Courses

Back

Corporate Training Hire From Us Explore Courses
Intellipaat collaboration image

Data Science Course in Bangalore

92,113 Ratings

Become a Data Scientist in 7 months by working on real-world case studies and projects through an online Data Science Course in Bangalore

  • Data Scientist Certification in Bangalore from iHUB, IIT Roorkee (An Innovation Hub of IIT Roorkee)
  • Learn Data Science from eminent IIT Faculty & top Industry Experts in Bangalore
  • Latest Curriculum with Chat-GPT & Generative AI Modules
  • Master Data Science Tools and Techniques
  • 2 Days Campus Immersion at IIT Roorkee

Ranked #1 Data Science Course by India TV

Intellipaat courses

Watch

Course Preview

Data Scientist Course Key Highlights

50+ Live sessions across 7 months
218 Hrs Self-paced Videos
200 Hrs Project & Exercises
Learn from IIT Roorkee Faculty and Industry Practitioners
1:1 with Industry Mentors and 24*7 Support
Resume Preparation and LinkedIn Profile Review
Campus Immersion at IIT Roorkee
No-cost EMI Option
Reviews Image 1429
Reviews Image 3332
Reviews Image 24068

Data Science Course in Bangalore Overview

Why should you take up data science training in Bangalore?

Here are some of the reasons to take up this data science course in Bangalore:

  • As per Glassdoor, the average income of Data Scientists in India is about ₹976k per annum
  • LinkedIn has over 3,000 Data Science job opportunities in India
  • Data Scientist is the best job of the 21st century – Harvard Business Review
  • The global Big Data market to reach US$122 billion in revenue in 6 years – Frost & Sullivan
  • The number of jobs for all the US data professionals will increase to 2.7 million per year – IBM

Today, almost all industry verticals, regardless of their customer orientation, are actively hiring data scientists, which makes it truly worthwhile to get certified.

Intellipaat is a premier online coaching institute that offers the best data science courses in Bangalore, which help you master concepts such as:

  1. Data analysis, project life cycle, and Data Science in the real world
  2. Machine Learning algorithms
  3. Techniques of evaluation, experimentation, and project deployment
  4. Analysis segmentation using clustering and the technique of prediction
  5. Python with Data Science
  6. Git, Storytelling
  7. Data Science at scale with PySpark, AI with TensorFlow
  8. Deploying Machine Learning models on Clouds (MLOps)
  9. Data visualization with Tableau
  10. Natural Language Processing and its applications
  11. Microsoft Excel for data analysis and data transformation
  12. Data Science projects, analytics, and recommender systems

It is beneficial to have a fundamental-level understanding of mathematics for this data science training in Bangalore.

According to Glassdoor, the average income of a Data Scientist in Bangalore is ₹16 Lakhs per year.

Some job opportunities that you can find after this data science course in Bangalore are:

  • Data Scientist
  • Machine Learning Engineer
  • Data Analyst
  • Data Engineer
  • Research Scientist

Top companies that hire data scientists are:

  • Fidelity Investments
  • Accenture
  • Aon
  • Oath
  • MSD
  • Intel
  • Amazon
  • Google

In this data science training in Bangalore, we have included real-world industry-based projects, which help you gain hands-on experience in the field and prepare you for challenging roles.

Industry Project Name Objective
BFSI Fraud Detection in Banking System Deploying Data Science to detect fraudulent activities and take remedial actions
Entertainment Movie Recommendation Engine Building a movie recommendation engine, based on user interests
E-commerce Making Sense of Customer Buying Patterns Deploying target sales to customers
View More

Talk To Us

We are happy to help you 24/7

With data collection, ‘the sooner, the better’ is the best answer. - The CEO of Yahoo
Everything is going to be connected with data and mediated by software - The CEO of Microsoft
The world is now awash in data, and we can see consumers more cleanly - The Co-founder of PayPal

Career Transition

55% Average Salary Hike

$1,20,000 The Highest Salary

12000+ Career Transitions

500+ Hiring Partners

Career Transition Handbook

*Past record is no guarantee of future job prospects

Meet the Data Science Mentors

Who can apply for this Data Science Course in Bangalore?

  • Information Architects and Statisticians
  • Developers looking to master Machine Learning and Predictive Analytics
  • Big Data, Business Analysis, Business Intelligence, and Software Engineering Professionals
  • Aspirants who are looking to work as Machine Learning Experts, Data Scientists, etc.
  • Anyone who wants to learn machine learning, artificial intelligence, data visualization, data analytics, data structures, and algorithms (DSA).
Who can apply

What role does a Data Scientist play?

Data Scientist

Design and implement scalable codes alongside effectively developing high-quality applications.

Analytics and Insights Analyst

Develop solutions for fixing quality issues in the data upon investigating the reported errors in the data.

AI & ML Engineer

Use Lambda functions and API Gateway to integrate machine learning models into web apps and deploy models in SageMaker.

Data Engineer & Data Analyst

Perform data cleansing, and data transformation, analyze the outcomes, and present the insights in reports and dashboards.

Junior Data Scientist

Analyze the operating behavior using advanced statistical techniques and tools. Also, create algorithms with prescriptive and descriptive methods.

Applied Scientist

Derive intelligence for business products through designing and developing machine learning models.

View More

Skills Covered

Python

Data Science

Data Analysis

AI

GIT

MLOps

Data Wrangling

SQL

Story Telling

Machine Learning

Prediction algorithms

NLP

PySpark

Model

Data visualization

View More

Tools Covered

pyspark python jupyter Scipy numpy pandas matplotlib tensorflow SQL tableau excel git SparkSQL
View More

Data Science Course Fees in Bangalore

Online Classroom Preferred

  • Live Classes from iHUB IIT Roorkee Faculty & Industry Experts
  • Certification from iHUB IIT Roorkee
  • Career Services (Mock Interviews, Resume Preparation)
  • Placement Assistance upon clearing PRT
  • Dedicated Learning Manager
19 Mar

TUE - FRI

07:00 AM TO 09:00 AM IST (GMT +5:30)

24 Mar

SAT - SUN

10:00 AM TO 01:00 PM IST (GMT +5:30)

31 Mar

SAT - SUN

08:00 PM TO 11:00 PM IST (GMT +5:30)

07 Apr

SAT - SUN

08:00 PM TO 11:00 PM IST (GMT +5:30)

$1,229 10% OFF Expires in

Corporate Training

  • Customized Learning
  • Enterprise grade learning management system (LMS)
  • 24x7 Support
  • Enterprise grade reporting

Contact Us

Data Science Course in Bangalore Syllabus

Live Course Self Paced Industry Expert Academic Faculty

Module 1 – Preparatory Session - Linux and Python

Preview

Python 

  • Introduction to Python and IDEs– The basics of the Python programming language, and how you can use various IDEs for Python development, like Jupyter, Pycharm, etc.
  • Python Basics –Variables, Data Types, Loops, Conditional Statements, Functions, Decorators, Lambda Functions, File Handling, Exception handling,etc.
  • Object Oriented Programming– Introduction to OOP concepts like classes, objects, inheritance, abstraction, polymorphism, encapsulation, etc.
  • Hands-on Sessions And Assignments for Practice– The culmination of all the above concepts with real-world problem statements for better understanding

Linux

  • Introduction to Linux– Establishing the fundamental knowledge of how Linux works and how you can begin with Linux OS
  • Linux Basics –File Handling, data extraction, etc.
  • Hands-on Sessions And Assignments for Practice – Strategically curated problem statements for you to start with Linux
Download Brochure

Module 2 – Data Wrangling with SQL

Preview

SQL Basics – 

  • Fundamentals of Structured Query Language
  • SQL Tables, Joins, and Variables

Advanced SQL –  

  • SQL Functions, Subqueries, Rules, Views
  • Nested Queries, string functions, pattern matching
  • Mathematical functions, Date-time functions, etc. 

Deep Dive into User Defined Functions

  • Types of UDFs, Inline table value, multi-statement table
  • Stored procedures, rank function, SQL ROLLUP, etc.

SQL Optimization and Performance

  • Record grouping, searching, sorting, etc.
  • Clustered indexes, common table expressions

Hands-on exercise: 

Writing comparison data between the past year and the present year with respect to top products, ignoring the redundant/junk data, identifying the meaningful data,  and identifying the demand in the future (using complex subqueries, functions, and pattern matching concepts).

Download Brochure

Extract Transform Load

  • Web Scraping, Interacting with APIs

Data Handling with NumPy

  • NumPy Arrays, CRUD Operations, etc.
  • Linear Algebra – Matrix multiplication, CRUD operations, Inverse, Transpose, Rank, Determinant of a matrix, Scalars, Vectors, and Matrices

Data Manipulation Using Pandas

  • Loading the data, data frames, series, CRUD operations, splitting the data, etc.

Data Preprocessing

  • Exploratory Data Analysis, Feature engineering, Feature scaling, Normalization, standardization, etc.
  • Null Value Imputations, Outliers Analysis and Handling, VIF, Bias-variance trade-off, cross-validation techniques, train-test split, etc.

Data Visualization

  • Bar charts, scatter plots, count plots, line plots, pie charts, donut charts, etc. with Python matplotlib
  • Regression plots, categorical plots, area plots, etc. with Python seaborn
Download Brochure

Descriptive Statistics – 

  • Measure of central tendency, the measure of spread, five points summary, etc. 

Probability 

  • Probability Distributions, Bayes’ theorem, and central limit theorem

Inferential Statistics –  

  • Correlation, covariance, confidence intervals, hypothesis testing, F-test, Z-test, t-test, ANOVA, chi-square test, etc.
Download Brochure

Introduction to Machine Learning 

  • Supervised, Unsupervised Learning
  • Introduction to scikit-learn, Keras, etc.

Regression 

  • Introduction classification problems, Identification of a regression problem, dependent and independent variables
  • How to train the model in a regression problem
  • How to evaluate the model for a regression problem
  • How to optimize the efficiency of the regression model

Classification 

  • Introduction to classification problems, Identification of a classification problem, and dependent and independent variables
  • How to train the model in a classification problem
  • How to evaluate the model for a classification problem
  • How to optimize the efficiency of the classification model

Clustering 

  • Introduction to clustering problems, Identification of a clustering problem, dependent and independent variables
  • How to train the model in a clustering problem
  • How to evaluate the model for a clustering problem
  • How to optimize the efficiency of the clustering model
Download Brochure

Supervised Learning 

  • Linear Regression– Creating linear regression models for linear data using statistical tests, data preprocessing, standardization, normalization, etc.
  • Logistic Regression– Creating logistic regression models for classification problems – such as if a person is diabetic or not, if there will be rain or not, etc.
  • Decision Tree– Creating decision tree models on classification problems in a tree like format with optimal solutions
  • Random Forest– Creating random forest models for classification problems in a supervised learning approach
  • Support Vector Machine– SVM or support vector machines for regression and classification problems
  • Gradient Descent– Gradient descent algorithm that is an iterative optimization approach to finding the local minimum and maximum of a given function
  • K-Nearest Neighbors– A simple algorithm that can be used for classification problems
  • Time Series Forecasting – Making use of time series data and gathering insights and useful forecasting solutions using time series forecasting

Unsupervised Learning 

  • K-means – The k-means algorithm that can be used for clustering problems in an unsupervised learning approach
  • Dimensionality reduction – Handling multi-dimensional data and standardizing the features for easier computation
  • Linear Discriminant Analysis –  LDA or linear discriminant analysis to reduce or optimize the dimensions in the multidimensional data
  • Principal Component Analysis – PCA follows the same approach in handling the multidimensional data
Download Brochure
  • Classification reports– To evaluate the model on various metrics like recall, precision, f-support, etc.
  • Confusion matrix– To evaluate the true positive/negative, and false positive/negative outcomes in the model
  • r2, adjusted r2, mean squared error, etc.
Download Brochure

Artificial Intelligence Basics 

  • Introduction to keras API and TensorFlow

Neural Networks

  • Neural networks
  • Multi-layered Neural Networks
  • Artificial Neural Networks 

Deep Learning

  • Introduction to Deep Learning (by Academic Faculty)
  • Deep neural networks
  • Convolutional Neural Networks
  • Recurrent Neural Networks
  • GPU in deep learning
  • Autoencoders, restricted Boltzmann machine
Download Brochure

The Data Science capstone project focuses on establishing a strong grasp of analyzing a problem and coming up with solutions based on insights from the data analysis perspective. The capstone project will help you master the following verticals:

  • Extracting, loading and transforming data into usable format to gather insights
  • Data manipulation and handling to pre-process the data
  • Feature engineering and scaling the data for various problem statements
  • Model selection and model building on various classification, and regression problems using supervised/unsupervised machine learning algorithms
  • Assessment and monitoring of the model created using the machine learning models
Download Brochure

Electives:

Power BI Basics

  • Introduction to Power BI, Use cases and BI Tools , Data Warehousing, Power BI components, Power BI Desktop, workflows and reports , Data Extraction with Power BI
  • SaaS Connectors, Working with Azure SQL database, Python and R with Power BI
  • Power Query Editor, Advance Editor, Query Dependency Editor, Data Transformations, Shaping and Combining Data ,M Query and Hierarchies in Power BI

DAX 

  • Data Modeling and DAX, Time Intelligence Functions, DAX Advanced Features

Data Visualization with Analytics  

  • Slicers, filters, Drill Down Reports
  • Power BI Query, Q & A and Data Insights
  • Power BI Settings, Administration and Direct Connectivity
  • Embedded Power BI API and Power BI Mobile
  • Power BI Advance and Power BI Premium

Hands-on Exercise:

Creating a dashboard to depict actionable insights in sales data

Download Brochure

Excel Fundamentals 

  • Reading the Data, Referencing in formulae , Name Range, Logical Functions, Conditional Formatting, Advanced Validation, Dynamic Tables in Excel, Sorting and Filtering
  • Working with Charts in Excel, Pivot Table, Dashboards, Data And File Security
  • VBA Macros, Ranges and Worksheet in VBA
  • IF conditions, loops, Debugging, etc.

Excel For Data Analytics 

  • Handling Text Data, Splitting, combining, data imputation on text data, Working with Dates in Excel, Data Conversion, Handling Missing Values, Data Cleaning, Working with Tables in Excel, etc.

Data Visualization with Excel

  • Charts, Pie charts, Scatter and bubble charts
  • Bar charts, Column charts, Line charts, Maps
  • Multiples: A set of charts with the same axes, Matrices, Cards, Tiles

Excel Power Tools 

  • Power Pivot, Power Query and Power View

Classification Problems using Excel

  • Binary Classification Problems, Confusion Matrix, AUC and ROC curve
  • Multiple Classification Problems  

Information Measure in Excel

  • Probability, Entropy, Dependence
  • Mutual Information

Regression Problems Using Excel

  • Standardization, Normalization, Probability Distributions
  • Inferential Statistics, Hypothesis Testing, ANOVA, Covariance, Correlation
  • Linear Regression, Logistic Regression, Error in regression, Information Gain using Regression

Hands-on Exercise:

Classification problem using excel on sales data, and statistical tests on various samples from the population.

Download Brochure
  • Job Search Strategy
  • Resume Building
  • LinkedIn Profile Creation
  • Interview Preparation Sessions by Industry Experts
  • Mock Interviews
  • Placement opportunities with 400+ hiring partners upon clearing the Placement Readiness Test
Download Brochure
View More

Data Science Project Work

Peer Learning

Via Intellipaat PeerChat, you can interact with your peers across all classes and batches and even our alumni. Collaborate on projects, share job referrals & interview experiences, compete with the best, make new friends — the possibilities are endless and our community has something for everyone!

class-notifications
Hackathons
career-services
major-announcements
collaborative-learning

Career Services

Career Services

Career Oriented Sessions

Throughout the course

Over 10+ live interactive sessions with an industry expert to gain knowledge and experience on how to build skills that are expected by hiring managers. These will be guided sessions that will help you stay on track with your up upskilling.

Resume & LinkedIn Profile Building

After 70% of course completion

Get assistance in creating a world-class resume & LinkedIn profile from our career services team and learn how to grab the attention of the hiring manager at the profile shortlisting stage

Mock Interview Preparation

After 80% of the course completion.

Students will go through a number of mock interviews conducted by technical experts who will then offer tips and constructive feedback for reference and improvement.

1 on 1 Career Mentoring Sessions

After 90% of the course completion

Attend one-on-one sessions with career mentors on how to develop the required skills and attitude to secure a dream job based on a learner’s educational background, past experience, and future career aspirations.

Placement Assistance

Upon movement to the Placement Pool

Placement opportunities are provided once the learner is moved to the placement pool upon clearing Placement Readiness Test (PRT)

Exclusive access to Intellipaat Job portal

After 80% of the course completion

Exclusive access to our dedicated job portal and apply for jobs. More than 400 hiring partners’ including top start-ups and product companies hiring our learners. Mentored support on job search and relevant jobs for your career growth.

Data Science Certification in Bangalore

certificateimage Click to Zoom

The Data Science courses offered aim to upskill millions of students and professionals in trending technologies through a blend of theoretical and hands-on knowledge and are taught by leading academicians.

Upon completion of this data science course in Bangalore, you will:

  • Receive an Advanced Certification in Data Science and AI from iHUB IIT Roorkee ( An Innovation Hub of IIT Roorkee). Receive live lectures from IIT Faculty & Industry Experts

Key achievements of IIT Roorkee:

Data Science Course in Bangalore Reviews

( 92,113 )

Our Alumni Works At

Master Client Desktop

Hear From Our Hiring Partners

Data Science Course in Bangalore FAQs

Why should I learn Data Science Course?

This exclusive Data Science Course in Bangalore, in association with iHUB, IIT Roorkee is designed for professionals who want to expand their knowledge base and start a career in this field. There are many reasons for choosing data science training in Bangalore from Intellipaat:

  • A personal mentor to track your progress
  • Immersive online instructor-led sessions conducted by SMEs
  • Extensive LMS, allowing you to view recorded sessions within 3 hours
  • Real-time exercises, assignments, and projects
  • 24/7 learning support
  • Large community of like-minded learners
  • Industry-recognized Intellipaat badge
  • Personalized job support

In our data science course in Bangalore, you will learn several programming languages, including Python and R. These languages are integral to data analysis, machine learning, and statistical modeling, providing a comprehensive skill set for data science professionals.

Intellipaat is the leading course provider in Bangalore. Our e-learning institute provides top data science courses in Data Analytics, Artificial Intelligence, Machine Learning, R programming language, Python, Python for Data Science, Business Analytics and others to help you gain full control of your data science career path.

To learn data science for free, you need to look at the blogs and YouTube videos published by Intellipaat. Read the top-recommended blogs on its Data Science Interview Questions, Data Science Tutorial, and everything about Data Science.

This data science training in Bangalore is curated by top data scientists from India and the United States. These SMEs have designed the course in such a manner that even if you are from a non-technical background and have almost zero knowledge of this domain, you can still learn and adapt all concepts easily. In this data science course in Bangalore, we provide practical experience through real-time projects that allow even freshers to grasp the concepts easily.

Intellipaat does not directly forward resumes to any companies or recruiters. However, we do have a placement team that will conduct a number of mock interviews and will assist you in updating your resume to prepare you for job interviews. The team thus helps you land a lucrative job in the data science domain.

Absolutely. Our data science course in Bangalore is designed to cater to beginners. It covers fundamental concepts, tools, and techniques, ensuring you gain a solid foundation and progress to advanced topics in data science.

In the career mentoring session at Intellipaat, our data science experts offer solutions to all your queries that are based on career opportunities and the growth available in this domain.

If you wish to enroll in our data scientist course in Bangalore, then you need to first choose between online instructor-led training and self-paced training. Once you do that, you can make the payment using any major credit card, debit card, or EMI option.

Intellipaat selects subject matter experts from top MNCs who have at least 8 to 12 years of experience in the domain, as instructors. They are qualified data science instructors and are selected after going through our rigorous selection process and proving their capabilities.

Intellipaat’s teaching assistants are SMEs whose main aim is to make you a certified professional in the respective domain. The trainers conduct interactive video lectures to teach the latest technologies and enrich your experience with various industry-based projects. The teaching assistance provided by Intellipaat is only available during regular hours.

This data science course in Bangalore comprises all the topics that are required and significant to learn so that you can master this technology. This data science course comprises both basic and advanced-level concepts involved in this technology so that you can learn them and master the skills to pursue a career in this domain. Moreover, the trainers of this course are experts in the domain who spend time and effort to teach you all the concepts in detail.

A leading national daily, The Hindu, recently quoted: ‘By the end of this year, India will face a shortage of nearly 200,000 Data Scientists.’ The supply of data scientists is far less than the demand, and the demand has increased by nearly 400 percent. Bengaluru, the country’s IT capital, now has the highest demand for this role, but only accredited learners can secure a lucrative job.

Since it involves various aspects of advanced technologies, such as machine learning, deep learning, and artificial intelligence, among others, it is comparatively difficult to learn. However, this data science course in Bangalore is offered by IIT Roorkee faculty and industry experts who have a lot of experience in the field. They make all concepts easier to understand as they explain each concept with the help of several real-life examples.

Intellipaat is one of the most affordable e-learning providers today. Kindly check the Data Science Course fees, mentioned in course fee section.

No-cost EMI options are available. For more detailed information, contact our team @ IN: +91-7022374614

Intellipaat provides various group offers and discounts for this data science training in Bangalore as per the size and type of the particular group. If you wish to avail of the discount, you need to get in touch with our course advisors, who will explain to you all the details regarding it.

Intellipaat has been catering to data science enthusiasts from every corner of Bangalore. Whether you reside in Bellandur, BTM Layout, Electronic City, Hebbal, Indira Nagar, HSR Layout, Jayanagar, Koramangala, Marathahalli, Richmond Town, Rajajinagar, Sarjapur, Whitefield, or Vijaynagar, you can avail 24/7 access to our data science training in Bangalore from the comfort of your home or office.

Here is the list of all areas where we provide data scientist course training in Bengaluru:

Areas Pincode
Malleswaram 560003
Basavanagudi 560004
Fraser Town 560005
J. C. Nagar 560006
Agram 560007
HAL 560008
Jalahalli 560014
Doorvaninagar 560016
NAL 560017
Chamrajpet 560018
Gavipuram 560019
Seshadripuram 560020
Gayathrinagar 560021
Yeshwanthpur 560022
Magadi Road 560023
Anandnagar 560024
Deepanjalinagar 560026
Sampangiramnagar 560027
Dharmaram College 560029
Adugodi 560030
Kanakanagar 560032
Agara 560034
Carmelaram 560035
Devasandra 560036
Doddanekkundi 560037
Indiranagar 560038
Nayandahalli 560039
Chandra Layout 560040
Jayanagar 560041
Banaswadi 560043
Benson Town 560046
Austin Town 560047
Hoodi 560048
Bhattarahalli 560049
Ashoknagar 560050
Chickpet 560053
Mathikere 560054
Peenya Dasarahalli 560057
Laggere 560058
RV Niketan 560059
Chudenapura 560060
Chikkalasandra 560061
Doddakallasandra 560062
Yelahanka 560063
Attur 560064
G. K. V. K. 560065
Immedihalli 560066
Devanagundi 560067
Begur 560068
Banashankari 560070
Domlur 560071
Nagarbhavi 560072
Bagalgunte 560073
Kumbalagodu 560074
Jeevabhimanagar 560075
Dr. Shivarama Karanth Nagar 560077
J. P. Nagar 560078
Basaveshwaranagar 560079
Sadashivanagar 560080
Bolare 560082
Bannerghatta Road 560083
Kacharakanahalli 560084
Mahalakshmipuram Layout 560086
Gunjur 560087
Tarabanahalli 560090
Bapagrama 560091
Amruthahalli 560092
C. V. Raman Nagar 560093
Koramangala 560095
Kanteeravanagar 560096
Chikkabettahalli 560097
Kenchanahalli 560098
Bommasandra 560099
Electronics City 560100
HSR Layout 560102
Bellandur 560103
Hampinagar 560104
Haragadde 560105
Anekal 562106
Attibele 562107
Chamarajasagara 562120
Dommasandra 562125
Chikkanahalli 562130
Bagalur 562149
Bettahalsur 562157

 

Intellipaat is offering 24/7 query resolution, and you can raise a ticket with the dedicated support team at any time. You can avail of email support for all your queries. If your query does not get resolved through email, we can also arrange one-on-one sessions with our support team. However, 1:1 session support is provided for a period of 6 months from the start date of your course.

Intellipaat provides placement assistance to all learners who have successfully completed the training and moved to the placement pool after clearing the PRT( Placement Readiness Test) More than 500+ top MNC’s and startups hire Intellipaat learners. Our Alumni works with Google, Microsoft, Amazon, Sony, Ericsson, TCS, Mu Sigma, etc.

Apparently, no. Our job assistance is aimed at helping you land in your dream job. It offers a potential opportunity for you to explore various competitive openings in the corporate world and find a well-paid job, matching your profile. The final decision on hiring will always be based on your performance in the interview and the requirements of the recruiter.

View More

Data Scientist Course in Bangalore

Bangalore, often hailed as the “Silicon Valley of India” or the “Garden City,” is a bustling metropolis in the southern part of the country. Located in the state of Karnataka, Bangalore stands as the capital and largest city. The city has gained recognition as a major technology and innovation hub, hosting numerous IT companies and startups.

Geographically, Bangalore is situated on the Deccan Plateau, providing it with a more moderate climate compared to many other Indian cities. The city experiences a tropical savanna climate, marked by warm to hot temperatures throughout the year. Summers are relatively mild, with temperatures ranging from 20°C to 35°C (68°F to 95°F). Monsoons bring refreshing rains from June to September, and winters are cool and comfortable, with temperatures hovering between 10°C to 20°C (50°F to 68°F).

Our Bangalore Mailing Address

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

Find Other Popular Courses Offered in Bangalore

Data Analytics Business Analyst Power BI