Data Analyst Course in Bangalore with Job Assistance

Join Data Analyst Course in Bangalore and learn how to convert raw data into meaningful insights using tools like SQL, Power BI, etc. that can be used to make smarter decisions.

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Data Analyst Course(#114)

Course Overview

Bangalore is the Silicon Valley of India and is home to thousands of startups and global tech companies, most of which thrive on data-driven decisions. If you are ready to enter the world of data, our Data Analyst Course in Bangalore is the perfect of starting point. 

Our data analyst course is built to help you develop practical, job-ready analytics skills through real-world projects, hands-on exercises, and career support. You’ll acquire skills that employers in Bangalore’s IT and analytics sector are seeking. Specifically, you will interpret and analyze data, create visual representations of your findings, and formulate actionable plans based on your insights. 

The Data Analytics Course in Bangalore includes: 

You’ll understand analytics tools and be prepared for positions such as Data Analyst, Business Analyst, or BI Developer when the program is completed.

Data Analyst Course

Upcoming Batches

Choose a schedule that fits your lifestyle

Understanding Data Analytics

In today’s digital world, every company, including newly formed ones, gathers huge quantities of information. However, data only becomes useful when it is analyzed. Data Analytics is a process of interpreting data in order to identify patterns and trends and determine valuable insights for better business decisions.

An Analytics workflow typically consists of the following activities:

Data Collection

Retrieving data from various sources including CRMs, APIs, and databases.

Data Cleaning

Rectifying errors, removing duplicates, and addressing issues of inconsistency.

Exploratory Analysis

Identifying trends using Python, Excel and other tools.

Visualization

Generating clear insights and dashboards in Power BI or Tableau.

Such a skill is becoming a requisite to practically every sector including finance, healthcare, e-commerce, and marketing. In this regard, Bangalore provides some of the best opportunities in the country.

Why Learn Data Analytics in Bangalore?

Bangalore isn’t just India’s IT capital; it is also the country’s analytics center. It is home to major data analytics and business intelligence operations of the global giants – Amazon, Google, Microsoft, Flipkart, Deloitte, and Accenture. 

Learning data analytics in Bangalore gives you an advantage because of the following reasons: 

Job opportunities

Multiple openings in analytics are posted every month with MNCs and new startups.

Real business data

Gain hands-on experience involving business data during your internships and projects.

Learning opportunities

Participate in meetups, data hackathons, and more as part the data community ecosystems, including PyData, Women in Data, and Analytics Vidhya.

Competitive pay

Bangalore offers starting salaries that are 20–25% higher than the national average.

Promotion potentia

After you are trained, shifting to higher roles such as Data Scientist or BI Consultant is a breeze.

What You'll Learn in the Data Analyst Course in Bangalore?

Our data analytics course in Bangalore is structured to cover every essential concept from basic analytics to real-world project implementation. 

Module 1 (8 Hours): Introduction to Data Analytics

Part 1:  DATA ANALYTICS FOUNDATION

  • Data Analytics Introduction
  • Data Preparation for Analytics
  • Common Data Problems
  • Various Tools for Data Analytics
  • Evolution of the Analytics domain

Part 2: CLASSIFICATION OF ANALYTICS

  • Four types of Analytics
  • Descriptive Analytics
  • Diagnostics Analytics
  • Predictive Analytics
  • Prescriptive Analytics
  • Human Input in Various Types of Analytics

Part 3: CRIP-DM Model

  • Introduction to the CRIP-DM Model
  • Business Understanding
  • Data Understanding
  • Data Preparation
  • Modelling, Evaluation, Deploying, Monitorin

Module 2 (16 Hours): Microsoft Excel

  • ⁠Introduction to Excel Tables
  • Validations
  • Conditional Formatting
  • Advanced Filters
  • Hyper/Data Linking
  • Data Visualization and Dashboarding
  • Collaboration and Integration
  • Advanced Data Techniques
  • Macros and VBA Programming

Module 3 (16 Hours): Introduction to Python

  • Working with Jupyter Notebook
  • Python concepts:
    o Print function
    o Variable
    o Loops
    • If
    • Else
    • For
    • While
  • Python Data Structures:
    o Array
    o Sets
    o List
    o Tuple
    o Dictionary

Module 4 (8 Hours): Introduction to Statistics

  • Introduction to Descriptive Statistics
    o Mean
    o Outlier
    o Median
    o Mode
    o Skew
    o IQR
  • Bivariate relation
  • Linearity, strength, direction
  • Slope of regression
  • Causality and correlation
  • Interpreting various graph formats:
    o Dot Plot
    o Histograms
    o Box and Whisker
    o Scatter Plots

Module 5 (16 Hours): Analytics using Python

  • Data cleaning
  • Data pre-processing
  • NumPy and Pandas Python Libraries
  • Data visualisation using Seaborn and Matplotlib
  • Data Analytics with Python
  • Case studies
  • Project

Module 6 (16 Hours): Power BI

  • Introduction to Power BI
  • Power BI Interface and Navigation
  • Connecting to Data Sources
  • Data Cleaning and Transformation
  • Advanced Transformations in Power Query
  • Data Modelling Fundamentals
  • DAX (Data Analysis Expressions) Basics
  • Advanced DAX Functions
  • Creating Basic Visuals
  • Advanced Visualizations
  • Mapping and Geospatial Visualizations
  • Custom Visuals and App Store
  • Designing Dashboards
  • Dashboard Interactivity
  • KPI Dashboards
  • Publishing and Sharing Reports
  • Collaborating in Power BI Service
  • Scheduled Refresh and Data Management
  • Advanced DAX and Calculations
  • Performance Optimization
  • Row-Level Security (RLS)
  • Case Studies

Module 7 (16 Hours): SQL

  • Introduction to Databases
  • What is SQL?
  • Installing MySQL
  • Creating the Databases
  • The SELECT Statement
  • The SELECT Clause
  • The WHERE Clause
  • The AND, OR, and NOT Operators
  • The IN Operator
  • The BETWEEN Operator
  • The LIKE Operator
  • The REGEXP Operator
  • The IS NULL Operator
  • The ORDER BY Operator
  • The LIMIT Operator
  • Inner Joins
  • Joining Across Databases
  • Self Joins
  • Joining Multiple Tables
  • Compound Join Conditions
  • Implicit Join Syntax
  • Outer Joins
  • Outer Join Between Multiple Tables
  • Self Outer Joins
  • The USING Clause
  • Natural Joins
  • Cross Joins
  • Unions
  • Column Attributes
  • Inserting a Single Row
  • Inserting Multiple Rows
  • Inserting Hierarchical Rows
  • Creating a Copy of a Table
  • Updating a Single Row
  • Updating Multiple Rows
  • Using Subqueries in Updates
  • Deleting Rows
  • Restoring Databases

Module 8 (16 Hours): Tableau

  • Introduction to Tableau
  • Connecting to Data Sources
  • Data Preparation Basics
  • Data Blending and Joins
  • Data Transformation with Tableau Prep
  • Basic Charts and Visualizations
  • Formatting Visuals
  • Tableau’s Show Me Feature
  • Advanced Charts and Visualizations
  • Calculated Fields and Table Calculations
  • Using Filters and Sets
  • Introduction to Tableau Maps
  • Advanced Mapping Techniques
  • Spatial Calculations and Custom Territories
  • Dashboard Design
  • Adding Interactivity
  • Designing Data Stories
  • Publishing and Sharing Dashboards
  • Tableau Server and Tableau Online
  • Exporting and Presentation
  • Advanced Calculations and LOD Expressions
  • Performance Optimization
  • Tableau Extensions and APIs
  • Case Studies
  • Final Project

Module 9 (8 Hours): Capstone Project

  • A comprehensive, end-to-end project to apply all course concepts.
  • Solves a real-world or business-simulated problem using data

Skills You'll Master

Data cleaning and transformation
SQL database querying
Python programming for analytics
Statistical analysis
Power BI and Tableau visualization
Business storytelling and presentation

Why Choose PyNet Labs?

Live + Recorded Learning Options

Attend classes live or watch recordings at your convenience.

Industry Expert Trainers

Learn from experienced industry recognized professionals. 

Practical Approach

Our teaching is centered on real-world projects instead of just theoretical concepts.

Portfolio Development

We will assist you in creating an impressive GitHub and Power BI portfolio.

Flexible Learning Schedule

Select either a weekday or weekend batch.

Placement Assistance

Resume building, interview prep, and job referrals until you land your role

Career Opportunities After the Data Analytics Course in Bangalore

After completing this course, you’ll be eligible for roles like: 

Job Roles & Average Salaries

Data Analyst

₹3.5 – 5 LPA

Business Analyst

₹5 – 8 LPA

BI Developer

₹8 – 12 LPA

Reporting Analyst

₹6 – 10 LPA

Data Visualization Expert

₹7 – 15 LPA

Top Hiring Companies in Bangalore

Amazon

Flipkart

Infosys

Accenture

Deloitte

Capgemini

Wipro

Cognizant

Average Salary: ₹5 LPA – ₹9 LPA (entry-level)

Our dedicated placement team provides end-to-end support, including: 

  • Resume building & LinkedIn profile optimization 
  • Mock technical and HR interviews 
  • Job referrals via partner network 

Who can join the Data Analyst Course in Bangalore?

This course is ideal for:

Fresh graduates looking for a career in analytics
Working professionals planning a career switch
Non-IT professionals wanting to enter the data field
Entrepreneurs who want to make data-driven business decisions

What Our Students Say About Us?

Our Students Placed At

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Start Your Data Analytics Journey in Bangalore Today

Join the Data Analyst Course in Bangalore by PyNet Labs and unlock your potential in the world’s fastest-growing data analytics domain. Build real-world projects, earn certification, and step into a high-demand analytics career right from Bangalore’s tech hub. 

Frequently Asked Questions

Q1. What are the eligibility criteria to join the Data Analyst Course in Bangalore?

There are no formal eligibility criteria to join this course; anyone with basic computer knowledge can join. So, if you are a recent graduate, a professional thinking of switching careers, etc.

Q2. What kinds of projects will I work on?

You get to work on keystone real-life industry projects that includes projects such as customer segmentation, sales forecasting from historical data, financial reporting, predictive analysis, etc.

Q3. What is the average salary after this course?

Once you have completed the data analyst course in Bangalore, you can easily start your first analyst job with a salary of INR 3 to 5 LPA and after 2/3 years’ experience, you can easily get 7 to 12 LPA.

Q4. How is this course delivered?

Just like all other PyNet Labs’ courses, this course is also delivered Online though Live classes on Microsoft Teams.

Q5. Will I get a certificate after this course?

Yes, you will get a course completion certificate from PyNet Labs that you can use on your LinkedIn profile to showcase to potential employers.

Q6. Does this course come with placement support?

Yes, our Data Analyst Course in Bangalore comes with Placement support. After completing the course, you will get the following support: Resume development tips, interview preparation tips, Job-referrals, etc.

Q7. What is the scope of Data Analytics in Bangalore?

Bangalore is the largest Data Analytics hub of India. It hosts many global IT firms, startups, and consulting companies. As most companies are inclining towards making smarter decisions with the use of data, the demand for data analysts is growing every year.

Q8. How does this Data Analytics Course in Bangalore help in career transition?

This Data analytics course in bangalore is not about only teaching techniques and tools; it is totally inclined towards helping career transformation. This course provides you personalized mentoring, special techniques to master tools, and portfolio development so you can confidently switch to analytics roles, even from non-technical background.

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