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Looking for solid Data Science training in Electronic City? At Besant Technologies, you'll learn Python, SQL, Machine Learning, Power BI, Tableau, Data Analytics, and Generative AI through hands-on projects, real business case studies, and instructor-led classes for freshers, working professionals, and learners from non-IT backgrounds.

Electronic City is packed with IT parks and MNC offices, and demand for skilled Data Scientists in this belt has grown fast, with companies actively hiring for analytics, machine learning, and applied AI roles. This Data Science course in Electronic City is built to help you land a well-paying role at a top MNC, backed by placement support that puts you directly in front of hiring team. whether you train at our Electronic City classroom or join the same course through live online batches from anywhere. Enroll Now 📞 +91 8767260270

Data Science Course in Electronic City

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About the Data Science Course in Electronic City

Every click, purchase, transaction, and customer interaction generates valuable data. Companies that can turn this information into real business decisions gain a genuine edge over competitors. That’s why Data Science has become one of the fastest-growing skill areas across IT, Banking, Healthcare, Retail, Finance, Manufacturing, Logistics, and E-commerce — and Electronic City, with its dense concentration of IT parks and MNCs, sits right at the center of that demand.

Our Data Science Course in Electronic City at Besant Technologies is built to help you understand how data gets collected, analyzed, and turned into decisions businesses actually act on. Instead of leaning on theory alone, the course centers on practical learning, business use cases, and projects that mirror how Data Science gets applied in real workplaces today. You’ll build hands-on experience with Python, SQL, Statistics, Machine Learning, Power BI, Tableau, Data Visualization, and Generative AI. Each module comes paired with guided exercises, project work, and mentor-led sessions, sharpening both your technical skills and how you approach a problem.

Whether you’re a fresher, a working professional, or someone planning a career switch, this Data Science training in Electronic City helps you build practical skills, put together a project portfolio, and prepare confidently for roles in Data Science, Data Analytics, Machine Learning, and Business Intelligence — with placement support guiding you from your first project to your final interview. Ready to get started? Join a free demo session (📞 +91 8767260270), meet our trainers, look through live projects, and see how practical learning at Besant Technologies gets you ready for real Data Science roles.

What You Will Learn

Our Data Science Course follows a practice-first approach, helping you build the skills employers look for through real-world projects, business case studies, and guided mentoring. Every module is designed to prepare you for practical Data Science and Analytics roles. Right here in our Electronic City training sessions:

  • Strong Programming Foundation: Learn Python, SQL, Statistics, NumPy, and Pandas to build a solid base for Data Science.
  • Data Analysis & Visualization: Clean, analyze, and present data using Power BI, Tableau, and interactive dashboards.
  • Machine Learning & AI: Build predictive models, understand AI concepts, and apply algorithms to solve real business problems.
  • Real Business Projects: Work on end-to-end projects using industry datasets to build a portfolio that showcases your practical skills.
  • Generative AI & Prompt Engineering: Learn how modern AI tools can support data analysis, reporting, automation, and productivity.
  • Career Readiness: Develop your GitHub portfolio, improve your resume, practice mock interviews, and receive placement guidance to prepare for Data Science opportunities.
  • Industry Tools: Gain hands-on experience with Jupyter Notebook, Git, Excel, Power BI, Tableau, VS Code, and commonly used Data Science libraries.

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Data Science Course Syllabus

Besant Technologies boasts of being the Best Data Science Training Institute in Electronic City. And the syllabus for this course has been broken down below (not in any specific order) for your convenience.

Data Science with Python Training Syllabus

Module 1: Introduction to Data Science (Duration-1hr)

  • What is Data Science?
  • What is Machine Learning?
  • What is Deep Learning?
  • What is AI?
  • Data Analytics & it’s types

Module 2: Introduction to Python (Duration-1hr)

  • What is Python?
  • Why Python?
  • Installing Python
  • Python IDEs
  • Jupyter Notebook Overview

Module 3: Python Basics (Duration-5hrs)

  • Python Basic Data types
  • Lists
  • Slicing
  • IF statements
  • Loops
  • Dictionaries
  • Tuples
  • Functions
  • Array
  • Selection by position & Labels

Module 4: Python Packages (Duration-2hrs)

  • Pandas
  • Numpy
  • Sci-kit Learn
  • Mat-plot library

Module 5: Importing data (Duration-1hr)

  • Reading CSV files
  • Saving in Python data
  • Loading Python data objects
  • Writing data to csv file

Module 6: Manipulating Data (Duration-1hr)

  •  Selecting rows/observations
  • Rounding Number
  • Selecting columns/fields
  • Merging data
  • Data aggregation
  • Data munging techniques

Module 7: Statistics Basics (Duration-11hrs)

  • Central Tendency
    • Mean
    • Median
    • Mode
    • Skewness
    • Normal Distribution
  • Probability Basics
    • What does mean by probability?
    • Types of Probability
    • ODDS Ratio?
  • Standard Deviation
    • Data deviation & distribution
    • Variance
  •  Bias variance Trade off
    • Underfitting
    • Overfitting
  • Distance metrics
    • Euclidean Distance
    • Manhattan Distance
  • Outlier analysis
    • What is an Outlier?
    • Inter Quartile Range
    • Box & whisker plot
    • Upper Whisker
    • Lower Whisker
    • catter plot
    • Cook’s Distance
  • Missing Value treatments
    • What is a NA?
    • Central Imputation
    • KNN imputation
    • Dummification
  • Correlation
    • Pearson correlation
    • Positive & Negative correlation
  • Error Metrics Duration-3hr
    • Classification
    • Confusion Matrix
    • Precision
    • Recall
    • Specificity
    • F1 Score
  • Regression
    • MSE
    • RMSE
    • MAPE

Module 8: Machine Learning

Module 9: Supervised Learning (Duration-6hrs)

  • Linear Regression
    • Linear Equation
    • Slope
    • Intercept
    • R square value
  • Logistic regression
    • ODDS ratio
    • Probability of success
    • Probability of failure
    • ROC curve
    • Bias Variance Tradeoff

Module 10: Unsupervised Learning (Duration-4hrs)

  • K-Means
  • K-Means ++
  • Hierarchical Clustering

Module 11: Other Machine Learning algorithms (Duration-10hrs)

  • K – Nearest Neighbour
  • Naïve Bayes Classifier
  • Decision Tree – CART
  • Decision Tree – C50
  • Random Forest

For More Details About Data Science with Python Course Click Here! →

Data Science with SAS Training Syllabus

Overview of SAS

  • Introduction and History of SAS
  • Significance of SAS software solutions in various industries
  • Demonstrate SAS Capabilities
  • Job Profile / career opportunities with SAS worldwide?

Base SAS Fundamentals

  • Explore SAS Windowing Environment
  • SAS Tasks
  • Working with SAS Syntax
  • Create and submit a SAS sample program

Data Access & Data Transformation

  • Accessing SAS Data libraries
  • Getting familiar with SAS Data set

Reading SAS data set

  • Introduction to reading data
  • Examine structure of SAS data set
  • Understanding of SAS works

Reading Excel worksheets

  • Using Excel data as input
  • Create as sample program to import and export excel sheets

Reading Raw data from External File

  • Introduction to raw data
  • Reading delimited raw data file (List Input)
  • Using standard delimited data as input
  • Using nonstandard delimited data as input
  • Reading raw data aligned to columns (Fixed or column input)
  • Reading raw data with special instructions (Formatted input)

Writing to an External file

  • Write data values from SAS data set to an external file

Data transformations (Data step processing)

  • Create multiple output datasets from single SAS dataset
  • Writing observations to one or more SAS datasets
  • Controlling which observations and variables to be written to output data

Creating subset of observations using

  • Where condition
  • Conditional processing using: IF statements

Processing Data Iteratively

  • Iterative DO loop processing with END statement
  • DO WHILE & DO UNTIL Statement
  • SAS Array statement

Summarizing data

  • Creating and Accumulating total variable (Retain)
  • Using Assignment statement
  • Accumulating totals for a group of data (BY group)

Manipulating Data

  • Sorting SAS data sets
  • Manipulating SAS data values
  • Presentation of user defined values /data/currency values using FORMAT procedure
  • SAS functions to manipulate char and num data
  • Convert data type form char-to num and num-to-char
  • SAS variables lists/ SAS variables lists range
  • Debugging SAS program
  • Accessing observations by creating index

Restructuring a SAS data set

  • Rotating with the data step
  • Using the transpose procedure

Combining SAS data sets

  • Concatenation
  • Interleaving
  • One to one reading
  • One to one merging (with non-matching)
  • Match merging (Merging types with IN=option)

SAS Access & SAS Connect

  • Validating and cleaning data
  • Detect and correct syntax errors
  • Examining data errors

Analysis & Presentation

  • SAS/REPORTS SAS/GRAPH
  • SAS/STATS SAS/ODS

Producing detailed /Summary Reports

  • Freq Report
  • Means Report
  • Tabulate Report
  • Proc report
  • Summary report
  • Univariate report
  • Contents report
  • Print report
  • Compare proc
  • Copy proc
  • Datasets proc
  • Proc append
  • Proc delete

Generating Statistical Reports using

  • Regression proc
  • Uni/Multivariate proc
  • Anova proc

Generating Graphical reports using

  • Producing Bar and Pie charts (GCHART Proc)
  • Producing plots (GPLOT Proc)
  • Presenting Output Report result in:
  • PDF
  • Text files
  • Excel
  • HTML Files

SAS/SQL Programming

  • Introduction and overview to SQL procedure
  • Proc SQL and Data step comparisons

Basics Queries

  • Proc SQL syntax overview
  • Specifying columns/creating new columns
  • Specifying rows/subsetting on rows
  • Ordering or sorting data
  • Formatting output results
  • Presenting detailed data
  • Presenting summarized data

Sub Queries

  • Non correlated sub queries
  • Correlated sub queries

SQL Joins (Combining SAS data sets using SQL Joins)

  • Introduction to SQL joins
  • Types of joins with examples
  • Simple to complex joins
  • Choosing between data step merges and SQL joins

SET Operators

  • Introduction to set operations
  • Except/Intersect/Union/Outer union operator

Additional SQL Procedures features

  • Creating views with SQL procedure
  • Dictionary tables and views
  • Interfacing Proc SQL with the macro programming language
  • Creating and maintaining indexes
  • SQL Pass-Through facility

SAS Macro Language

  • Introduction to macro facility
  • Generate SAS code using macros
  • Macro compilation
  • Creating macro variables
  • Scope or macro variables
  • Global/Local Macro variables
  • User defined /Automatic Macro variables
  • Macro variables references
  • Combing macro variables references with text
  • Macro functions
  • Quoting (Masking)
  • Creating macro variables in Data step (Call SYMPUT Routine)
  • Obtaining variable value during macro execution (SYMGET function)
  • Creating macro variables during PROC SQL execution (INTO Clause)
  • Creating a delimited list of values
  • Macro parameters
  • Strong Macro using Autocall Features
  • Permanently storing and using stored compiled macro program
  • SAS Macro debugging options to track problems

Basics Statistics

  • Standard deviation
  • Correlation Coefficients
  • Outliers
  • Linear regressions
  • Clustering
  • Chi Square

For More Details About Data Science with Python Course Click Here! →

Data Science with R Training Syllabus

Module 1: Introduction to Data Science (Duration-1hr)

  • What is Data Science?
  • What is Machine Learning?
  • What is Deep Learning?
  • What is AI?
  • Data Analytics & it’s types

Module 2: Introduction to R (Duration-1hr)

  • What is R?
  • Why R?
  • Installing R
  • R environment
  • How to get help in R
  • R Studio Overview

Module 3: R Basics (Duration-5hrs)

  •  Environment setup
  • Data Types
  • Variables Vectors
  • Lists
  • Matrix
  • Array
  • Factors
  • Data Frames
  • Loops
  • Packages
  • Functions
  • In-Built Data sets

Module 4: R Packages (Duration-2hrs)

  • DMwR
  • Dplyr/plyr
  • Caret
  • Lubridate
  • E1071
  • Cluster/fpc
  • Data.table
  • Stats/utils
  • Ggplot/ggplot2
  • Glmnet

Module 5: Importing Data (Duration-1hr)

  • Reading CSV files
  • Saving in Python data
  • Loading Python data objects
  • Writing data to csv file

Module 6: Manipulating Data (Duration-1hr)

  • Selecting rows/observations
  • Rounding Number
  • Selecting columns/fields
  • Merging data
  • Data aggregation
  • Data munging techniques

Module 7: Statistics Basics (Duration-11hrs)

  • Central Tendency
    • Mean
    • Median
    • Mode
    • Skewness
    • Normal Distribution
  •  Probability Basics
    • What does mean by probability?
    • Types of Probability
    • ODDS Ratio?
  • Standard Deviation
    • Data deviation & distribution
    • Variance
  • Bias variance Trade off
    • Underfitting
    • Overfitting
  • Distance metrics
    • Euclidean Distance
    • Manhattan Distance
  • Outlier analysis
    • What is an Outlier?
    • Inter Quartile Range
    • Box & whisker plot
    • Upper Whisker
    • Lower Whisker
    • Scatter plot
    • Cook’s Distance
  • Missing Value treatments
    • What is a NA?
    • Central Imputation
    • KNN imputation
    • Dummification
  • Correlation
    • Pearson correlation
    • Positive & Negative correlation

Module 8: Error Metrics (Duration-3hrs)

  • Classification
    • Confusion Matrix
    • Precision
    • Recall
    • Specificity
    • F1 Score
  • Regression
    • MSE
    • RMSE
    • MAPE

Module 9: Machine Learning

Module 10: Supervised Learning (Duration-6hrs)

  • Linear Regression
    • Linear Equation
    • Slope
    • Intercept
    • R square value
  •  Logistic regression
    • ODDS ratio
    • Probability of success
    • Probability of failure
    • ROC curve
    • Bias Variance Tradeoff

Module 11: Unsupervised Learning (Duration-4hrs)

  • K-Means
  • K-Means ++
  • Hierarchical Clustering

Module 12: Machine Learning using R (Duration-10hrs)

  • Linear Regression
  • Logistic Regression
  • K-Means
  • K-Means++
  • Hierarchical Clustering – Agglomerative
  • CART
  • 5.0
  • Random forest
  • Naïve Bayes

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Upcoming Batch Schedule for Data Science Training in Electronic City

Besant Technologies provides flexible timings to all our students. Here are the Data Science Training in Electronic City, Bangalore Class Schedule. If this schedule doesn’t match please let us know. We will try to arrange appropriate timings based on your flexible timings.

  • 27-07-2026 Mon (Mon - Fri)Weekdays Batch 08:00 AM (IST)(Class 1Hr - 1:30Hrs) / Per Session Get Fees
  • 30-07-2026 Thu (Mon - Fri)Weekdays Batch 08:00 AM (IST)(Class 1Hr - 1:30Hrs) / Per Session Get Fees
  • 25-07-2026 Sat (Sat - Sun)Weekend Batch 11:00 AM (IST) (Class 3Hrs) / Per Session Get Fees
Data Science Course in Electronic City

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Meet Akash – Expert Data Science Training in Electronic City

Choosing the right Data Science Training in Electronic City can shape how much you actually walk away with from the course. Akash has guided 6,800+ learners, including freshers, working professionals, and career switchers from non-IT backgrounds, through hands-on, project-driven training built around solving real problems, not memorizing theory. His classroom and live online sessions have reached learners across India, USA, UK, UAE, Australia, Canada, Singapore and New Zealand.
Industry Background, Practical Teaching

  • Current Data Science Skills: Python, SQL, Machine Learning, Deep Learning, NLP, Power BI, Tableau, Generative AI, AI Agents, LangChain, RAG, MCP, and MLOps — taught through real business scenarios, not textbook examples.
  • Hands-On, Project-First Learning: Build portfolio-ready projects, AI-powered solutions, dashboards, and predictive models using genuine industry datasets.
  • Mentoring Woven Into the Course: Project reviews, GitHub guidance, ATS-friendly resume support, LinkedIn optimization and mock interviews — part of the training itself, not an afterthought tacked on at the end.

Why Learners in Electronic City Choose This Training

  • 6,800+ Learners Mentored across both IT and non-IT backgrounds
  • Classroom Data Science Training in Electronic City paired with live online batches for learners joining from anywhere.
  • A Trainer Known Well Beyond One City — students have joined from India, the USA, UK, UAE, Australia, and further still.

Built Around Actually Getting You Hired

  • Interview Preparation: Technical mock interviews, coding practice, and scenarios pulled from real hiring rounds.
  • A Portfolio That Speaks for You: A strong GitHub profile, ATS-friendly resume, and a polished LinkedIn presence.
  • 100% Placement Support: Hands-on guidance aimed at Data Science roles across Electronic City, Bengaluru, Hyderabad, Pune, and other major tech hubs.

Book a Free Demo with Akash 📞 +91 8767260270 — Start Your Data Science Journey in Electronic City

Find your next job with Besant

400+ Students getting placed every month from startup to top level MNC's with decent package after doing course.

Placement record Get your job

Data Science Certification Course in Electronic City - Besant Technologies

Besant Technologies Certification is Accredited by all major Global Companies around the world. We provide after completion of the theoretical and practical sessions to fresher’s as well as corporate trainees.

Our certification at Besant Technologies is accredited worldwide. It increases the value of your resume and you can attain leading job posts with the help of this certification in leading MNC’s of the world. The certification is only provided after successful completion of our training and practical based projects.

Data Science Course in Electronic City

How to Earn Your Data Science Certification in Electronic City

Complete the Data Science Course in Electronic City and earn a Besant Technologies Course Completion Certificate that reflects your practical expertise in today’s Data Science ecosystem. Not every certificate holds weight but this Data Science Certification training in Electronic City does, because it’s tied to work you’ve actually done. Before it’s awarded, you’ll need to clear three real checkpoints:

  • Finish the Full Curriculum: Every core module completed — Python, Statistics, Machine Learning, Deep Learning, and current areas like Generative AI and MLOps
  • Ship a Working Project: Build and deploy a Data Science project on a real dataset, including exposure to in-demand tools like LangChain, RAG pipelines, and AI agent workflows.
  • Prove You Can Apply It: Hands-on proficiency check across Python, SQL, model building, cloud deployment basics, and a visualization tool like Power BI or Tableau.

What It Actually Opens Up for You

  • A Resume Recruiters Notice: ATS-friendly resume formatting, LinkedIn profile optimization to attract recruiter searches, and portfolio guidance so your GitHub and project work back up everything on paper. Besant Technologies is a recognized name across Bangalore’s IT Hub, and hiring managers in Electronic City, and beyond know what this certification represents — real, project-tested skill, not just attendance.
  • A Clear Path to Roles Like: Data Analyst, Machine Learning Engineer, Business Intelligence Analyst, and emerging roles in Applied AI
  • Weight That Travels: Whether you’re job-hunting in Electronic City, elsewhere in Bangalore, or applying abroad (US, UK, and UAE), a certificate from Besant Technologies reflects skills you can genuinely back up in an interview — including the AI-driven tools companies are actively hiring for right now.

Key Features of Data Science Course in Electronic City

Besant technologies provide one of the most complete Data Science courses available in Electronic City, blending technical depth with the practical skills companies are actually hiring for right now. We close the gap between classroom learning and the fast-moving demands of Bangalore’s IT corridor, so what you learn here holds up in a real interview, not just a quiz.
Mentorship & Reach

  • Real Industry Experience: Train directly under Akash, who brings hands-on, enterprise-level work in Analytics, Machine Learning, and end-to-end model deployment.
  • A Genuinely Global Batch: Learn alongside students from India, the USA, UAE, UK, and Australia, in a curriculum shaped around global hiring standards.
  • Learn However Fits You: Pick classroom Data Science training in Electronic City or join live online batches, with flexible weekday and weekend timings either way.

A Curriculum Built for Where the Industry Stands Today

  • Current Technology Stack: Get practical exposure to Python, SQL, Machine Learning, Deep Learning, NLP, Power BI, Tableau, LangChain, RAG, MLOps, Docker, Git & GitHub, and Cloud Deployment.
  • Past the Fundamentals: Hands-on work with Deep Learning, NLP, and current areas like Generative AI, LangChain, and MLOps.
  • Skills Built for Deployment: Learn to move a model from notebook to production, not leave it sitting as a one-off experiment.
  • Portfolio Work Baked In: Structured projects designed to become the GitHub portfolio you’ll actually show recruiters.

Placement Support That Extends Classroom

  • A Curriculum Shaped by Industry Need: Data Science training in Electronic City covering Python, SQL, Machine Learning, Deep Learning, Data Analytics, Power BI, Tableau, MLOps, LangChain, RAG, and current data engineering practices.
  • Training With Placements in Mind: Preparation for Data Science roles across Bangalore through technical mock interviews, coding practice, ATS-friendly resume building, LinkedIn optimization, and placement mentoring.
  • Guided Placement Preparation: Structured support through mock interviews, coding practice, resume building, and LinkedIn optimization — aimed at helping you pursue Data Science roles across Electronic City, Bengaluru, and other major IT hubs with genuine confidence.
  • Industry-Recognized Course Completion – Earn a Besant Technologies Data Science Course Completion Certificate after successfully completing practical assignments, technical assessments, and project evaluations. Get Started — Book Your Free Demo Class in Electronic City 📞 +91 87672 60270.

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Training Courses Reviews

I knew a bit of Excel, nothing more. The Data Science course in Electronic City started from Python basics and moved up step by step. Machine Learning was hard at first but trainer Akash broke it down using real datasets, not just slides. got placed at Cognizant as a Junior Data Analyst right after my capstone project.

R

Rakesh

Was doing basic reporting work, wanted to move into real Data Science roles. I joined the online Data Science training in Electronic City on weekends while working full time. Already knew Power BI and SQL, but Machine Learning and Python were completely new. This hands-on projects made it click fast. Moved into a Data Analyst role with a good hike after finishing data science course in Electronic city.

M

Meghana

I’m civil engineering background so this felt like a huge jump for me. what helped was the Data Science training in Electronic City had us working with real business case studies from day one, not just lectures. The placement team rebuilt my entire resume since I had zero tech background on paper. got an interview calls within a month of finishing my projects.

V

Vignesh Kumar

I Joined the Data Science course in Electronic City at Besant Technologies to get real hands-on experience, not just theory. Trainer Akash explained everything using business examples and walked us through Python, SQL, Machine Learning, Power BI, Tableau, LangChain, RAG, MLOps, and current data workflows. Now starting my career as a Data Scientist, genuinely thankful to Besant Technologies for making this happen.

D

Divya

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Frequently Asked Questions

Why choose Besant Technologies for a Data Science Course in Electronic City??

Besant Technologies offers practical training, industry-focused projects, experienced trainers, flexible batches, certification, and dedicated placement support to help learners build job-ready Data Science skills.
How can I enroll in the Data Science Course in Electronic City?

You can contact Besant Technologies to speak with a course advisor 📞 +91 8767260270, schedule a demo session, and choose a batch that fits your learning schedule.
What technologies are covered in the Data Science Course?

The course includes Python, SQL, Statistics, NumPy, Pandas, Machine Learning, Deep Learning, NLP, Power BI, Tableau, LangChain, RAG, MLOps, Git, Docker, and modern data engineering practices.
Is this course suitable for non-IT learners?

Yes. The course starts with the fundamentals and is designed for freshers, working professionals, graduates, and non-IT learners who want to build practical Data Science skills.
Does Besant Technologies provide placement support?

Yes 100% Placement Support. Learners receive resume guidance, mock interviews, technical interview preparation, portfolio support, and placement assistance to help them prepare for Data Science opportunities.
Are real-world projects included in the training?

Yes. You’ll work on industry-inspired projects, business case studies, dashboards, predictive models, and capstone projects using real datasets.
Can I attend Data Science classes online?

Yes. Besant Technologies offers classroom Data Science training in Electronic City and live online instructor-led classes with flexible weekday and weekend batches.
What career opportunities are available after completing the course?

Depending on your skills and experience, you can prepare for roles such as Data Analyst, Data Scientist, Business Intelligence Analyst, Machine Learning Engineer, and Data Engineer.
Will I receive a certification after the course?

Yes. Learners who successfully complete the training, practical assignments, and project requirements receive a Besant Technologies Data Science Course Completion Certificate.
What makes this Data Science Course in Electronic City different?

The course combines practical learning, expert trainer mentoring, modern technologies, real-world projects, and career-focused guidance in one structured program.
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Besant Technologies Data Science Course in Electronic City View 9 Locations Nearby

BTM Layout

No 2, Ground floor, 29th Main Road,
Kuvempu Nagar, BTM Layout 2nd Stage,
Bengaluru, Karnataka-560 076

Landmark: Next to OI Play School
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Marathahalli

No. 43/2, 2nd Floor, VMR Arcade, Silver Springs Layout,
Munnekollal Varthur Main Road, Marathahalli,
Bengaluru, Karnataka-560 037

Landmark:Near Kundalahalli Gate Signal
View Location

Rajaji Nagar

No. 179/y, 2nd & 3rd Floor, 12th Main Road
3rd Block Bashyam Circle
Bengaluru, Karnataka-560 010, India

Landmark:Opposite to Ashirwad Super Market & Lenskart Above
View Location

Jaya Nagar

No.229/16, 9th Main Road, 3rd Block,
Jayanagar, Bengaluru, Karnataka-560 041

Landmark:Next Building to ZUDIO
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Kalyan Nagar

No.513, CMR Main Rd, HRBR Layout 2nd Block,
HRBR Layout, Kalyan Nagar,
Bengaluru, Karnataka-560 043

Landmark:Opposite Building of Kalyan Nagar Axis Bank
View Location

Electronic City

Ganga Enclave, No. 7, 3rd Floor, Village,
Doddathoguru, Neeladri Rd, Karuna Nagar, Electronics City Phase 1, Electronic City,
Bengaluru, Karnataka-560 100

Landmark:Adjacent to HDFC Bank and State Bank Of India
View Location

Indira Nagar

First Floor, No.54, 5th Main Road,
HAL Old Airport Rd, Behind Hotel Leela Palace,
HAL 2nd Stage, Kodihalli,
Bengaluru, Karnataka-560008

Landmark: Behind Leela Palace Hotel
View Location

HSR Layout

Plot No. 2799 & 2800, 1st Floor, 27th Main Rd,
1st Sector, HSR Layout,
Bengaluru, Karnataka-560 102

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Hebbal

No. 2757/2760 & 2759, 1st Floor,
Kodigehalli Ward No.8, Sahakar Nagar,
Bengaluru, Karnataka-560 092

Landmark:Next to Swathi Gardenia
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