Last Enrollment Date : 30th September'21

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  • Certificate in Programming for Analytics
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    INR 20,000

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    Program Summary

    • 9 credits
    • Duration 3 Months
    • 86 Hours of online sessions
    • 30 Hours of projects/Assignments

    Certificate in Programming for Analytics

    This Certificate in Programming for Analytics has a perfect blend of Technology, Data Science and Business cases and insights; it stands out to be among the best in the world. 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

    Case Studies

    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

    Python

    Understanding Basics of Python

    Control Structures and for loop

    Playing with while loop | break and continue

    Strings and files

    List

    Dictionary and Tuples

    Spark with Python

    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

    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

    Advanced Certificate Program in Data Science 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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