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Data Analytics Course in Bangalore

84,718 Ratings

Rated #1 Data Analyst Course by Economic Times

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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Data Analyst Course Key Features

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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Data Analytics Course in Bangalore 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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Career Transition

55% Average Salary Hike

40 LPA Highest Salary

10000+ Career Transitions

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*Past record is no guarantee of future job prospects

What are the different job roles that I can apply for after this course?

Data Analyst

Data Analysts perform the entire life-cycle of data analysis, create reports and dashboards, identify trends, and monitor KPI metrics.

Data Scientist

A data scientist is responsible for performing statistical analysis to build machine learning systems statistical modeling to visualize insights and develop complex models from large datasets.

Data Analytics Specialist

A data analytics specialist collects, organizes, interprets, and summarizes numerical data to provide usable information.

Visualization and Reporting Analyst

Create data visualizations, such as reports, graphs, presentations, and dashboards, that are eye-catching, interactive, and easy to understand.

Business Intelligence Analyst

Identify, develop, and execute business analysis techniques to allow the team to make essential business decisions.

Business Analyst

Produce detailed reports and dashboards of high quality to give intuitive presentations.

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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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Tools to Master

Adv Excel SQL Power BI 1 Presto python 1 Knime 1

Data Analyst Course Fee in Bangalore

Online Classroom Preferred

  • Everything in Self-Paced Learning, plus
  • 50+ Live sessions across 7 months of Instructor-led Training
  • One to one doubt resolution sessions
  • Attend as many batches as you want for Lifetime
  • Job Assistance
Weekend (Sat-Sun)

14 Dec 2024 08:00 PM - 11:00 PM
Weekend (Sat-Sun)

14 Dec 2024 10:00 AM - 01:00 PM
Weekday (Tue-Fri)

17 Dec 2024 07:00 AM - 09:00 AM
85,044 10% OFF Expires in

EMI Starts at

₹5,000

We partnered with financing companies to provide competitive finance options at 0% interest rate with no hidden costs

Financing Partners

EMI Partner

The credit facility is provided by a third-party credit facility provider in Bangalore and any arrangement with such third party 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 Analyst Course 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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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 Analyst Course in Bangalore Project

Projects will be a part of your Data Analyst Master’s program to consolidate your learning. It will ensure that you have real-world experience in Data Analytics.

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Offering Placement Assistance
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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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Data Analyst Certification in Bangalore

Advanced Certification in Data Analytics Click to Zoom

Our data analyst course in Bangalore are created by IIT professors and experts from top MNCs for professionals to get the top jobs in the best organizations. Further, this data analytics online course includes real-time projects and case studies that are highly valuable in the corporate world.

You will receive the data analytics certification from Intellipaat and iHUB IIT Roorkee (An Innovation Hub of IIT Roorkee). Along with that, you will also be able to clear the following certifications:

  • SQL Certification
  • Power BI Certification

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Data Analyst Course in Bangalore FAQs

What is data analytics?

Data analytics involves examining data sets to draw conclusions and make informed decisions. It utilizes various techniques, tools, and algorithms to extract meaningful insights from data, facilitating business improvement and strategic planning.

Data analysis is the process of data cleaning, transformation, and reporting carried out to generate valuable information that can enable business decision-making.

The data analytics course in Bangalore from Intellipaat, in association with iHUB IIT Roorkee (An Innovation Hub of IIT Roorkee), is an industry-designed course 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 courses on data analytics from Intellipaat are for you.

The online data analytics courses involve the following:

  1. You will work on real-life projects.
  2. You will work on industry-grade assignments with high relevance in the corporate world.
  3. You can apply for the best data analyst and data science jobs at top MNCs.
  4. You will get lifetime access to the course and the course material, along with a lifetime upgrade and 24/7 support.

Of course! With the help of our data analytics course, you will gain the fundamental abilities and information needed to start a successful profession as a data analyst. The comprehensive curriculum covers the key aspects of data analysis, ensuring you are well-prepared for real-world challenges in the field.

If you are looking for free resources on data analytics, then read our blogs on data analytics tutorials and data interview questions, and also visit our Youtube channel for free videos.

Data Analytics: Data analytics involves discovering, interpreting, visualizing, and reporting the patterns in data that can drive business strategy, decisions, and outcomes.

Data Analysis: Data analysis is a subset of the broader field of data analytics. Data analysis consists of specific actions such as data cleaning, transformation, modeling, and questioning to help find useful information from a single and already prepared set of data.

Data Analysts: Data analysts are those professionals who draw meaningful insights from the data. They have both the technical expertise and the communication skills to derive and present quantitative findings to technical and non-technical teams, clients, and stakeholders.

To become a data analyst, you must have the following qualifications:

  • For entry-level jobs, you need to have a Bachelor’s degree.
  • For higher-level positions jobs, you must have a Master’s degree.
  • You should have a degree in the field of statistics, mathematics, computer science, or other similar domains.

You can attain all the necessary skills, gain real-time experience, and receive a certification with the help of Intellipaat’s Data Science with Python.

Having a college degree in the fields of mathematics, probability, or computer science can definitely be beneficial. However, it is not mandatory for you to have the same. The main requirement for becoming a data analyst is that you need to possess the necessary skills in this domain. So, having a degree by enrolling yourself in data science training courses can help you immensely; however, it is still a secondary requirement.

Intellipaat offers Data Analytics Course in Bangalore on different locations mentioned below-

Area Postal Code
Ammrutha Halli 560092
Maruthi Seva Nagar 560033
Kuvempu Layout 560077
Bellandur 560103
Jayanagar III Block 560011
Anandnagar 560024
Nandinilayout 560096
B SK II Stage 560070
Indiranagar 560038
Yelahanka 560063
Chickpet 560053
Domlur 560071
Bansashankari III Stage 560085
Vimanapura 560017
Nagarbhavi 560072
Basaveshwaranagar 560079
Bommanahalli 560068
Mico Layout 560076
Electronic City 560100
Taverekere 560029
Nehru Nagar 560020
Agram 560007
Halsuru Pete 560002
Basavanagudi 560004
R.M.V. Extension II 560094
Jayanagar 560041
Carmelaram 560035
New Thippasandra 560075
Kanakanagar 560032
Nayandahalli 560039
Fraser Town 560005
Jalahalli East 560014
Kacharakanahalli 560084
Malleswaram West 560055
Bannerghatta 560083
Srirampuram 560021
Rajarajeshwarinagar 560098
Sivan Chetty Gardens 560042
Dommasandra 562125
Whitefield 560066
Vidyaranyapura 560097
Bolare 560082
Mathikere 560054
Doddanekkundi 560037
Hampinnagar 560104
C.V.Raman Nagar 560093
Chikkabanavara 560090
Attur 560064
Kumbalagodu 560074
Bhattarahalli 560049
Chikkalasandra 560061
Sharada Nagar 560065
Jalahalli West 560015
H.K.P Road 560051
Jp Nagar III Phase 560078
Sadashiva Nagar 560080
Krishnarajapuram R S 560016
Mahalakshipuram Layout 560086
Guddadahalli 560026
Chudenapura 560060
Vidhana Soudha 560001
Shanthinagar 560027
Rajaji Nagar 560010
Chandapura 560099
Ramakrishna Hegde Nagar 560045
Shalabh Bhatnagar 560012
Peenya 560058
Ashoknagar 560050
Jalahalli Nacen 560013
Banawadi 560043
Malleswaram 560003
Doddakallasandra 560062
K.G Road 560009
Muthusandra 560087
Marathahalli 560056
JC Nagar 560006
Chamrajpet 560018
HSR Layout 560102
Devanagundi 560067
Yeswanthpura 560022
Mahadevapura 560048
Hulsur Bazaar 560008
Magadi Road 560023
Adugodi 560030
Bagalgunte 560073
Devasandra 560036
Rv Niketan 560059
Narasimharaja Colony 560019
Koramangala VI Bk 560095
Agara 560034
Vijayanagar East 560040
Benson Town 560046
Viveknagar S.O 560047
Dasarahalli 560057
Bapagrama 560091
Richmond Town 560025
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Data Analytics Course in Bangalore

Bangalore, often known as the ‘Silicon Valley of India’ or the ‘Garden City,’ is a bustling city in southern India. Geographically, it is situated in the southeastern part of the state of Karnataka.

The city enjoys a moderate climate, with relatively mild summers, monsoon rains, and cool winters. Summers are warm, with temperatures typically reaching around 35°C (95°F), while monsoons bring refreshing rainfall. Winters are pleasant, with temperatures ranging from 10°C to 20°C (50°F to 68°F).

Bangalore is renowned for its growing IT industry, earning it the title of India’s technology capital. It is also a prominent center for education and research, making it a dynamic hub for innovation and knowledge.

Some highlights of the city include:

  • Lalbagh Botanical Garden
  • Bangalore Palace
  • Cubbon Park
  • Vidhana Soudha
  • Innovative Film City

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