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)

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

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