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Diploma In Data Analyst

• MS office version ( similarities and difference )
• Interface
• Mathematics calculation with cell referencing ( absolute , relative
and mixed )
• Keyboard shortcut for easy navigation
• Data Entry ( fill series )
• Forma ng Op on – Font, Alignment, Clipboard
• Arithmetic Function – (Sum, SumIf, SumIfs, Count, CountIf S,
Average, AverageIfs, Max, MaxIfs, Min, MinIfs )
• Logical function – IF, AND, OR, NOT, ERROR, Usage of mathematical
and logical function nested together
• V look up
• H look up
• Index
• Index with match function
• Indirect
• Offset
• Nested v look up
• Data validation
• Charts
• Pivot tables
• Basic introduction to VBA and macros

• Introduction to programming
• Variable and arithmetic expression
• Function
• Data type
• Condition and conditional statement
• Lists
• Oops

DATABASE WITH SQL

• Introduction to MY SQL
• SQL command and data type
• DQL operators
• Case when then and handling NULL values
• Group operation and aggregate function
• Constraints
• Joins
• DDL
• DML and TCL command
• Indexes and views
• Stored procedure
• Function , constructs
• Union, intersect , sub – query
• Exception handling

PYTHON

• Introduction to python, Data types & Opera on in python
• Anaconda installation
• Data type contd, slicing the data
•Inbuilt function in Python, Sets, Sets theory & Regular expression
•Decision making Statement, Loops, function & Lambda function
• Using PANDAS analysis on universities salary data sets

POWER BI

• Power BI Introduction and Installation
• The Power BI user interface, Including types of data sources and visualization 
• Sample dashboard with animation visual
• Power BI artificial intelligence visual & Power BI visualization
• Power query editor & Modeling with Power BI
• Power query editor filters data & customizes the data in Power BI
• Data expression, Custom visuals & Power BI services

TABLEAU

  • Introduction to Tableau (how to install Tableau Desktop)
  • Basic charts, formatting, Filters, Calculation
  • Data source and workspace page & Data combing techniques
  • Changing data roles, Visual cues for field
  • Data connection in Tableau, Organizing and simplifying data
  • Using latitude and longitude field & Heat map
  • Using Gan charts, string date logical and arithmetic calculation
  • Working with parameter & Creating multiple dashboard
  • Connection between dashboard and story & Special field type
  • Practices for creative effective dashboard
  • Using dashboard ac on, share the work & Custom charts
  • Groups, Bins, Hierarchies sets, Parameter & Analytics and Dashboard
  • Dashboard action, Tableau public & Tableau generated fields
  • Organizing and Simplifying data
  • Formatting and Annotation

R PROGRAMMING

  • Introduction to R, Installation of R studio & Data types in R
  • Decision making statement, Loops, Function & Built in function in R
  • Join, DPLYR, Ggplot2 & Program flow control in R
  • Array and string programming in R & Data reshaping and data frames
  • Oops and error handling in R & GUI design

GOOGLE SHEET

  • Introduction to Google Sheets interface and navigation
  • Creating, opening, and saving spreadsheets
  • Formatting cells, rows, and columns
  • Using formulas and functions (e.g., SUM, AVERAGE, IF, VLOOKUP)
  • Managing and sorting data
  • Working with multiple sheets within a workbook
  • Inserting and manipulating charts and graphs
  • Collaboration features such as sharing and commenting
  • Data validation and conditional formatting
  • Importing and exporting data
  • Working with pivot tables
  • Automation with Google Apps Script
  • Advanced functions and formulas (e.g., INDEX-MATCH, ARRAYFORMULA)
  • Protecting sheets and cells
  • Tips and tricks for efficient spreadsheet management
  • Real-world examples and case studies
  • Troubleshooting common issues in Google Sheets
  • Integration with other Google Workspace applications (e.g., Google Forms,
    Google Docs)
  • Best practices for organizing and maintaining spreadsheets

BUSINESS STATISTICS

  • Descriptive statistics, Probability, Normal distribution
  • Inferential distribution & Data cleaning and insights

CHAT GPT AND GENERATIVE AI

  • Evaluate production method in statistics 
  • Using Chat GPT to generate prompt
  • Chat GPT Prompt Engineering
  • Types of AI and Chat GPT Architecture
  • Introduction to Chat GPT and AI

SAS (STATISTICAL ANALYSIS SYSTEM)

  • Basic knowledge of SAS & Software for data analysis and report writing
  • Spread sheet and database & Statistical analysis in tables, graph and
    PDF documents
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