AICPE India provides skill development courses, AICPE franchise opportunities, authorised training centre support, certificate verification, computer courses, vocational courses, accounting courses, digital marketing courses, typing courses, job-oriented courses and self-employment courses across India.

AICPE India offers skill development courses, AICPE franchise, authorised training centre registration, certificate verification, computer institute franchise, vocational training centre franchise and career-oriented courses across India.

DIPLOMA IN DATA ANALYST

AICPE skill-based course designed for practical learning, career development, job-readiness and self-employment opportunities.

Duration: 1 YEAR Course Code: C1481 Skill Development Course AICPE Certification Support
DIPLOMA IN DATA ANALYST

Course Highlights

  • Practical skill-based learning
  • Useful for career growth
  • Suitable for students and job seekers
  • Helpful for self-employment awareness
  • Certificate verification support where records are available

Course Syllabus

Course Title: Data Analyst

Course Duration: 1 Year (Part-Time)

Course Objectives

  • Equip students with foundational and advanced data analysis skills.
  • Provide practical knowledge and hands-on experience with tools like Excel, SQL, Power BI, Python, and Tableau.
  • Enable students to develop dashboards, perform data modeling, and visualize data effectively.
  • Prepare students for self-employment opportunities and enhance their career growth in data analysis.

Course Overview

This one-year part-time course is designed to provide students with comprehensive skills in data analysis, focusing on practical applications and self-employment opportunities. The course is divided into five modules, each covering essential tools and techniques in data analysis.

Course Teaching Methodology

  • Interactive Lectures: Theoretical understanding of concepts.
  • Hands-on Practice: Practical exercises and real-world projects.
  • Case Studies: Analysis of industry-specific data scenarios.
  • Assignments & Quizzes: Regular assessments to track progress.
  • Guest Lectures: Insights from industry experts.
  • Peer Discussions: Collaborative learning and problem-solving.

Importance for Learner

  • Career Growth: Equips students with in-demand skills for better job opportunities.
  • Self-Employment: Provides the knowledge needed to start a data analysis consultancy.
  • Practical Skills: Focuses on real-world applications to enhance employability.
  • Adaptability: Skills applicable across various industries and job roles.

Course Modules and Syllabus

Semester 1

Module 1: Excel for Data Analysis

  • Basics of Excel
    • Introduction to MS Excel
    • Beginner's Guide
    • Basic Functions of Excel
    • Data Validation in Excel
    • Data Connectors in Excel
    • Using Conditional Formatting
  • Cleaning Data in Excel
    • Basics of Formatting in Excel
    • Sorting and Filtering Data
    • Dealing with Null and Duplicate Values
    • Trimming Whitespace
    • Fixing Column Formats
  • Functions in Excel
    • Text Functions
    • IF, AND, and OR Functions
    • Date & Time Functions
    • COUNTIF, COUNTIFS, SUMIF, SUMIFS
    • Xlookup
  • Data Transformation in Excel
    • Power Query Basics
    • Cleaning and Transformation
    • Dealing with Text, Numerical, and Date Tools
    • Combining Files
  • Data Modeling in Excel
    • Importing Data in Power Pivot
    • Cardinality and Filter Direction
    • Creating Hierarchies
  • Visualization in Excel
    • Pivot Tables and Charts
    • Slicers and Buttons
    • Recorded Macros

Module 2: Advanced Excel and SQL Basics

  • Dashboards in Excel
    • Using ChatGPT for Excel
    • Creating Dashboards
    • Utilizing ChatGPT for Insights and Storytelling
  • SQL Basics
    • Introduction to Data, Databases, and SQL
    • Querying and Filtering Data
    • Conditional Expressions and Joining Tables
    • Aggregating Data and Subqueries
    • Window Functions
    • Data Visualization with Python

Semester 2

Module 2: Advanced SQL (continued)

  • Advanced SQL
    • Complex Joins, Stored Procedures, and Common Table Expressions
    • Using ChatGPT for SQL Queries

Module 3: Power BI for Data Analysis

  • Introduction to Power BI
    • Power BI Dashboard and Connectors
  • Table Transformations
    • Basic Transformations, Formatting, and Pivoting
    • Adding Conditional Columns
  • Data Modeling
    • Merge and Append Queries
    • Managing Data Relationships
  • AI Visuals in Power BI
    • Working with AI Visuals
  • DAX Functions
    • Introduction to DAX and Creating Calculated Columns
    • Understanding DAX Syntax and Functions
  • Dashboard Creation
    • Visualization Charts and Filtering Options
    • KPI Visuals and Custom Power

Module 4: Python for Data Analysis

  • Introduction to Python
    • Basics of Programming, Interpreter, and Installation
    • Writing and Running Python Code
  • Python Variables, Data Types, and Operators
    • Variables, Data Types, User Input, and Operators
  • Control Statements and Loops
    • Conditional Statements and Types of Loops
  • Python Data Structures
    • Strings, Lists, Sets, Tuples, and Dictionaries
    • Functions and Methods for Each Data Structure

Module 5: Tableau

  • Introduction to Tableau
    • BI Concepts and Tableau Overview
    • File Types and Extensions
  • Tableau Products and Data Connections
    • Desktop, Server, Publisher, Public, Reader
    • Data Connections and Types of Joins
    • Data Blending and Extract Creation
  • Tableau Charts
    • Various Chart Types (Area, Bar, Bubble, etc.)
  • Tableau Dashboards
    • Creating and Formatting Dashboards
    • Device Preview and Dashboard Filters
  • Calculations in Tableau
    • String, Date, Arithmetic, Aggregation, and Custom Calculations
  • Organizing and Simplifying Data
    • Filters, Sorting, Grouping, Sets, Hierarchies, Bins, and Parameters
    • Creating Cross Tabs and Dual Axis Visuals

Customization Based on Learner or Location

The course content can be adapted to meet specific requirements based on the learner's background, local industry demands, and career goals. Practical projects and case studies can be tailored to reflect regional business contexts and opportunities.


Course Title: Data Analyst

Course Duration: 1 Year (Part-Time)

Course Objectives

  • Equip students with foundational and advanced data analysis skills.
  • Provide practical knowledge and hands-on experience with tools like Excel, SQL, Power BI, Python, and Tableau.
  • Enable students to develop dashboards, perform data modeling, and visualize data effectively.
  • Prepare students for self-employment opportunities and enhance their career growth in data analysis.

Course Overview

This one-year part-time course is designed to provide students with comprehensive skills in data analysis, focusing on practical applications and self-employment opportunities. The course is divided into five modules, each covering essential tools and techniques in data analysis.

Course Teaching Methodology

  • Interactive Lectures: Theoretical understanding of concepts.
  • Hands-on Practice: Practical exercises and real-world projects.
  • Case Studies: Analysis of industry-specific data scenarios.
  • Assignments & Quizzes: Regular assessments to track progress.
  • Guest Lectures: Insights from industry experts.
  • Peer Discussions: Collaborative learning and problem-solving.

Importance for Learner

  • Career Growth: Equips students with in-demand skills for better job opportunities.
  • Self-Employment: Provides the knowledge needed to start a data analysis consultancy.
  • Practical Skills: Focuses on real-world applications to enhance employability.
  • Adaptability: Skills applicable across various industries and job roles.

Course Modules and Syllabus

Semester 1

Module 1: Excel for Data Analysis

  • Basics of Excel
    • Introduction to MS Excel
    • Beginner's Guide
    • Basic Functions of Excel
    • Data Validation in Excel
    • Data Connectors in Excel
    • Using Conditional Formatting
  • Cleaning Data in Excel
    • Basics of Formatting in Excel
    • Sorting and Filtering Data
    • Dealing with Null and Duplicate Values
    • Trimming Whitespace
    • Fixing Column Formats
  • Functions in Excel
    • Text Functions
    • IF, AND, and OR Functions
    • Date & Time Functions
    • COUNTIF, COUNTIFS, SUMIF, SUMIFS
    • Xlookup
  • Data Transformation in Excel
    • Power Query Basics
    • Cleaning and Transformation
    • Dealing with Text, Numerical, and Date Tools
    • Combining Files
  • Data Modeling in Excel
    • Importing Data in Power Pivot
    • Cardinality and Filter Direction
    • Creating Hierarchies
  • Visualization in Excel
    • Pivot Tables and Charts
    • Slicers and Buttons
    • Recorded Macros

Module 2: Advanced Excel and SQL Basics

  • Dashboards in Excel
    • Using ChatGPT for Excel
    • Creating Dashboards
    • Utilizing ChatGPT for Insights and Storytelling
  • SQL Basics
    • Introduction to Data, Databases, and SQL
    • Querying and Filtering Data
    • Conditional Expressions and Joining Tables
    • Aggregating Data and Subqueries
    • Window Functions
    • Data Visualization with Python

Semester 2

Module 2: Advanced SQL (continued)

  • Advanced SQL
    • Complex Joins, Stored Procedures, and Common Table Expressions
    • Using ChatGPT for SQL Queries

Module 3: Power BI for Data Analysis

  • Introduction to Power BI
    • Power BI Dashboard and Connectors
  • Table Transformations
    • Basic Transformations, Formatting, and Pivoting
    • Adding Conditional Columns
  • Data Modeling
    • Merge and Append Queries
    • Managing Data Relationships
  • AI Visuals in Power BI
    • Working with AI Visuals
  • DAX Functions
    • Introduction to DAX and Creating Calculated Columns
    • Understanding DAX Syntax and Functions
  • Dashboard Creation
    • Visualization Charts and Filtering Options
    • KPI Visuals and Custom Power

Module 4: Python for Data Analysis

  • Introduction to Python
    • Basics of Programming, Interpreter, and Installation
    • Writing and Running Python Code
  • Python Variables, Data Types, and Operators
    • Variables, Data Types, User Input, and Operators
  • Control Statements and Loops
    • Conditional Statements and Types of Loops
  • Python Data Structures
    • Strings, Lists, Sets, Tuples, and Dictionaries
    • Functions and Methods for Each Data Structure

Module 5: Tableau

  • Introduction to Tableau
    • BI Concepts and Tableau Overview
    • File Types and Extensions
  • Tableau Products and Data Connections
    • Desktop, Server, Publisher, Public, Reader
    • Data Connections and Types of Joins
    • Data Blending and Extract Creation
  • Tableau Charts
    • Various Chart Types (Area, Bar, Bubble, etc.)
  • Tableau Dashboards
    • Creating and Formatting Dashboards
    • Device Preview and Dashboard Filters
  • Calculations in Tableau
    • String, Date, Arithmetic, Aggregation, and Custom Calculations
  • Organizing and Simplifying Data
    • Filters, Sorting, Grouping, Sets, Hierarchies, Bins, and Parameters
    • Creating Cross Tabs and Dual Axis Visuals

Customization Based on Learner or Location

The course content can be adapted to meet specific requirements based on the learner's background, local industry demands, and career goals. Practical projects and case studies can be tailored to reflect regional business contexts and opportunities.


Read Full Syllabus

Eligibility

Below SSC

 

Important: AICPE is an autonomous private skill development and certification organisation. Acceptance or eligibility may vary depending on employer, institution, department or purpose.

AICPE Courses Grid

Browse AICPE skill development courses in an attractive grid format. Explore practical certificate courses for students, job seekers, women learners, working professionals and self-employment aspirants.

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Duration: 1 YEAR
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Duration: 2 MONTHS
Code: C1269

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Duration: 1 YEAR
Code: C1290

DIPLOMA IN CYBER LAW

Duration: 6 MONTHS
Code: C1330

DIPLOMA IN TAILORING

Duration: 6 MONTHS
Code: C1305

CERTIFICATE IN SOLIDWORKS

Duration: 2 MONTHS
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Duration: 2 MONTHS
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Duration: 3 MONTHS
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Duration: 3 MONTHS
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DIPLOMA IN CARPENTER

Duration: 1 YEAR
Code: C1318

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DIPLOMA IN GRAPHIC DESIGN

Duration: 6 MONTHS
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CERTIFICATE IN ETABS

Duration: 45 DAYS
Code: C1341

DIPLOMA IN STENOGRAPHY

Duration: 1 YEAR
Code: C1333

CERTIFICATE IN MS OFFICE

Duration: 2 MONTHS
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Duration: 2 MONTHS
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Duration: 20 DAYS
Code: C1366

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Duration: 20 DAYS
Code: C1369

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Duration: 1 MONTH
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Duration: 3 MONTHS
Code: C1386

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Duration: 2 MONTHS
Code: C1379

CERTIFICATE IN AUTOCAD

Duration: 45 DAYS
Code: C1392

CERTIFICATE IN MS OFFICE

Duration: 3 MONTHS
Code: C1399

CERTIFICATE IN PLUMBER

Duration: 1 MONTH
Code: C1383

CERTIFICATE IN SKETCHUP

Duration: 3 MONTHS
Code: C1390

DIPLOMA IN TAILORING

Duration: 1 YEAR
Code: C1389

CERTIFICATE IN TALLY PRIME

Duration: 6 MONTHS
Code: C1409

CERTIFICATE IN SAP FINANCE

Duration: 5 MONTHS
Code: C1438

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Duration: 3 MONTHS
Code: C1453

CERTIFICATE IN LUMION

Duration: 1 MONTH
Code: C1456

DIPLOMA IN YOGA

Duration: 6 MONTHS
Code: C1457

DIPLOMA IN DATA ANALYST

Duration: 1 YEAR
Code: C1481

CERTIFICATE IN CHATGPT

Duration: 1 MONTH
Code: C1465

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Duration: 2 MONTHS
Code: C1466

CERTIFICATE IN PHP

Duration: 2 MONTHS
Code: C1467

CERTIFICATE IN MY SQL

Duration: 3 MONTHS
Code: C1498

DIPLOMA IN UI/UX DESIGN

Duration: 6 MONTHS
Code: C1491

CERTIFICATE IN 2D AUTOCAD

Duration: 2 MONTHS
Code: C1492

CERTIFICATE IN 3D AUTOCAD

Duration: 2 MONTHS
Code: C1493

CERTIFICATE IN MS OFFICE

Duration: 40 HOURS
Code: C1494

ADVANCE DIPLOMA IN PYTHON

Duration: 8 MONTHS
Code: C1501

CERTIFICATE IN C AND C++

Duration: 3 MONTHS
Code: C1505

Explore AICPE Skill Development Courses

AICPE offers practical skill development courses through authorised training centres across India. Students can explore job-oriented courses, self-employment courses, computer courses, accounting courses, digital marketing courses, typing courses, vocational courses and soft skills programs.

For Students

Learn practical skills after 10th, after 12th or during college to improve confidence and career direction.

For Job Seekers

Build office, accounts, digital, typing, computer and communication skills for better job-readiness.

For Institutes

Institutes can become AICPE authorised training centres and offer skill-based courses locally.


AICPE Growth Opportunity

Start, Grow and Strengthen Your Training Institute

Join AICPE as an Authorised Training Centre and offer practical skill development courses, certificate programs and self-employment focused learning opportunities in your local area.

For Institutes

Become an AICPE Authorised Training Centre and offer practical skill courses in your local market.

For Students

Learn job-oriented, vocational, computer, accounting, digital and self-employment skills through AICPE centres.

For Local Growth

AICPE supports skill education opportunities for cities, towns, taluka places and developing education markets.

AICPE franchise benefits include authorised training centre opportunity, skill development course franchise, computer institute franchise, vocational training centre franchise, job oriented courses, certificate verification, self employment courses, low investment education franchise and practical certificate courses for institutes across India.

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