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Key Highlights

Comprehensive curriculum
Comprehensive curriculum
Our comprehensive curriculum covers MIS with Advanced Excel, Tableau, Power BI, SQL, and more, providing a well-rounded skill set for data manipulation, analysis, and visualization.
Practical learning
Practical learning
In our courses, we prioritize practical learning through hands-on exercises and real-world projects. You won't just learn theory; you'll have ample opportunities to apply your skills in practical scenarios.
Industry expertise
Industry expertise
Our courses are taught by experienced instructors who possess deep industry expertise. They have a wealth of practical knowledge and firsthand experience in the field of data analysis, business intelligence, and data visualization.
Career-focused training
Career-focused training
By gaining expertise in data manipulation, analysis, and visualization, you will acquire the skills needed to excel as a Data Analyst, Business Intelligence Analyst, or Data Visualization Specialist.
Data manipulate
Data manipulate
You will learn techniques to clean, transform, and process data, enabling you to extract meaningful insights. Through various analytical methods, you will uncover patterns, trends, and relationships within the data.
Flexible learning
Flexible learning
Enjoy a flexible learning schedule with 160 hours of training over 6 months, designed to fit your professional and personal commitments.

About the Course

Gain essential skills in data analysis

Excel, Tableau, Power BI, SQL, and more. Unlock your potential in data-driven decision-making.

Practical focus

Hands-on experience, real-world projects. Develop proficiency in data manipulation, analysis, and visualization.

Communicate insights effectively

Learn to present data visually, make data-driven decisions. Open doors to diverse career opportunities.

Suitable for all skill levels

Whether beginner or experienced, enhance data analysis capabilities with our comprehensive course.

Excel in data visualization

Dive into the world of Tableau, Power BI, and other tools. Stand out in the field of data analytics.

Career prospects

A-DVA course prepares you for roles in data analysis and opens doors to exciting career opportunities.

Content

This course provides comprehensive training in data analysis, visualization, and database management using tools such as Advanced Excel, Power BI, Tableau, SQL, and MS Access. It covers end-to-end data processes including data cleaning, transformation, analysis, automation with VBA, and dashboard creation. Learners gain hands-on experience in building interactive reports and deriving meaningful insights from real-world datasets. The program focuses on developing practical, job-ready skills aligned with industry requirements in data analytics and business intelligence.

  • Data Analytics Overview
  • Data Visualization for Decision making
  • Data Analytics in Different Sectors
  • understanding of the importance of data visualization

Excel Essentials

  • Excel Essentials
  • Working with Multiple Worksheet
  • Cell Referencing
  • Working with Data Lists
  • Conditional Formatting
  • Data Validation
  • What-If Analysis
  • Formula Auditing
  • Protection

Formulas & Functions

  • Conditional Function
  • Text & Statistical Function
  • Financial Function
  • Creating HLOOKUP and VLOOKUP Functions
  • Advanced Conditional Formatting
  • Advanced Lookup and Reference Functions

Dashboard Designing (MIS)

  • Creating Dashboard
  • Charts & Sparkline’s
  • Use of Power Pivots for Data Analysis
  • Use of Power Queries & Power Map
  • Pivot table Dashboard with Slicers

Automation

  • Working with External Data
  • Exporting & Importing Data to
  • Excel, Access, PPT, TXT, CSV
  • Updating Charts, Table in PowerPoint
  • Converting Reports into PDF
  • Exporting Charts, Tables to PowerPoint

Chat GPT

  • Introduction ChatGPT with Excel
  • Enhancing Excel Formulas with ChatGPT
  • Advanced Formula Assistance with ChatGPT
  • Data Cleaning and Transformation
  • Basic Data Analysis Techniques

  • Macro recording
  • Visual Basic Editor
  • Understanding Objects, Methods, Properties and Variables
  • Control Structures-Decision
  • Looping Structures
  • User Forms and GUI
  • Worksheet / Workbook Operations
  • Error Handling

  • Getting Started with Access
  • Working with Table Data
  • Querying a Database
  • Using Forms
  • Generating Reports
  • Designing a Relational Database
  • Sharing Data Across Applications

Introduction to Power BI

  • What is Power BI
  • Installing Power BI Desktop
  • Exploring the Power BI Workflow

Transforming Data with Power BI Desktop

  • Connecting to different sources
  • Different connecting Options
  • Shaping and transforming data with Power Query
  • Editing, Merging, Appending queries etc.

Modeling with Power BI

  • Introduction to Modeling
  • Building Relational Models
  • Creating table relationships
  • Understanding the filter flow
  • Cardinality and Cross filtering

Introduction to DAX

  • Understanding DAX Syntax
  • DAX calculation types
  • DAX functions
  • Using variables in DAX expressions
  • Table relationships and DAX
  • DAX tables and filtering

M Language

  • IF...ELSE Conditions, Transform Column () Types
  • Remove Column (), Spilt Columns (), Replace value ()
  • Table. Distinct option and Group BY option Table.
  • Group (), Table. Sort () With Type Conversions PIVOT
  • Operation and Table. Pivot (). List Functions Using
  • Parameters with M language

Visualizing Data with Reports

  • Creating Visualisations
  • Color & Conditional Formatting
  • Sort Order
  • Scatter & Bubble Charts & Play Axis
  • Tooltips, Slicers
  • Timeline Slicers & Sync Slicers
  • Cross Filtering and Highlighting
  • Visual, Page and Report Level Filters
  • Drill Down/Up, Hierarchies
  • Constant Lines
  • Tables, Matrices Table Conditional Formatting
  • Map Visualisations

Creating Dashboards

  • Pin Visuals and Pin Live Report Pages to Dashboard
  • Advantages of Dashboards
  • Interacting with Dashboards
  • Formatting Dashboard
  • Sharing Dashboard

Introduction to Tableau

  • Understanding Working
  • Architecture & Data Model
  • Data Connection & Joins
  • Working with multiple data sources
  • Data joining and blending

Tableau Interface

  • Measures and dimension
  • Shelves
  • Show me
  • Data Types
  • Default Properties
  • Marks Card
  • Page Shelf
  • Difference between .twb and .twbx
  • Discrete vs Continuous
  • Date Aggregations and Date parts
  • Cross tab
  • Totals & Subtotals

Chart Types

  • Bar Charts & Stacked Bars
  • Pie Chart
  • Line Graph with Date
  • Line Graph without Date
  • Area charts
  • Tree Map
  • Word Cloud
  • Packed Bubble
  • Box & Whiskers Plot
  • Scatter Plots
  • Highlight tables
  • Heat maps

Data Visualization

  • Geographical fields
  • Map options

Run Time Columns

  • Calculated Fields
  • String Calculation
  • Data Calculation
  • Logical Calculation
  • Numeric Calculation
  • Parameters
  • Table Calculations

Data Formatting

  • Legends
  • Highlights
  • Labelling
  • Number Formats
  • Alignment

Advanced Function

  • Sorting
  • Groups
  • Sets
  • Hierarchy
  • Reference and Trend Lines
  • Edit Axis
  • Bins

Filters

  • Dimension Filter
  • Measure Filter
  • Filter - Display Option
  • Context Filters
  • Relevant Filters
  • Sets in filters
  • Conditional Filters

Advanced Charts

  • Waterfall
  • Funnel

Dashboards

  • Dashboard Objects
  • Dashboard Actions
  • URL
  • Highlight
  • Filter
  • Publish to Web

Storyline in Tableau

Publish Reports


  • Database Management system
  • SQL Syntax
  • Data Manipulation Language
  • Data Query Language
  • Built in functions in SQL
  • Sub-Query & Joins

Learners Outcome

G-Tec Jain Education Learners Outcome
  • Gain proficiency in advanced Excel functions and formulas for data manipulation and analysis.
  • Develop interactive user interfaces and customize Excel functionalities using VBA.
  • Design and create databases in MS Access.
  • Create visually appealing and interactive visualizations using Tableau and Power BI.
  • Understand database management concepts, including data manipulation and querying.
  • Prepare for a successful career as a Data Analyst, Business Intelligence Analyst, or Data Visualization Specialist.

Career Outcome

  • Data Analyst
  • Business Intelligence Analyst
  • Data Visualization Specialist
  • Data Consultant
G-Tec Jain Education Career Outcome

Certificate

    • GJK:- Our Advanced Certificate Course in Data Visualization and Analysis stands out with its unique selling points (USPs). With a comprehensive curriculum, you'll gain expertise in manipulating, analyzing, and visualizing data. Practical exercises and real-world projects ensure hands-on skill application. Expert instructors with industry experience provide valuable guidance. This career- focused training opens doors to diverse sectors and job roles, empowering you for success in data analysis and visualization.
    G-Tec Jain Education


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TESTIMONIALS OF DATA VISUALIZATION & ANAYLSIS COURSE

Frequently Asked Questions

  • A-DVA is an advanced certification course focusing on data visualization techniques and analytics to extract valuable insights from data.
  • Aspiring data analysts, business analysts, data scientists, and professionals in fields requiring data-driven decision-making should consider this course.
  • The course covers advanced data visualization tools (e.g., Tableau, Power BI), data analysis techniques, data storytelling, dashboard creation, and interpreting complex data.
  • Basic knowledge of data analysis and familiarity with data visualization tools may be helpful but is not always mandatory.
  • P-ADVA enhances data visualization skills, allowing professionals to communicate data insights effectively, leading to better decision-making.
  • Yes, successful completion of the course earns a professional certification, validating the skills and expertise gained.
  • The course duration is 160 Hrs. and 7 Months.
  • Yes, many courses offer practical exercises and hands-on training to apply data visualization and analysis skills.
  • Yes, the skills acquired in A-DVA are versatile and applicable across industries where data analysis and visualization are crucial.
  • Yes, professionals with expertise in advanced data visualization and analysis are in high demand in the job market.
  • Yes, A-DVA typically covers both foundational and advanced data visualization methods to cater to learners of varying levels.


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