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Courses We Offer

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Power Automate

    • Duration: 10 Hours + Placement Training
    • Fees: $395
    • tick Mode: ONLINE, LIVE, INSTRUCTOR-LED.
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Power Apps

    • tick Duration: 15 Hours + Placement Training
    • tick Fees: $495
    • tick Mode: ONLINE, LIVE, INSTRUCTOR-LED.
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SQL

    • tick Duration: 15 Hours + Placement Training
    • tick Fees: $495
    • tick Mode: ONLINE, LIVE, INSTRUCTOR-LED.
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TABLEAU

    • tick Duration: 15 Hours + Placement Training
    • tick Fees: $495
    • tick Mode: ONLINE, LIVE, INSTRUCTOR-LED.
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POWER BI

    • tick Duration: 15 Hours + Placement Training
    • tick Fees: $495
    • tick Mode: ONLINE, LIVE, INSTRUCTOR-LED.
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PYTHON

    • tick Duration: 20 Hours + Placement Training
    • tick Fees: $550
    • tick Mode: ONLINE, LIVE, INSTRUCTOR-LED.
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COMBO 1

Tableau +

    • tick TABLEAU + TABLEAU SERVER + SQL + PYTHON
    • tick Duration: 50 Hours + Placement Training
    • tick Fees: $1295
    • tick Mode: ONLINE, LIVE, INSTRUCTOR-LED.
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COMBO 2

Power BI +

    • tick POWER BI + POWER BI SERVICE + SQL + PYTHON
    • tick Duration: 50 Hours + Placement Training
    • tick Fees: $1295
    • tick Mode: ONLINE, LIVE, INSTRUCTOR-LED.
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COMBO 3 -Recommended

Tableau + Power BI

    • tick TABLEAU + TABLEAU SERVER + POWER BI + POWER BI SERVICE +SQL
    • tick Duration: 55 Hours + Placement Training
    • tick Fees: $1295
    • tick Mode: ONLINE, LIVE, INSTRUCTOR-LED.
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COMBO 4 - Recommended

Data Analytics Master Course 1

    • tick POWER BI + POWER BI SERVICE + POWER APPS + POWER AUTOMATE + SQL
    • tick Duration: 55 Hours + Placement Training
    • tick Fees: $1695
    • tick Mode: ONLINE, LIVE, INSTRUCTOR-LED.
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COMBO 5

Data Analytics Master Course 2

    • tick POWER BI + POWER BI SERVICE + POWER APPS + POWER AUTOMATE + SQL + TABLEAU + TABLEAU SERVER + PYTHON
    • tick Duration: 90 Hours + Placement Training
    • tick Fees: $1995
    • tick Mode: ONLINE, LIVE, INSTRUCTOR-LED.
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Course Syllabus

Data Analytics

Power Automate Syllabus

  • 1. Creating Automatic Email to Gmail Account along with an attachment Stored in OneDrive
  • 2. Creating Automatic New Group using Forms
  • 3. Creating Automatic Mails for Birthday and Wedding Wishes
  • 4. Creating Power BI Alert Notification to Microsoft Teams, Outlook
  • 5. Refreshing Dataset
  • 6. Support Team In case of Some Issues or Errors.

Data Analytics

Power Apps Syllabus

  • 1. Introduction
  • 2. Installation
  • 3. Get Started with Developer Environment
  • 4. Variables
  • 5. Collections (Creating, Accessing, Manipulating, Iterating, Clearing)
  • 6. Creating Automatic Mails for Birthday and Components
    • tick Canvas Apps
    • tick Model-Driven Apps
    • tick Data Sources
    • tick Controls
    • tick Expressions
    • tick Screens
    • tick Data Integration
  • 7. Dynamic Assignment
    • tick Using Formulas, Variables, Collections, Contextual Information, Controls and Properties
    • tick Responding to user Interactions
  • 8. Functions (Data, Control, Math, Text, Logical, Date and Time, Input and Interaction)
  • 9. Formulas (onselect, onclick, upper, lower, proper, launch, navigation)
  • 10. Creating Canvas App Using SQL & SharePoint
  • 11. Data Validation Using SQL & SharePoint
  • 12. Creating App using forms and gallery
  • 13. Creating CRUD operation (Create, Read, Update, Delete)
  • 14. Creating Cascading Dropdown
  • 15. Integrating Power BI with Power Apps
  • tick Creating Power BI Report
  • tick Publish the Report to Power BI Service
  • tick Generate Embed Code
  • tick Embed Power Bi Report in Power Apps
  • tick Configure Interactivity
  • tick Test and Publish

Data Analytics

SQL Syllabus

  • 1. Introduction
  • 2. Installation
  • 3. Creating Database and Tables
  • 4. Data Types
  • 5. Operators
  • 6. Case Manipulation Functions (Upper (), Lower (),
    INITCAP ())
  • 7. Character manipulation functions (Substring (), Concat (), Len(), Trim(), Replace() )
  • 8. Functions (Date, Null, Number, General)
  • 9. Aggregate /Group Functions (Count (), Sum(), AVG(),MIN(),MAX(),Group By, Having)
  • 10. Analytical Functions
  • 11. Commands (Date Definition, Data Manipulation, Transaction control, Data Query Language Commands)
  • 12. Joins (INNER, LEFT, RIGHT, FULL, CROSS)
  • 13. Constraints (NOT NULL, PRIMARY, UNIQUE, FOREIGN, DEFAULT, INDEX, CHECK)
  • 14. Set Operators (Union, Union All, Minus, Intersect)
  • 15. View and Materialized view
  • 16. Sub-Queries
  • 17. Pseudo Columns (ROWID, ROWNUM, LEVEL, CONNECT_BY_ISLEAF, SYS_GUID ())

Data Analytics

Tableau Syllabus

  • 1. Tableau Interface Demo, Products, Desktop
  • 2. Data Types in Tableau
  • 3. Types of Connections
  • 4. Dimensions & Measures
  • 5. Discrete & Continuous
  • 6. Tableau File Extensions
  • 7. Groups, Combine, Set, Parameter, Combined Set, Hierarchy
  • 8. Filters:
  • tick Data Source, Extract, Dimension, Measure, Cascading, Context
  • 9. Functions:
  • tick Number, Aggregate, Logical, String, Table Calculations, Window, Date, Quick Table Calculation, Null, Analytics
  • 10. LOD-Level of Details, Bins
  • 11. Types Of Axis, Charts
  • 12. Maps Filters
  • 13. Dashboards
  • tick Basic & Advanced Dashboard Preparation
  • 14. Dashboard Actions
  • 15. Data Modelling, Relationship, Data Blending
  • 16. Joining: Cross Data Base Join
  • 17. Tableau Server/ Online
  • 18. Embedded & Published Data Source
  • 19. Different Site Roles & User Controls
  • 20. RLS (Row Level Security) Alert, Subscription, Metrics Empty Extract

Data Analytics

Power BI Syllabus

  • 1. Introduction
  • 2. Installation
  • 3. Data Types
  • 4. Power Query Editor
    • tick Data Source Connectivity (Getting or importing data from various source like Files and databases)
    • tick Data Transformation (Renaming Columns, Changing Data types, Removing Duplicates, Filtering, Sorting and Merging, Pivoting and unpivoting data)
    • tick Error Handling
    • tick Data Loading
  • 5. Data Modeling
  • 6. DAX Functions
    • tick Aggregation Function: Sum, Average, Count
    • tick Data and Time Function: Today, Year, DateAdd
    • tick Logical Function: If, AND, OR, NOT
    • tick Filter Function: Filter, All
    • tick Statistical Function: Max, Min, Median
    • tick Text Function: Concatenate, Left, Right, Mid
    • tick Information Function: ColumnName, Columns, DataTable, ISBLANK, ISCOLUMN, ISERROR, ISEMPTY)
    • tick Time Intelligence Function
  • 7. Power BI Visualization
    • tick Dashboards
    • tick Formatting
  • 8. Power BI Service
    • tick Publishing Reports
    • tick Dashboard Creation
    • tick Data Gateway
    • tick Row-Level Security
    • tick Formatting

Data Analytics

Python Syllabus

  • 1. Introduction
  • 2. Installation (Python, Anaconda and Jupyter Notebook)
  • 3. Compilation Vs Interpretation
  • 4. First Basic Program (“Hello World”)
  • 5. Variables
  • 6. Data Types
  • 7. Operators
  • 8. Function And Methods
  • 9. Conditional Statements (if, if-else, elif)
  • 10. Loops (while, For)
  • 11. Data Structure (List, Tuple, Set, Dictionary)
  • 12. Iteration Tools (Map, Filter)
  • 13. Regular Expressions
  • 14. Packages, Modules and PIP
  • 15. Exceptions
  • 16. OOPS
    • tick Classes And Objects
    • tick Constructor
    • tick Attributes and Methods
    • tick Inheritance
    • tick Encapsulation
    • tick Polymorphism
  • 17. Anonymous Function (Lambda)
  • 18. Python Libraries (NumPy, Pandas, Matplotlib)
  • 19. Generators And Closures

Tailored schedules: Day, evening, and weekend classes

Data Analytics Batch Details

  • Date
    Course
    AWST
    EST
    Status
    Booking
  • Sat 15 Jun 24
    Data Analytics Master 1
    AWST
    EST
    Confirmed
    Book Now
  • Sun 16 Jun 24
    Data Analytics Master 2
    AWST
    EST
    Confirmed
    Book Now
  • Mon 17 Jun 24
    Power BI
    AWST
    EST
    Confirmed
    Book Now
  • Tue 18 Jun 24
    Python
    AWST
    EST
    Confirmed
    Book Now
  • Fri 19 Jun 24
    Power Automation
    AWST
    EST
    Confirmed
    Book Now

Disclaimer: "Please note that this course provides training to prepare for the Cloud Computing certification. The certification exam is not included and must be completed separately through an accredited certification body."

Frequently AskedQuestions

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What are the basics required to learn DATA ANALYTICS?

There are no prerequisites for taking the online Data Analytics course. Basic knowledge of data analysis, statistics, and probability are beneficial to take Data Analytics online courses.

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DATA ANALYTICS Platform Certification Training Program Reviews

DATA ANALYTICS Platform Certification Training Program Reviews

Insights from our Empowered Alumni

Green's Technology offered an outstanding Data Science course. The instructors were highly knowledgeable, simplifying complex concepts effectively. Engaging in hands-on projects greatly enhanced my confidence. I received exceptional support from the mentor, Godwin. I wholeheartedly recommend it to anyone eager to explore Data Science!.....

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Shashikala Maurya

Enrolling in Greens technology web development course was a decision I don't regret. The curriculum was comprehensive, covering essential topics like HTML, CSS, JavaScript, and GitHub. Building my own website was a satisfying conclusion to the course. This experience has equipped me with the skills and confidence for a future in web development.

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Rggdharan Dharan

I usually don't write reviews. I chose Greens Technologies through a friend. I Attended DevOps and AWS courses at Greens Technology.The trainer was exceptionally helpful in clarifying concepts, making it the best training center. The emphasis on practical, live projects rather than just theory was commendable. Highly recommended.

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nandhini 26

I took courses in Networking and Azure SQL Database. My instructor, Dhivakar, was really knowledgeable and the best. He kept the class interested and made sure we understood everything in each module. I want to thank Dhivakar for his great support during the learning process.

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Kym S

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