Job-Ready Data Analysis With Tableau Course Built to Boost Your IT Career

The Data Analysis course introduces key techniques for interpreting and analyzing data. Participants learn data collection, cleaning, and transformation using tools like Excel, SQL, and Python. The course emphasizes statistical analysis, data visualization, and pattern recognition to help learners extract insights and make data-driven decisions.

Key Features

Master data visualization techniques for clear and compelling presentations.

Develop proficiency in using industry-standard data analysis tools like Python and R.

Gain the ability to extract meaningful insights from complex datasets.

Learn statistical methods to validate data-driven decisions.

Acquire skills to automate data processing and analysis tasks.

Understand how to apply data analysis in real-world business scenarios.

Syllabus for Data Analysis With Tableau

Learn practical skills from industry experts to become job-ready in IT

  • Introduction To Excel - Ribbons & Tabs
  • Introduction To Excel - Quick Access Toolbar
  • Introduction To Excel - Mini Toolbar
  • Introduction To Excel - Title, Help, Zoom, View
  • Excel Worksheet - Moving On Worksheet
  • Excel Worksheet - All Operations Related To Worksheet
  • Excel Calculation - Addition
  • Excel Calculation - Sigma Addition
  • Excel Calculation - Subtraction
  • Excel Calculation - Average
  • Conditional Formatting
  • Sorting
  • Filtering
  • Charts(Basics)
  • Functions : Min, Max, Average, Count, Sum, CountA, CONTBLANK,
  • Introduction to Charts : Pie, Bar, Scatter, Line, Cluster Column
  • SPARKLINE
  • Explain customization of the Ribbon and Quick Access Toolbar
  • Explain proofing and management of Add-ins
  • Describe built-in and custom templates in Excel
  • Explain importing and exporting of XML data in Excel
  • Describe worksheet protection and locking/unlocking of cells
  • Explain workbook protection, finalization, and encryption of workbook
  • Explain shared workbook and change tracking in a shared workbook
  • Explain the process of recovering unsaved versions of a file
  • Explain tracing of formula precedents and dependents
  • Explain Data Validation tool and checking common errors in a file
  • Explain iterative calculation and setting calculation precision
  • Describe the user of single cell and multi cell array formula
  • Explain SUMIFS(), COUNTIFS(), and basic counting functions
  • Describe Statistical and Financial functions
  • Describe Date and Time functions
  • Describe Text, Logical, and Lookup functions
  • Explain the importance of chart title, legend, and gridlines
  • Explain modification of chart elements, chart area, plot area, and chart axes
  • Describe formatting of chart title, legend, and gridlines
  • Explain Trend lines and data series
  • Explain Dual axes and chart templates
  • Describe combination chart, error bars, and data tables
  • Explain conditional formatting of data using data bars, color scales, icon sets
  • Explain Spartlines
  • Describe sorting and filtering of labels and values in a privot Table Report
  • Describe the use slicer for pivot Table
  • Explain creation of PivotChart Report
  • Explain changing of the chart type of a PivotChart Report
  • Data Model in Excel
  • What if Analysis
  • Explain Analysis Tool Pak
  • Describe Correlation and Covariance
  • Explain Exponential smoothing, descriptive statistics
  • Describe Histogram and moving average
  • Consolidation
  • Group, Ungroup and Subtotal
  • SQL Introduction - Database
  • SQL Introduction - RDBMS
  • SQL Introduction - DBMS Vs RDBMS
  • SQL Introduction - Data Types
  • SQL Introduction - Operators
  • SQL Database - CREATE
  • SQL Database - DROP
  • SQL Database - INSERT
  • SQL Database - DELETE
  • SQL Table - CREATE
  • SQL Table - DROP
  • SQL Table - INSERT
  • SQL Table - DELETE
  • SQL SELECT - Unique
  • SQL SELECT - Distinct
  • SQL SELECT - Count
  • SQL SELECT - Top
  • SQL SELECT - First
  • SQL SELECT - Last
  • SQL SELECT - Random
  • SQL SELECT - AS, IN
  • SQL SELECT - Multiple
  • SQL SELECT - DATE
  • SQL SELECT - Sum
  • SQL SELECT - Null
  • SQL CLAUSE - Where
  • SQL CLAUSE - AND
  • SQL CLAUSE - OR
  • SQL CLAUSE - WITH
  • SQL CLAUSE - AS
  • SQL ORDERBY
  • SQL GROUP BY - Having
  • SQL INSERT
  • SQL UPDATE
  • SQL DELETE
  • SQL JOINS
  • SET KEYWORDS - UNION, UNION
  • SET KEYWORDS - ALL, INTERSECT, EXCEPT
  • SQL Keys
  • USING VIEW, STORED PROCEDURES & QUERYING METADATA
  • INDEXES
  • TRIGGERS
  • PROGRAMMING TRANSACT - SQL
  • TRANSACTIONS
  • ERROR HANDLING
  • Introduction to Data Visualization
  • Visual Analytics
  • Visual Analytics Dept I
  • Visual Analytics Dept II
  • Dashboads and Stores
  • Maps
  • Calculation
  • LOD Problem Set
  • Integration with python
  • Introduction - Basics of Python Programming
  • Introduction - List the steps to install Python on Windows, Mac, and Linux
  • Introduction - Kick Start Python using Integrated
  • Introduction - Print fucntion in details
  • Input Function
  • Define Variables
  • Date types
  • Operators(+,-,/,*)
  • Loops - While loop
  • Loops - For loop
  • SPYDER Environment - Introduction to SPYDER
  • SPYDER Environment - Debugging using SPYDER
  • Collections in python - List
  • Collections in python - Tuple
  • Collections in python - Dictionary
  • Collections in python - Set
  • Collections in python - Stack
  • Collections in python - Queue
  • Functions - Functions
  • Functions - User - defined functions
  • Classes & Methods in Python - Class and Objects
  • Exceptional Handling
  • Database Connectivity using Pandas lib
  • Generators & Iterators
  • Pickle Module in Python

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Industry-Curated Syllabus

Designed for real-world projects with input from industry experts and working professionals.

Expert Mentorship

Learn from working professionals with hands-on mentorship and live coding sessions.

Project-Based Learning

Build real-world applications and gain practical experience with industry-standard tools.

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24/7 technical support and dedicated career counselor to guide your learning journey.

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Certificate recognized by top IT companies, validating your skills and expertise.

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Guaranteed placement assistance with interview preparation and direct job opportunities.

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Beyond Technical Training

We provide comprehensive support to ensure your success in the tech industry

1:1 Mentorship

Get personalized guidance from industry professionals throughout your learning journey.

Communication Skills

Free training to enhance your soft skills and professional communication.

Mock Assessments

Regular assessments and hands-on projects to test your knowledge.

Career Enhancement

Profile building and resume optimization for better job opportunities.

Mock Interviews

Simulated interview sessions to prepare you for real-world scenarios.

Career Counseling

Expert guidance to help you make informed career decisions.

Verifiable Certificate Upon Completion

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Learn through hands-on projects, mock assessments, and simulated interviews—preparing you for real-world software development roles.

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