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Learn Data Analytics Course in Bangalore with Vtricks Technologies through specialized, mentor-led training. Our course is recognised as one of the best data analytics courses in Bangalore, offering industry-relevant training and hands-on projects. Our curriculum, led by industry specialists, provides thorough training in data-science tools and methodologies vital for today’s companies. From hypothesis testing to regression analysis, candidates gain key abilities in data extraction and descriptive & inferential statistics, among other essentials.

5000+

Candidates Trained & Placed

100+

Industry-Expert Trainers

300+

Live Projects Completed

Benefits of Becoming a Data Analyst

High Demand

Businesses across every sector now rely on data for decisions, so skilled data analysts are in constant demand. Roles like Data Analyst, BI Analyst and Business Analyst are growing fast, especially for professionals with strong data analytics skills in SQL, Python and Power BI.

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High-Paying Salaries

Employers value professionals who can turn raw data into clear insights and dashboards. That impact translates into competitive salaries and faster career growth for entry-level and experienced data analysts alike.

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Versatility

Data analytics skills apply in finance, healthcare, e-commerce, marketing, SaaS and more. Once you master SQL, Python and business intelligence tools, you can move across domains and teams without restarting your career.

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Intellectual Challenge

From cleaning large datasets to spotting patterns and testing hypotheses, data analysis keeps you engaged. You’ll solve real problems, answer stakeholder questions and build dashboards that reveal what’s really happening.

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Continuous Learning

The analytics stack evolves quickly—new Python libraries, Power BI features and cloud data tools appear every year. As a data analyst, you keep growing with up-to-date techniques, certifications and real project experience.

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Impactful Decision-Making

Great analytics drives evidence-based decisions—from improving customer journeys to reducing costs and boosting revenue. Your work shapes product roadmaps and business strategy, making the role both visible and meaningful.

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Career Opportunities for Data Analysts

Complete our Data Analytics Course in Bangalore and unlock high-growth roles across analytics, BI and data engineering. The program builds job-ready skills in SQL, Python, Excel and Power BI, plus statistics and dashboarding—so you can qualify for analyst positions across product, marketing, finance and operations.

Data Analysts clean, model and interpret datasets to deliver actionable insights that drive decisions. Typical work includes building KPI dashboards, running A/B test reads, and answering stakeholder questions with ad-hoc analysis.

  • Tools: SQL, Python (pandas), Excel, Power BI
  • Tasks: data cleaning, joins/window functions, visualization, reporting
  • Teams: product, marketing, operations, finance

SQL Developers build and optimize queries, views and stored procedures that power analytics and apps. You’ll ensure data integrity and performance so analysts and BI tools can trust the results.

  • Skills: advanced joins, CTEs, window functions, query tuning, indexing
  • Responsibilities: data modeling, creating reusable datasets, supporting ETL

Power BI Developers translate business needs into interactive dashboards and robust data models. You’ll use DAX and best-practice modeling to deliver self-serve analytics and executive reporting.

  • Skills: data modeling, DAX measures, row-level security, performance tuning
  • Outputs: decision-ready dashboards, scorecards, and drill-through reports

Business Analysts connect stakeholders to data teams. You’ll scope requirements, analyze metrics with SQL/BI, document user stories, and turn findings into recommendations aligned to product and revenue goals.

  • Focus: requirements, KPI frameworks, decision support
  • Deliverables: PRDs, reports, presentations, roadmap inputs

Junior Data Engineers build pipelines and automate ingestion/cleaning so analytics runs smoothly. You’ll help maintain data quality, lineage and scalability across tools and environments.

  • Stack: SQL, Python, ETL concepts; exposure to cloud warehouses is a plus
  • Work: scheduled jobs, transformations, data validation, monitoring

Core Python Developers write clean, efficient code to automate data workflows and integrate systems. Your scripts and services support analytics, reporting and ML experiments.

  • Skills: Python fundamentals, APIs, data parsing, packaging, testing
  • Outcomes: automation, reliability, faster analytics delivery

Who hires Data Analysts in Bangalore?

Product startups, e-commerce, fintech, healthtech, SaaS, consulting and large IT services companies actively hire for Data Analyst, BI Analyst, Power BI Developer and Business Analyst roles. Strong SQL, Python and dashboarding skills make your profile stand out.

Interview Focus Areas

  • SQL: joins, window functions, query reasoning
  • Analytics case studies: funnels, cohorts, AB-test reads
  • Power BI: data modeling and DAX logic
  • Statistics: hypothesis testing, confidence intervals



Why Choose Our Data Analyst Course
in Bangalore

Build a job-ready foundation with Vtricks Technologies’ Data Analyst Course in Bangalore. Our industry-aligned data analytics training in Bangalore combines mentor-led classes, real datasets and live projects. You’ll master the core stack—SQL, Python, Excel and Power BI— plus statistics, hypothesis testing and regression so you can turn data into clear business insights.

We focus on outcomes: a practical curriculum, hands-on labs and guidance from experienced instructors. Learn in a supportive environment, showcase your skills through capstone projects and leverage alumni success to accelerate your own analytics career.

  • Industry-aligned syllabus: SQL, Python (pandas), Power BI (DAX), dashboards & reporting
  • Hands-on learning: real datasets, mentor feedback and presentation practice
  • Placement support: resume & LinkedIn polish, mock interviews and job referrals
  • Expert mentors: practitioners with proven analytics and BI experience
  • Flexible modes: weekday/weekend, classroom & live online to fit your schedule
data analytics course in bangalore classroom - vtricks technologies

Unique Approach and Teaching Methods

At Vtricks Technologies, our Data Analytics Course in Bangalore follows a learn-by-doing model: mentor-led labs, real datasets and project reviews. Here’s how our data analytics training in Bangalore stands out:

  • data manipulation with sql pandas numpy 01

    Effective Data Manipulation

    Master structured data prep using SQL for extraction/joins and Python libraries— pandas & NumPy—for cleaning, reshaping and feature preparation. Through hands-on exercises and case datasets, you’ll write production-style queries and notebooks that get data analysis-ready.

  • statistics for data analytics hypothesis testing regression 02

    Statistical Analysis Mastery

    Learn statistics you’ll actually use: descriptive summaries, probability and sampling, hypothesis testing (t-tests, chi-square), confidence intervals, correlation and regression analysis. We emphasise interpretation— p-values, effect sizes, assumptions—so your insights lead to sound, evidence-based decisions.

  • matplotlib seaborn power bi data visualization dashboards 03

    Informative Visualisations

    Tell clear data stories with Matplotlib and Seaborn, then level up to interactive dashboards in Power BI (modeling and DAX). You’ll practice chart selection, annotations, filters and layout so stakeholders get insights fast—no guesswork.

Latest Trends in Data Analytics

In 2025, data analytics is being reshaped by GenAI, real-time data, open lakehouse formats, and tighter governance. Explore the key shifts below:

GenAI is moving inside BI workflows. Teams use natural-language to generate SQL, explain charts, and build first-draft dashboards. A governed semantic layer keeps metrics consistent across tools and AI agents, while vector search/RAG helps analyse text, docs, and logs alongside tables. The focus in 2025: measurable ROI from AI, not just demos.

Event-driven analytics goes mainstream. Companies stream data to power instant alerts, personalization, fraud checks, and AI agents. Data streaming platforms (Kafka/Flink-based) are now a top strategic priority for IT leaders, helping move from nightly batches to continuous decisions.

Open lakehouse & interoperability. Open table formats (Apache Iceberg, Delta Lake) and catalog federation let teams query the same data from multiple engines without copies. New features make it easier to mix warehouse + lake workloads, reduce lock-in, and govern everything from one catalog.

From descriptive to decisions. Teams pair forecasting and regression with GenAI to recommend actions—while data governance, AI model transparency and data quality/observability become non-negotiable. The EU AI Act accelerates robust governance, and synthetic data is growing where privacy or imbalance blocks model training.



Invest in Your Future with Vtricks Technologies

Data Analytics


₹32,000

  • Master core tools — Excel, SQL, Python, Power BI
  • Hands-on learning — real datasets, visualization & reporting
  • Business Intelligence — data cleaning, modeling and dashboards
  • Capstone projects — solve practical, industry-style problems
  • Certification & career prep — resume polish, mock interviews
  • Beginner-friendly — no prior coding required
  • Advanced AI & Machine Learning — available as an optional add-on


TABLE OF CONTENTS MODULES

Data Analytics Introduction and Fundamentals

Overview, use cases, and industry adoption of data analytics.

Python as programmer

Overview, use cases, and industry adoption of data analytics.

Python for data analytics

Overview, use cases, and industry adoption of data analytics.

Visualisation in Python

Overview, use cases, and industry adoption of data analytics.

Descriptive statistics for data analytics

Overview, use cases, and industry adoption of data analytics.

Data cleaning and data transformation

Overview, use cases, and industry adoption of data analytics.

Inferential statistics for industry data analytics

Overview, use cases, and industry adoption of data analytics.

SQL Basics

Overview, use cases, and industry adoption of data analytics.

Advance SQL

Overview, use cases, and industry adoption of data analytics.

Power BI Basics

Overview, use cases, and industry adoption of data analytics.

Advance Power BI

Overview, use cases, and industry adoption of data analytics.

Mock interview

Learn how to collect, clean, and manage datasets effectively.

Project work (2 compulsory – 2 optional)

Visualizing and interpreting data to uncover trends.