Data Science Course

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Data Science Course Training in Bangalore Offered by Prakalpana is the most powerful Data Science Training ever offered with Top Quality Trainers, Best Price, Certification, and 24/7 Customer Care.

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Learn Virtually Anywhere.

 Get High-Quality Training, Certification, Best Price and 24/7 Customer Care.  

Success Factors of PCB design course:

  • High-Quality  Training
  • Top 10+ years of Technical Trainers
  • Comprehensive Course Curriculum
  • 100% Placement Assistance
  • Superb Satisfaction Score
  • Internship in Real-Time Project 

About Program

Prakalpana Technologies is to provide ,The Application System/400 (also known as AS/400), now System i (also known as iSeries), is a type of minicomputer produced by IBM. It was first produced in 1988. It was then renamed to the eServer iSeries in 2000 as part of IBM’s e-Server branding initiative. Now with the global move of the server and storage brands to the System brand with the Systems Agenda, the family has been renamed to System i in 2006, with the POWER5-based members of the series being called the System i5.
The AS/400 is an object-based system with an integrated DB2 database that was designed to implement E. F. Codd’s relational database model, which is based on Codd’s 12 rules, in the operating system and hardware.

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    Curriculum of PCB design course

    1.Getting Started With Data Science And Recommender Systems

    • Data Science Overview
    • Reasons to use Data Science
    • Project Lifecycle
    • Data Acquirement
    • Evaluation of Input Data
    • Transforming Data
    • Statistical and analytical methods to work with data
    • Machine Learning basics
    • Introduction to Recommender systems
    • Apache Mahout Overview
    2.Reasons To Use, Project Lifecycle
    • What is Data Science?
    • What Kind of Problems can you solve?
    • Data Science Project Life Cycle
    • Data Science-Basic Principles
    • Data Acquisition
    • Data Collection
    • Understanding Data- Attributes in a Data, Different types of Variables
    • Build the Variable type Hierarchy
    • Two Dimensional Problem
    • Co-relation b/w the Variables- explain using Paint Tool
    • Outliers, Outlier Treatment
    • Boxplot, How to Draw a Boxplot
    3.Acquiring Data
    • Discussion on Boxplot- also Explain
    • Example to understand variable Distributions
    • What is Percentile? – Example using Rstudio tool
    • How do we identify outliers?
    • How do we handle outliers?
    • Outlier Treatment: Using Capping/Flooring General Method
    • Distribution- What is Normal Distribution
    • Why Normal Distribution is so popular
    • Uniform Distribution
    • Skewed Distribution
    • Transformation
    4.Machine Learning In Data Science
    • Discussion about Box plot and Outlier
    • Goal: Increase Profits of a Store
    • Areas of increasing the efficiency
    • Data Request
    • Business Problem: To maximize shop Profits
    • What are Interlinked variables
    • What is Strategy
    • Interaction b/w the Variables
    • Univariate analysis
    • Multivariate analysis
    • Bivariate analysis
    • Relation b/w Variables
    • Standardize Variables
    • What is Hypothesis?
    • Interpret the Correlation
    • Negative Correlation
    • Machine Learning

    5.Statistical And Analytical Methods Dealing With Data, Implementation Of Recommenders Using Apache Mahout And Transforming Data

    • Correlation b/w Nominal Variables
    • Contingency Table
    • What is Expected Value?
    • What is Mean?
    • How Expected Value is differ from Mean
    • Experiment – Controlled Experiment, Uncontrolled Experiment
    • Degree of Freedom
    • Dependency b/w Nominal Variable & Continuous Variable
    • Linear Regression
    • Extrapolation and Interpolation
    • Univariate Analysis for Linear Regression
    • Building Model for Linear Regression
    • Pattern of Data means?
    • Data Processing Operation
    • What is sampling?
    • Sampling Distribution
    • Stratified Sampling Technique
    • Disproportionate Sampling Technique
    • Balanced Allocation-part of Disproportionate Sampling
    • Systematic Sampling
    • Cluster Sampling
    • 2 angels of Data Science-Statistical Learning, Machine Learning

    6,Testing And Assessment, Production Deployment And More

    • Multi variable analysis
    • linear regration
    • Simple linear regration
    • Hypothesis testing
    • Speculation vs. claim(Query)
    • Sample

    7.Business Algorithms, Simple Approaches To Prediction, Building Model, Model Deployment

    • Machine Learning
    • Importance of Algorithms
    • Supervised and Unsupervised Learning
    • Various Algorithms on Business
    • Simple approaches to Prediction
    • Predict Algorithms
    • Population data
    • sampling
    • Disproportionate Sampling
    • Steps in Model Building
    • Sample the data
    • What is K?
    • Training Data
    • Test Data
    • Validation data
    • Model Building
    • Find the accuracy
    • Rules
    • Iteration
    • Deploy the model
    • Linear regression
    8.Getting Started With Segmentation Of Prediction And Analysis
    • Clustering
    • Cluster and Clustering with Example
    • Data Points, Grouping Data Points
    • Manual Profiling
    • Horizontal & Vertical Slicing
    • Clustering Algorithm
    • Criteria for take into Consideration before doing Clustering
    • Graphical Example
    • Clustering & Classification: Exclusive Clustering, Overlapping Clustering, Hierarchy Clustering
    • Simple Approaches to Prediction
    • Different types of Distances: 1.Manhattan, 2.Euclidean, 3.Consine Similarity
    • Clustering Algorithm in Mahout
    • Probabilistic Clustering
    • Pattern Learning
    • Nearest Neighbor Prediction
    • Nearest Neighbor Analysis

    9.Integration Of R And Hadoop

    • R introduction
    • How R is typically used
    • Features of R
    • Introduction to Big data
    • R+Hadoop
    • Ways to connect with R and Hadoop
    • Products
    • Case Study
    • Architecture
    • Steps for Installing RIMPALA
    • How to create IMPALA packages


    Priyanka HS
    Priyanka HS
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    I've been here for SpringBoot & Microservices course. Tutors are professional with in-depth knowledge, using simple examples and making it easy to understand. Course work is scheduled in such a way it includes much of assignments. I got zero knowledge on programming when i started, But now I'm able to code. I would recommend it to anyone.
    Vikash Kumar
    Vikash Kumar
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    I have been Learning Docker & Kubernetes course. My trainer taught me very in-depth hands on using simple examples and making it easy to understand. It help me to grab job in very good MNC.
    Habeeba Taj
    Habeeba Taj
    Read More
    Thank u so much for your very valuable training and Prakalpana support team also helped me lot answering all of my question the instructor also very excellent.


    PCB Design Course is one of the accelerating and most promising fields, considering all the technologies available in the IT market today. In order to take advantage of these opportunities, you need a structured The PCB Design  course is designed to provide knowledge and skills to become a successful PCB Design . At the end of the course the participants will have an understanding of all the basic and advanced concepts like Request flow, Rendering systems, PCB Design  Training Course with the latest curriculum as per current industry requirements and best practices.

    Besides a strong theoretical understanding, you need to work on various real-world Procurement & Logistics projects using different industrial PCB Design  Training as a part of solution strategy.

    Additionally, you need the guidance of a PCB Design  Training expert who is currently working in the industry on real-world PCB Design  Training projects and troubleshooting day-to-day challenges while implementing them. All of which can be acquired from the PCB Design Training Course.

    Prakalpana Technologies provides many suitable modes of training .

    • Classroom training 
    • Online training 
    • Fast track & Super fast track
    • Live instructor online training
    • Customized training

    We do, however, provide recordings of each session you attend for your future reference.

    Yes. We arrange a free demo for all the courses either in the Classroom or Live-Online demo. Please fill the Schedule demo  form to schedule a free demo.

    All our trainers are certified and are highly qualified, with multiple years of experience in working with front-end development technology.

    You will receive Prakalpana Technologies globally recognized course completion certificate

    Yes you will get placement assistance after the course.

    Give  us a quick CALL to our course advisor  at +917505363802 / +919945619267 OR email at [email protected]

    You can reach to the support team for your queries 24/7 .  The team will help you in resolving queries, during and after the course. 

    You can reach to the Corporate Training team at 24/7 on this +917505363802 / +919945619267 OR email at [email protected] 

    Training Features

    Classroom Training

    Prakalpana offers Classroom training for all courses in Bangalore and top courses as a scheduled batch in Prakalpana.

    Live-Online Training

    Prakalpana offers Live - Online training for all courses in Bangalore and top courses as a scheduled batch in Prakalpana.

    Real-life Case Studies

    Prakalpana offers Real - Lifecase study training in all courses in Bangalore with our top IT 10+ Years Instructures.


    Prakalpana have a community forum for our learners that further facilitates learning through peer interaction and knowledge sharing.

    24 x 7 Expert Support

    Prakalpana have a lifetime 24x7 online support team to resolve all your technical queries in a short time.


    After sucessfully completing your final course , Prakalpana will certify you as MY PCB Design