Best Data Science Training in Bangalore

People Technologies Services

People Technologies provide Data Science Training in Bangalore, Chennai, Delhi(NCR), Mumbai, Lucknow 24*7*365. Having trouble for interview preparation? Don't worry ! Our trainers is avaiable for 24hours wordlwide.


  • Classroom Batch Training
  • Online Training
  • One To One Training
  • Customized Training

Data Science Training Course BASIC INFORMATION

People Technologies runnning Data Science Training in Bangalore, Chennai, Delhi(NCR), Mumbai, Lucknow and other country in more than 10+ branches with highly experienced trainers. Here are the basic information.


  • 45+ Hours Course Duration
  • Industry Expert Trainers
  • 100% Job Oriented Training
  • Free Demo Class Available
  • Certification Guidance
  • Interview Preparation
  • Personality Development

Best Data Science Training Course in Bangalore

In this DATA Science Programming Course, People Technologies covers all the major concepts of DATA Science Programming – in detail, and in depth – practically. People Technologies is available in India and Dubai, Austrlia, Canada. Our Current classes are running for Data Science Training in Bangalore, Chennai, Delhi(NCR), Mumbai, Dubai. This DATA Science Course module will give you hands on experience and confidance to write program and logic for project.

You are worried! and thinking of starting a career in IT? Love to play with Computers and Mobile Phones, and thinking of making IT a career choice? Would you like to develop new web application, products and services and want to become Entrepreneur and become a part of tech future? Come and join us, People Technologies is ready to take you in tech world. We will stand up with you from first day to till last day. Every year we are running People Technologies Alumni Program to meet our placed participants and IT industry lead. After college you are worried about your IT career because many people are moving to IT for good growth and long term job prospects with great salaries. People Technologies is best training institute in Bangalore, Chennai, Mumbai, Delhi(NCR), Lucknow, Dubai, Singapore, Australia.

People Technologies is the best Training Institute offers certification oriented DATA Science Training in Bangalore, DATA Science Training in Chennai, Data Science Training in Mumbai, Data Science Training in Delhi(NCR), Data Science Training in Lucknow. We will make you eligible to clear all type of interviews at end of our sessions. Our team of DATA Science trainers and participants are making team for their future help and assistance in subject by 24*7*365. Our DATA Science trainers is available for your support across country in different time zone. Our training module and course material will be focused on assisting in placements as well. People Technologies has seprate HR team professionals who will take care of all your interview needs. Our Data Science Training in Bangalore course Fees is very less compared to others.

Data-Science Syllabus

  • Chapter - 01 Introduction: What is Data Science?

    • Big Data and Data Science hype – and getting past the hype
    • Why now? – Datafication
    • Current landscape of perspectives
    • Skill sets needed
    Theory (01:00 to 01:15 Hrs)|Practical (01:00 to 01:15 Hrs)
    Total (02:00 to 02:30 Hrs)

  • Chapter - 02 Statistical Inference

    • Populations and samples
    • Statistical modeling, probability distributions, fitting a model
    • Intro to R
    Theory (01:00 to 01:15 Hrs)|Practical (01:00 to 01:15 Hrs)
    Total (02:00 to 02:30 Hrs)

  • Chapter - 03 Exploratory Data Analysis and the Data Science Process

    • Basic tools (plots, graphs and summary statistics) of EDA
    • Philosophy of EDA
    • The Data Science Process
    • Case Study: RealDirect (online real estate firm)
    Theory (00:45 to 01:00 Hrs)|Practical (00:45 to 01:00 Hrs)
    Total (01:30 to 02:00 Hrs)

  • Chapter - 04 Three Basic Machine Learning Algorithms

    • Linear Regression
    • k-Nearest Neighbors (k-NN)
    Theory (00:30 to 00:45 Hrs)|Practical (00:30 to 00:45 Hrs)
    Total (01:00 to 01:30 Hrs)

  • Chapter - 05 One More Machine Learning Algorithm and Usage in Applications

    • Motivating application: Filtering Spam
    • Why Linear Regression and k-NN are poor choices for Filtering Spam
    • Naive Bayes and why it works for Filtering Spam
    • Data Wrangling: APIs and other tools for scrapping the Web
    Theory (00:45 to 01:00 Hrs)|Practical (00:45 to 01:00 Hrs)
    Total (01:30 to 02:00 Hrs)

  • Chapter - 06 Feature Generation and Feature Selection (Extracting Meaning From Data)

    • Motivating application: user (customer) retention
    • - Feature Generation (brainstorming, role of domain expertise, and place for imagination)
    • Feature Selection algorithms
    • Filters; Wrappers; Decision Trees; Random Forests
    Theory (01:30 to 01:15 Hrs)|Practical (01:30 to 01:15 Hrs)
    Total (03:00 to 02:30 Hrs)

  • Chapter - 07 Recommendation Systems: Building a User-Facing Data Product

    • Algorithmic ingredients of a Recommendation Engine
    • Dimensionality Reduction
    • Singular Value Decomposition
    • Principal Component Analysis
    • Exercise: build your own recommendation system
    Theory (02:00 to 04:10 Hrs)|Practical (02:00 to 04:10 Hrs)
    Total (04:00 to 08:20 Hrs)

  • Chapter - 08 Mining Social-Network Graphs

    • Social networks as graphs
    • Clustering of graphs
    • Direct discovery of communities in graphs
    • Partitioning of graphs
    • Neighborhood properties in graphs
    Theory (01:00 to 01:15 Hrs)|Practical (01:00 to 01:15 Hrs)
    Total (02:00 to 02:30 Hrs)

  • Chapter - 09 Data Visualization

    • Basic principles, ideas and tools for data visualization
    • Examples of inspiring (industry) projects
    • Exercise: create your own visualization of a complex dataset
    Theory (00:30 to 00:45 Hrs)|Practical (00:30 to 00:45 Hrs)
    Total (01:00 to 01:30 Hrs)

  • Chapter - 10 Data Science and Ethical Issues

    • Discussions on privacy, security, ethics
    • A look back at Data Science
    • Next-generation data scientists
    Theory (01:00 to 01:15 Hrs)|Practical (01:00 to 01:15 Hrs)
    Total (02:00 to 02:30 Hrs)

Data Science Training Methodology & Materials

  1. 100% hands-on Practical Job Oriented Training
  2. Well designed exercises/sessions
  3. Discussion on real life situations / problems faced on the job and their solutions
  4. Indepth Project work with each course to enhance learning and give the participant a feel of difficulty, thus ensuring they apply in realtime everything they have learnt.
  5. Task based teaching methodology where students are given tasks to do in class, as required in the real world.
  6. Assessments at the end of the course help gauge student progress and learning.