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  • Certificate Program in Analytics

    INR 22500

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    Program Summary

    • 15 credits
    • Duration 3 months
    • 90 Hours of online sessions

    Certificate Program in Analytics

    Mapped to TCS Ion Procert

    This program provides deeper Understanding of the world of Analytics.This certificate program in analytics is designed to prepare the learner for TCS iON Procert Analytics. Curriculum vetted by Industry experts in consultation with top Analytics gurus in the country. This acts as a gateway to TCS and many such top corporates. The program aims to help experienced professionals gain industry recognition for their analytics proficiency

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    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

    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 Mining 2 - Advanced Machine Learning with R & Python

    Sources of Error (Irreducible error, bias and variance)

    Formally defining the 3 Sources of Error

    Linear Regression – Multicollinearity (VIF)

    Qualitative Predictors – Use of Dummy Variables

    Observing overfitting in Polynomial Regression

    Regularized Regression (L2 – Regularization) – To avoid overfitting

    Regularized Regression (L1 – Regularization) – Feature selection using regularization

    Regularized Regression – How does regularized regression handles multicollinearity?

    Decision Tree – Pruning

    Bagging Models

    Designing your own Bagged Model

    Random Forest

    Boosting (Ada Boost)

    K Nearest Neighbour – Concept. kNN algorithm for k=1 and k>1

    Writing a K Nearest Neighbour algorithm from scratch

    Comparison of kNN with Linear Regression; Difference between kNN and kMeans.

    Revision of basics of Linear Algebra

    The Theory of dimension reduction

    Practical – Compressing an image file [Practical using R Software]

    Practical – Compressing an image file [Practical using R Software] (Continue)

    About TCS iON Procert

    TCS iON ProCert is a professional certification designed by industry practitioners to enable working professionals gain recognition for their domain expertise. It is a 2-Stage certification. The first stage is a proctored assessment which will be conducted at TCS iON assessment centres spread across India. The second stage is a Case Study based assessment to test application of domain knowledge.



    Course Highlights

    Key Features of the Program

    Outcome of the Program

    Certificate Program in 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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