Data Analytics Course in Noida with 100% Job Assistance

NA

• Understanding Concepts of Excel
• Creation of Excel Sheet Data
• Range Name, Format Painter
• Conditional Formatting, Wrap Text, Merge & Centre
• Sort, Filter, Advance Filter
• Different type of Chart Creations
• Auditing, (Trace Precedents, Trace Dependents)Print Area
• Data Validations, Consolidate, Subtotal
• What if Analysis (Data Table, Goal Seek, Scenario)
• Solver, Freeze Panes
• Various Simple Functions in Excel(Sum, Average, Max, Min)
• Real Life Assignment work

• Ms Excel Advance
• Advance Data Sorting
• Multi-level sorting
• Restoring data to original order after performing sorting
• Sort by icons
• Sort by colours
• Lookup Functions
• Subtotal, Multi-Level Subtotal
• Grouping Features
• Consolidation With Several Worksheets
• Filter
• Printing of Raw & Column Heading on Each Page
• Workbook Protection and Worksheet Protection
• Specified Range Protection in Worksheet
• Excel Data Analysis
• Data Table
• Pivot Table
• Generating MIS Report In Excel
• Text Functions
• Lookup & Reference Function
• Logical Functions & Date and Time Functions
• Database Functions
• Statistical Functions
• Financial Functions
• Functions for Calculation Depreciation

NA

• SQL Server Fundamentals
• SQL Server 2019 Installation
• Service Accounts & Use, Authentication Modes & Usage, Instance Congurations
• SQL Server Features & Purpose
• Using Management Studio (SSMS)
• Conguration Tools & SQLCMD
• Conventions & Collation

• SQL Server 2019 Database Design
• SQL Database Architecture
• Database Creation using GUI
• Database Creation using T-SQL scripts
• DB Design using Files and File Groups
• File locations and Size parameters
• Database Structure modications

• SQL Tables in MS SQL Server
• SQL Server Database Tables
• Table creation using T-SQL Scripts
• Naming Conventions for Columns
• Single Row and Multi-Row Inserts
• Table Aliases
• Column Aliases & Usage
• Table creation using Schemas
• Basic INSERT
• UPDATE
• DELETE
• SELECT queries and Schemas
• Use of WHERE, IN and BETWEEN
• Variants of SELECT statement
• ORDER BY
• GROUPING
• HAVING
• ROWCOUNT and CUBE Functions

• Data Validation and Constraints
• Table creation using Constraints
• NULL and IDENTITY properties
• UNIQUE KEY Constraint and NOT NULL
• PRIMARY KEY Constraint & Usage
• CHECK and DEFAULT Constraints
• Naming Composite Primary Keys
• Disabling Constraints & Other Options

• Views and Row Data Security
• Benets of Views in SQL Database
• Views on Tables and Views
• SCHEMA BINDING and ENCRYPTION
• Issues with Views and ALTER TABLE
• Common System Views and Metadata
• Common Dynamic Management views
• Working with JOINS inside views

• Indexes and Query tuning
• Need for Indexes & Usage
• Indexing Table & View Columns
• Index SCAN and SEEK
• INCLUDED Indexes & Usage
• Materializing Views (storage level)
• Composite Indexed Columns & Keys
• Indexes and Table Constraints
• Primary Keys & Non-Clustered Indexes

• Stored Procedures and Benets
• Why to use Stored Procedures
• Types of Stored Procedures
• Use of Variables and parameters
• SCHEMABINDING and ENCRYPTION
• INPUT and OUTPUT parameters
• System level Stored Procedures
• Dynamic SQL and parameterization

• System functions and Usage
• Scalar Valued Functions
• Types of Table Valued Functions
• SCHEMABINDING and ENCRYPTION
• System Functions and usage
• Date Functions
• Time Functions
• String and Operational Functions
• ROW_COUNT
• GROUPING Functions

• Triggers, cursors, memory limitations
• Why to use Triggers
• DML Triggers and Performance impact
• INSERTED and DELETED memory tables
• Data Audit operations & Sampling
• Database Triggers and Server Triggers
• Bulk Operations with Triggers

• Cursors and Memory Limitations
• Cursor declaration and Life cycle
• STATIC
• DYNAMIC
• SCROLL Cursors
• FORWARD_ONLY and LOCAL Cursors
• KEYSET Cursors with Complex SPs

• Transactions Management
• ACID Properties and Scope
• EXPLICIT Transaction types
• IMPLICIT Transactions and options
• AUTOCOMMIT Transaction and usage

NA

• Introduction to Power BI
• Overview of BI concepts
• Why we need BI
• Introduction to SSBI
• SSBI Tools
• Why Power BI
• What is Power BI
• Building Blocks of Power BI
• Getting started with Power BI Desktop
• Get Power BI Tools
• Introduction to Tools and Terminology
• Dashboard in Minutes
• Interacting with your Dashboards
• Sharing Dashboards and Reports

• Power BI Desktop
• Power BI Desktop
• Extracting data from various sources
• Workspaces in Power BI

• Power BI Data Transformation
• Data Transformation
• Query Editor
• Connecting Power BI Desktop to our Data Sources
• Editing Rows
• Understanding Append Queries
• Editing Columns
• Replacing Values
• Formatting Data
• Pivoting and Unpivoting Columns
• Splitting Columns
• Creating a New Group for our Queries
• Introducing the Star Schema
• Duplicating and Referencing Queries
• Creating the Dimension Tables
• Entering Data Manually
• Merging Queries
• Finishing the Dimension Table
• Introducing the another DimensionTable
• Creating an Index Column
• Duplicating Columns and Extracting Information
• Creating Conditional Columns
• Creating the FACT Table
• Performing Basic Mathematical Operations
• Improving Performance and Loading Data into the Data Model

• Modelling with Power BI
• Introduction to Modelling
• Modelling Data
• Manage Data Relationship
• Optimize Data Models
• Cardinality and Cross Filtering
• Default Summarization & Sort by
• Creating Calculated Columns
• Creating Measures & Quick Measures

• Data Analysis Expressions (DAX)
• What is DAX
• Data Types in DAX
• Calculation Types
• Syntax, Functions, Context Options
• DAX Functions
• Measures in DAX
• Measures and Calculated Columns
• ROW Context and Filter Context in DAX
• Operators in DAX - Real-time Usage
• Quick Measures in DAX - Auto validations
• In-Memory Processing DAX Performance

• Power BI Desktop Visualisations
• How to use Visual in Power BI
• What Are Custom Visuals
• Creating Visualisations and Colour Formatting
• Setting Sort Order
• Scatter & Bubble Charts & Play Axis
• Tooltips and Slicers, Timeline Slicers & Sync Slicers
• Cross Filtering and Highlighting
• Visual, Page and Report Level Filters
• Drill Down/Up
• Hierarchies and Reference/Constant Lines
• Tables, Matrices & Conditional Formatting
• KPI's, Cards & Gauges
• Map Visualizations
• Custom Visuals
• Managing and Arranging
• Drill through and Custom Report Themes
• Grouping and Binning and Selection Pane, Bookmarks & Buttons
• Data Binding and Power BI Report Server

• Introduction to Power BI Dashboard and Data Insights
• Why Dashboard and Dashboard vs Reports
• Creating Dashboards
• Conguring a Dashboard Dashboard Tiles, Pinning Tiles
• Power BI Q&A
• Quick Insights in Power BI

• Direct Connectivity
• Custom Data Gateways
• Exploring live connections to data with Power BI
• Connecting directly to SQL Server
• Connectivity with CSV & Text Files
• Excel with Power BI Connect Excel to Power BI, Power BI Publisher for Excel
• Content packs
• Update content packs

• Publishing and Sharing
• Introduction and Sharing Options Overview
• Publish from Power BI Desktop and Publish to Web
• Share Dashboard with Power BI Service
• Workspaces (Power BI Pro) and Content Packs (Power BI Pro)
• Print or Save as PDF and Row Level Security (Power BI Pro)
• Export Data from a Visualization
• Export to PowerPoint and Sharing Options Summary

• Refreshing Datasets
• Understanding Data Refresh
• Personal Gateway (Power BI Pro and 64-bit Windows)
• Replacing a Dataset and Troubleshooting Refreshing

NA

• Introduction To Python
• Installation and Working with Python
• Understanding Python variables
• Python basic Operators
• Understanding the Python blocks.

• Python Keyword and Identiers
• Python Comments, Multiline Comments.
• Python Indentation
• Understating the concepts of Operators

• Introduction To Variables
• Variables, expression condition and function
• Global and Local Variables in Python
• Packing and Unpacking Arguments
• Type Casting in Python
• Byte objects vs. string in Python
• Variable Scope

• Python Data Type
• Declaring and using Numeric data types
• Using string data type and string operations
• Understanding Non-numeric data types
• Understanding the concept of Casting and Boolean.
• Strings
• List
• Tuples
• Dictionary
• Sets

• Control Structure & Flow
• Statements if, else, elif
• How to use nested IF and Else in Python
• Loops
• Loops and Control Statements.
• Jumping Statements Break, Continue, pass
• Looping techniques in Python
• How to use Range function in Loop
• Programs for printing Patterns in Python
• How to use if and else with Loop
• Use of Switch Function in Loop
• Elegant way of Python Iteration
• Generator in Python
• How to use nested Loop in Python
• Use If and Else in for and While Loop
• Examples of Looping with Break and Continue Statement
• How to use IN or NOT IN keyword in Python Loop.

• Python Function, Modules and Packages
• Python Syntax
• Function Call
• Return Statement
• Arguments in a function Required, Default, Positional, Variable-length
• Write an Empty Function in Python pass statement.
• Lamda/ Anonymous Function
• *args and **kwargs
• Help function in Python
• Scope and Life Time of Variable in Python Function
• Nested Loop in Python Function
• Recursive Function and Its Advantage and Disadvantage
• Organizing python codes using functions
• Organizing python projects into modules
• Importing own module as well as external modules
• Understanding Packages
• Random functions in python
• Programming using functions, modules & external packages
• Map, Filter and Reduce function with Lambda Function
• More example of Python Function

• List
• What is List.
• List Creation
• List Length
• List Append
• List Insert
• List Remove
• List Append & Extend using + and Keyword
• List Delete
• List related Keyword in Python
• List Revers
• List Sorting
• List having Multiple Reference
• String Split to create a List
• List Indexing
• List Slicing
• List count and Looping
• List Comprehension and Nested Comprehension

• Tuple
• What is Tuple
• Tuple Creation
• Accessing Elements in Tuple
• Changing a Tuple
• Tuple Deletion
• Tuple Count
• Tuple Index
• Tuple Membership
• TupleBuilt in Function (Length, Sort)

• Dictionary
• Dict Creation
• Dict Access (Accessing Dict Values)
• Dict Get Method
• Dict Add or Modify Elements
• Dict Copy
• Dict From Keys.
• Dict Items
• Dict Keys (Updating, Removing and Iterating)
• Dict Values
• Dict Comprehension
• Default Dictionaries
• Ordered Dictionaries
• Looping Dictionaries
• Dict useful methods (Pop, Pop Item, Str , Update etc.)

• Sets
• What is Set
• Set Creation
• Add element to a Set
• Remove elements from a Set
• PythonSet Operations
• Frozen Sets

• Strings
• What is Set
• Set Creation
• Add element to a Set
• Remove elements from a Set
• PythonSet Operations

• Python Exception Handling
• Python Errors and Built-in-Exceptions
• Exception handing Try, Except and Finally
• Catching Exceptions in Python
• Catching Specic Exception in Python
• Raising Exception
• Try and Finally

• Python File Handling
• Opening a File
• Python File Modes
• Closing File
• Writing to a File
• Reading from a File
• Renaming and Deleting Files in Python
• Python Directory and File Management
• List Directories and Files
• Making New Directory
• Changing Directory

• Python Database Interaction
• SQL Database connection using
• Creating and searching tables
• Reading and Storing cong information on database
• Programming using database connections

• Reading an excel
• Working With Excel
• Reading an excel le using Python
• Writing to an excel sheet using Python
• Python| Reading an excel le
• Python | Writing an excel le
• Adjusting Rows and Column using Python
• ArithmeticOperation in Excel le.
• Play with Workbook, Sheets and Cells in Excel using Python
• Creating and Removing Sheets
• Formatting the Excel File Data
• More example of Python Function

• Complete Understanding of OS Module of Python
• Check Dirs. (exist or not)
• How to split path and extension
• How to get user prole detail
• Get the path of Desktop, Documents, Downloads etc.
• Handle the File System Organization using OS
• How to get any les and folders details using OS