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    Certified Business Analytics Professional

    BY
    Edvancer Eduventures

    Brochure Enquire
    Mode

    Online

    Fees

    ₹ 22990 32990

    Quick Facts

    particular details
    Medium of instructions English
    Mode of learning Self study, Virtual Classroom
    Mode of Delivery Video and Text Based
    Frequency of Classes Weekends

    Course and certificate fees

    Fees information
    ₹ 22,990  ₹32,990
    certificate availability

    Yes

    certificate providing authority

    Edvancer Eduventures

    The syllabus

    Introduction to business analytics

    • What is analytics & why is it so important?
    • Applications of analytics
    • Different kinds of analytics
    • Various analytics tools
    • Analytics project methodology
    • Real world case study

    R Training

    Fundamentals of R
    • Installation of R & R Studio
    • Getting started with R
    • Basic & advanced data types in R
    • Variable operators in R
    • Working with R data frames
    • Reading and writing data files to R
    • R functions and loops
    • Special utility functions
    • Merging and sorting data
    • Case study on data management using R
    • Practice assignment
    Data visualization in R
    • Need for data visualization
    • Components of data visualization
    • Utility and limitations
    • Introduction to grammar of graphics
    • Using the ggplot2 package in R to create visualizations
    Data preparation and cleaning using R
    • Needs & methods of data preparation
    • Handling missing values
    • Outlier treatment
    • Transforming variables
    • Derived variables
    • Binning data
    • Modifying data with Base R
    • Data processing with dplyr package
    • Using SQL in R
    • Practice assignment

    Setting the base of business analytics

    Understanding the data using univariate statistics in R
    • Summarizing data, measures of central tendency
    • Measures of variability, distributions
    • Using R to summarize data
    • Case study on univariate statistics using R
    • Practice assignment
    Hypothesis testing and ANOVA in R to guide decision making
    • Introducing statistical inference
    • Estimators and confidence intervals
    • Central Limit theorem
    • Parametric and non-parametric statistical tests
    • Analysis of variance (ANOVA)
    • Conducting statistical tests
    • Practice assignment

    Predictive modelling in R

    Correlation and Linear regression
    • Correlation
    • Simple linear regression
    • Multiple linear regression
    • Model diagnostics and validation
    • Case study
    Logistic regression
    • Moving from linear to logistic
    • Model assumptions and Odds ratio
    • Model assessment and gains table
    • ROC curve and KS statistic
    • Case Study
    Techniques of customer segmentation
    • Need for segmentation
    • Criterion of segmentation
    • Types of distances
    • Hierarchical clustering
    • K-means clustering
    • Deciding number of clusters
    • Case study
    Time series forecasting techniques
    • Need for forecasting
    • What are time series?
    • Smoothing techniques
    • Time series models
    • ARIMA
    Decision trees & Random Forests
    • What are decision trees
    • Entropy and Gini impurity index
    • Decision tree algorithms
    • CART
    • Random Forest
    • Case Study
    Boosting Machines
    • Concept of weak learners
    • Introduction to boosting algorithms
    • Adaptive Boosting
    • Extreme Gradient Boosting (XGBoost)
    • Case study
    Cross Validation & Parameter Tuning
    • Model performance measure with cross validation
    • Parameter tuning with grid & randomised grid search

    Instructors

    Mr Utsab Chakraborty

    Mr Utsab Chakraborty
    Analytics Manager
    Flipkart Pvt. Ltd.

    B.E /B.Tech, Other Masters

    Mr Lalit Sachan

    Mr Lalit Sachan
    Co Founder
    Edvancer Eduventures

    B.E /B.Tech, Other Masters

    Mr Renold Devaraj

    Mr Renold Devaraj
    Data Scientist
    Dell

    B.E /B.Tech, MBA

    Mr Abhishek Nagarjuna

    Mr Abhishek Nagarjuna
    Data Scientist
    Freelancer

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