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Business Analyst

Best Business Analyst Course in Delhi

Market View

Business Analyst is s a highly appealing career path. Like any career, though, the nature of the work itself is a major factor in whether Business Analyst is the right career for you. The skills and competencies you have will, to a large degree, determine your success.

Course Overview

Business Analytics plays an important part of new process implementation and execution. With accurate Business Analysis, any company can better understand their revenue drivers, achieve growth of the business, loopholes in process, identify issues of the employees, enhance customer satisfaction, reduce the number of errors in the functionality and improve efficiency.This is why the need for a Business Process Analyst is extremely used in the companies and if you want to become a professional Business Analytics / Operation Analyst / Workforce Analysis, then it is necessary for you to attend quality Business Analytics Training in Delhi, Uttam Nagar, East Azad Nagar, Durgapuri, Kalkaji, Badarpur, Pitampura, Jaipur, Agra, Kanpur, Bhopal, provided by GDF Skills (a unit of Gayatri Devi Solution LLP).
It is a comprehensive Business Analytics / Operation Analyst / Workforce Analyst Training Course that would offer the necessary knowledge and skills to the learners who wants to become a professional Business Analytics / Operation Analyst / workforce analyst. The Business Analysis Training in Delhi would enable the participant to gain comprehensive Business Analysis Tools (Tableau/Power BI/Quickview etc.) and Business Intelligence techniques and fulfill the job duties of a Business Analytics / workforce Analyst efficiently.
The Business Analysis course curriculum of the Business Analytics Training Program is designed by industry Sr. Analytics Experts while keeping in mind the talent requirement of the Business Industry and the Business Analysis Training / workforce analyst Course is conducted by highly efficient subject matter experts with over 10+ years of experience in the relevant field who would use their experience to guide the learner's towards best career. The eligibility criteria to attend the Business Analytics Training Course is to have a graduate degree in any field along with and interest in numbers, statistics and figures. The Business Analytics Training / Operation Analyst is specifically targeted towards current college graduates and working professionals who want to enter into the business analysis field who wants to improve their analytics skills to achieve scope in their career.

About Best Business Analyst Training in Delhi

Business Analytics Training in Delhi, Uttam Nagar, East Azad Nagar, Durgapuri, Kalkaji, Badarpur, Pitampura, Jaipur, Agra, Kanpur, Bhopal, provided by GDF Skills (a unit of Gayatri Devi Solution LLP) is divided into five different module which can be completed within 120 hours of Business Analyst Training. Aspiring candidates can get preferred batch timings in the form of weekdays and weekend classes. The Business Analyst Training will provide extensive and in depth knowledge in Business Analysis tools which include Microsoft Advanced Excel, Microsoft Power BI, MS Access and SQL, Python Overview and R-programming.
All of these are considered extremely powerful and highly reliable Data Analytics tools which can be used by business organizations to identify the risks and opportunities in the market along with customer behavior and latest trends to make better decision making for the business. Our instructors will try the best to help the participants gain necessary skills and knowledge required to become a Professional Business Analyst which include communication skills, analytical skills, evidence based approach, better understanding of Information Technology, problem solving skills, etc.
The participants will also learn making better decisions for higher profit, understanding the information that could drive the business, impressing the stakeholders, managers and clients through better insight and presentation skills, saving a lot of time and money in data handling, turning files of data into sound business decisions, essential Excel analysis methods such as Advanced charts and dynamic range, impart your findings in an efficient manner the stakeholders and different forecasting techniques such as the regression and moving averages.
After successfully completing the Business Analysis Training Course the participants will be able to fulfill the job responsibilities of a Business Analyst which is to communicate with colleagues to better understand the requirement of departments and Organization, working with external stakeholders to investigate review into the service, using data modeling techniques to analyze the findings and making suggestions for strategic changes, considering opportunities and potential threats associated with the recommendations, supporting the staff and team to resolve issues, communicating the benefits of the recommendations to different departments, and much more.
The students will learn all this through Real-time Business Analyst Training conducted by the trainers along with live projects and assignments that would provide a working knowledge of business analysis. The Business Analyst with Tableau, MS Power BI, Python Data Visualization and R-Programming Training will make them a full-fledged professional in Business Analysis who would not require any additional Business Analyst Training to get a placement. The Business Analyst Course is highly beneficial for any candidate who wants to become a Data Analyst, Business Analyst, Data Manager, Business Intelligence professional, Senior Analyst, etc. The participants also receive valid Business Analyst Certification in Business Analysis upon successful completion of the Business Analysis training and give 100% Placement Assistance with mock interviews and Personality Development training to make them a job ready professional within a matter of time.

Why any one choose Business Analyst course or career option

Business Analysis is one of the fields which have an infinite scope as it deals with improving the business performance and productivity with or without Technology. Business Analysis can be anything which is performed to improve the Business Process. The job of a Business Analyst is extremely important for any business organization. Therefore, it can offer enormous benefit if you learn Business Analysis.
  • There is a huge requirement for a Business Analyst in the Indian market as every business wants to identify and remove issues which would lead to increase their productivity and achieve growth. Therefore, learning business analysis can help you provide better job security.
  • With increasing amount of data being generated, it is necessary for the business organizations to collect and analyze this business information to identify growth opportunities for the business, for which, they need to hire professional and certified Business Analysts.
  • A Business Analyst is considered one of the most prominent and highly valuable job profiles in an organization which would offer you respect and recognition in the market.
  • Many MNC organizations such as Genpact, HCL, Infosys, Google, and much more are constantly looking for certified Business Analysts and Business Intelligence professional who can help them improve their performance.
  • According to pay scale, a Business Analyst earns a better pay scale as compared to any other professional in the Data Analytics field. This is because the findings of a Business Analyst can be extremely important for the company to make necessary changes in the business process to achieve growth.
These are some of the reasons why you should consider joining Business Analysis Training Course in Delhi, Uttam Nagar, East Azad Nagar, Durgapuri, Kalkaji, Badarpur, Pitampura, Jaipur, Agra, Kanpur, Bhopal, provided by GDF Skills (a unit of Gayatri Devi Solution LLP). If you have any questions regarding the Business Analyst Course or our Institute, feel free to give us a call or visit our center in Delhi, Uttam Nagar, East Azad Nagar, Durgapuri, Kalkaji, Badarpur, Pitampura, Jaipur, Agra, Kanpur, and Bhopal.

Business Analyst Training Programmed Modules

Business Analytics Training Course

  1. Introduction to Excel
    • Basic Understanding Menu and Toolbar, Introduction to different category of functions like Basics, Mathematical and Statistical, Date and Time, Logical, Lookup and References, Text and Information.
  2. Mathematical Functions
    • Sum, Sumif, Sumifs, Count, Counta, Countblank, Countif, Countifs, Average, Averagea, Averageif, Averageifs, Subtotal
    • Aggregate, Rand, Randbetween, Roundup, Rounddown, Round, Sumproduct
  3. Date and Time Function
    • o Date, Day, Month, Year, Edate, Eomonth, Networkdays, Workday, Weeknum, Weekday, Hour, Minute, Second, Now, Today, Time
  4. Text Functions & Data Validation
    • Char, Clean, Code, Concatenate, Find, Search, Substitute, Replace, Len, Right, Left, Mid, Lower, Upper, Proper, Text, Trim, Value, Large, Small Filters (Basic, Advanced, Conditional), Sort (Ascending, Descending, Cell/ Font Color), Conditional Formatting, Data Validation, Group & Ungroup, Data split.
  5. Statistical Function & Other Functions
    • Isna, Isblank, Iserr, Iseven, Isodd, Islogical, Isytext, Max, Min, Len, Right, Left, Mid, ,Maxa, Maxifs, Median, Minifs, Mina, Vara, Correl, Geomen
  6. Logical Functions
    • And, Or, If, Iferror, Not, Nested If
  7. Lookup & Reference Functions
    • VLookup, HLookup, Index, Match, Offset, Indirect, Address, Column, Columns, Row, Rows, Choose, Arrays Concept In Lookup Formula's, Past Special, Past link
  8. Pivot Table - MIS, Data Analysis & Visualization
    • Pivot Table- What-if Analysis, Data Table - One Variable and Two Variables, Data Analysis Using Statistics, Descriptive Statistics, ANOVA, Moving Average, Testing Hypothesis, Measuring Covariance and Correlation, Distribution, Regression, Graphs & Charts, Analysis Tool Pack, Solver, Histogram, Pareto, Water Fall, Import and Export data, Protect/Unprotect sheets/workbooks, Worksheet formatting and Print Display
  9. Data Collection Method
    • With Data Quality, Collaboration & Security Like Share Your Workbook On Share Drive With Quality
  10. Analysis Single/Multidimensional Analysis
    • Like Three Dimensional (3D) Tables, Sensitive Analysis Like Data Table, Manual What-If Analysis, Threshold Values, Goal Seek, One-Variable Data Table, Two-Variable Data Table
  11. Advanced Dashboard in Excel
    • Overview of Chart types, Chart Formatting, Active X Form Controls, Principle of great dashboard design, Selecting Correct Chart to display data, Interactive Charts with Form Controls, Combo box, Check Box, Scroll Bar and Radio Button, Interactive Dashboard with Form Controls, Form Controls for reports automation, Data Models using Power Pivot
  12. Two Live Report Development in Advanced Excel
    • (Real World Data)

Dashboard Reports Allow User to Get High-Level Overview of the Business and Help Them Make Quick Decisions. Dashboards are Often Called as Management Information System (MIS), Which Provides Information that Organizations Require to Manage Themselves Efficiently and Effectively

  1. To Define KPIs (Key performance Indicator), Customer Service Dashboards or Project Management Dashboard (Gantt Chart)
  2. Dashboard Reports Based on Tables and Number or Charts/Graphs or Both.
  3. Introduction to Programming Introduction to logical thinking flowcharts & algorithms
  4. Define Objective, Start & End Points; Identifying Solution & Breaking it Into Sequential Steps Writing a Algorithm
  5. Step-by-Step Instructions, Flowcharts, Process Flow Diagrams. Excel Macros - an Introduction
  6. Complete Review of the VBA Language (Subs, Functions, Variables, Arrays, Loops, Logic etc.)
    • Excel Macro Language Review (VBA) Including Variables, Data Types, Constants, Arrays, Operators, Expressions, Loops, Logic Decisions And Calling
    • Overview Of Commanding Excel Using VBA Including A Discussion Of Objects, Properties And Methods
    • The Power of Macros - What, When, How to use Macros.
    • Introduction to Object Oriented Programming
    • Objects, Its Functions, Methods and Properties Introduction to Events
    • Details of Events, How & When to use of Events, Preparing to 'Macro' Visual Basic Editor (VBE) - Developer Tab, Security
    • Introduction to the VBE, Properties window, Project Explorer, Password Protection of Code How to use the VBE - Features, Options, Intelligence Technology
    • Debugging Mode, Bookmarks, Breakpoints, Watch Window, Immediate Window and Locals Window Inbuilt VBE Help Feature - Tips and Tricks
    • Form Controls vs. ActiveX Controls Getting into the Code
    • Message Box and Input Box Working with Data in Excel through VBA
    • Data Types, Constants and Variables
    • Different type of data type; How and When to use Variables to Store Information.
    • For-Next, For-Each, Do-While, Do until, Do Loop Decision-Making and Code Branching
    • If-Then-Else, Select-Case, And/or Nested Conditions
    • What is user's Defined Functions?
    • How to create & use them.
    • Use of Arrays in VBA programming with one dimensional, two dimensional or multi-dimensional analysis
  7. Excel VBA Power Programming For VBA Macros
    • Working with Dynamic Ranges. Protecting Worksheets, Cells and Ranges. Working with Multiple Files. Opening & Saving Files
    • How to Analyze Data On Multi Worksheets And Build Summary Sheets
    • How to Access The Windows File And Folder System To Open And Close Workbooks
    • How to Protect Your Code Against Errors
    • How to Use Excel And VBA To Create Basic Dash Boards
    • How to Create Your Own Custom Business Worksheet Functions In VBA
    • How to Create Basic Report Generation Tools Using Excel VBA, Microsoft Word And PowerPoint
    • How to Use The Excel Visual Basic Macro Recorder To Record Excel Tasks In VBA And Then Interpret The Code
  8. Overview of Using User forms To Create Business Wizards
    • Working with User Forms & User Forms Events like List box, Combo box, Option Buttons, Check box, Text box, Labels, Command button, Toggle button.
    • How to create dynamic dashboard on user form with different controls
    • How to link various user form with each other to create a complete interface between user and system
  9. Connection between Excel VBA & other platforms
    • How to Establish Connection Between VBA and Internet Explorer to Open any Internet Website through VBA
    • How to Establish Connection Between Excel VBA and power presentation to create power point through VBA
    • How to Establish Connection Between Excel VBA and Access database to update the data in access through VBA
    • How to Establish Connection Between Excel VBA and outlooks through VBA
    • How to Establish Connection Between Excel VBA and MS Word through VBA
  10. Testing and Debugging Your Code
    • Types of Errors
    • Using Breakpoints
    • Debugging Techniques
    • Dialogue Boxes
    • UsingMsgBox Function
    • UsingInputBox Function
    • Working with FileDialog
    • Working GetOpenFilname Method
    • Working GetSaveAsFilename Method
  11. Effective Error Handling
  12. Automation Development Reports & Live Projects

MS Access is a relational database management system (RDBMS) from Microsoft that combines the relational Microsoft Jet Database Engine with a graphical user interface and software-development tools.It can also import or link directly to data stored in other applications and databases.

  1. Introduction to SQL
    • SQL Course overview
    • Installing the test environment
    • What is SQL?
    • Editors and Platforms to learn SQL
  2. Complete SQL in a Class
    • Quick-start introduction
    • Using the basic SELECT statement
    • Selecting rows
    • Selecting columns
    • Counting rows
    • Inserting data
    • Updating data
    • Deleting data
    • Import and Export data
  3. Fundamentals of SQL
    • Databases and tables
    • SQL syntax overview
    • Data Definition, Data Manipulation, Data Control, Transactional Control statements
    • Creating tables
    • Deleting a table
    • Inserting rows into a table
    • Deleting rows from a table
    • What is NULL?
    • Controlling column behaviors with constraints
    • Changing a schema with ALTER
    • Filtering data with WHERE, LIKE, and IN
    • Removing duplicates with SELECT DISTINCT
    • Sorting with ORDER BY
  4. How Relationships Work in SQL
    • Understanding joins
    • Accessing related tables with JOIN
    • Multiple related tables
  5. Explaining SQL Strings
    • About SQL strings
    • Finding the length of a string
    • Selecting part of a string
    • Removing spaces with TRIM
    • Making strings uppercase and lowercase
  6. Numbers and SQL
    • About numeric types
    • Finding the type of a value
    • Integer division and remainders
    • Rounding numbers
  7. SQL Functions and Clause
    • The Aggregate functions MIN, MAX, AVG, SUM and COUNT, UPPER, LENGTH, LOWER
    • The GROUP BY and HAVING clauses Grouping in a combination with joining
  8. Triggers in SQL
    • Concept of Trigger
    • Create Trigger for (Insert,Update,Delete)
    • Alter Trigger
  9. What are Subselects and Views in SQL
    • Creating a simple subselect
    • Searching within a result set
    • Creating a view
    • Creating a joined view
  10. Maintaining SQL Server Database
    • Backup Database
    • Restore Database
  11. SQL Server Job Creation
    • How to create job in SQL Server Agent
    • How to schedule job
  12. Access environment and tools
  13. Database terminology and concept
  14. Designing database in Access
    • Join Tables That Have No Common Fields
    • Work with Subdatasheets
    • Create Sub queries
  15. Working with the runtime of Tables
  16. Data migration and importing
  17. Working with the Design side of Queries
  18. Working with the runtime of Queries
  19. Working with the Design side of Forms
    • Adding Controls to Forms
    • Creating Sub forms
    • Organizing Information with Tab Pages
    • Displaying a Summary of Data in a Form
    • Applying Conditional Formatting
  20. Working with the runtime of Forms, Managing Switchboard
  21. Understanding RDBMS
  22. Working with the Design side of Tables
    • Create Query
  23. Working with the Design side of Reports
    • Organize Report Information
    • Format Reports Include Charts in a Report
    • Add a Calculated Field to a Report
    • Add a Sub report to an Existing Report
  24. Working with the runtime of Reports
  25. Working with the Design side of Macros
    • Creating a Macro Restricting Records Using a Condition
    • Automating Data Entry Using a Macro
  26. Working with the runtime of Macros
  27. How to create a functional specification
  28. Build a real-world business application
  29. Putting altogether and deployment

Module 4 A) Tableau

  1. Getting Started with Tableau
    • Overview Of Tableau
    • Tableau Architecture
    • Installation And Configuration Of Tableau 10
  2. Connecting to The Data
    • Managing Metadata
    • Managing Extracts
    • Data Sources
    • Cross-Database Joins
    • Data Aggregation And Data Ports
    • Tableau Charts
    • Bar Charts and Stacked Bars Data Blending
    • Tree Maps and Scatter Plots
    • Individual Axes, Blended Axes, Dual Axes and Combinational Chart
  3. Visual Analytics
    • Drill Down and Hierarchies
    • Sorting, Filtering and Grouping
    • Trend and Reference Lines
    • Forecasting and Clustering
    • Analysis with Cubes and MDX
  4. Developing First Bar Char
    • Connecting Tableau to Data File
    • Navigating Tableau
    • Calculated Fields
    • Adding Colors, Labels and Formatting

Module 4 B) MS Power BI

  1. A Quick Introduction
    • What is MSPBI and its scope
    • Learn the common work flow in MSPBI
    • Building blocks of MSPBI and its relations
    • Quick demo how to create a business dashboard in MSPBI
    • MSPBI components
    • Old vs. new technologiesnecting to The Data
    • Power BI Desktop/Service/Mobile
  2. Getting Business Data
    • Get data in shape for use with MSPBI
    • Combining two or more data sets (source data) for reporting
    • Tackling messy data in MSPBI
    • Clean and transform data
  3. Modelling in Power BI
    • How to connect many different data sources
    • Manage data source (database) relationships
    • Unique keys
    • Calculated columns and more
    • Custom calculations to evaluate time-based functions
    • Build calculated tables based on DAX formulas and expressions
    • Creating and viewing visuals easier with optimized models
    • Discover hierarchal drill-down tools for date fields
  4. Data Visualization
    • Create and customize visualization in MSPBI and its power
    • Use combination charts

Time Series, Maps and Aggregation

  • Data Extracts and Time Series
  • Understanding Granularity, Aggregation and Level of Details
  • Default Location in Maps
  • Custom Geo Coding
  • Symbol Map and Filled Map

First Dashboard

  • Into Section
  • Joining Data In Tableau
  • Working With Maps and Hierarchies
  • Scatter Plot and Applying Filters in Different Sheets
  • Creating First Dashboard

Blending Data and Dual Axis Charts

  • Duplicate Values
  • Multiple Fields
  • Data Blending
  • Dual Axis Chart
  • Building Calculated Fields

Table Calculation and Storytelling

  • Downloading Dataset and Connection
  • Mapping
  • Building Table Calculation For Gender
  • Bins and Distributions for Age
  • Tree Map Chart
  • Advanced Dashboard
  • Storyline and Storytelling

Data Preparation

  • Data Format
  • Data Interpreter
  • Multiple Columns And Pivot
  • Metadata Grid
  • Advanced Data Preparation
  • Create and format slicers with it
  • Map visualizations and its utilization
  • Use tables and matrixes
  • Long live bubbles
  • scatter charts in action
  • Advanced funnel and waterfall charts
  • Drive fast dashboard insights with gauges and numbers
  • Color your visualization world with colors
  • shapes and scales
  • Adding personal touch
  • logo etc. to reports and dashboards
  • Display and present your dashboard in a way you want with summarize data
  • Control how your report elements overlap with each other
  • Learn to drill into hierarchies
  • Manage how levels are shared (Z-order in reports)
  • How to use R visuals in MSPBI

Data Exploring & Sharing

  • Quick insights in Power BI Service
  • Create and configure a dashboard
  • Share dashboard with your organization
  • Display and edit visuals- tiles
  • full screen
  • Get more space on your dashboard
  • Install and configure a personal gateway
  • Excel and MSPBI
  • Import and excel table into Power BI
  • Import excel files with data models and power view sheets
  • Connect One Drive for business to MSPBI
  • Excel data in Power BI summary

DAX (Data Analysis Expression) Application

  • DAX and its basic building blocks
  • Create calculated columns (fields) and measures in MSPBI using DAX formulas
  • Breadth of functions available in DAX
  • User variables in DAX
  • Create expressions across multiple tables with relational functions
  • Filter and evaluate tables using advanced table functions

Module 5 A) R-Programming

  1. Introduction to Business Analytics
    • Introduction to Business Analytics
    • Types of Analytics
    • Case study on Walmart, Signet Bank
    • Data Science and its importance
  2. Introduction to R
    • Introduction to R
    • Installing R
    • Installing R Studio
    • Workspace Setup
    • R Packages
  3. R Programming
    • R Programming
    • if statements
    • for statements
    • while statements
    • repeat statements
    • break and next statements
    • switch statement
    • scan statement
    • Executing the commands in a File
  4. R Data Structure
    • Data structures
    • Vector
    • Matrix
    • Array
    • Data frame
    • List
    • Factors
  5. Apply Functions
    • DPLYR & apply Function
    • Import Data File
    • DPLYP - Selection
    • DPLYP - Filter
    • DPLYP - Arrange
    • DPLYP - Mutate
    • DPLYP - Summarize
  6. Apply Functions
    • Data visualization in R
    • Bar chart, Dot plot
    • Scatter plot, Pie chart
    • Histogram and Box plot
    • Heat Maps
    • World Cloud

Module 5 B) Python

  1. Introduction to Python
    • Python Overview
    • Advantages and Disadvantages
    • Installation and Configuration
    • Interpreted Languages
  2. Programming with Python
    • Python Script
    • Standalone Scripts Under Unix And Windows
    • Using Variables and Operators
    • Command Line Parameters
    • Understanding Expressions
  3. Flow Control
    • If And Else If Statement
    • The While and Loop Statement
    • Continue Statement
    • Break Statement
    • Range () Function
    • Using Lists
  4. Sequence Data
    • List Operations and Methods
    • Sets
    • Dictionaries
    • Tuples
    • Strings
  5. Functions
    • Defining Functions
    • Parameters and Variables
    • Using Global Statement
    • Keyword Arguments
    • Keyword Only Parameters
    • The Return Statement
    • Varargs Parameters
    • Docstrings
  6. Errors and Exception Handling
    • Dealing Syntax Errors
    • Exception Handling
    • Cleaning Up
  7. Modules
    • Creating Modules
    • The From and Import Statement
  8. Apply Functions
    • Introduction to statistics
    • Type of Data
    • Distance Measures (Similarity, dissimilarity, correlation)
    • Euclidean space
    • Manhattan
    • Minkowski
    • Cosine similarity
    • Mahalanobis distance
    • Pearson’s correlation coefficient
    • Probability Distributions
  9. Hypothesis Testing I
    • Hypothesis Testing
    • Introduction
    • Hypothesis Testing - T Test, Anova
  10. Hypothesis Testing II
    • Hypothesis Testing about population
    • Chi Square Test
    • F distribution and F ratio
  11. Regression Analysis
    • Regression
    • Linear Regression Models
    • Non Linear Regression Models
  12. Classification
    • Classification
    • Decision Tree
    • Logistic Regression
    • Bayesian
    • Support Vector Machines
  13. Clustering
    • Clustering
    • K-means Clustering and Case Study
    • Logistic Regression
    • DBSCAN Clustering and Case study
    • Hierarchical Clustering
  14. Association
    • Association
    • Apriori Algorithm
    • Candidate Generation
    • Visualization on Associated Rules
    • Summary
    • Package
    • Dir Function
    • Module Name
  15. Importing and Exporting Data
    • Importing Data From Different Sources
    • Connecting To Databsem
    • Viewing Data Objects And Sets
    • Exporting Data To Other Formats
  16. Data Manipulation and Data Analysis
    • Cleansing Data With Python
    • Data Manipulation
    • Python Tools And In-Built Functions
    • Formatting And Normalizing Data
    • User Defined Functions
    • Data Analysis Using Statistics And Graphical Representation
  17. Data Structures and Regular Expressions
    • List, Tuples, Dictionaries And Set
    • Re Objects
    • Pattern Matching
    • Subexpressions
    • Parsing Data
    • Complex Substitutions
  18. Live Practice Sessions
    • Projects and Assignments
    • Live Training

  1. Introduction to Python Programming for Data Analysis
    • Data types : int, float, str etc
    • Operations on data types
    • Data structures: list, dict, tuples, set
    • Iterators/iterables
    • functions
    • Pandas Dataframe, NumPy arrays
    • Data manipulation in pandas: slicing, subset, cross tabulation, aggregation

    Reference Data for running example

    • XYZ Company Dataset
    • Titanic

Module 6 A) Data Exploration

  1. Data Exploration
    • Univariate Statistics: mean, median, std.
    • Bivariate Statistics : correlation , covariance
    • Plots using Matplotlib,seaborn
    • Concepts of inferential statistics
    • Standardization
    • log transform
    • dummy variable creation
  2. Dimensionality Reduction + Linear Transformation
    • PCA
    • LDA
    • Matrix
    • Determinant
    • Matrix multiplication
    • Element wise operations

Module 6 B) Supervised Learning

  1. Supervised Learning
    • Linear classifier: logistic regression
    • Linear classifier: Support Vector Classifier
    • Tree Classifier: Decision Trees
    • Ensemble Classifier: RF, Boosted Trees
    • Cost Function minimization
    • Scikit learn library
    • Regression
  2. Machine Learning Concepts
    • Bias , Variance
    • Regularization
    • Hyperparameter tuning
    • Parametric / non parametric methods
    • cross validation
    • Sampling data

Module 6 C) Advanced Unsupervised Learning

  1. Advanced Unsupervised Learning
    • K means Clustering
    • t- SNE
    • Agglomerative Clustering

Module 6 D) Introduction to Text processing

  1. Introduction to Text processing
    • Tokenization
    • N-grams
    • TF-IDF
    • cosine similarity
    • Text Classification
    • Topic Modelling
    • spaCy library

Module 6 E) Introduction to Deep Learning

  1. Introduction to Deep Learning
    • Understanding a perceptron
    • Forward propagation
    • Backward propagation
    • Parameter update
    • CNN
    • RNN: GRU, LSTM
    • Regularization: dropout, data augmentation
    • Optimization: Momentum, Adam, AdamW
      • Data loading
      • gradient descent
      • Framework
    • PyTorch

Is there any requirement of Graduation Degree?

A bachelor's degree is needed for most entry-level jobs. Most business analysts will have degrees in fields like mathematics, finance, statistics, economics, or computer science. Strong math and analysis skills are needed.

Is it beneficial for me to learn Business Analysis?

Acquiring skills in Business Analysis can be extremely beneficial for anyone as it offers them highly demanding skills that would make them and in demand professionals in the market who is highly respected and can earn a good income.

What is the job scope for Business Analysis?

There is an excess of requirement for Business Analysts in the Indian market as more and more companies are now understanding the importance of Business Analysis and how it can be useful to achieve growth and expansion of the business.

What is the scope of data analyst in India?

Data Analytics is one of the fastest growing feelings in the Indian industry which have increased by 80% over the past few years. It is also expected to increase by 300% in the next few years or more.

What is the eligibility criteria to attend Business Analysis Training Course?

The candidate needs to have a graduate degree in any field and should have an interest in working with numbers and figures. Having some programming knowledge can be beneficial for the Business Analyst Training but not mentally.

To whom should I contact if I have any more questions?

If you have any questions regarding the Business Analysis in Excel Course or the Business Analyst Training Institute you can simply give us a call at any of these numbers +91-9891768667, +919971024870, +919717750164. You can also submit your quotation on our official website and we will get back to you within 24 hours.

What kind of placement support provided after the Business Analyst training?

We conduct mock interviews for the participants and also provide valid certification that helps in resume building of the candidate. Personality development training is also provided to help them become ready for job interview.

Whom I Contact to join or Where is the Location?

GDF Skills is located near Uttam Nagar East metro station Kindly contact to our counselor for advanced training & placement support. Area near to us are laxmi nagar, mandawali, shakarpur, patparganj, mayur vihar, ashok nagar, kaushambi, pandav nagar, geeta colony, shahadra, dilshad garden, bhajanpura, loni, paharganj, connaught place, kamla nagar, karol bagh, lajpat nagar, greater kaishal, neheru place, okhla phase, jamia, sarita vihar, dwarka, uttam nagar, vasundhara, indirapuram, ghaziabad. Those living near jahangirpuri, azadpur, shalimar bagh, wazirpur, pitam pura, rohini, rithala, nangloi, paschim vihar, punjabi bagh, kirti nagar, tilak nagar, rajouri garden, janakpuri visit to our Uttam Nagar training center / East Azad Nagar Kindly Note: GDF Skills Trainer helps you to provide best training in Uttam Nagar or East Azad Nagar, traveling of about 15-20 minutes helps to choose best institute.

Is there any backup classes available?

Yes, backup classes can be arranged for any student who have missed any class or fall behind. However, the backup classes are subject to the availability of the trainer.

Why GDF is best for Business Analyst?

  1. Govt. registered institute E-verified Business Analytics Diploma
  2. Industry acceptable Data Analytics certification for all learner's training which help fresher/Experienced to up-skill at corporate.

  3. Experienced Faculty
  4. Industry Expert Sr. Lead Analyst / Technical Analyst With 12+ Years provide workshop session @ GDF

  5. Placement Assistance
  6. GDF Skills provide 100% placement assistance after completion of Data Analytics training our dedicated placement team arrange interview till placement.

  7. Lab Facility
  8. Data Analytics Practical Training help to gain exposure like corporate level with technical test series

  9. Data Analytics Workshop Sessions
  10. Real time projects & best case study makes GDF Skills workshop very unique and lively for learners.

  11. Admin Support
  12. For Learner's, Our admin team fresh batch schedule/re-scheduling classes/arrange doubt classes.

Scope for Business Analysts in India

Business analytics is one of the most promising IT jobs in India at present; the job description of a business analyst usually converges analytics and project management roles.

The scope in business analytics is consistently growing. It is helping it move toward becoming a standard requirement as organizations at all levels, and skills get into the big data game. Business analytics needs the right-center, right innovation, perfect individuals, the right culture, and top management commitment.

Organizations like IBM, Accenture, and Deloitte are utilizing business examination apparatuses and thinking of helpful and productive choices.

Business Analyst Jobs

These are some primitive jobs that are provided by the companies for a business analyst. It includes,

  • Finance controller/ analyst
  • Business development manager
  • Business Analyst
  1. Finance controller
  2. The job of the finance controller is to manage finance functions, operations, and should be in a position to develop financial statements and should also analyze business operations, revenues. Moreover, the qualifications required are a master's degree in accounting, business administration, and commerce.

  3. Business development manager
  4. the primary task for a candidate in this job is to develop strategies to increase the business growth, negotiating with stakeholders, building & retaining relationships with the existing clients, expanding the client base, and staying updated on the business news locally and internationally. The candidate to get hired should have the necessary skills such as Business development, marketing, strategy, finance.

  5. Business Analyst
  6. The business analyst's job is to outline the problems, therefore, analyzing them and giving solutions to overcome the problems. The qualifications required for a business analyst is to have a minimum of bachelor's degree in business studies, business administration, management, and information technology. The skills required are effective communication/ interpersonal skills, advanced excel skills, experience working with senior decision-makers.

Top Business Analyst Companies in India

Some of the best corporate houses that hire business analysts in India, as per a report by LinkedIn are as follows.

  • Tata Consultancy Services
  • Cognizant
  • Accenture
  • Wipro
  • Infosys
  • IBM
  • Deloitte
  • HPE

Some of the startups that provide an excellent opportunity to pursue a Business Analytics career are Fractal Analytics, Mu Sigma Analytics, and Absolut Data.

Business Analyst Salary

Business analysts are one of the most sought after professionals in the industry; they have a rare blend of business and analytical skills and are rewarded well with good pay packages. The average salary of a business analyst in India is INR 12.7 Lakhs across all experience levels and skillsets. Mumbai is the highest paying city at almost 13.3 Lakhs per annum, followed by Bengaluru at INR 12.5 Lakhs. 78% of analytics professionals receive a salary in INR 0-6 Lakhs salary bracket. It is an indication that more entry-level (fresher) professionals entered the analytics workforce this year.