Skip to content Skip to footer

Data Analytics Training in Madurai

Master Data Analytics Training in Madurai 

Immerse yourself in Data Analytics with Getin Technologies Data Analytics Training in Madurai, which includes SQL, Power BI, Advanced Excel, and Python. This training is designed for those who want to become proficient in key tools for data handling, analysis, and visualization. Students will learn the concepts of SQL for data retrieval, using Power BI for charts and dashboards, Advanced Excel for data operations, and prediction analytics through Python programming skills. In these courses, students will learn to work with time and weather data to graph and draw conclusions from the given data. In this Career oriented Program, join us to finish the career in data analytics along with their support and learning which is industry based at each level of the program. Come and make a career out of data analytics, with guided expertise and industry-relevant training at each milestone.

Skills You'll Learn

Languages/Tools Covered

SQL

Excel

Python

PowerBI

Our Key Features of Data Analytics Training in Madurai

Data Analytics Placement

Getin Technologies offers complete placement support for students in Data Analytics Training in Madurai. Tailored guidance in job opportunities and continuous help is provided to ensure you achieve your dream career in data analytics successfully.

Industry Expert Trainers

Learn from seasoned professionals in Data Analytics Training in Madurai to ensure you gain up-to-date knowledge combined with practical, relevant skills that align with current trends and industry requirements.

Real World Project

Gain hands-on experience in Data Analytics Training in Madurai by working on real-world projects, applying your skills in practical scenarios. This approach boosts your confidence and opens up greater career opportunities in the data analytics field.

Softskill Training

Our soft skills training helps you enhance communication, collaboration, and critical thinking abilities. It prepares you to stand out in interviews and empowers you to thrive and succeed in the workplace environment.

Dedicated Placement Cell

Access the best job opportunities through our placement team, working closely with industry leaders. From resume building to interview preparation and every step beyond, we provide continuous guidance to help you succeed in your career journey.

Mock Interview Session

Mock interviews at Getin Technologies are designed to boost your confidence and sharpen your interviewing skills. Receive expert feedback and prepare yourself to tackle any challenge with ease and professionalism.

Unlock exclusive savings on our courses with personalized coupon codes – contact us now to elevate your learning experience at a discounted Price! (Only Online Class)

   Contact No: +91 89258 31826

Data Analytics Training - College Students

Data Analytics Training - Year Gap and Experienced Module(2010 - 2022)

Data Analytics Training - Year Gap and Experienced Module(2010 - 2022)

Get Quote

Data Analytics Course Syllabus

Module 1 - SQL (10 Days)

Introduction

  • The Relational Model

Understanding Basic SQL Syntax

  • Basic SQL Commands – SELECT
  • Basic SQL Commands – INSERT
  • Basic SQL Commands – UPDATE
  • Basic SQL Commands – DELETE
  • Querying Data with the SELECT Statement
  •  The SELECT List
  • SELECT List Wildcard (*)
  • The FROM Clause
  • How to Constrain the Result Set
  • DISTINCT and NOT DISTINCT

Filtering results with Where Clause

  • WHERE Clause
  • Boolean Operators
  • The AND Keyword
  • The OR Keyword
  • Other Boolean Operators BETWEEN, LIKE, IN, IS, IS NOT

Shaping Results with ORDER BY and GROUP BY

  • ORDER BY
  • Set Functions
  • Set Function And Qualifiers
  • GROUP BY
  • HAVING clause

Matching Different Data Tables With JOINS

  • CROSS JOIN
  • INNER JOIN
  • OUTER JOINs
  • LEFT OUTER JOIN
  • RIGHT OUTER JOIN
  • FULL OUTER JOIN
  • SELF JOIN

Creating Database Table Stamp

  • CREATE DATABASE
  • CREATE TABLE
  • NULL Values
  • PRIMARY KEY
  • CONSTRAINT
  • ALTER TABLE
  • DROP TABLE

Module 2: PowerBI - (25 Days)

Introduction to Power BI:

  • Get Started with Power BI
  • Overview: Power BI data sources
  • Upload a local CSV file
  • Connect to Excel data

Power BI Desktop:

  • Overview of Power BI Desktop
  • Data Sources in Power BI Desktop
  • Connecting to a data Sources
  • Query Editor in Power BI
  • Query Ribbon
  • Clean and Transform your data with Query Editor
  • Combining Data – Merging and Appending
  • Cleaning irregularly formatted data
  • Views in Power BI Desktop
  • Modelling Data
  • Manage Data Relationship
  • Template Apps
  • Cross Filter Direction
  • Create calculated tables and measures

Viz and Tiles:

  • Overview: Visualizations
  • Create a new report using Visualization
  • Format a visualization
  • Create chart visualizations
  • Use text, map, and gauge visualizations and save a report
  • Use a slicer to filter visualizations
  • Sort, copy, and paste visualizations
  • Download and use a custom visual from the gallery

Reports and Dashboards:

  • Modify and Print a Report
  • Rename and delete report pages
  • Add a filter to a page or report
  • Set visualization interactions
  • Print a report page
  • Send a report to PowerPoint
  • Create a Dashboard
  • Create and manage dashboards
  • Pin a report tile to a dashboard
  • Pin a live report page to a dashboard
  • Pin a tile from another dashboard
  • Pin an Excel element to a dashboard
  • Manage pinned elements in Excel
  • Add a tile to a dashboard
  • Build a dashboard with Quick Insights
  • Set a Featured (default) dashboard
  • Ask Questions about Your Data
  • Ask a question with Power BI Q&A
  • Tweak your dataset for Q&A
  • Enable Cortana for Power BI

Publishing Workbooks and Workspace:

  • Share Data with Colleagues and Others
  • Publish a report to the web
  • Manage published reports
  • Share a dashboard
  • Create an app workspace and add users
  • Use an app workspace
  • Publish an app
  • Create a QR code to share a tile
  • Embed a report in SharePoint Online

DAX functions:

  • New Dax functions
  • Date and time functions
  • Time intelligence functions
  • Filter functions
  • Information functions
  • Logical functions
  • Math-trig functions
  • Parent and child functions
  • Text functions

Power Query: Text Functions

  • Text Functions
  • Merge Columns
  • Split and Trim
  • Upper, Lower and ProperCase
  • Prefix and Suffix
  • Left, Right and Mid Functions
  • Extract Text with Delimiters

Power Query: Date Functions

  • Date Functions
  • Year, Quarter, Month and Day Functions
  • Find Difference between Dates
  • Month and Day Name
  • Day, Week of Month, Year
  • Extract Date, Time in Power Query
  • Calculate Age in Power Query
  • Day of Year, Quarter, Month in Power Query

Power Query: Number Functions

  • Number Functions
  • Basic Number Functions in Power Query
  • Percentage, Percent Of, Module
  • Round Functions
  • IsEven, IsODD, Sign in Power Query

Power Query: Append Files

  • Append Multiple CSV Files in a Folder
  • Append Multiple Excel Sheets, Tables
  • Append Excel Sheets or Tables with Different Columns
  • Append Multiple Excel Files from a Folder
  • Append Different Data Sources

Power Query: Merge Files

  • Merge Files and Tables
  • Merge Sheets or Tables
  • Merge Data from Multiple Excel Files or Workbooks
  • Merge Data from Different Data Sources
  • Merge Data having Multiple Criteria in Power BI

Power Query: Conditional Columns

  • Conditional Column and Column from Example in Power BI
  • Column from Examples – Split Text
  • Column from Examples – Merge Columns
  • Column from Examples – Date
  • Column from Examples – Alphanumeric
  • Conditional Column – One Column
  • Conditional Column – Two columns
  • Conditional Column – Compare two columns
  • Conditional Column – on Dates
  • Fill Down in Power BI
  • Grouping
  • Transpose
  • Unpivot
  • Data Types
  • Replace Errors and Values
  • Keep and Remove Rows
  • Add, Remove and Goto Columns

Module 3 - Excel (10 Days)

  • Using Functions – Sum, Average, Max,Min, Count, Counta
  • Applying Absolute (Fixed) Referencing

Mathematical Functions:

  • SumIf, SumIfs
  • CountIf, CountIfs
  • AverageIf, AverageIfs
  • SumProduct, Subtotal

LookUp Functions:

  • Vlookup / HLookup
  • Match
  • Dynamic Two Way Lookup
  • Creating Smooth User Interface Using Lookup
  • Offset
  • Index
  • Dynamic Worksheet linking using Indirect

Text Functions:

  • Upper, Lower, Proper
  • Left, Mid, Right
  • Trim, Len
  • Concatenate
  • Find, Substitute

Sorting:

  • Sorting on Multiple Fields
  • Dynamic Sorting of Fields
  • Bring Back to Ground Zero after Multiple Sorts

Filtering:

  • Filtering on Text, Numbers & Date
  • Filtering on Colors
  • Copy Paste while filter is on
  • Advanced Filters
  • Custom AutoFilter

Import & Export Of Information:

  • From Web Page
  • Exporting to XML
  • Creating Dynamic Dashboards and Reports Using Data on Other Applications
  • Using Text To Columns

Data Validation:

  • Number, Date & Time Validation
  • Text Validation
  • List Validation
  • Handling Invalid Inputs
  • Dynamic Dropdown List Creation using Data Validation

Pivot Tables:

  • Creating Simple Pivot Tables
  • Basic and Advanced Value Field Setting
  • Sorting based on Labels and Values
  • Filtering based on Labels and Values
  • Grouping based on numbers and Dates
  • Drill-Down of Data
  • GetPivotData Function
  • Calculated Field & Calculated Items

Charts & Pivot Charts:

  • Bar Charts / Pie Charts / Line Charts
  • Dual Axis Charts
  • Dynamic Charting
  • Other Advanced Charting Techniques

Excel Dashboard:

  • Bar Charts / Pie Charts / Line Charts
  • Planning a Dashboard
  • Adding Tables to Dashboard
  • Adding Charts to Dashboard
  • Adding Dynamic Contents to Dashboard

Module 4 - Python for Data Analytics(15 Days)

Introduction to Python

  • What are Python and the history of Python?
  • Unique features of Python
  • Python-2 and Python-3 differences
  • Install Python and Environment Setup
  • First Python Program
  • Python Identifiers, Keywords, and Indentation
  • Comments and document interlude in Python
  • Command-line arguments
  • Getting User Input
  • Python Data Types
  • What are the variables?
  • Python Core objects and Functions
  • Math Module

Control Statements

  • If
  • If-elif-else
  • while loop
  • for loop
  • Break
  • Continue
  • Assert
  • Pass
  • return

List, Ranges & Tuples in Python

  • Introduction
  • Lists in Python
  • Generators and Yield
  • Generators Comprehensions and Lambda Expressions
  • Next() and Range()
  • Understanding and using Range

Python Dictionaries and Sets

  • Introduction to the section
  • Python Dictionaries
  • More on Dictionaries
  • Sets
  • Python Sets Examples

Input and Output in Python

  • Reading and writing text files
  • Writing Text Files
  • Appending to Files and Challenge
  • Writing Binary Files Manually

Python built-in function

  • Python Modules & Packages
  • Python User defined functions
  • Defining and calling Function
  • The anonymous Function

Introduction to Data Analytics with Python

  • Overview of Data Analytics and its applications
  • Python basics for data analytics
  • Introduction to Jupyter Notebook for code and data visualization
  • Setting up the Python environment and installing key libraries

Data Handling with Pandas

  • Introduction to Pandas: Series, DataFrames, and Data Structures
  • Importing, exporting, and handling data with Pandas
  • Data cleaning: handling missing data, duplicates, and data transformations
  • Data aggregation, grouping, and summarization
  • Merging and joining datasets

Numerical Computation with NumPy

  • Introduction to NumPy and its importance in data analytics
  • Working with arrays, array indexing, and slicing
  • Mathematical operations with NumPy
  • Array manipulations and reshaping
  • Random number generation for data simulation

Data Visualization with Matplotlib

  • Introduction to Matplotlib for basic plotting
  • Customizing charts (labels, colors, styles)
  • Plot types: line, bar, scatter, histogram, etc.

If you want to Customize the Course Syllabus for Data Analytics course, Call us to    +91 8925831826

If you want to Group Discount for Data Analytics course, Call us to    +91 8925831826

Training methodology

Salesforce Training in Nagercoil

Who Can get Placements through Data Analytics Course ?

Year Gap (2010 - 2022 Passout)

Eligible: BE, ME, BTech, MTech BSC, BCom, BA, BCA, MBA, MSC, MCA, BBA, MCom

Not Eligible: Diploma

Experienced

Share your resume to Our WhatsApp +91 8925831826. Our Placement Team will Validate your Profile and get back to you shortly.

Our Realtime Projects in Data Analytics Training in Madurai

Sales and Inventory Analysis

​At Getin Technologies, our Data Analytics Training in Madurai includes a comprehensive real-time project focused on Sales and Inventory Analysis. This hands-on experience is designed to equip you with practical skills in data handling, analysis, and visualization, essential for optimizing inventory management and boosting sales in retail or e-commerce businesses.

Weather Data Analysis

​At Getin Technologies, our Data Analytics Training in Madurai includes a comprehensive real-time project focused on analyzing historical weather data. This project is designed to equip you with practical skills in data handling, analysis, and visualization, essential for understanding long-term climate trends and evaluating weather forecast accuracy.

HealthCare Data Analysis

At Getin Technologies, our Data Analytics Training in Madurai includes a comprehensive real-time project focused on Healthcare Data Analysis. This project is designed to equip you with practical skills in data handling, analysis, and visualization, essential for understanding patient outcomes and treatment effectiveness.​

Our Placements in Data Analytics

At Getin Technologies, your success is our priority. We’ve helped hundreds of learners kickstart their careers in the Digital Analytics field, and we’re just getting started. With over 85% placement success and strong partnerships with leading IT companies, our students are excelling in roles like Digital Analyst, Data Consultant, Web Analytics Specialist, and Marketing Data Analyst.

2cut
1cut

School Student Offer

offer30% Offer for School Students from Total Course Fees.

1. Bring Valid School ID Card while Admission.

2. 6th – 12th Std can enroll this course.

3. Terms and conditions apply.

College Student Offer

Offer20% Offer for College Students from Total Course Fees.

1. Bring Valid College ID Card while Admission.

2. All Stream (Arts & Engineering) students can use this offer.

3. Terms and conditions apply.

Disabled Student Offer

offer

50% Offer for Disabled Students from Total Course Fees.

1.Bring Govt Approved Disabled Person ID Card while come to admission.

2. Terms and Conditions Apply.

Tirunelveli Branch (+91 8925831826): Data Analytics Training in Tirunelveli

Virudhunagar Branch (+91 8925831828): Data Analytics Training in Virudhunagar

Why Learn Data Analytics?

In today’s data-driven world, understanding Data Analytics is essential for anyone who wants to support or challenge decisions and extract meaningful value across various sectors. Here are some key reasons why pursuing Data Analytics is a smart choice:

  • High Demand for Data Analysts: The demand for data analysts is rising across industries like finance, healthcare, marketing, and IT. With most organizations becoming data-driven, there is a significant need for skilled professionals to interpret data and provide actionable insights.
  • An Added Value to Any Career: Data analytics skills are highly valued and not easily acquired, making you stand out from the crowd. These skills are crucial for driving organizational change and making data-backed decisions, adding substantial value to any role.
  • Improved Decision-Making: With effective data management, both individuals and organizations can make informed decisions based on facts, not guesswork. This leads to more accurate forecasts, trend spotting, and better planning for future success.
  • Detecting Trends and Patterns: Data analytics helps businesses uncover hidden patterns and trends that are essential for growth, improving customer service, and refining processes. Knowing how to manage and interpret data is a valuable skill in any career.
  • Plenty of Career Opportunities: Data analytics offers a wide range of career paths, from data analyst and data scientist to business intelligence analyst. It also opens doors to advanced fields like machine learning, artificial intelligence, and big data, further boosting your career prospects.

By mastering Data Analytics Training in Madurai , you gain the ability to transform raw data into valuable insights, making better decisions, creating job opportunities, and contributing to success across different industries.

Our Students Placed Companies