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Data Analytics Course Training Options

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Group Classes

Join in-class training in Chennai, Bangalore and Hyderabad that promotes cooperation, peer guidance, and project discussions. Course offerings are available on weekdays and weekends.

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One-to-One Mentorship

Schedule your personalized sessions at our leading data analytics training institute in India, which is designed according to your learning speed and goals, allowing focused attention and customized guidance.

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Live Online Sessions

Engaging virtual classes can be taken at home with reputed industry experts. You will receive materials and sessions that are recorded for you to review at any time.

Preferred
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Corporate Team Training

Help your team elevate their skills with the best data analytics training in India, which includes sessions designed for your organization’s specific needs, goals, and objectives. Ideal for organizations looking to improve their data analytics capabilities.

The Best Data Analytics Online Training Institute in India offers 100% job-oriented courses in Chennai, Bangalore, Hyderabad, Pune, Mumbai, Coimbatore, Noida, Delhi, Kochi, Kolkata, Ahmedabad and Gurgaon.

Feel & Decide after a Free Demo Class with our Real Time Experts.

Call us for Chennai Center: +91-8099 770 770 and get a High Paid BI Job.

Tools covered in Data Analytics

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Learning Outcomes of a Data Analyst Course

  • The course will enable one to calculate the most common statistical indexes for data series of diverse nature and complexity.
  • Participants will learn to quantify the variable component of a phenomenon.
  • Participants will learn to bring the observed phenomena back to the corresponding type of random variable.
  • The course will enable participants to analyze the frequency distribution of random variables.
  • The training will teach participants to uncover business analytics, data visualization, data management, insights, and identify critical discoveries to provide data-driven solutions.

Data Analytics Course Content

Business Statistics

Introduction to Statistical Analysis

  • Counting, Probability, and Probability Distributions
  • Sampling Distributions
  • Estimation and Hypothesis Testing
  • Scatter Diagram
  • Anova and Chisquare
  • Imputation Techniques
  • Data Cleaning
  • Correlation and Regression

Introduction to Data Analytics

  • Data Analytics Overview
  • Importance of Data Analytics
  • Types of Data Analytics
  • Descriptive Analytics
  • Diagnostic Analytics
  • Predictive Analytics
  • Prescriptive Analytics
  • Benefits of Data Analytics
  • Data Visualization for Decision Making
  • Data Types, Measure Of central tendency, Measures of Dispersion
  • Graphical Techniques, Skewness & Kurtosis, Box Plot
  • Descriptive Stats
  • Sampling Funnel, Sampling Variation, Central Limit Theorem, Confidence interval

Excel: Basics to Advanced

Basic Excel

  • Excel tutorial
  • Text to Columns
  • Concatenate
  • The Concatenate Function
  • The Right Function with Concatenation
  • Absolute Cell References
  • Data Validation
  • Time and Date Calculations
  • Conditional Formatting
  • Exploring Styles and Clearing Formatting
  • Using Conditional Formatting to Hide Cells
  • Using the IF Function
  • Changing the “Value if false” Condition to Text
  • Pivot Tables
  • Creating a Pivot Table
  • Specifying PivotTable Data
  • Changing a PivotTables Calculation
  • Filtering and Sorting a PivotTable
  • Creating a PivotChart
  • Grouping Items
  • Updating a PivotTable
  • Formatting a PivotTable
  • Using Slicers
  • Charts
  • Creating a Simple Chart
  • Charting Non-Adjacent Cells
  • Creating a Chart Using the Chart Wizard
  • Modifying Charts
  • Moving an Embedded Chart
  • Sizing an Embedded Chart
  • Changing the Chart Type
  • Chart Types
  • Changing the Way Data is Displayed
  • Moving the Legend
  • Formatting Charts
  • Adding Chart Items
  • Formatting All Text
  • Formatting and Aligning Numbers
  • Formatting the Plot Area
  • Formatting Data Markers
  • Pie Charts
  • Creating a Pie Chart
  • Moving the Pie Chart to its Own Sheet
  • Adding Data Labels
  • Exploding a Slice of a Pie Chart
  • Data Analysis − Overview
  • types of Data Analysis
  • Data Analysis Process
  • Working with Range Names
  • Copying Name using Formula Autocomplete
  • Range Name Syntax Rules
  • Creating Range Names
  • Creating Names for Constants
  • Managing Names
  • Scope of a Name
  • Editing Names
  • Applying Names
  • Using Names in a Formula
  • Viewing Names in a Workbook
  • Copying Formulas with Names
  • Difference between Tables and Ranges
  • Create Table
  • Table Name
  • Managing Names in a Table
  • Table Headers replacing Column Letters
  • Propagation of a Formula in a Table
  • Resize Table
  • Remove Duplicates
  • Convert to Range
  • Table Style Options
  • Table Styles
  • Cleaning Data with Text Functions
  • Removing Unwanted Characters from Text
  • Extracting Data Values from Text
  • Formatting Data with Text Functions

Advance Excel

  • Date Formats
  • Conditional Formatting
  • Sorting
  • Filtering
  • Lookup Functions
  • Pivoting

SQL

Syllabus of SQL Training

  • Introduction to Oracle Database
  • Retrieve Data using the SQL SELECT Statement
  • Learn to Restrict and Sort Data
  • Usage of Single-Row Functions to Customize Output
  • Invoke Conversion Functions and Conditional Expressions
  • Aggregate Data Using the Group Functions
  • Display Data from Multiple Tables Using Joins
  • Use Sub-Queries to Solve Queries
  • The SET Operators
  • Data Manipulation Statements
  • Use of DDL Statements to Create and Manage Tables
  • Other Schema Objects
  • Control User Access
  • Management of Schema Objects
  • Manage Objects with Data Dictionary Views
  • Manipulate Large Data Sets
  • Data Management in Different Time Zones
  • Retrieve Data Using Sub-queries
  • Regular Expression Support

Tableau

Module 1: Tableau Course Material

  • Start Page
  • Show Me
  • Connecting to Excel Files
  • Connecting to Text Files
  • Connect to Microsoft SQL Server
  • Connecting to Microsoft Analysis Services
  • Creating and Removing Hierarchies
  • Bins
  • Joining Tables
  • Data Blending

Module 2: Learn Tableau Basic Reports

  • Parameters
  • Grouping Example 1
  • Grouping Example 2
  • Edit Groups
  • Set
  • Combined Sets
  • Creating a First Report
  • Data Labels
  • Create Folders
  • Sorting Data
  • Add Totals, Sub Totals and Grand Totals to Report

Module 3: Learn Tableau Charts

  • Area Chart
  • Bar Chart
  • Box Plot
  • Bubble Chart
  • Bump Chart
  • Bullet Graph
  • Circle Views
  • Dual Combination Chart
  • Dual Lines Chart
  • Funnel Chart
  • Traditional Funnel Charts
  • Gantt Chart
  • Grouped Bar or Side by Side Bars Chart
  • Heatmap
  • Highlight Table
  • Histogram
  • Cumulative Histogram
  • Line Chart
  • Lollipop Chart
  • Pareto Chart
  • Pie Chart
  • Scatter Plot
  • Stacked Bar Chart
  • Text Label
  • Tree Map
  • Word Cloud
  • Waterfall Chart

Module 4: Learn Tableau Advanced Reports

  • Dual Axis Reports
  • Blended Axis
  • Individual Axis
  • Add Reference Lines
  • Reference Bands
  • Reference Distributions
  • Basic Maps
  • Symbol Map
  • Use Google Maps
  • Mapbox Maps as a Background Map
  • WMS Server Map as a Background Map

Module 5: Learn Tableau Calculations & Filters

  • Calculated Fields
  • Basic Approach to Calculate Rank
  • Advanced Approach to Calculate Ra
  • Calculating Running Total
  • Filters Introduction
  • Quick Filters
  • Filters on Dimensions
  • Conditional Filters
  • Top and Bottom Filters
  • Filters on Measures
  • Context Filters
  • Slicing Fliters
  • Data Source Filters
  • Extract Filters

Module 6: Learn Tableau Dashboards

  • Create a Dashboard
  • Format Dashboard Layou
  • Create a Device Preview of a Dashboard
  • Create Filters on Dashboard
  • Dashboard Objects
  • Create a Story

Module 7: Server

  • Tableau online.
  • Overview of Tableau Server.
  • Publishing Tableau objects and scheduling/subscription.

Power BI

Module 1: 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

Module 2: 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

Module 3: 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

Module 4: 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

Module 5: 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

Module 6: 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

Python Basics

Objective: To Understand Python basic concepts.

Application: Used in Program to give comments, print the values.

  • The print statement
  • Comments
  • Python Data Structures & Data Types
  • String Operations in Python
  • Simple Input & Output
  • Simple Output Formatting
  • Deep copy
  • Shallow copy
  • Operators in python

Upcoming Batch Schedule for Data Analytics Online Course

  • 12-12-2025 Mon (Mon - Fri)Weekdays Batch 08:00 AM (IST)(Class 1Hr - 1:30Hrs) / Per SessionGet Fees
  • 15-12-2025 Thu (Mon - Fri)Weekdays Batch 08:00 AM (IST)(Class 1Hr - 1:30Hrs) / Per SessionGet Fees
  • 10-12-2025Sat (Sat - Sun)Weekend Batch11:00 AM (IST) (Class 3Hrs) / Per SessionGet Fees
Can’t find a batch you were looking for? Request a Batch

Projects in the Data Analytics course

Sales pipeline Dashboard
Project 1

Sales pipeline Dashboard

Create a dynamic dashboard that monitors every step of your sales process. To increase conversion rates, know where your leads are coming from, how they are developing, and which acquisition channels are working best.

Sales Growth Dashboard
Project 2

Sales Growth Dashboard

Design a dashboard that helps analyze your sales team’s performance over time. Track revenue generation over time to obtain insights that help with forecasting and strategic planning.

Healthcare Data Dashboard
Project 3

Healthcare Data Dashboard

Create a detailed healthcare dashboard that allows hospital managers to spot high-risk patients, keep an eye on important health metrics, and efficiently manage resources, all from one convenient screen

Why Choose Besant Technologies for Data Analytics Training Course?

Practical Projects

Work on real-world projects based on scenarios from the industry and gain knowledge from them.

Skilled Instructors

Learn and acquire knowledge from instructors with over ten years of software testing experience.

Support for Certification

Get a certification that is recognized throughout the world to attract impressive job offers.

100% Placement Support

Will provide support for resume building and interview opportunities.

Mock interviews

Get all the help you need to land a job, from practicing mock interviews

Adjustable Batch Schedules

Learn flexibly according to your needs and schedule.

Data Analytics Course Trainer Profile

Data Analytics Instructor

Instructor:Siva Kumar

Experience:7+ years

Expertise in: SQL, Python (Pandas, NumPy), R, Tableau, Power BI, Looker Studio, Excel

Trainer Profile of Data Analytics Course in India

Our trainers provide the students with total flexibility in exploring the topic and gaining knowledge from real-time examples. They assist the candidates in finishing their projects and even prepare them for interview questions and answers. Any queries are welcome at any time from candidates.

The Reasons why our Data Analytics Certification course is highly recommended:

  • 7+ years of experience in the data analytics domain across leading MNCs.
  • Practical experience with live data projects and tools such as SQL, R, Python, and Power BI.
  • Comprehensive understanding of industry-relevant practices as well as theoretical ideas.
  • Certified professional with a high grade and strong credibility.
  • Connected with HRs from top multinational companies for placement support.
  • Thorough understanding of real-world business applications and analytics pipelines.
  • Our trainers are currently working in top companies such as CTS, TCS, HCL Technologies, ZOHO, IBM, Microsoft, HP, and others.

How Important is Data Analytics

Data analytics is now essential for businesses, not just an advantage. Companies use it in many areas to predict trends, improve performance, and make better decisions. It helps businesses improve customer experiences and simplify processes, keeping them flexible and adaptable.

Sectors like healthcare, banking, retail, and technology are pouring resources into analytics as the demand for data-driven strategies continues to grow. Our Data Analyst course allows you to discover trends, find solutions to issues, and help you make critical business decisions, assuming you have the right tools and talent. Learning data analytics is a great step to secure a future-proof job. Interested in our Data analytics course fees? Reach out today, and we'll guide you through your options.

software testing course

Power BI Tutorial For Beginners

Placement Support for Data Analytics

Placement assistance

At Besant Technologies, we teach Data Analytics and help you start your career with confidence. These are the points you will get with our placement support:

  • 100% Placement Assistance through our specialized job portal
  • Resume-building sessions designed for analytics roles
  • Mock interviews with helpful feedback to improve
  • Job referrals through our partnerships with top MNCs
  • Career counseling from data field experts

Regardless of whether you are a new hire or switching positions, placement support here ensures employment.

Our Alumni Works At

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Student Feedback for Data Analytics Course

Start your IT career as fresher with Besant technologies Data Analyst Course with Certification and placements. As a fresher I got placed as a Data Analyst with 5 LPA in a top MNC. Learnt Excel, SQL, Python, Power BI & Data Visualization with Certification. Join top-rated Data Analytics Training Institute with 100% placement support.!

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Dharunika

Analyst Trainee

Besant technologies Data Analyst Course helps me to start strong in IT. As student from B.Com successfully transitioned to Data Analyst at Flipkart with 5 LPA. Learnt SQL, Python, Excel, Power BI & Tableau through real-time industry projects. Join the trusted Data Analyst training institute

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Sonia Burman

Data Analyst

I'm Anitha with a 10-year career break successfully got placed through Besant Technologiea. Join Besant technologies, the leading Data Analyst training institute with 100% placement support.

Satisfied Student Review
Anitha

Data Analyst

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Interview Questions

Besant Technologies Offers Latest Data Analytics Interview Questions and Answers for freshers and experienced professionals which will help you to clear Interviews in the first attempt. These Data Analytics Related interview Questions are Prepared by working Professionals based on the industry requirements. Stay tuned we will update the Recent interview questions with Answers Frequently.

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