Skip to content Skip to footer

Data Analytics Training in Tirunelveli

Data Analytics Training in Tirunelveli – Getin Technologies

Getin Technologies Data Analytics Training in Tirunelveli – where you will learn the strategies of utilizing the data business wise. If you are new to analytical jobs or are earnestly interested in learning data analysis, this course covers the techniques for data collection, data analysis, usage of visuals in the data and interpretation of the results. Learn all the basic tools like Python, Excel, SQL or Tableau under leading industry professionals to help you in making the data decision. Suitable for complete novices as well as advanced practitioners, this program combines theoretical learning with practical approach that offers knowledge which is applicable when one ventures into the field of data analytics which is a very fast emerging sector. Your data insights are guaranteed to produce effective results after taking this course. Sign up with us!

What is Data Analytics?

Data analytics is the process of examining, cleaning, transforming, and modeling data to extract meaningful insights, draw conclusions, and support decision-making. It involves the use of various techniques and tools to analyze large sets of data, uncover patterns, trends, correlations, and other relevant information. The primary goal of data analytics is to turn raw data into actionable knowledge that can be used to inform business strategies, improve processes, and make informed decisions. Data analytics plays a crucial role in various industries, including business, finance, healthcare, marketing, and more. It relies on a combination of statistical analysis, machine learning, and data visualization techniques to make sense of the vast amounts of data generated in today’s digital age. Getin Technologies Data Analytics Training in Tirunelveli equips individuals with the knowledge and practical skills necessary to navigate the world of big data and make strategic, data-driven decisions in diverse industries such as business, healthcare, finance, and more.

Let your journey to mastery begin here, where data meets destiny! Join Getin Technologies for a transformative data analytics training experience in Tirunelveli.

Skills You'll Learn

Languages/Tools Covered

SQL

Excel

Python

PowerBI

Our Key Features of Data Analytics Training in Tirunelveli

Data Analytics Placement

Dedicated placement support is provided to the students at Getin Technologies. Personalized assistance in job referrals along with necessary support is done for your dream job at Getin Technologies.

Industry Expert Trainers

Learn from the most seasoned professionals in the industry and, therefore, ensure that you receive the up-to-date knowledge along with relevant skills.

Real World Project

Take hands-on experience through working on real-world projects which help in applying your skills in practical situations. There will be an increase in career opportunities for you.

Softskill Training

Our soft skills training will allow you also to improve your communication, collaboration, and critical thinking. It lets you prepare and shine in interviews and excel in the workplace as well.

Dedicated Placement Cell

Best possible job opportunities through the placement team working in collaboration with leaders of the various industries. From resume building to interviews and all steps ahead, we keep guiding you.

Mock Interview Session

Mock interviews at Getin Technologies are designed to boost your confidence and hone your interviewing skills. Get expert feedback and be ready for any challenge.

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)

Call Now: +91 89258 31826

Data Analytics Training - Module 1

image581

Data Analytics - Module 2

image582

Data Analytics Course Syllabus

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

Introduction to Power BI:

  • Get Started with Power BI
  • Overview: Power BI concepts
  • Sign up for Power BI
  • Overview: Power BI data sources
  • Connect to a SaaS solution
  • Upload a local CSV file
  • Connect to Excel data that can be refreshed
  • Connect to a sample
  • Create a Report with Visualizations
  • Explore the Power BI portal

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
  • Automatic Relationship Updates
  • Template Apps
  • Cross Filter Direction
  • Create calculated tables and measures
  • Optimizing Data Models
  • PBIDS Files

Viz and Tiles:

  • Overview: Visualizations
  • Using visualizations
  • Create a new report
  • Create and arrange visualizations
  • 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

Other Power BI Components and Table Relationship:

  • Use Power BI Mobile Apps
  • Get Power BI for mobile
  • View reports and dashboards in the iPad app
  • Use workspaces in the mobile app
  • Sharing from Power BI Mobile
  • Use Power BI Desktop
  • Install and launch Power BI Desktop
  • Get data
  • Reduce data
  • Transform data
  • Relate tables
  • Get Power BI Desktop data with the Power BI service
  • Export a report from Power BI service to Desktop

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

Power Query: Important Topics

  • Fill Down in Power BI
  • Grouping
  • Transpose
  • Unpivot
  • Data Types
  • Replace Errors and Values
  • Keep and Remove Rows
  • Add, Remove and Goto Columns

Excel Introduction:

  • A overview of the screen, navigation and basic spreadsheet concepts
  • Understanding workbooks, worksheets, rows, columns, cells
  • Various selection techniques

Entering Data:

  • Entering, Editing and Deleting Text, Numbers, Dates
  • Using Auto Lists
  • Moving and Copying data
  • Inserting, Deleting and Hiding Rows & Columns
  • Inserting, Deleting, Moving and Copying Sheets
  • Using navigation techniques

Customizing Excel:

  • Customizing the Ribbon
  • Customizing the Quick Access Toolbar
  • Using and Customizing AutoCorrect
  • Changing Excel’s Default Options
  • Creating a Custom AutoFill List
  • Creating a Custom Number Format
  • Customizing Excel Review

Creating And Editing Formulae:

  • Concept of Formulae
  • Creating Formulae, Editing Formulae
  • Bodmas : Mathematical Order
  • Copying Formulae
  • Using Functions – Sum, Average, Max,Min, Count, Counta
  • Applying Absolute (Fixed) Referencing

Formatting And Proofing:

  • Formatting Cells with Number formats, Font formats, Alignment, Borders, etc
  • Basic conditional formatting
  • Copying and Clearing Formats
  • Working with Styles
  • Spell Check, Find & Replace and AutoCorrect

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

Advanced Paste Special Techniques:

  • Paste Formulas
  • Paste Formats
  • Paste Validations
  • Paste Conditional Formats
  • Add / Subtract / Multiply / Divide
  • Merging Data using Skip Blanks
  • Transpose Tables

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

Printing Workbooks:

  • Working with Themes
  • Setting Up Print Area
  • Printing Selection
  • Branding with Backgrounds
  • Adding Print Titles
  • Fitting the print on to a specific defined size
  • Customizing Headers & Footers

Import & Export Of Information:

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

What If Analysis:

  • Goal Seek
  • Scenario Analysis
  • Data Tables

Logical Functions:

  • Nested If ( And Conditions , Or Conditions )
  • Alternative Solutions for Complex IF Conditions to make work simple
  • And, Or, Not

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

VBA Macro:

Introduction to VBA:

  • What Is VBA?
  • What Can You Do with VBA?
  • Recording a Macro
  • Procedure and functions in VBA

Variables in VBA:

  • What is Variables?
  • Using Non-Declared Variables
  • Variable Data Types
  • Using Const variables

Message Box and Input box Functions:

  • Customizing Msgboxes and Inputbox
  • Reading Cell Values into Messages
  • Various Button Groups in VBA

If and select statements:

  • Simple If Statements
  • The Elseif Statements
  • Defining select case statements

Looping in VBA:

  • Introduction to Loops and its Types
  • The Basic Do and For Loop
  • Exiting from a Loop Advanced Loop Examples

Mail Functions – VBA:

  • Using Outlook Namespace
  • Send automated mail
  • Outlook Configurations, MAPI
  • Worksheet / Workbook Operations
  • Merge Worksheets using Macro
  • Merge multiple excel files into one sheet
  • Split worksheets using VBA filters
  • Worksheet copiers

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, Call us to  +91 89258 31826

If you want to Group Discount for Data Analytics course, Call us to  +91 89258 31826

Click here to know about Data Analytics Training in Virudhunagar: Data Analytics Training in Virudhunagar

Click here to know about Data Analytics Training in Kovilpatti: Data Analytics Training in Kovilpatti

Who Can get Placements through Data Analytics Course ?

Freshers (2023 - 2025 Passout)

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

Not Eligible: Diploma

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.

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.

Our Realtime Projects in Data Analytics Training in Tirunelveli

Customer Segmentation for E-Commerce

Develop a customer segmentation model for an e-commerce platform using historical transaction data. Utilize clustering algorithms to group customers based on purchasing behavior, demographics, and preferences. This project can help the business tailor marketing strategies, improve customer engagement, and optimize product offerings for different segments.

Social Media Sentiment Analysis

Participants can engage in an analysis of social media data to extract insights regarding public sentiment towards a particular product, brand, or topic. By employing natural language processing techniques and sentiment analysis algorithms, the project aims to categorize social media posts, comments, and reviews as positive, negative, or neutral.

Smart City Traffic Optimization

In this project, the goal is to optimize traffic flow and reduce congestion in a smart city environment. Use traffic data from a smart city infrastructure to optimize traffic flow and reduce congestion. Analyze real-time and historical traffic patterns, leveraging data from sensors and cameras, to identify bottlenecks and propose strategies for more efficient traffic management.

Objectives of Data Analytics Training in Tirunelveli : 

The objectives of data analytics training are designed to equip individuals with the knowledge and skills needed to effectively analyze and interpret data.

  • Improve Analytical Skills: Participants will effectively be able to examine and evaluate huge and complex data and elaborate on the results of that analysis and this is important when making decisions in any business practice. By the end of the training, the understanding of the learners, when asked strategic questions, will involve the ability to recognize the trends and the insights which are the causes of the trends.
  • Master Key Tools: The training covers all the essential training equipment like conducting technical skills practice on the use of tools such as Python, Excel, SQL and Tableau. They will examine these tools in terms of their application in purposes such collection of data, manipulation of data and presenting the data in the desired form. The grasping of these technologies will help them work on data management tasks more effectively and methodologically.
  • Understand Data Processing: Students will obtain an understanding of fundamental strategies for achieving correct data as well as cleaned and prepared ready for analysis data.
  • Apply Statistical Concepts: The program is going to include various statistics in the syllabus and the use of such statistics in analysis of the collected data. They will be trained to apply these techniques in order to extract meaningful information from raw data. This will also help them in forecasting and support accuracy of their findings with data.
  • Gain Real-World Experience: The students will also take part in projects which involve the processes of data analysis in the real world. This experience in turn will help as a reinforcement of the theoretical part of the coursework and enhance the students’ abilities to solve problems. Upon the completion of these projects, attendees will assemble a portfolio of their work, which will prepare them for entry-level positions in data analytics.

Join us at Getin Technologies Data Analytics Training in Tirunelveli to gain the expertise needed for a successful career in data analytics!

Job Opportunities in Data Analytics

Data analytics offers diverse job opportunities, including roles such as data analyst, business intelligence analyst, and data scientist, with high demand across industries due to the growing importance of data-driven decision-making. Professionals in this field can find rewarding careers in finance, healthcare, e-commerce, and technology companies. Here are some common job opportunities in Data Analytics:

FAQ

The Data Analytics training program incorporates hands-on projects that cover a wide range of real-world applications, including data visualization, predictive modeling, and data interpretation exercises.

We have a dedicated placement cell that provides assistance to participants in securing job placements upon successful completion of the training program. This includes resume building workshops, mock interviews, and networking opportunities.

Participants will have access to comprehensive study materials, industry-standard analytics tools, and datasets. Additionally, guest lectures and online resources are available to supplement the learning experience.

Upon successful completion of the program, participants receive a certificate from Getin Technologies, recognizing their proficiency in Data Analytics and related concepts.

The class schedule for the Data Analytics training program includes flexibility with options for both weekday and weekend batches to accommodate the scheduling needs of participants.

Yes, career counseling services are available to guide participants in identifying career paths and opportunities in the field of Data Analytics, aiding in their professional development.

Featured Courses

Our Students Placed Companies

Chat with us