Arivuskills

Data Analytics Course in Bangalore

100% Placement Assistance
Certified with IBM Logo

Become a skilled Data Analyst with hands-on training, real projects, and dedicated placement support in Bangalore. Learn the most in-demand data analytics tools and build a career in one of today’s fastest-growing fields.

📍 Classroom & Online 🎓 Certification Included 💼 Placement Assistance

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Key Features of Data Analytics Course

Why Choose ArivuSkills for Data Analytics Course?

100% Placement Assistance

Get complete support with resume building, interview prep, and job opportunities.

Guaranteed Internship

Gain real industry exposure through a guaranteed internship program.

Mock Interviews

Attend real-time mock interviews to build confidence and crack job interviews.

IBM Certification

Earn a globally recognized IBM certification to boost your career credibility.

Complete Hands-on Training

Learn by doing with practical sessions, live exercises, and real projects.

Capstone Project

Work on a real-world capstone project to showcase your end-to-end skills.

5 Tools Specialization

Master 5 in-demand tools used widely in the industry.

Industry-Relevant Curriculum

Curriculum designed based on current industry trends and job requirements.

Real-World Use Case Training

Learn through practical use cases and business scenarios.

Dedicated Mentor Support

Get continuous guidance from experienced mentors throughout the course.

24-Hour Doubt Clarification

Clear your doubts within 24 hours with dedicated support.

Career Guidance & Roadmap

Receive a clear career path and learning roadmap tailored to your goals.

Career Guidance & Roadmap

Start from basics and move to advanced concepts step by step.

Flexible Learning Path

Learn at your own pace with flexible schedules and structured modules.

Who Can Join Data Analytics Course?

Significant Demand Growth Since 2022

Annual Salary
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Hiring Companies
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Annual Salary
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The job demand for Data Analytics is growing as companies rely on data for better decision-making and business growth. Data-related roles are projected to grow by nearly 35% over the next decade, much faster than most professions. Enter this high-demand industry with the online Data Analytics course from Arivu Skills.

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Course Curriculum

Our course is designed by industry experts for excellent academic and industrial experience. We have a balanced combination of theoretical, technical, and practical knowledge for you to get the best training experience for everyone regardless of their background.

➔ Excel
Module 1: Data Management in Excel 
             – Data Cleaning and Preparation: Removing duplicates, handling missing data.
             – Managing Large Datasets: Using Freeze Panes, Filters, and Excel Tables.
             – Advanced Filtering and Sorting: Custom sorting and filtering techniques.
             – Using Excel Tables: Structured references and data organization.          
           

Module 2: Data Analysis and Charting 
             – PivotTables and Pivot Charts: Creating and customizing PivotTables and charts.
             – Slicers and Timelines: Dynamic filtering of PivotTables and charts.
             – Advanced Charting: Creating Waterfall, Funnel, and Combo charts.
             – Conditional Formatting: Highlighting data patterns with color scales and icons.       


Module 3: Excel Formulas 
             – Logical Formulas: IF, AND, OR for decision-making.
             – Lookup and Reference: VLOOKUP, INDEX, MATCH, XLOOKUP.
             – Mathematical and Statistical: SUM, AVERAGE, COUNTIF, STDEV.
             – Text and Date Formulas: CONCATENATE, LEFT, RIGHT, DATE, NOW.   


Module 4: Data Validation and What-If Analysis 

             – Data Validation: Creating drop-down lists and setting entry rules.
             – Named Ranges: Simplifying formulas and improving workbook clarity.
             – What-If Analysis: Using Data Tables for scenario analysis.
             – Scenario Manager and Goal Seek: Managing scenarios and reverse calculations.   

 

Module 5: Dashboard Creation and Consolidation 
             – Data Consolidation: Merging data from multiple sources.
             – Dashboard Creation: Building interactive dashboards with PivotTables and charts.
             – Advanced Excel Functions: Integrating formulas and charts in dashboards.
             – Final Project: Creating a complete dashboard using learned skills.   

➔ Power BI
Module 1: Introduction to Power BI  
     – Getting Started with Power BI Desktop and its interface.
     – Importing and transforming data from different sources.
     – Basic Data Modeling: Creating relationships and calculated columns.
     – Creating basic visualizations and publishing reports to Power BI Service.

Module 2: Data Transformation and Advanced Modeling   
     – Advanced Data Transformation techniques using Power Query Editor.
     – Using DAX for creating calculated columns, measures, and advanced calculations.
     – Working with Time Intelligence functions.
     – Building complex relationships and optimizing data models for performance.

Module 3: Visualizations and Reports   
     – Creating advanced visualizations: bar charts, line charts, pie charts, and combo charts.
     – Customizing visualizations for interactive reports and dashboards.
     – Using slicers, filters, and advanced formatting techniques.
     – Creating reports with multiple pages and interactive features.

➔ Module 4: Power BI Service and Sharing

     – Publishing reports and dashboards to Power BI Service.
     – Sharing and collaborating on Power BI reports with stakeholders.
     – Setting up scheduled data refresh and report distribution.
     – Creating workspaces and managing security permissions in Power BI Service.

➔ Module 5: Advanced Power BI Features and Case Studies

     – Integrating Power BI with Excel and other data sources.
     – Using Power BI API for custom automation and embedding reports in applications.
     – Advanced visualizations using custom visuals in Power BI.
     – Hands-on project and case studies to build a complete Power BI solution.

 

➔ Tableau
Module 1: Introduction to Tableau and Data Visualization Basics  
     – Overview of Tableau, Tableau Desktop, and Tableau Server.
     – Understanding the importance of data visualization in business analytics.
     – Connecting to data sources like Excel, CSV, and databases.
     – Creating basic visualizations such as bar charts, line graphs, and scatter plots.

Module 2: Intermediate Data Visualization Techniques   
     – Introduction to advanced chart types: Heatmaps, box plots, and treemaps.
     – Customizing visualizations with colors, labels, and annotations.
     – Understanding data blending and joins to combine multiple data sources.
     – Creating interactive dashboards using actions, filters, and design best practices.

Module 3: Advanced Analytics with Tableau   
     – Working with calculated fields and parameters, including advanced calculations (IF statements, LOD expressions).
     – Implementing forecasting models and analyzing trends in data.
     – Visualizing spatial data through geographic mapping and customizing maps.
     – Exploring advanced analytics such as seasonality and identifying trends in Tableau.

➔ Module 4: Data Storytelling and Presentation Techniques
     – Understanding the principles of data storytelling and structuring your narrative.
     – Incorporating storytelling into data visualization with story points and annotations.
     – Effective communication techniques for presenting insights to non-technical stakeholders.
     – Presenting data findings confidently and clearly using Tableau’s visualization features.

➔ Module 5: Tableau Server and Collaboration

     – Introduction to Tableau Server and its components.
     – Publishing and sharing Tableau workbooks on Tableau Server.
     – Managing users and permissions, setting access controls for data security.
     – Collaboration features such as comments, subscriptions, and alerts for effective teamwork.

Python Programming

Python Programming
Module 1: Introduction To Python Programming and Basic  
     – Introduction to programming, R or Python?, Why Python?, Different job roles with Python, Different Python IDEs, Downloading and setting up Python environment.
     – Python input and output operations, Comments, Variables, Rules for naming variables, Basic Data Types in Python, Typecasting in Python.
     – Arithmetic operators, Assignment operators, Comparison operators, Logical operators, Identity operators, Membership operators, Bitwise operators.

Module 2: Data Structure and Control Flow   
     – Creating strings, String formatting, Indexing, Slicing, String methods, Creating lists, Properties of lists, List indexing, List slicing, List of lists, List Methods, Adding, Updating & removing elements from lists.
     – Syntax to create tuples, Tuple properties, Indexing on tuples, Slicing on tuples, Tuple methods, Syntax for creating sets, Updating sets, Set operations and methods, Difference between sets, lists and tuples
     – Syntax for creating Dictionaries, Storing data in dictionaries, Dictionaries keys and values, Accessing the elements of dictionaries, Dictionary methods.
     – Setting logic with conditional statements, If statements, If-else statements, If-elif-else statements, Iterating with python loops, while loop, for loop, range, break, continue, pass, enumerate, zip, Assert, Why List comprehension, Syntax for list comprehension, Syntax for dict comprehension.

Module 3: Functions and Advanced Python   
     – What are Functions, Modularity and code reusability, Creating functions, Calling functions, Passing Arguments, Positional Arguments, Keyword Arguments, Variable length arguments (*args), Variable Keyword length arguments (**kargs), Return keyword in Python.
     – Passing function as argument, Passing function in return, Global and local variables, Recursion, Lambda, Lambda with filter, Lambda with map, Lambda with reduce, Creating and using generators, Creating modules, Importing functions from different modules, Importing Variables from different modules.
     – Python builtin modules, Creating packages, Importing modules from packages, Different ways of importing modules and packages, Working on Numpy, Pandas and Matplotlib, Math module, Random Module, Sys module, Os module.
     – Datetime, Regex – re module, Opening files, Opening different file types, Read, write, close files, Opening files in different modes, Installing BeautifulSoup, Understanding web structures, Chrome devtools, request, Scraping data from web using BeautifulSoup, Scraping static websites, Selenium, Scraping dynamic websites using Selenium

➔ Module 4: Object Oriented Programming
     – Creating classes & Objects, Attributes and methods, Understanding init constructor method, Class and instance attributes, Different types of methods, Instance methods, Class methods, Static methods, Inheritance, Creating child and parent class, Overriding parent methods, The super() function.
     – Understanding Types of inheritance, Single inheritance, Multiple inheritance, Multilevel inheritance, Polymorphism, Operator overloading, Accessing Database using sqlite3 and MySql, Creating tables, Insert Values, Commit changes, Query.
     – Update and Delete, Understanding APIs, Flask for building APIs, Making requests using APIs, Building a Registration App using API, Ngrok Server for hosting the API.
     – Mini Project – Building A Virtual Assistant.

➔ SQL
Module 1: Introduction to SQL and Basic Commands  
     – Introduction to DBMS, RDBMS, and SQL.
     – Overview of SQL commands: DDL, DML, DQL, DCL, TCL.
     – DDL commands: Create, Alter, Drop, and Truncate.
     – DML commands: Insert, Update, Delete, and DQL: Select with WHERE clause.

Module 2: SQL Data Types, Constraints, and Operators   
     – Built-in data types in SQL and using the WHERE clause.
     – IS NULL, IS NOT NULL, and compound search with WHERE commands.
     – ALTER, DROP, Rename commands, and Modify command in SQL.
     – Adding and dropping columns, SQL constraints, and using ALTER to add or drop
constraints.

Module 3: SQL Functions and Aggregate Queries  
     – Using WHERE clause predicates, wildcard filtering, UNION, UNION ALL, and DISTINCT.
     –Operator precedence in SQL and sorting query results.
     – Numeric, string, and date functions in SQL (CAST, COALESCE).
     – Aggregate functions: COUNT, SUM, AVG, MIN, MAX with GROUP BY and HAVING clauses.

➔ Module 4: Joins in SQL
     – Simple joins, natural joins, equi joins, non-equi joins, and self-joins.
     – Left joins, inner joins, and outer joins.
     – Using JOIN operations for complex queries.
     – Understanding the significance and types of joins in relational databases.

➔ Module 5: Subqueries and Advanced SQL Operations
     – Subqueries: single-row, multiple-row, and multiple-column subqueries.
     – Correlated subqueries and the use of EXISTS and NOT EXISTS.
     – Practical examples and use cases of subqueries.
     – Combining subqueries with joins for complex SQL operations.

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Career Track

Once you have enrolled for the program then you will have access to a wide range of resources which will help you in becoming a Job-Ready Candidate. We have a dedicated placement team of professionals who excel in their individual domains committed to assist you in our journey.

Profile and Resume building

  • Profile and Resume building
  • Portfolio Building
  • Build highly optimized
  • Resumes and Cover Letters
  • Build your LinkedIn Profile

Business Communication

  • Master class from the industry expert
  • Get proficient in business presentations
  • Learn how to frame professional emails
  • Excel in telephonic communication and Business Vocab
  • Networking and building Interpersonal Skills

Competency Challenge Test

  • Based on the course curriculum
  • Evaluates the understanding of theoretical and practical concepts
  • Adds credibility and accountability to the candidate
  • Difficulty level – moderate

Technical Mock Interviews

  • Interview prep and mock interviews
  • Interview Best Practices
  • Mock interviews
  • Module-wise Interview Questions
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Get Placed

Companies Hiring for Data Analyst

95%

Placements

5 LPA

Average CTC

22 LPA

Highest CTC

300+

Hiring Partners

82%

Average Hike
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4.8/5

250+ Reviews

Data Analytics Course Training

Jan 17 - Mar 17 2026

IST: 09:00 AM – 01:00 PM

May 02 - July 02 2026

IST: 09:00 AM – 01:00 PM

Do you want to customize your batch request?

Corporate Training

The work force is your asset. Up-Skill them with our Corporate Training Programs!

Data Analytics Certification Course in Bangalore Overview

How Data Analytics Certification Impacts Your Career

A Data Analytics Certification from Arivu Skills opens strong career opportunities in today’s data-driven business environment:

Career Advancement:

  • Salary Growth: Certified Data Analysts typically earn 20–30% higher salaries compared to non-certified professionals, improving long-term earning potential.
  • Job Security: Data Analytics roles are projected to grow significantly over the next decade, with demand across IT, Finance, Healthcare, E-commerce, Manufacturing, and Consulting sectors.
What’s Included in the Course?

The Data Analytics Certification Program by Arivu Skills provides comprehensive, job-oriented training:

  • Advanced Excel & Excel Analytics
    Formulas, Pivot Tables, Dashboards, Power Query, Data Cleaning

  • SQL for Data Handling
    Database queries, joins, aggregations, real-world dataset practice

  • Power BI & Tableau
    Interactive dashboards, business reporting, DAX basics

  • Python for Data Analytics 
    Pandas, NumPy, data visualization basics

  • Practice Resources: Comprehensive mock tests and assessment tools
  • Expert Support: 24/7 learning assistance and dedicated doubt-clearing sessions

Key Benefits:

  • Flexible online format suitable for working professionals
  • Placement assistance with profile building and resume optimization
  • Interview preparation through mock sessions
  • 9 Months access to course materials & Sessions
Data Analytics Eligibility and Prerequisites

Educational Qualifications:

  • Any Undergraduate or Postgraduate Degree

  • Open to fresh graduates and working professionals

  • No mandatory technical background required 

    Enrolling in the data analytics course with placement in Bangalore opens doors for professionals from diverse educational backgrounds seeking. To understand whether you qualify, review the data analytics – eligibility criteria and begin your career transformation through structured learning.

Basic Requirements :

  • Basic understanding of Excel (preferred but not mandatory)

  • Analytical thinking mindset

  • Laptop/PC with stable internet

  • Commitment of 8–10 hours per week for learning

The Data Analytics Certification from Arivu Skills ensures you gain practical, job-ready skills aligned with current industry demands, helping you build a structured and sustainable analytics career path.

Data Science Course Certificate

Certificate of merit - sample
IBM

Skills Covered

Tools Covered

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Data Analytics Certification Course in Bangalore FAQ

A Data Analytics course teaches you how to collect, process, and interpret large sets of data to support business decisions.

A Data Analytics course is open to a wide range of learners — fresh graduates, working professionals looking to upskill, career switchers, and even entrepreneurs who want to make data-driven decisions. Backgrounds in engineering, commerce, science, or even arts can pursue this course with no prior coding knowledge required.

A well-structured Data Analytics course covers Python, SQL, Excel, Power BI, Tableau, Statistics, Data Cleaning, Exploratory Data Analysis (EDA), Data Visualization, and an introduction to Machine Learning. Some advanced programs also include cloud tools like Google BigQuery and AWS analytics services.

Bangalore’s booming IT and startup ecosystem offers a wide range of career options for Data Analytics graduates, including roles like Data Analyst, Business Intelligence Analyst, Product Analyst, Marketing Analyst, Operations Analyst, and Data Consultant across sectors like e-commerce, fintech, healthcare, and SaaS companies.

Some of the highest data analytics salaries in India. Freshers can expect starting packages between ₹4 to ₹7 LPA, while professionals with 2–4 years of experience typically earn ₹8 to ₹15 LPA. Senior data analysts and those with specialized skills in machine learning or cloud analytics can earn upwards of ₹20 LPA.

Arivu Skills stands out competitive training landscape with its industry-driven curriculum, expert mentors with real-world experience, and a strong track record of student placements. The institute bridges the gap between classroom learning and industry expectations, ensuring students are job-ready from day one.

Yes, Arivu Skills offers flexible batch timings designed for both students and working professionals. Weekend batches, and live online classes are available so that learners can upskill without disrupting their current job or academic schedule.

ArivuSkills differentiates itself through its practical, project-based approach to learning. Students work on live industry projects, real datasets, and case studies that mirror actual workplace challenges. Combined with personalized mentorship and small batch sizes, learners receive focused attention that larger institutes often cannot offer.

Yes, Arivu Skills offers comprehensive placement support including resume building, mock technical and HR interviews, portfolio development, and direct referrals to hiring partners. The dedicated placement cell actively connects trained students with companies looking for skilled data analytics professionals.

Yes, upon successfully completing the course and clearing the assessments, students receive an industry-recognized certification from Arivu Skills. This certification validates your data analytics skills and significantly boosts your profile when applying for jobs.

Distinctions and Achievements

Explore the milestones of our journey!

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Best Skill Learning Institute of the Year

The Education Excellence Award by Brands Impact

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Edutech Company of the Year

The Education Awards by The Corporate Titan

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Institute with the Best Placement

The Education Awards by Mantra

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Bangalore (Offline + Live- Online Class)

Chennai (Live - Online Class)

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This course has served

5+

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3 Months

Structured Program

100%

Hands-On Training

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Certification Included

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