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Data Analytics Training in Sivakasi

Master Data Analytics Training in Sivakasi

Begin your Data Analytics journey with Getin Technologies’ Data Analytics Training in Sivakasi, where you’ll learn to master important tools such as SQL, Power BI, Advanced Excel, and Python. Created for those looking to develop skills in data management, analysis, and visualization, this course takes you through the basics. You will develop a good grasp of SQL for data extraction, Power BI for the generation of effective dashboards and charts, Advanced Excel for data manipulation, and Python for predictive analysis and programming. During the training, students will practice with live data, such as weather and time data, to create insights and draw conclusions. This career-focused program is designed to assist you in establishing a solid foundation in data analytics, with industry-specific learning and expert mentorship at each stage. Join us in Sivakasi to realize your potential and start a successful career in data analytics.

Skills You'll Learn

Languages/Tools Covered

SQL

Excel

Python

PowerBI

Our Key Features of Data Analytics Training in Sivakasi

Data Analytics Placement

Getin Technologies provides individual placement assistance to all students. Personalized job recommendations and necessary support are offered to assist you in getting your dream job. 

Industry Expert Trainers

Learn from industry-leading specialists and, by doing so, acquire up-to-date insights alongside practical, employment-ready skills to succeed in your career. 

Real World Project

Obtain hands-on exposure through working on live projects that enable you to implement your skills appropriately. The experience enhances your confidence and increases the scope for career growth.

Softskill Training

Our soft skills training builds your communication, teamwork, and critical thinking skills, setting you apart during interviews and succeeding in work settings.

Dedicated Placement Cell

Unleash the best job prospects with the assistance of our committed placement team, connecting closely with industry trends. From resume building to interview mastery and more, we are with you every step of the way.

Mock Interview Session

At Getin Technologies, our mock interviews are designed to strengthen your confidence and hone your interview skills. Get expert feedback and walk into any interview with preparedness and confidence.

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)

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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

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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 Sivakasi

Sales and Inventory Analysis

Use sales and inventory information to maximize stock levels, improve inventory management, and boost retail or e-commerce sales. Analyze product and category profitability based on costs and sales volumes, allowing for more informed decisions and better overall business performance.

Weather Data Analysis

Examine past weather records to reveal long-term climate patterns, such as temperature changes, precipitation patterns, and extreme weather occurrences. Determine seasonal differences and relations with important events. Evaluate the validity of weather forecasts by juxtaposing forecasted conditions with actual readings.

HealthCare Data Analysis

Analyze healthcare data to determine the most important trends in patient outcomes, effectiveness of treatment, and disease prevalence. Create thoughtful, visually appealing data visualizations to share findings simply. Utilize this analysis to write evidence-based treatment recommendations and actionable advice.

Our Placements in Data Analytics

At Getin Technologies, we are dedicated to your success. We‘ve placed hundreds of learners in their first jobs in Digital Analytics—and we‘re just getting started. With an 85%+ placement rate and increasing partnerships with leading IT companies, our graduates are excelling in positions such as 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 this data-driven era, it is imperative for one to know Data Analytics if one is going to support or contradict decisions and unlock value across industries. Below is why Data Analytics is important:

  • High Demand for Data Analysts: Data analytics skills are in great demand in sectors such as finance, healthcare, marketing, and IT. With companies becoming more data-informed, there is a high demand for data analysts in the labor market.
  • Value Added to Any Profession: These highly sought–after skills are not transferable, a strong differentiator for career progression and a valuable asset in spearheading organizational transformation through data-driven decision-making.
  • Better Decisions: Good data management equips people and businesses to make their action plans fact-based, as opposed to assumption-based, and enhances the accuracy of forecasting, trend identification, and strategic planning.
  • Skill to Recognize Trends and Patterns: Analytics of data reveals worthwhile information and patterns that promote business development, improve customer satisfaction, and make processes efficient. It‘s a key skill in meeting expectations and being successful.
  • Rich Career Opportunities: Data analytics provides opportunities for various careers like data analyst, data scientist, and business intelligence analyst, with the scope to specialize in fields like machine learning, artificial intelligence, and big data, fueling career advancement.

Data Analytics gives you the skills to convert data into useful information, opening up new career opportunities and boosting productivity in different industries

Our Students Placed Companies