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Data Science Training in Electronic City Bangalore is created to provide more job exposure.  The design of the Data Science Course in Electronic City covers both fundamental topics and advanced data science topics, enough to make you an expert in developing real-time data science. With this data science course in electronic city, you can develop applications like Image Recognition, Face detection, Image Processing and Predicting the future.
Data Science Training in Electronic City

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Best Data Science Training in Electronic City

This Data Science Training in Electronic City includes Data manipulation, Data exploration, Numpy, Panda, Scikit, Matplot, Machine Learning, R and Python. Our data science trainers have more than 10+ years of industry experience in cutting edge technologies. They will ensure you get hands-on experience and cover new tools to become DELL EMC DECA-DS certified. The cost of the data science certification is 200$.

Being the Best Data Science Training in Electronic City Bangalore, we provide access to hands-on practice and help you crack the certification. Upon successfully completing the training from the best data science training institute in electronic city, our students are placed in MNCs,  obtaining a salary between $95,00 to $128,750.  What are you waiting for, join the Best Data Science Training Institute in Electronic City, Bangalore!

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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.

  • 25-03-2024 Mon (Mon - Fri)Weekdays Batch 08:00 AM (IST)(Class 1Hr - 1:30Hrs) / Per Session Get Fees
  • 21-03-2024 Thu (Mon - Fri)Weekdays Batch 08:00 AM (IST)(Class 1Hr - 1:30Hrs) / Per Session Get Fees
  • 23-03-2024 Sat (Sat - Sun)Weekend Batch 11:00 AM (IST) (Class 3Hrs) / Per Session Get Fees
Data Science Training in Electronic City

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Trainer Profile of Data Science Training in Electronic City

Our Trainers provide complete freedom to the students, to explore the subject and learn based on real-time examples. Our trainers help the candidates in completing their projects and even prepare them for interview questions and answers. Candidates are free to ask any questions at any time.

  • More than 7+ Years of Experience.
  • Trained more than 2000+ students in a year.
  • Strong Theoretical & Practical Knowledge.
  • Certified Professionals with High Grade.
  • Well connected with Hiring HRs in multinational companies.
  • Expert level Subject Knowledge and fully up-to-date on real-world industry applications.
  • Trainers have Experienced on multiple real-time projects in their Industries.
  • Our Trainers are working in multinational companies such as CTS, TCS, HCL Technologies, ZOHO, Birlasoft, IBM, Microsoft, HP, Scope, Philips Technologies etc

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.

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Data Science Exam & Certification

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 Training in Electronic City

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Key Features of Data Science Course in Electronic City

30+ Hours Course Duration

100% Job Oriented Training

Industry Expert Faculties

Free Demo Class Available

Completed 800+ Batches

Certification Guidance

Ready to jump-start your career

Join the course, Get your resume modified from experts. Our students are being hired at the leading companies.

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Training Courses Reviews

I would like to highlight a few points about my association with Besant Technologies. The faculty members out here are super supportive. They make you understand a concept till they are convinced you have gotten a good grip over it. The second upside is definitely the amount of friendliness in their approach. I and my fellow mates always felt welcome whenever we had doubts. Thirdly, Besant offers extra support to students with a weaker understanding of the field of IT.

s

Siva Kumar

When I joined Besant Technologies, I didn’t really expect a lot from it, to be extremely honest. But as time went by, I realised I got from Besant Technologies exactly what I wanted- a healthy environment for learning. Cordial teachers and their valuable lectures make understanding things so much easy. I thank Besant for having been so supportive throughout the course.

D

Daniel

Frequently Asked Questions

Call now: +91-8767 260 270 and know the exciting offers available for you!

Besant Technologies offers 250+ IT training courses in more than 20+ branches all over India with 10+ years of Experienced Expert level Trainers.

Fully hands-on training | 30+ hours course duration | Industry expert faculties | Completed 1500+ batches | 100% job oriented training | Certification guidance | Own course materials | Interview preparation | Affordable fees structure

Besant Technologies is the Legend in offering placement to the students. Please visit our Placed Students List on our website.

More than 2000+ students placed in last year.

We have a dedicated placement portal which caters to the needs of the students during placements.

Besant Technologies conducts development sessions including mock interviews, presentation skills to prepare students to face a challenging interview situation with ease.

92% percent placement record

Our trainers are more than 10+ years of experience in course relavent technologies.

Trainers are expert level and fully up-to-date in the subjects they teach because they continue to spend time working on real-world industry applications.

Trainers have experienced on multiple real-time projects in their industries.

Are working professionals working in multinational companies such as CTS, TCS, HCL Technologies, ZOHO, Birlasoft, IBM, Microsoft, HP, Scope, Philips Technologies, etc

Trained more than 2000+ students in a year.

Strong theoretical & practical knowledge.

Are certified professionals with high grade.

Are well connected with hiring HRs in multinational companies.

No worries. Besant technologies assure that no one misses single lectures topics. We will reschedule the classes as per your convenience within the stipulated course duration with all such possibilities. If required you can even attend that topic with any other batches.

Besant Technologies provides many suitable modes of training to the students like

Classroom training | One to One training | Live Instructor LED Online training | Customized training

You will receive Besant Technologies globally recognized course completion certification.

Yes, Besant Technologies provides group discounts for its training programs. To get more details, visit our website and contact our support team via Call, Email, Live Chat option or drop a Quick Enquiry. Depending on the group size, we offer discounts as per the terms and conditions.

We accept all major kinds of payment options. Cash, Card (Master, Visa, and Maestro, etc), Net Banking and etc.

Please Contact our course advisor +91-8767 260 270. Or you can share your queries through info@besanttechnologies.com

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Besant Technologies Data Science Training 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
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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
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Jaya Nagar

No. 1575, 2nd Floor, 11th Main Rd,
4th T Block East, Pattabhirama Nagar, Jayanagar,
Bengaluru, Karnataka-560 041

Landmark:Opposite to Shanthi Nursing Home
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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
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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
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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
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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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