Business Analytics Master's Program

BIT's Business Analytics Master’s online training course is designed for candidates who want to start from basic Business Analytics tools like Excel, SQL, Tableau, Power BI and graduate to advanced tools like R, Python for Data Science.

  • 135000
  • 150000
  • Course Includes
  • Live Class Practical Oriented Training
  • 200 + Hrs Instructor LED Training
  • 120 + Hrs Practical Exercise
  • 75 + Hrs Project Work & Assignment
  • Timely Doubt Resolution
  • Dedicated Student Success Mentor
  • Certification & Job Assistance
  • Free Access to Workshop & Webinar
  • No Cost EMI Option


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What you will learn

  • approach business problems data-analytically. Students should be able to think carefully and systematically about whethe...
  • develop business analytics ideas, analyze data using business analytics software, and generate business insights.
  • Key analytic technologies and techniques, e.g. predictive modeling and machine learning, and how these can play a role i...
  • How to effectively manage the analytical processes and use the results of these processes as the basis for making inform...
  • Apply methods, tools, and software for acquiring, managing/storing, and accessing structured and unstructured data
  • Prepare data for statistical analysis, perform basic exploratory and descriptive analysis, and apply statistical techniq...
  • Apply descriptive, predictive and prescriptive analytics to business modeling and decision-making
  • Demonstrate orally, and in writing, the ability to explain complex analytical models and results

Requirements

  • There is no prior Technical Knowledge required to learn Business Analytics.

Description

|| About Business Analytics Master's Training Course 

Business Analytics Master’s Online Training Course is designed for business professionals and provides essential skills in business analytics and data science. The course schedule is designed to maximise learning, with minimum disruption to professional responsibilities. Business Analytics Master’s Program is a career-enriching programme that provides rigorous theoretical and practical training on data management, programming, statistics, machine learning, and artificial intelligence and business applications. Business Analytics Master’s Program is a hands-on and rigorous programme aims to strike a perfect balance between classroom and technology-aided learning. This is one of the best Business Analytics certification for candidates who do not have any prior background in analytics but want to jump-start their career in Analytics. After completing this course, you will be able to contribute like an experienced team member in driving smart business decision making.

  

This encompasses practical sessions that give you an insight into project management, risk analysis, digital and social network analysis, and operational analysis. From a functional perspective, you get to learn about domains such as Banking & Financial Services, Retail and e-commerce, Pharma and healthcare, and Telecom and network. Business Analytics is a combination of Data Analytics, Business Intelligence and Computer Programming. It is the science of analysing data to find out patterns that will be helpful in developing strategies. Its usage can be found in almost every industry. This course prepares students to understand business analytics and become leaders in these areas in business organizations. This course teaches the scientific process of transforming data into insights for making better business decisions.

Course Content

Lecture -1 Introducing business analyst

·     Introduction to business analyst domain

·     The need for business analysts

·     The various roles and responsibilities

·     How the business analyst fits in the project team

·     Significance of communication and collaboration

·     Core competencies of business analyst

·     Techniques and approaches in business analysis

·     How business analysts fit in the corporate structure

·     The different departments in the organization that business analysts connect with

·     Practical Exercise

Lecture -2 Understanding business needs

·     Understanding the needs of the business

·     Gathering the requirements

·     Studying feasibility

·     Prioritizing

·     Assessing the risks

·     Evaluating and choosing the right initiative

·     Assessing change of requirements

·     Getting the requirements approved

·     Practical Exercise

Lecture -3 Project management

·     Introduction to the various types of projects

·     What are the phases in an IT project

·     Important activities

·     deliverables and key people involved

·     Comparing the software development lifecycle and product lifecycle

·     How the projects depend on other projects

·     What are the tasks and responsibilities of project manager

·     Planning and monitoring a project

·     Critical path analysis

·     Creation of tasks

·     Relationship between tasks

·     Allocating the resources

·     Working under various constraints

·     Practical Exercise

Lecture -4 Techniques used by business analysts

·     Introduction to the various techniques that business analysts use like SWOT

·     CATWOE

·     Important tools used by business analysts

·     Analysis of strategy

·     Various components of strategy analysis

·     Identification of stakeholders and the needs of business

·     What is business modeling

·     Gathering of requirements

·     Analyzing

·     Designing

·     Implementing

·     Testing

·     deploying in the business environment

·     Practical Exercise

Lecture -5 Software project methodologies

·     The various software engineering processes

·     Understanding the software project steps

·     The software development lifecycle

·     The difference between waterfall and agile software project methodologies

·     RUP and RAD methodologies

·     Project deliverables

·     Practical Exercise

Lecture -6 UML with Microsoft Visio

·     UML Architecture

·     Modeling Types

·     Basic Notations

·     Standard Diagrams

·     Class Diagram

·     Object Diagram

·     Use Case Diagram

·     Interaction Diagram

·     Activity Diagram

·     Practical Exercise

Lectutre-1 Entering Data

·    Introduction to Excel spreadsheet

·    Learning to enter data

·    Flling of series and custom fill list

·    Editing and deleting fields

·    Practical Exercise

Lecture-2 Referencing in Formulas

·    Learning about relative and absolute referencing

·    The concept of relative formulae

·    The issues in relative formulae

·    Creating of absolute and mixed references

·    Practical Exercise

Lecture-3 Name Range

·    Creating names range

·    Using names in new formulae

·    Working with the name box

·    Selecting range

·    Names from a selection

·    Pasting names in formulae

·    Selecting names

·    Working with Name Manager

·    Practical Exercise

Lecture-4 Understanding Logical Functions

·    The various logical functions in Excel

·    The If function for calculating values and displaying text

·    Nested If functions

·    VLookUp and IFError functions

·    Practical Exercise

Lecture-5 Getting started with Conditional Formatting

·    Learning about conditional formatting

·    The options for formatting cells

·    Various operations with icon sets

·    Data bars and color scales

·    Creating and modifying sparklines

·    Practical Exercise

Lecture-6 Advanced-level Validation

·    Multi-level drop down validation

·    Restricting value from list only

·    Learning about error messages and cell drop down

·    Practical Exercise

Lecture-7 Important Formulas in Excel

·    Introduction to the various formulae in Excel

·    Sum, SumIF & SumIFs

·    Count, CountA, CountIF and CountBlank

·    Networkdays, Networkdays International

·    Today & Now function

·    Trim (Eliminating undesirable spaces)

·    Concatenate (Consolidating columns)

·    Practical Exercise

Lecture-8 Working with Dynamic table

·    Introduction to dynamic table in Excel

·    Data conversion

·    Table conversion

·    Tables for charts

·    VLOOKUP

·    Practical Exercise

Lecture-9 Data Sorting

·    Sorting in Excel

·    Various types of sorting

·    Alphabetical

·    Numerical

·    Row

·    Multiple column

·    Working with paste special

·    Hyperlinking

·    Using subtotal

·    Practical Exercise

Lecture-10 Data Filtering

·    The concept of data filtering

·    Understanding compound filter and its creation

·    Removing of filter

·    Using custom filter and multiple value filters

·    Working with wildcards

·    Practical Exercise

Lecture-11 Chart Creation

·    Creation of Charts in Excel

·    Performing operations in embedded chart

·    Modifying

·    Resizing

·    Dragging of chart

·    Practical Exercise

Lecture-12 Various Techniques of Charting

·    Introduction to the various types of charting techniques

·    Creating titles for charts

·    Axes

·    Learning about data labels

·    Displaying data tables

·    Modifying axes

·    Displaying gridlines and inserting trendlines

·    Textbox insertion in a chart

·    Creating a 2-axis chart

·    Creating combination chart

·    Practical Exercise

Lecture-13 Pivot Tables in Excel

·    The concept of Pivot tables in Excel

·    Report filtering

·    Shell creation

·    Working with Pivot for calculations

·    Formatting of reports

·    Dynamic range assigning

·    The slicers

·    Creating of slicers

·    Practical Exercise

Lecture-14 Ensuring Data and File Security

·    Data and file security in Excel

·    Protecting row, column, and cell

·    Different safeguarding techniques

·    Practical Exercise

Lecture-15 Getting started with VBA Macros

·    Learning about VBA macros in Excel

·    Executing macros in Excel

·    The macro shortcuts

·    Applications

·    The concept of relative reference in macros

·    Practical Exercise

Lecture-16 Core concepts of VBA

·    In-depth understanding of Visual Basic for Applications

·    The VBA Editor

·    Module insertion and deletion

·    Performing action with Sub

·    Ending Sub if condition not met

·    Practical Exercise

Lecture-17 Ranges and Worksheet in VBA

·    Learning about the concepts of workbooks & worksheets in Excel Protection of macro codes

·    Range coding

·    Declaring a variable

·    The concept of Pivot Table in VBA

·    Introduction to arrays

·    User forms

·    Getting to know how to work with databases within Excel

·    Practical Exercise

Lecture-18 IF condition

·    Learning how the If condition works

·    How to apply it in various scenarios

·    Working with multiple Ifs in Macro

·    Practical Exercise

Lecture-19 Loops in VBA

·    Understanding the concept of looping

·    Deploying looping in VBA Macros

·    Practical Exercise

Lecture-20 Debugging in VBA

·    Studying about debugging in VBA

·    The various steps of debugging

·    Understanding breakpoints and way to mark it

·    The code for debugging and code commenting

·    Practical Exercise

Lecture-21 Messaging in VBA

·    The concept of message box in VBA

·    Learning to create the message box

·    Various types of message boxes

·    The IF condition as related to message boxes

·    Practical Exercise

Lecture-22 Practical Projects in VBA

·    Mastering the various tasks and functions using VBA

·    Understanding data separation

·    Auto filtering

·    Formatting of report

·    Combining multiple sheets into one

·    Merging multiple files together

·    Practical Exercise

Lecture-23 Best Practices of Dashboards Visualization

·    Introduction to powerful data visualization with Excel Dashboard

·    Loading the data

·    Managing data and linking the data to tables and charts

·    Creating Reports using dashboard features

·    Practical Exercise

Lecture-24 Principles of Charting

·    Learning to create charts in Excel

·    The various charts available

·    The steps to successfully build a chart

·    Personalization of charts

·    Formatting and updating features

·    Various special charts for Excel dashboards

·    Understanding how to choose the right chart for the right data

·    Practical Exercise

Lecture-25 Getting started with Pivot Tables

·    Creation of Pivot Tables in Excel

·    Learning to change the Pivot Table layout

·    Generating Reports

·    The methodology of grouping and ungrouping of data

·    Practical Exercise

Lecture-26 Creating Dashboards

·    Learning to create Dashboards

·    The various rules to follow while creating Dashboards

·    Creation of dynamic dashboards

·    Knowing what is data layout

·    Introduction to thermometer chart and its creation

·    How to use alerts in the Dashboard setup

·    Practical Exercise

Lecture-27 Creation of Interactive Components

·    How to insert a Scroll bar to a data window

·    Concept of Option buttons in a chart

·    Use of combo box drop-down

·    List box control Usage

·    How to use Checkbox Control

·    Practical Exercise

Lecture-28 Data Analysis

·    Understanding data quality issues in Excel

·    Linking of data

·    Consolidating and merging data

·    Working with dashboards for Excel Pivot Tables

·    Practical Exercise

Lecture-1 SQL Fundamentals

·    Various types of databases           

·    Introduction to Structured Query Language         

·    Distinction between client server and file server databases        

·    Understanding SQL Server Management Studio

·    SQL Table basics              

·    Data types and functions              

·    Transaction-SQL               

·    Authentication for Windows                    

·    Data control language                   

·    The identification of the keywords in T-SQL, such as Drop Table

·    Practical Exercise

Lecture-2 Database Normalization

·    Data Anomalies                

·    Update Anomalies            

·    Insertion Anomalies                      

·    Deletion Anomalies                      

·    Types of Dependencies                 

·    Functional Dependency                

·    Fully functional dependency                    

·    Partial functional dependency                  

·    Transitive functional dependency            

·    Multi-valued functional dependency                   

·    Decomposition of tables               

·    Lossy decomposition                    

·    Lossless decomposition                

·    What is Normalization?                

·    First Normal Form            

·    Second Normal Form                    

·    Third Normal Form                       

·    Boyce-Codd Normal Form(BCNF)                      

·    Fourth Normal Form

·    Practical Exercise

Lecture-3 Entity Relationship Model

·    Entity-Relationship Model                       

·    Entity and Entity Set                    

·    Attributes and types of Attributes            

·    Entity Sets             

·    Relationship Sets              

·    Degree of Relationship                 

·    Mapping Cardinalities, One-to-One, One-to-Many, Many-to-one, Many-to-many                 

·    Symbols used in E-R Notation

·    Practical Exercise

Lecture -4 SQL Operators

·    Introduction to relational databases                     

·    Fundamental concepts of relational rows, tables, and columns   

·    Several operators (such as logical and relational), constraints, domains, indexes, stored procedures, primary and foreign keys     

·    Understanding group functions                

·    The unique key

·    Practical Exercise

Lecture -5 Working with SQL

·    Join,                       

·    Tables                    

·    Variables

·    Practical Exercise

Lecture-6 Advanced concepts of SQL tables

·    SQL functions                   

·    Operators & queries                      

·    Table creation                   

·    Data retrieval from tables             

·    Combining rows from tables using inner, outer, cross, and self joins             

·    Deploying operators such as ‘intersect,’ ‘except,’ ‘union,’         

·    Temporary table creation             

·    Set operator rules              

·    Table variables

·    Practical Exercise

Lecture – 7 Deep Dive into SQL Functions

·    Understanding SQL functions                  

·    Scalar functions                

·    Aggregate functions                      

·    Functions that can be used on different datasets, such as numbers, characters, strings, and dates

·    Inline SQL functions                     

·    General functions              

·    Duplicate functions

·    Practical Exercise

Lecture - 8 Working with Subqueries

·    Understanding SQL subqueries, their rules          

·    Statements and operators with which subqueries can be used     

·    Using the set clause to modify subqueries

·    Understanding different types of subqueries, such as where, select, insert, update, delete, etc 

·    Methods to create and view subqueries

·    Practical Exercise

Lecture - 9 SQL Views, Functions, and Stored Procedures

·    Learning SQL views                     

·    Methods of creating, using, altering, renaming, dropping, and modifying views                     

·    Understanding stored procedures and their key benefits 

·    Working with stored procedures              

·    Studying user-defined functions               

·    Error handling

·    Practical Exercise

Lecture -10 Deep Dive into User-defined Functions

·    User-defined functions                 

·    Types of UDFs, such as scalar                  

·    Inline table value              

·    Multi-statement table                    

·    Stored procedures and when to deploy them        

·    What is rank function?                 

·    Triggers, and when to execute triggers?

·    Practical Exercise       

Lecture - 11 SQL Optimization and Performance

·    SQL Server Management Studio              

·    Using pivot in MS Excel and MS SQL Server     

·    Differentiating between Char, Varchar, and NVarchar   

·    XL path, indexes and their creation                     

·    Records grouping, advantages, searching, sorting, modifying data

·    Clustered indexes creation           

·    Use of indexes to cover queries                

·    Common table expressions                       

·    Index guidelines

·    Practical Exercise

Lecture -12 Managing Data with Transact-SQL

·    Creating Transact-SQL queries                

·    Querying multiple tables using joins                    

·    Implementing functions and aggregating data     

·    Modifying data                 

·    Determining the results of DDL statements on supplied tables and data       

·    Constructing DML statements using the output statement

·    Practical Exercise

Lecture - 13 Querying Data with Advanced Transact-SQL Components

·    Querying data using subqueries and APPLY       

·    Querying data using table expressions                 

·    Grouping and pivoting data using queries

·    Querying temporal data and non-relational data

·    Constructing recursive table expressions to meet business requirements       

·    Using windowing functions to group                   

·    Rank the results of a query

·    Practical Exercise       

Lecture - 14 Programming Databases Using Transact-SQL

·    Creating database programmability objects by using T-SQL      

·    Implementing error handling and transactions

·    Implementing transaction control in conjunction with error handling in stored procedures  

·    Implementing data types and NULL

·    Practical Exercise

Lecture - 15 Designing and Implementing Database Objects

·    Designing and implementing relational database schema           

·    Designing and implementing indexes                  

·    Learning to compare between indexed and included columns    

·    Implementing clustered index                  

·    Designing and deploying views                

·    Column store views

·    Practical Exercise

Lecture - 16 Implementing Programmability Objects

·    Explaining foreign key constraints                       

·    Using T-SQL statements               

·    Usage of Data Manipulation Language (DML)

·    Designing the components of stored procedures

·    Implementing input and output parameters          

·    Applying error handling               

·    Executing control logic in stored procedures       

·    Designing trigger logic, DDL triggers, etc

·    Practical Exercise

Lecture - 17 Managing Database Concurrency

·    Applying transactions                   

·    Using the transaction behavior to identify DML statements       

·    Learning about implicit and explicit transactions

·    Isolation levels management                    

·    Understanding concurrency and locking behaviour

·    Using memory-optimized tables   

·    Practical Exercise

Lecture - 18 Optimizing Database Objects

·    Accuracy of statistics                    

·    Formulating statistics maintenance tasks 

·    Dynamic management objects management        

·    Identifying missing indexes                      

·    Examining and troubleshooting query plans        

·    Consolidating the overlapping indexes                

·    The performance management of database instances

·    SQL server performance monitoring

·    Practical Exercise

Lecture - 19 Advanced SQL

·    Correlated Subquery, Grouping Sets, Rollup, Cube

·    Implementing Correlated Subqueries                   

·    Using EXISTS with a Correlated subquery          

·    Using Union Query                       

·    Using Grouping Set Query           

·    Using Rollup                     

·    Using CUBE to generate four grouping sets        

·    Perform a partial CUBE

·    Practical Exercise