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Data Analytics Rays

Data Analytics

In today's data-driven world, the ability to analyze and interpret data is crucial. Our Data Analytics Course is designed to provide you with the skills and knowledge needed to transform raw data into actionable insights. Whether you're a beginner or looking to enhance your existing skills, this course will equip you with the tools necessary to thrive in the field of data analytics.

Course Name Date & Time Take Demos
Core Java 03/06/2024 View Details
User Interface(UI) 03/06/2024 View Details
React.js Starting Soon... View Details
MySQL Starting Soon... View Details
ADCAT Starting Soon... View Details

What You Will Learn:

  • Introduction to Data Analytics:
    • Understanding the role and importance of data analytics in various industries.
    • Overview of the data analytics lifecycle.
  • Data Collection and Cleaning:
    • Techniques for data collection from various sources.
    • Methods for cleaning and preparing data for analysis.
  • Exploratory Data Analysis:
    • Using statistical methods to explore and summarize data.
    • Visualizing data through charts and graphs to identify patterns and trends.
  • Data Visualization:
    • Creating compelling visual stories using tools like Tableau, Power BI, and Excel.
    • Best practices for effective data visualization.
  • Statistical Analysis:
    • Applying descriptive and inferential statistics.
    • Understanding probability distributions, hypothesis testing, and regression analysis.
  • Advanced Analytics Techniques:
    • Introduction to machine learning algorithms and predictive modeling.
    • Hands-on experience with tools such as Python and R for advanced data analysis.
  • Data-Driven Decision Making:
    • Translating data insights into strategic business decisions.
    • Real-world case studies and practical applications.

Course Features:

  • Expert Instructors: Learn from industry experts with years of experience in data analytics.
  • Hands-On Projects: Apply your knowledge to real-world projects and build a strong portfolio.
  • Interactive Learning: Engage with interactive content, quizzes, and peer discussions.
  • Flexible Learning: Access course materials anytime, anywhere with our online platform.
  • Certification: Earn a certificate upon completion to showcase your skills to employers.


  • Life time validity (enroll one time and revise many times)
  • Interaction with the best faculty and Industry Experts
  • Small Batches to focus on each student
  • We focus on both theoretical and practical approaches in a parallel way.
  • You will be given the opportunity to work on a live project.
  • Outdoor activities to boost your confidence.
  • Presentation in class by the students.

Our Key Features:

  • Good Quality Material Notes
  • Smart Classes Available
  • Online Test
  • Chapter wise Assignments
  • Offline And Online Classes
  • Recorded class on Rays App
  • Eminent faculties of the IT Industry( Amazon, Wal-Mart, Oracle, Microsoft..)
  • Fully AC and Wi-Fi Campus.

Python & Libraries

  • Variables
  • Data types
  • Operators
  • if statements
  • Loops
  • String
  • Lists, Tuples
  • Dictionaries
  • Sets
  • Conditional expressions
  • Modules
  • Functions
  • File handling
  • Object Oriented Concept
  • Exception Handling
  • GUI Progragramming in Python
  • 5 Mini Projects

  • Introduction to Pandas
  • Series and DataFrames
  • Data Exploration
  • Data Manipulation
  • Data Cleaning
  • Grouping and Aggregation
  • Data Visualization with Pandas
  • Time Series Data
  • Handling Categorical Data
  • Reading and writing data to various file formats: CSV, Excel, JSON,SQL Database

  • Introduction to Matplotlib
  • Basic Plotting with Matplotlib
  • Different Types of Plots
  • Advanced Plot Customization
  • 3D Plotting
  • Working with Images
  • Animations
  • Integration with Pandas and NumPy

BI Tools (Power BI)

  • Overview of Power BI and its components
  • Installation and setup
  • Understanding the Power BI ecosystem
  • Importing data into Power BI

  • Introduction to Microsoft power BI Desktop
  • Downloading the Microsoft Power BI Desktop
  • Power BI Desktop interface and workflow

  • Power BI Front-End vs. Back-End
  • Types of Data Connectors
  • The Power Query Editor
  • Basic Table Transformations
  • Connecting to a Database
  • Extracting Data from the Web
  • Profiling Tools (Text Tools, Numerical Tools, Date & Time Tools)
  • Change Type with Locale
  • Index, Conditional Columns and Calculated Column
  • Grouping & Aggregating
  • Pivoting & Unpivoting
  • Queries (Merging, appending, refreshing)
  • Data Source Settings
  • Importing Excel model

  • Data Modeling
  • Database Normalization
  • Fact & Dimension tables
  • Primary & Foreign Keys
  • Relationships vs. Merged Tables
  • Creating, managing & editing Table Relationships
  • Star & Snowflake Schemas
  • Connecting Multiple Fact Tables
  • Filter Context & Filter Flow
  • Model Layouts
  • Data Formats & Categories
  • Creating Hierarchies

  • Data Analysis Expressions
  • DAX vs. M Languages
  • Intro to DAX Calculated Columns
  • Intro to DAX Measures
  • Implicit vs. Explicit Measures
  • Types of Measures (Quick Measures, Dedicated Measure Tables)
  • Understanding Filter Context
  • DAX Syntax & Operators
  • Joining Data with RELATED
  • DAX Measure Totals
  • Time Intelligence Patterns
  • Common DAX Function Categories: Basic Math & Stats Functions, Counting Functions, Conditional & Logical Functions, The SWITCH Function, Common Text Functions, Basic Date & Time Functions, Calculate Function, All Function, Filter Function, Iterator Function

  • Dashboard Design Framework
  • Sketching the dashboard layout
  • Adding Report Pages & Objects
  • Naming & Grouping Objects
  • Cards (Multi-Row cards, KPI Cards, Top N Text Cards)
  • Charts (Building Charts, Formatting Charts, Line Charts, Bar & Donut, Gauge Charts, Area Charts)
  • Trend Lines & Forecasts
  • Visuals (Table Visuals, Matrix Visuals, Map visuals, Importing Custom Visuals)
  • Filterting (Basic Filtering Options, Top N Filtering)
  • Formatting (Conditional formatting, Advanced Conditional Formatting)
  • Parameters (Numeric Range Parameters, Fields Parameters)
  • Slicers (Report Slicers, Slicer Panels)
  • Drill Up & Drill Down
  • Editing Report Interactions
  • Adding Bookmarks
  • Custom Navigation Buttons
  • Managing & Viewing Roles
  • Mobile Layouts

  • The Optimize Ribbon
  • Pausing Visuals
  • Optimization Presets
  • Applying All Slicers
  • Performance Analyzer
  • External Tools
  • Troubleshooting common issues in Power BI

  • Hands-on projects using real-world datasets
  • Analyzing and visualizing data to derive actionable insights
  • Presenting analysis findings effectively


  • Introduction to MySQL
  • Basic MySQL syntax
  • Schema Design Methodology
  • Create / Select / Drop / Copy of Database
  • Create Table
  • Constraints in MySQL
  • Alter Table
  • Insert / Select / Delete / Update Records
  • Rollback, Commit and Grant

Maths & Statistics

  • Arithmetic
  • Weighted average
  • Cumulative sum
  • Percentile

  • Descriptive vs Inferential statistics
  • Continuous vs Discrete data
  • Nominal vs Ordinal data
  • Mean, Median and Mode
  • Standard Deviation and Variance
  • Hypothesis testing: T-test, Paired T-test, p-value, F-Test, z-test


  • SUM
  • MEAN

  • Remove duplicates and conditional formatting

  • Charts, filters, sort and slicers
  • Pivot tables and pivot charts

Control Version

  • Intro to VCS
  • Types of VCS
  • What is Git, GitHub
  • Git Installation
  • Configuring Git
  • Connecting Git with GitHub
  • Basic Git & GitHub Workflow
  • Git Branching & Merging
  • Git Clone
  • Resolve Merge Conflict
  • How to setup & upload Project on GitHub
  • How to PUSH & Pull Project

Soft Skills

  • Communication skill
  • Analytical skill
  • Problem solving skill
  • Story telling
  • Business understanding

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