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Data Science Course Training

Data Science Course Training

Duration: 3 Months

Looking for the best data science course in Kalyan? We offer top-notch data science training and certification in Thane, along with advanced data science classes in Dombivli and a comprehensive data science advanced course in Badlapur. Join our leading data science institute in Kalyan for practical, hands-on training and take the next step in your career with confidence!

  • Data Science
  • Advance Excel
  • MS SQL Server
  • Python
  • Power BI
  • Tableau
    training institute for Advance Excel in kalyanDownload Advance Excel Syllabus
  • Excel Introduction
    • An overview of the screen, navigation and basic spreadsheet concepts
    • Various selection techniques
    • Shortcut Keys
    • What is Spreadsheet
    • Using Basic Functions
    • Using Functions – Sum, Average, Max, Min, Count, Counta
    • Subtotal
    • Use of Ctrl+D
    • Absolute, Mixed and Relative Referencing
    • Formatting and Proofing
    • Currency Format
    • Format Painter
    • Formatting Dates
    • Custom and Special Formats
    • Formatting Cells with Number formats, Font formats, Alignment, Borders
    • Basic conditional formatting
    • Mathematical Functions
    • SumIf, SumIfs CountIf, CountIfs AverageIf, AverageIfs, Nested IF, IFERROR Statement, AND, OR, NOT
    • Protecting Excel
    • File Level Protection
    • Workbook, Worksheet Protection
    • Text Functions
    • Upper, Lower, Proper
    • Left, Mid, Right
    • Trim, Len, Exact
    • Concatenate
    • Find, Substitute
    • Date and Time Functions
    • Today, Now
    • Day, Month, Year
    • Date, Date if, DateAdd
    • EOMonth, Weekday
    • Advanced Paste Special Techniques
    • Paste Formulas, Paste Formats
    • Paste Validations
    • Transpose Tables
    • New in Excel 2013 / 2016 & 365
    • New Charts – Tree map & Waterfall
    • Sunburst, Box and whisker Charts
    • Combo Charts – Secondary Axis
    • Adding Slicers Tool in Pivot & Tables
    • Using Power Map and Power View
    • Forecast Sheet
    • Sparklines -Line, Column & Win/ Loss
    • Using 3-D Map
    • New Controls in Pivot Table – Field, Items and Sets
    • Various Time Lines in Pivot Table
    • Auto complete a data range and list
    • Quick Analysis Tool
    • Smart Lookup and manage Store
    • Sorting and Filtering
    • Filtering on Text, Numbers & Colors
    • Sorting Options
    • Advanced Filters on 15-20 different criteria(s)
    • Printing Workbooks
    • Setting Up Print Area
    • Customizing Headers & Footers
    • Designing the structure of a template
    • Print Titles –Repeat Rows / Columns
    • Advance Excel
    • What If Analysis
    • Goal Seek
    • Scenario Analysis
    • Data Tables (PMT Function)
    • Solver Tool
    • Logical Functions
    • If Function
    • Nested If
    • Complex if and or functions
    • Data Validation
    • Number, Date & Time Validation
    • Text and List Validation
    • Custom validations based on formula for a cell
    • Dynamic Dropdown List Creation using Data Validation – Dependency List
    • Lookup Functions
    • Vlookup / HLookup
    • Index and Match
    • Creating Smooth User Interface Using Lookup
    • Reverse Lookup using Choose Function
    • Worksheet linking using Indirect
    • Vlookup with Helper Column
    • Pivot Tables
    • Creating Simple Pivot Tables
    • Basic and Advanced Value Field Setting
    • Classic Pivot table
    • Choosing Field
    • Filtering PivotTables
    • Modifying PivotTable Data
    • Grouping based on numbers and Dates
    • Calculated Field & Calculated Items
    • Arrays Functions
    • What are the Array Formulas, Use of the Array Formulas?
    • Basic Examples of Arrays (Using ctrl+shift+enter).
    • Array with if, len and mid functions formulas.
    • Array with Lookup functions.
    • Advanced Use of formulas with Array.
    • Charts and slicers
    • Various Charts i.e. Bar Charts / Pie Charts / Line Charts
    • Using SLICERS, Filter data with Slicers
    • Manage Primary and Secondary Axis
    • Excel Dashboard
    • Planning a Dashboard
    • Adding Tables and Charts to Dashboard
    • Adding Dynamic Contents to Dashboard
    • If and select statements
    • Simple If Statements
    • The Elseif Statements
    • Defining select case statements
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  • Introduction Of Ms Sql Server
  • Installation Of Ms Sql Server
  • Sql Command
  • Ddl – Data Definition Language
  • Dql – Data Query Language
  • Dml – Data Manipulation Language
  • Create
  • Alter
  • Add
  • Modify
  • Rename
  • Drop
  • Truncate
  • Insert
  • Update
  • Delete
  • Merge
  • Aggregate And Built In Function
  • Max()
  • Min()
  • Length()
  • Avg()
  • Count()
  • Substr()
  • Sysdate()
  • Instr()
  • Trim()
  • Wildcard Search
  • Partition
  • Rank & Dense Rank
  • Constraints
  • Column Level Constraint
  • Table Level Constraints
  • Cascading Constraints
  • Not Null Constraint
  • Unique Constraint
  • Primary Key Constraint
  • Check Constraint
  • Foreign Key Constraint
  • Alter Table With Constraint
  • Group Function
  • In, Not In Clauses
  • Coalesce
  • Null, Not Null
  • Subqueries
  • Single Row Subquery
  • Multiple Row Subquery
  • Group Function Using Subquery
  • All With Subquery
  • Not In With Subquery
  • String Handling
  • Join (Display Data From Multiple Tables)
  • Innerjoin
  • Leftouterjoin
  • Rightouterjoin
  • Equijoin
  • Non-Equijoin
  • Outer Join
  • Self Join
  • Creating View
  • Simple View
  • Where Using View
  • DML Operation Using View
  • Force Using View
  • How To Use Sequence
  • Index
  • Using Set Operator
  • Union
  • Union All
  • Intersect
  • Distinct
  • Subqueries
  • Trigger & Types Of Trigger
  • Built-In Function
  • User-Defined Function
  • Stored Procedure
  • Validation Inside Stored Procedure
  • Try Catch
  • Temp Table Or Hash Table
  • Cursor
  • Profiler
  • Privileges In Sql
  • Create User
  • Grants & Revoke
  • Role
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  • Introduction to Power BI
  • Introduction to Data warehouse
  • Data warehouse Tools
  • What is Power BI?
  • Power BI – Flow of Activity
  • Building Blocks of Power BI
  • Power BI – Primary Tools: Power Pivot, Power Query, Power View, Power Map, Power Q&A, Power BI Desktop
  • Power BI Desktop
  • Power BI Desktop – Install
  • Data Sources and Connections
  • Connect to Data in Power BI Desktop
  • How to use Query Editor in Power BI
  • Advanced Data Changes and Transformation
  • Views in Power BI Desktop
  • Modeling Data - Manage Data Relationship, Create Calculated Columns, Optimize Data Models
  • Data Analysis Expressions (DAX)
  • What is DAX?
  • Data Types in DAX
  • Calculation Types
  • DAX Functions: Date and Time, Time Intelligence, Information, Logical, Mathematical, Statistical, Text, Aggregate Measures in DAX
  • Table Relationships and DAX
  • Data visualization
  • Why Data Visualization
  • Practices for Data Visualization
  • How to use Visual in Power BI
  • Reports in Power BI
  • Charts in Power BI (Scatter, Waterfall, Funnel)
  • Slicers
  • Filteration
  • Map Visualizations
  • Gauges and Single Number Cards
  • Custom visualizations
  • What Are Custom Visuals?
  • Office Store
  • Downloading Custom Visuals
  • Importing Custom Visuals in Power BI Report
  • KPI Visuals
  • Data Binding in Power BI
  • Power BI Integration Page And Administration
  • Data Gateways
  • Content packs
  • Power BI Report Server
  • Power BI Embedded
  • Power BI Embedded Conceptual Model
  • Workspace Collection
  • Adding Power BI content to a Workspace
  • Application Authentication Tokens
  • Parts of Power BI embedded - REST API
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  • Python Overview
  • Installation & Getting Started
  • What is Syntax?
  • Python Comments
  • Python Variables
  • Data Types
  • Python Numbers
  • Data Conversion
  • Type Casting
  • Python Operators
  • Python Booleans
  • Python Strings
  • Operation on Strings
  • String Methods
  • Format Strings
  • Escape Characters
  • Python Lists
  • List Indexes
  • Add List Items
  • Remove List Items
  • Change List Items
  • List Comprehension
  • List Methods
  • Python Tuples
  • Tuple Indexes
  • Manipulating Tuples
  • Unpack Tuples
  • Python Sets
  • Add/Remove Set Items
  • Join Sets
  • Set Methods
  • Python Dictionaries
  • Access Items
  • Add/Remove Items
  • Copy Dictionaries
  • if Statement
  • if-else Statement
  • elif Statement
  • Nested if Statement
  • Python for Loop
  • Python while Loop
  • Nested Loops
  • Control Statements
  • Python Functions
  • Function Arguments
  • return Statement
  • Python Recursion
  • Python Modules
  • Python Packages
  • Python OOPS
  • self method
  • -init- method
  • Tkinter
  • Conectivity of Mysql
  • Inserting, Fetching data from Mysql
  • Creating Registration Form
  • Project Work
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    • Start Page
    • Show Me
    • Connecting to Excel Files
    • Connecting to Text Files
    • Connect to Microsoft SQL Server
    • Connecting to Microsoft Analysis Services
    • Creating and Removing Hierarchies
    • Bins
    • Joining Tables
    • Data Blending
    • Parameters
    • Grouping Example 1
    • Grouping Example 2
    • Edit Groups
    • Set
    • Combined Sets
    • Creating a First Report
    • Data Labels
    • Create Folders
    • Sorting Data
    • Add Totals, Sub Totals and Grand Totals to Report
    • Area Chart
    • Bar Chart
    • Box Plot
    • Bubble Chart
    • Bump Chart
    • Bullet Graph
    • Circle Views
    • Dual Combination Chart
    • Dual Lines Chart
    • Funnel Chart
    • Traditional Funnel Charts
    • Gantt Chart
    • Grouped Bar or Side by Side Bars Chart
    • Heatmap
    • Highlight Table
    • Histogram
    • Cumulative Histogram
    • Line Chart
    • Lollipop Chart
    • Pareto Chart
    • Pie Chart
    • Scatter Plot
    • Stacked Bar Chart
    • Text Label
    • Tree Map
    • Word Cloud
    • Waterfall Chart
    • Geographic map
    • Filled map
    • Crosstab
    • Combines axis
    • Motion chart
    • Reference line
    • Convert to Custom SQL
    • Create a Dashboard
    • Format Dashboard Layout
    • Create a Device Preview of a Dashboard
    • Create Filters on Dashboard
    • Dashboard Objects
    • Create a Story