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Data Analytics Training in Srivilliputhur

Master Data Analytics Training in Srivilliputhur

Realize your potential with Getin Technologies’ Data Analytics Training in Srivilliputhur, which will give you the skills in SQL, Power BI, Advanced Excel, and Python that employers demand. This course is best suited for those looking to excel at data handling, analysis, and visualization. Understand how to derive valuable insights from SQL, develop engaging dashboards using Power BI, drive complex operations using Excel, and make predictions in data using Python. The course also involves hands-on exercises like analyzing weather and time data to create visual reports and inferences. This professional training provides industry-based step-by-step learning and one-to-one assistance to enable you to enter the field of data analytics with confidence. Start your path in Srivilliputhur and establish a prosperous career in the data-driven world.

Skills You'll Learn

Languages/Tools Covered

SQL

Excel

Python

PowerBI

Our Key Features of Data Analytics Training in Srivilliputhur

Data Analytics Placement

Getin Technologies offers personalized job referrals and career advice through dedicated placement assistance. We’re dedicated to assisting you in securing your ideal job with the right opportunities and professional guidance.

Industry Expert Trainers

Learn from highly experienced industry professionals and acquire current knowledge alongside hands-on, job-ready skills specific to the needs of today‘s market. 

Real World Project

Acquire practical skills through working on actual projects that allow you to develop your abilities in significant ways. Practical experience increases your confidence and provides more career opportunities.

Softskill Training

Our soft skills training enhances your communication, teamwork, and critical thinking skills—equipping you to impress interviewers and excel in the workplace.

Dedicated Placement Cell

Our placement team works with industry leaders to provide you with the best job opportunities. From resume building to interview success, we guide you through every step of your career path.

Mock Interview Session

Mock interviews at Getin Technologies assist you in gaining confidence and improving your interview skills. With expert guidance and feedback, you’ll be adequately equipped to tackle actual interview situations.

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

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 Srivilliputhur

Sales and Inventory Analysis

Use historical weather information to determine long-term climatic patterns, such as temperature trends, precipitation cycles, and intense weather occurrences. Detect seasonal patterns and associations with principal events, in addition to determining the accuracy of weather forecasting through the comparison of forecast data to observed facts.

Weather Data Analysis

Examine historical weather data to reveal long-term climate patterns, such as temperature changes, precipitation trends, and extreme weather phenomena. Determine seasonal trends and correlations with important events, and also assess the accuracy of forecasts by comparing forecasted data with actual weather results.

HealthCare Data Analysis

Interpret healthcare data to identify trends in patient outcomes, treatment efficacy, and disease incidence. Design clear, visually appealing data visualizations (graphs, charts, dashboards) to effectively communicate insights. Utilize the analysis of patient outcomes to formulate evidence-based treatment guidelines and recommendations.

Our Placements in Data Analytics

At Getin Technologies, your success is our number one priority. We pride ourselves on assisting hundreds of students kick-start their careers in Digital Analytics, and we’re only just beginning. With an 85%+ placement success rate and growing partnerships with top IT companies, our students are thriving in positions like Digital Analyst, Data Consultant, Web Analytics Specialist, and Marketing Data Analyst.

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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?

With the current data-oriented world, knowing Data Analytics is crucial for any individual who wishes to support or oppose decisions and processes in most sectors. Following are some key reasons why studying Data Analytics is vital:

  • High Demand for Data Analysts: Data analysis skills are highly sought after across various industries such as finance, healthcare, marketing, and information technology. As organizations continue to depend on data, the demand for competent data analysts continues to increase in the job market.
  • A Value Added in Any Profession: These technical skills differentiate you from others, and you become an asset in facilitating organizational change and making effective decisions that result in success.
  • Better Decision-Making: Proper data management allows individuals and businesses to make decisions based on facts, not assumptions. This enhances forecasting accuracy, trend detection, and overall planning for future success.
  • Identifying Trends and Creating Patterns: Data analytics assists companies to expand by revealing fresh understanding and patterns that lead to improved customer service, efficiency in operations, and innovation. It‘s a priceless skill in any position that entails comprehension and expectation management.
  • Career Opportunities: Data analytics provides opportunities to pursue various job positions like Data Analyst, Data Scientist, and Business Intelligence Analyst. It also offers chances to venture into domains like machine learning, artificial intelligence, and big data, further boosting your career.

Essentially, Data Analytics enables you to convert raw data into useful information, generating new career opportunities and increasing productivity in various industries.

Our Students Placed Companies