

    • 20 credits
    • Duration 6 months
    • 70 Hours of projects/Assignments
    • 146 Hours of online sessions
    E 3

    Professional certificate Program in Business Analytics

    This Professional Certificate Program in 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 by Praxis, a Top-ranked Analytics B-School in India.

    Sneak Peak

    Please fill the form. Get free personalized counselling from our Career experts.

    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
    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 Mining 1 - Machine Learning with R & Python

    Introduction to NumPy

    Introduction to Pandas

    Slicing Data

    Exploratory Data Analysis

    Exploratory Data Analysis (Continue)

    Missing Value Imputation and Outlier Analysis

    Linear Regression Motivation

    Linear Regression optimization objective

    Linear Regression in Python

    Introduction to Regression Tree

    Introduction to Classification Tree

    Measures of Selecting the best Split

    Cluster Analysis – Hierarchical Clustering & k-Means Clustering

    Customer segmentation in Telecom Industry using Cluster Analysis

    k-Means clustering

    Association Rules mining

    Market Basket Analysis

    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

    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

    Industry Connect - See what experts say about this program

    • G Infotech

      We are elated by the program methodology, content, people and the platform of 361 DM which instills confidence in the quality of candidates emerging out of this program. As a techprenur, I look forward for such candidates who could partner in our growth


      -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

      Infodrive Analytics

      very good on trainings

      -G.Karpagavalli, Sr Manager - HR

    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.

    MBA International Business Online

    Mentors

    Testimonials

    Course Highlights

    Key Features of the Program

    Outcome of the Program

    Professional 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.

    MBA Programs Online in Ebusiness

    Get in touch with us

    Get In Touch

    Contact Us

    Chatbot
    chatbot

    Sasha is online

    chatbot

    Hi there! I am Sasha

    And you are?