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iHUB IIT R

Data Analytics Course in Bangalore

84,718 Ratings

Become a Data Analyst by mastering Data Analysis tools and techniques with our Data Analytics Course in Bangalore.

  • Data Analytics Training in Bangalore by iHUB IIT Roorkee (An Innovation Hub of IIT Roorkee)
  • Get Data Analysis Course from eminent IIT Faculty & top Industry Experts
  • Master Machine Learning Algorithms, Python, Microsoft Excel, SQL, and Power BI
  • Get Placement Support upon Data Analyst Course completion in Bangalore
  • 2 Days Campus Immersion at IIT Roorkee
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Key Highlights

50+ Live sessions across 7 months
218 Hrs of Self-paced tutorial videos
Get 200 Hrs of Project & Exercises
Learn from industry professionals and IIT Faculty
1-on-1 sessions with industry mentors
LinkedIn profile review and resume assistance
24*7 Support
No-cost EMI Option
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Online Data Analytics Course Overview

Why should I consider starting a career as a data analyst in Bangalore?

Starting a career as a data analyst is profitable due to the growing demand for professionals who can analyze and interpret data. Businesses across sectors rely on data-driven insights for decision-making, creating numerous opportunities for skilled data analysts.

In this online data analytics course certification in Bangalore, you will gain in-depth knowledge of the following topics:

  • Excel
  • Data wrangling with SQL
  • Presto (SQL Interface)
  • Introduction to Data Science and Statistics
  • Business Problem Solving across different domains
  • Optimization techniques
  • Predictive Modeling
  • Time- Series Forecasting
  • Feature Engineering
  • Advanced Machine Learning Techniques
  • Data Science Execution Strategy
  • Business Case Studies
  • Power BI
  • Data Science Capstone Project
  • The average salary for a Data Analyst is ₹7,36500 per year in Bangalore, India. – GlassDoor
  • 28,000+ Data Analyst Jobs in Bengaluru, India – Linkedln
Job Title Salary (INR)
Data Analyst 600,000 – 800,000
Business Intelligence Analyst 700,000 – 900,000
Data Scientist 800,000 – 1,000,000
Machine Learning Engineer 900,000 – 1,100,000
Data Engineer 1,000,000 – 1,200,000

In Bangalore, current trends in data analytics include the widespread adoption of artificial intelligence, machine learning, and big data technologies. Companies are using analytics for data-driven decision-making, creating a demand for skilled professionals proficient in these advanced analytics tools.

You do not need to have any prior skills to take this course. Although having some knowledge of statistics, probability, and data analysis before signing up for this course can be helpful.

Here are a couple of differences between data scientists, data analysts, and business analysts:

  • In terms of skill set, data analysts analyze the business requirements, while business analysts analyze the historical data and data scientists make decisions based on the given data
  • Data analysts perform the complete life-cycle of data analysis, whereas business analysts implement, build, analyze, and report the capabilities of the business. Data scientists, on the other hand, perform statistical analysis to build machine learning systems
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11+ Skills to Master

Proficient in SQL

Knowledge in Data Wrangling Techniques

Analyzing Complex Datasets

Predictive Models and Algorithms

Skilled in Data Visualization Techniques

Time Series Analysis and Forecasting

Strong Foundation in Machine Learning

Data Modeling and Reporting in Power BI

Expertise in Advanced Statistics

Data Mining Techniques

Statistical Computing

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6+ Tools to Master

Adv Excel SQL Power BI 1 Presto python 1 Knime 1

Data Analyst Course Fee in Bangalore

Online Classroom
WEEKDAY WEEKEND
85,044 (Inclusive of taxes)
10% OFF Expires in
Offline Classroom
WEEKDAY WEEKEND
85,044 (Inclusive of taxes)
10% OFF Expires in
*IST (GMT +5:30)

Finance Options

EMI Starts at

₹5,000

We partnered with financing companies to provide very competitive finance options at 0% interest rate

Financing Partners

EMI Partner

The credit facility is provided by a third-party financing company in Bangalore and any arrangement with such financing companies is outside Intellipaat’s purview.

Corporate Training

  • Customized Learning
  • Enterprise Grade Learning Management System (LMS)
  • 24x7 Support
  • Enterprise Grade Reporting

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Data Analytics Syllabus

Live Course Industry Expert Academic Faculty

Getting Started with Foundations of Data Analytics

Diving into Structured Query Language (SQL) for Data Management

Preview
  • Gain a basic understanding of SQL, including the Entity Relationship Model (ERM) and database normalization concepts
  • Elaborate SQL operators and demonstrate operations such as joins and subqueries
  • Learn how to use stored procedures, views, and SQL functions to manipulate and retrieve data efficiently
  • Explain SQL optimization strategies to improve performance and manage database concurrency to maintain data integrity, consistency, and isolation
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  • Exploring the basics of Python programming and how to set up IDEs. Also, understand the fundamental concepts of Python, such as syntax, data types, operators, and control structures
  • Grasping the Object-Oriented Programming (OOP) concepts, including classes, objects, inheritance, and polymorphism
  • Acquire practical experience with data manipulation using Python libraries such as NumPy and Pandas and learn to visualize data
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  • Learn the concepts of Descriptive Statistics, covering measures of Central Tendency, Dispersion, and Data Visualization Techniques, and understanding the application of probability for decision-making and statistical modeling
  • Dive into Inferential Advanced Statistics, including hypothesis testing and confidence intervals
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Learn Machine Learning Algorithms and Advanced Analytics Techniques

  • Understanding Fundamental of Machine Learning Concepts: Supervised and Unsupervised Learning, Model Evaluation, Clustering algorithms, and Feature Engineering
  • Learn Regression and its types (linear, logistic, and polynomial regression)
  • Explore Classification Algorithms, covering Decision Trees, Support Vector Machines, and Neural Networks
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  • Learn how to develop Classification reports using metrics such as Precision, Recall, Accuracy, Macro average, and Weighted Average
  • Describe how to Use the Confusion Matrix for Model Evaluation and Monitoring
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  • Performing time series data analysis, gathering insights and practical forecasting solutions using time series forecasting
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Learn how to build AI agents from scratch for Data Analyst Workloads

  • Understand what Agentic AI is and it use
  • Get to know what LLMs are, and how to use LLMs for reasoning and analysis
  • Learn how to build a data assistant using Agno/ LangChain
  • Evaluate and integrate Pandas, Excel (openpyxl), Matplotlib in your Agentic AI workflow
  • Hands-on: Building an agent that can output CSV reports and auto-generated visualisations, by following the workflow below:
    • Load a CSV or Excel file
    • Clean and transform the data
    • Generate key descriptive statistics
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  • Learn how to create and re-use analysis prompts for different business domains
  • Know how to Generate insights: correlations, trends, KPIs via custom Agentic Workflows.
  • Understand how to generate visual dashboards using agent-generated JSON config (e.g., for Power BI)
  • Learn how to ese memory to track user queries or datasets in Agents
  • Hands-on: Learn to build an agent that can, take user prompts like “Show me top 5 regions by sales” and Respond with charts + brief insight in natural language
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Implementing Real-world Business Applications, Case Studies, and Capstone Projects

  • Grasp different business domains such as finance, marketing, retail, and supply chain and articulate their distinct functions
  • Gain knowledge about formulating hypotheses for numerous business problems on samples and populations
  • Study about exploratory data analysis (EDA) and how it facilitates the foolproof production of actionable insights
  • Study how to narrate business problems and solutions in a simple, relatable format that makes them easier to understand, grasp, and recall
  • Develop actionable insights from raw, unstructured data to deploy real-world business solutions
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  • Define the problem statement and project objectives to contrast the scope of the data analytics capstone project. Alongside, build an approach to solving the problem by implementing optimal solutions using data analysis and modeling techniques
  • Use evaluation metrics and actionable insights to assess the performance of the optimal solutions
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  • In this case study on Customer churn, you will be using predictive modeling to find the causes of customer attrition to enhance customer retention
  • This case study on sales forecasting uses statistical methods and predictive analytics. It implements historical data and statistical techniques to predict future sales trends for better decision-making
  • Using Census Data for Demographic Insights, this case study analyzes demographic data to guide product development and targeted marketing strategies
  • This case study on predictive modeling focuses on real-world scenarios to improve decision-making and operational efficiency
  • This case study on HR Analytics uses workforce data to forecast turnover and improve recruitment and performance tactics
  • This case study on dimensionality reduction techniques illustrates the use of methods such as PCA to streamline datasets, improving model performance and efficiency
  • In this housing price prediction case study, implement statistical methods to predict real estate prices based on affecting factors
  • This case study on customer segmentation focuses on finding various customer segments for customized marketing and better experiences
  • In this inventory management case study, you will be using analytics to optimize inventory stocks, reduce capex and opex, and ensure product availability
  • In this case study on disease prediction, you will be implementing machine learning on patient data to analyze disease occurrence and take the necessary steps
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Elective

  • Mastering Excel For Data Analytics, Visualization, and VBA macros for automation
  • Explore the methods for ensuring data and file security
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  • Demonstrate Data Visualization and Analytics with Power BI for Managing Reports and Dashboards
  • Explore real-time applications of DAX in developing reports and dashboards
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  • Learning Job Search Strategies to establish networking and interview skills
  • Learn how to build an effective resume and manage a LinkedIn profile
  • Interview Preparation and Mock Interview Sessions Led by Industry Professionals
  • Placement opportunities with 400+ hiring partners upon passing the Placement Readiness Test (PRT)
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Data Analytics Projects

Career Services

Career Services
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Offering Placement Assistance
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Get an Exclusive access to Intellipaat Job portal
Guide Mock Interview Preparation
1-on-1 Sessions for Career Mentoring
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Offering Career-Oriented Sessions
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Guide for Resume & LinkedIn Profile Building
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Advanced Certification in Data Analytics Image Click to Zoom

Data Analyst Certification

Get your Data Analytics Certification from iHUB IIT Roorkee. Learn Python, SQL, statistics, and Power BI while exploring advanced AI and ChatGPT modules from our industry experts and IIT professors. Benefit from IIT faculty-led training, real-world projects, and placement assistance through our 3100+ hiring partners.

Along with that, you will also be able to pass the following certifications:

  • SQL Certification
  • Power BI Certification

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FAQ

About iHUB Divyasampark, IIT Roorkee

iHUB DivyaSampark at IIT Roorkee, recognized under the National Mission on Interdisciplinary Cyber-Physical Systems (NM-ICPS) by the Department of Science and Technology (DST), with emphasis on promoting innovation in more advanced technologies such as AI, ML, and more. The hub is pivotal in technology development, incubation, and startups, particularly in sectors like healthcare, Industry 4.0, smart cities, and defence.

To meet market demands and promote a self-reliant India, iHUB DivyaSampark is working with industry and government to advance CPS by integrating smart devices with next-generation technologies.

Our Data Analytics Certification Course is in association with iHUB IIT Roorkee. It is industry-designed and developed for you to fast-track your career in Data Analytics. If you don’t want to get into the nitty-gritty of programming and spend long hours coding, then this program is for you.

This online Data Analyst Course involves the following:

  1. Real-time industry experience via real-life projects
  2. The course is completely aligned with job descriptions listed by Fortune 500 companies.
  3. You will receive lifetime access to the Data Analyst Course and its material, a lifetime upgrade, and 24/7 support.

If you are looking for free resources on Data Analytics, check out our YouTube channel for free videos and our blogs on data analytics tutorials and interview questions.

Data Analysis is the process of data cleaning, transformation, and reporting that produces essential information which can help in better decision-making.

Here are some of the top Data Analytics tools/programming languages:

  • R programming
  • Power BI
  • Python Programming
  • QlikView
  • RapidMiner
  • KNIME
  • Excel
  • Apache Spark
  • Splunk

A career path in Data Analytics is a promising choice and one of today’s most renowned careers. After completing this training, you can find jobs in this field at various global companies and industries.

The Bureau of Labor Statistics predicts that the demand for Data Analytics professionals will increase by 23% by 2026.

To become a Data Analyst, you must have the following things:

  • A Bachelor’s degree for entry-level jobs.
  • A master’s degree for higher-level positions.

A bachelor’s degree is required to work as a Data Analyst. The degree need not be from a specific discipline; however, a degree in computer science, probability, or mathematics can be beneficial; however, it is not compulsory. Focus on developing skills first, then qualifications.

For those who prefer to learn at their own pace, i.e., through recorded videos, Intellipaat provides self-paced training. You will also receive benefits from this training, such as lifetime access to the LMS for learning modules and email query resolution. Also, you will get the updated version of the Course material at no additional cost.

To be eligible for the placement pool, the learner must complete the Data Analyst training and submit all projects and assignments. After this, they must pass the Placement Readiness Test (PRT) to enter the placement pool and access our job portal along with career mentoring sessions.

Intellipaat helps fresh college graduates with its placement assistance programs. Once you clear the PRT, you will be moved to the placement pool.

Intellipaat’s Data Analyst course, in collaboration with IIT Roorkee, aims to equip learners with a comprehensive understanding of statistical techniques, extraction, data analysis and Big Data Analytics. Advanced Microsoft Excel techniques like VBA script for automation will be coverted. It also focuses on mastering data visualization tools like Power BI, for organizing data effectively, designing insightful dashboards, and acquiring practical skills through real-world case studies and projects to enhance career prospects in data analytics.

The overall time duration of this course is 7 months.

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Our Bangalore Mailing Address

Data Analytics Course in Bangalore. Address – 6th Floor, Primeco Towers, Arekere Gate Junction, Bannerghatta Main Road, Bengaluru, Karnataka – 560068, India. Call Us: +91-7022374614