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Master Data Analytics & BI for Data-Driven Decision Making

TechnoPaat offers a comprehensive Data Analytics & Business Intelligence (BI) Course for professionals, analysts, and business leaders. Build practical skills across data analytics fundamentals, BI strategy, and essential tools including Power BI, Tableau, SQL, and Excel.

Learn to collect, clean, model, analyze, and visualize data to drive strategic decisions. Practice with real projects to turn raw data into dashboards, reports, and actionable insights. Ideal for aspiring data analysts, BI practitioners, and decision-makers who want measurable business impact.

Master Data Analytics & BI for Data-Driven Decision Making

Data analytics is an umbrella discipline that includes analysis, data mining, machine learning, and adjacent methods. While data scientists often build predictive models and forecasts, data analysts focus on extracting actionable insights from varied data sources to answer concrete business questions.

Modern analytics covers data cleansing, preparation, analysis, and communication. Analysts gather data from multiple systems and apply techniques such as segmentation, basic machine learning, predictive analytics, and sentiment analysis to generate findings that inform high-stakes decisions across product, marketing, finance, and operations.

Effective analysts are proficient in descriptive statistics, data modeling, and clear reporting. They convert unstructured inputs into structured datasets, create dashboards and reports, and present evidence-based conclusions to stakeholders in an understandable way.

Core skills include a working knowledge of statistics, database fundamentals, and data visualization. Strong SQL and spreadsheet fluency, plus tooling like Python or R, help analysts build trustworthy datasets, design meaningful views, and recommend targeted actions aligned with business goals. In practice, data analytics often functions as the applied, business-focused layer of the broader data science field.

Excel Functions
  • Basic Excel Function
  • Mathematical Functions
  • Logical Functions
  • Text Functions
  • Statistical Functional
  • Relation Based Functions
  • Financial Functions
  • Date-Time Functions
Advance Paste Special Techniques
  • Paste Formulas, Paste Formats
  • Transpose Tables
  • Paste Validations
Pivot Tables & Pivot Chart – Advance
  • Creating Simple & Classic Pivot table
  • Basic and Advanced Value Field Setting
  • Calculated Field & Calculated Items
  • Grouping based on numbers and Dates
Advanced Level Lookup Formulas
  • Vlookup with Match, Hlookup with Match.
  • Lookup from the Left,Mid & Right Side of Data. (Lookup, Index and Match)
  • Vlookup & Hlookup with Multiple Text Functions.
  • Creating Smooth user Interface Using lookup
Magic With Array Formulas:
  • What are the Array Formulas, Use of the Array Formulas?
  • Advanced Use of formulas with Array &Lookup functions.
Advanced Conditional Formatting and Filtering
  • Apply Auto-Formatting & Conditional Formatting with Custom Data Formats and Validation
  • Create custom conditional formatting rules
  • Create conditional formatting rules that use formulas
  • Manage conditional formatting rules
Define Named Ranges and Objects
  • Manage Name cells & Name data ranges
  • Name tables and Manage named ranges and objects.
Referencing Formulas
  • Absolute Referencing/ Relative Cell Referencing
  • Consolidating Data - With or Without Links
  • Trace the Precedents and Dependents
Adding Charts,Graphics to Worksheet
  • Work with Chart Styles,Layouts, Add Labels,Axis Options,Chart Title, Legends, Data-Labels
  • Insert & Modifying Pictures, Group and Ungroup Data
Collaboration With Internal Or External Worksheets
  • Manage Document Properties, Sharing a Workbook, Track Changes, Accept/Reject Changes,
  • Mark as Final , Setting Printing Area with Margins, Headers and Footers & Scaling.
  • AutoRecover Save Options, Save As Web Page & Protecting Workbooks
Formatting, Data linking and Proofing
  • Object Linking and Embedding & Hyper linking data, within sheet / workbook
  • Linking & Updating links between workbooks & application
  • Creating / Working with an Automatic / Manual Outline
Importing & Exporting Data
  • Importing & Exporting Data from Database / Text Files / Web
  • Changing External Data Range
Protecting Excel- Excel Security
  • File Level Protection
  • Workbook, Worksheet Protection

Preparation of the Dashboards
  • Different kinds of advanced-level dashboards
  • Use formulas like OFFSET, MATCH, SUMIF, SUMIFS & many more to prepare the dashboards
  • Use of Data Validation in charting
  • Use of Sparkline in your sheet, interactive sparklines
  • Working with 2-axis and 3-axis charts
Excel Dashboard - Planning & Processing
  • Planning a Dashboard
  • Adding Dynamic Contents to Dashboard
  • Adding Tables and Charts to Dashboard
Slicers and Charts
  • Using SLICERS, Filter data with Slicers
  • Various Charts i.e. Bar Charts / Pie Charts / Line Charts
  • Manage Primary and Secondary Axis
Complex Charting
  • Being able to choose the appropriate type of chart for every occasion
  • Being able to integrate many charts into one
  • Utilize tools like conditional formatting charts and in-cell charts.
  • Being able to create dynamic and interactive charts
Data Reporting with Pivot Tables
  • Evaluate vast volumes of data with the help of Pivot tables and Data Reporting
  • Relationships, multiple-table pivots, grouping, slicers, measures (Power Pivot)
Worksheet / Workbook Operations Using Macro
  • Merge & Split Worksheets using Macro & VBA filters
  • Worksheet copiers
  • Merge multiple excel files into one-sheet
Pivot Table and Handling Of Errors In Excel
  • Split Pivot from the Multiple Source of Data using Multiple Field Setting in Pivot Table.
  • Split Pivot from the Multiple Data Ranges & Name Range.
  • Creating Groups, Insert additional Calculated Field in Pivot Table.
Start-up with Pivot Charts With Slicer
  • Insert slicer in Pivot Table and Pivot charts.
  • Discussion of Errors and handling of multiple Errors & Use of Tool “Error Checking”.
  • Removing Duplicates.
  • Trace Precedents, Trace Dependents.
Data Analysis & Data Reporting
  • Managing Extracts ManagingMetadata Visua lAn.a lytics
  • Data Granularity using Marks Card
  • Highlighting
  • Sorting. Filtering. Grouping
Visual Analytics
  • Graphical Visualization
  • Forecasting Clustering Trend Lines.
  • Reference Lines. Parameters
Dashboard & Stories
  • Introduct on to Dashboard. Creatinga Dashboard Layout. DesigningDashboard for Devices.
  • Dashboard Interaction - Using Action.
  • Introduct on to Story Point.
Mapping & Publishing Report
  • Introduct on to Maps.
  • Editing Unrecognized Locations. Custom Geocoding.
  • Polygon Maps.
  • Web Mapping Services . Background Images
  • Sharing & Publishing Reports to BI Teams or Clients.

Introduction to MySQL
  • What is a database and why do we need SQL?
  • Create a link to Excel spreadsheet with MySQL
  • Client/Server Concepts
  • Database models & ER Model
Database and Database Objects
  • Import/Export
  • Tools for Import/Export Data
  • Restore database in SQL
  • A Data Generating Procedure
Data Definition using SQL
  • Databases
  • Data Types
  • Tables
  • Primary Keys
  • Null values and Not Null Values
  • Auto Increment
  • Basics Queries
  • Removing Duplicates
  • Data Filters Using Operators
  • Data Sorting
  • Constraints and Indexes
  • Views
Basic Data Manipulation using SQL
  • Recurring SQL Constructs
  • Adding data / Modifying data / Removing data / Searching data
Advanced Data Manipulation using SQL
  • Expressions for Grouping and Aggregate Functions
  • Joining Tables
Create Query
  • Use the WHERE clause
  • Conditional statements
  • Multiple conditions with Comparison Operators
  • Logic Values
  • Null Values
  • Compare Column Values
  • Advanced Queries
  • Distinct Values
Joins
  • Inner Join
  • Left Join
  • Full Outer Join
  • Filtering Grouped Data
  • Summarize Group Data
  • Pivot and Unpivot Operators
User Defined Functions
  • Functions vs Procedures
  • User-Defined Functions
MySQL Admin
  • Install and configure MySQL Server and client programs
  • Recognize the key components of the MySQL architecture
  • Secure your server
  • Improve query performance
  • Understand the benefits of MySQL Cloud

Installing & Configuring MySQL
  • Install and configure MySQL Server and client programs
  • Recognize the key components of the MySQL architecture
  • Secure your server
  • Improve query performance
  • Understand the benefits of MySQL Cloud
Working with Different Data Sources in Power BI
  • Importing from relational data sources and from databases
  • Importing from multi-dimensional data sources
  • Importing flat files from Excel and SQL Server
  • Importing Reports and data feeds from other data sources
Transforming & Enhancing the Data Model in Power Query Editor
  • Understanding Power Query Editor
  • Understanding Power Query elements & Viewing published models
  • Performing Row & Column operations
  • Understanding table & Create relationships between tables
  • Understanding data refresh Mode & Working with relationships Module
Analyzing Data & Implementing Dashboards
  • Understanding Power BI data analysis
  • Understanding Pivot Table, Power Pivot Field List & Pivot Chart in Power BI
Creating Reports & M Language Functions
  • Data Operation and Manage Functions Using Parameters with M Language
  • Understanding Slicers & Check Data quality
  • Handling metadata issues and Handling Errors
  • Working with dates, hierarchies, and perspectives
Data Analysis Expressions (DAX)
  • Understanding Data Analysis Expressions
  • Understanding row and filter context for Data Modeling
  • Creating and Applying DAX Expressions
Implementing Measures, Calculated Columns, and Tables
  • Understanding measures & Understanding measure functions
  • Implementing measures and KPIs
Working with Report View User Interface
  • Fields Pane, Visualizations pane, Ribbon, Views, Pages Tab, Canvas Visual
  • Interactions - Interaction Type (Filter, Highlight, None)
  • Visual Interactions Default Behavior, Changing the Interaction
Basic & Advanced Visualizations
  • Visualizing Data, Visualization types
  • Create and Format Charts: Bar, Pie, Donut Charts, Scatter Charts
  • Create and Format Table Visual, Matrix Visualization
  • Analyzing Data with Power View and Power Map
Power BI Service
  • Power BI Service Introduction, SIGN IN to Power BI Service Account
  • Publishing Reports & Dataset to the Power BI service
  • Import / Getting the Report to PBI Service & My Workspace
Interacting Dashboards Models
  • Pin Visuals and Pin LIVE Report Pages to Dashboard
  • Advantages of Dashboards, Interacting & Formatting with Dashboards
  • Formatting Dashboard
  • Sharing Dashboard with SharePoint Publishing

Working with Data Analysis Expression
  • data structures, Control & Conditional Statements
  • DAX concepts using objects and methods
  • Exception handling, Implementation of Pre-defined functions
  • DAX Expressions with date-time concepts
Data Filter & Data Slicing
  • String, Lists, Tuple, Dictionaries
  • Str Data Type | Indexing | Slicing | Built-in functions
  • Append - Extend - Insert - | Update and Delete Operations
  • Storing and Accessing the data in Operations
Introduction to Data Analysis in POWER BI - Understanding and Preprocessing
  • Knowledge domains of Data Analysis
  • Understanding structured and unstructured data
  • Data Analysis process, Dataset generation, Importing Dataset: Importing and Exporting Data
  • Basic Insights from Dataset
  • Cleaning and Preparing the Data: Identify and Handle Missing Values
Data Cleaning
  • Types of Missing Values
  • Imputing missing values with the business logic in a real-time scenario
  • Finding out & Handling outliers from the data
  • Introduction to Replace and Drop level Function
  • Data Cleaning on Big Dataset & Databases
Data Processing and Visualization
  • Data Formatting & Conditional Formatting
  • Exploratory Data Analysis
  • Filtering and hierarchical indexing
  • Data Visualization: Basic Visualization Tools, Specialized Visualization Tools
Creating and Plotting Visualization
  • Understanding and creating N-dimensional arrays
  • Basic indexing and slicing, Boolean indexing, Fancy indexing
  • Universal functions & File input and output with arrays
  • Data-Processing using arrays
Bookmarking
  • Applications of Probability in Real Time Databases
  • Use of Static & Normal bookmarking
  • Understanding of Referential Statistics Data
Publishing and sharing Data on Web Power BI App
  • Data Web scraping, Combining and merging data sets, Reshaping and pivoting
  • Publishing data online or Offline
Dashboard Model Development and Evaluation
  • Introduction to machine learning - Supervised and Unsupervised Learning
  • Model development using Linear Regression, Report Visualization
  • Prediction and Decision Making Dynamic Dashboard
  • Model Evaluation: Over-fitting, Under-fitting and Model Selection
  • Pin Dashboard & Generate Final Data view with Dataset

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Discover Your Language Learning Goals

Discover Your Language Learning Goals

Whether you’re learning for travel, work, or personal/ professional growth, we’ll help you identify your objectives and match you with the perfect language course to meet your goals.

Choose the Right language Course for You

Choose the Right language Course for You

From beginner basics to advanced fluency, we offer customized programs designed to suit your learning pace and style. Explore group classes, private lessons, or online options.

Learn with Experts and Advanced Tools

Learn with Experts and Advanced Tools

Experience interactive lessons led by certified instructors using cutting-edge techniques and technology. Our immersive approach ensures rapid progress and lasting confidence.

Practice, Progress, and Achieve Fluency

Practice, Progress, and Achieve Fluency

Engage in real-world practice, track your progress with regular assessments, and celebrate milestones as you master your chosen language. Success is within reach!

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Programming Languages: Java, Python, C++, .NET, and more. Data Science & Analytics: Machine Learning, AI, Big Data. Cloud Computing & DevOps: AWS, Azure, Docker, Kubernetes. Cybersecurity: Ethical Hacking, Network Security. Digital Marketing: SEO, Social Media, Content Marketing. Database Management: SQL, PL/SQL, MongoDB, Oracle.

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