Monday, April 22, 2019

best Data Science training in marathahalli, bangalore

Course Duration: 30 hours
Attend 3 Free Classes to Check Training Quality
100% Real Time Practical Training with Placement Assistance
(Trained by 15+ years experienced working professionals )

Data Science Training Course Content

Python Goal

Get an overview of the python which is required to work on data science

Python Objectives

At the end of this Module, you should be able understand the following topics

  • Lists
  • Tuples
  • Dictionaries
  • Sets
  • Importing packages
  • If else
  • Loops
  • Comprehensions
  • Functions
  • Map
  • Filter
  • Reduce
  • Numpy
  • Pandas
  • Merging,querying,aggregating
  • Assignments for practice

R Goal

Get an overview of the R which is required to work on data science

R Objectives

At the end of this Module, you should be able to understand the following topics

  • Introduction
  • Basic operations in R
  • Vectors
  • Factors
  • Matrices
  • Data frames
  • Lists
  • Logical and Relational operators
  • Conditional Statements
  • Loops
  • Functions
  • Apply Family

Introduction

  • Applications of Machine Learning
  • Why Machine Learning is the Future
  • Installing R and R Studio (MAC & Windows)
  • Installing Python and Anaconda (MAC & Windows)

Part Data Preprocessing

  • Welcome to Part  – Data Preprocessing
  • Get the dataset
  • Importing the Libraries
  • Importing the Dataset
  • For Python learners, summary of Object-oriented programming classes & objects
  • Missing Data
  • Categorical Data
  • Splitting the Dataset into the Training set and Test set
  • Feature Scaling
  • And here is our Data Preprocessing Template!
  • Quiz  Data Preprocessing

Part Regression

  • Welcome to Part  – Regression

Simple Linear Regression

  • How to get the dataset
  • Dataset + Business Problem Description
  • Simple Linear Regression Intuition –   
  • Simple Linear Regression in Python –  
  • Simple Linear Regression in R –  
  • Quiz  Simple Linear Regression

Multiple Linear Regression

  • How to get the dataset
  • Dataset + Business Problem Description
  • Multiple Linear Regression Intuition –   
  • Multiple Linear Regression in Python –   
  • Multiple Linear Regression in Python – Backward Elimination – Preparation
  • Multiple Linear Regression in Python – Backward Elimination –  !
  • Multiple Linear Regression in Python – Backward Elimination –  Solution
  • Multiple Linear Regression in R –   
  • Multiple Linear Regression in R – Backward Elimination –  !
  • Multiple Linear Regression in R – Backward Elimination –  Solution
  • Quiz  Multiple Linear Regression

Polynomial Regression

  • Polynomial Regression Intuition
  • How to get the dataset
  • Polynomial Regression in Python –  
  • Python Regression Template
  • Polynomial Regression in R –   
  • R Regression Template

Support Vector Regression (SVR)

  • How to get the dataset
  • SVR in Python
  • SVR in R

Decision Tree Regression

  • Decision Tree Regression Intuition
  • How to get the dataset
  • Decision Tree Regression in Python
  • Decision Tree Regression in R

Random Forest Regression

  • Random Forest Regression Intuition
  • How to get the dataset
  • Random Forest Regression in Python
  • Random Forest Regression in R

Evaluating Regression Models Performance

  • R-Squared Intuition
  • Adjusted R-Squared Intuition
  • Evaluating Regression Models Performance – ‘s Final Part
  • Interpreting Linear Regression Coefficients
  • Conclusion of Part  – Regression

Part Classification

  • Welcome to Part  – Classification

Logistic Regression

  • Logistic Regression Intuition
  • How to get the dataset
  • Logistic Regression in Python –  
  • Python Classification Template
  • Logistic Regression in R –   
  • R Classification Template
  • Quiz  Logistic Regression

K-Nearest Neighbors (K-NN)

  • K-Nearest Neighbor Intuition
  • How to get the dataset
  • K-NN in Python
  • K-NN in R
  • Quiz  K-Nearest Neighbor

Support Vector Machine (SVM)

  • SVM Intuition
  • How to get the dataset
  • SVM in Python
  • SVM in R
    • SVMzip

Kernel SVM

  • Kernel SVM Intuition
  • Mapping to a higher dimension
  • The Kernel Trick
  • Types of Kernel Functions
  • How to get the dataset
  • Kernel SVM in Python
  • Kernel SVM in R

Naive Bayes

  • Bayes Theorem
  • Naive Bayes Intuition
  • Naive Bayes Intuition (Challenge Reveal)
  • Naive Bayes Intuition (Extras)
  • How to get the dataset
  • Naive Bayes in Python
  • Naive Bayes in R

Decision Tree Classification

  • Decision Tree Classification Intuition
  • How to get the dataset
  • Decision Tree Classification in Python
  • Decision Tree Classification in R

Random Forest Classification

  • Random Forest Classification Intuition
  • How to get the dataset
  • Random Forest Classification in Python
  • Random Forest Classification in R

Evaluating Classification Models Performance

  • False Positives & False Negatives
  • Confusion Matrix
  • Accuracy Paradox
  • CAP Curve
  • CAP Curve Analysis
  • Conclusion of Part  – Classification

Part Clustering

  • Welcome to Part  – Clustering

K-Means Clustering

  • K-Means Clustering Intuition
  • K-Means Random Initialization Trap
  • K-Means Selecting The Number Of Clusters
  • How to get the dataset
  • K-Means Clustering in Python
  • K-Means Clustering in R
  • Quiz  K-Means Clustering

Hierarchical Clustering

  • Hierarchical Clustering Intuition
  • Hierarchical Clustering How Dendrograms Work
  • Hierarchical Clustering Using Dendrograms
  • How to get the dataset
  • HC in Python –   
  • HC in R –   
  • Quiz  Hierarchical Clustering
  • Conclusion of Part  – Clustering

Part Association Rule Learning

  • Welcome to Part  – Association Rule Learning

Apriori

  • Apriori Intuition
  • How to get the dataset
  • Apriori in R –   
  • Apriori in Python

Eclat

  • Eclat Intuition
  • How to get the dataset
  • Eclat in R
    • Eclatzip

Part Reinforcement Learning

  • Welcome to Part  – Reinforcement Learning

Upper Confidence Bound (UCB)

  • The Multi-Armed Bandit Problem
  • Upper Confidence Bound (UCB) Intuition
  • How to get the dataset
  • Upper Confidence Bound in Python –   
  • Upper Confidence Bound in R –  

Thompson Sampling

  • Welcome to Part  – Natural Language Processing
  • How to get the dataset
  • Natural Language Processing in Python –   
  • Challenge
  • Natural Language Processing in R –  
  • Natural Language Processing in R –  
  • Challenge

Part Natural Language Processing

  • Thompson Sampling Intuition
  • Algorithm Comparison UCB vs Thompson Sampling
  • How to get the dataset
  • Thompson Sampling in Python –  
  • Thompson Sampling in Python –  
  • Thompson Sampling in R –  
  • Thompson Sampling in R –  

Part Deep Learning

  • Welcome to Part  – Deep Learning
  • What is Deep Learning?

Artificial Neural Networks

  • Plan of attack
  • The Neuron
  • The Activation Function
  • How do Neural Networks work?
  • How do Neural Networks learn?
  • Gradient Descent
  • Stochastic Gradient Descent
  • Backpropagation
  • How to get the dataset
  • Business Problem Description
  • ANN in Python –   – Installing Theano, Tensorflow and Keras
  • ANN in R –   
  • ANN in R –   (Last )

Convolutional Neural Networks

  • Plan of attack
  • What are convolutional neural networks?
  • – Convolution Operation
  • (b) – ReLU Layer
  • – Pooling
  • – Flattening
  • – Full Connection
  • Summary
  • Softmax & Cross-Entropy
  • How to get the dataset
  • CNN in Python –  
  • CNN in R

Part Dimensionality Reduction

  • Welcome to Part  – Dimensionality Reduction

Principal Component Analysis (PCA)

  • How to get the dataset
  • PCA in Python –   
  • PCA in R –  

Linear Discriminant Analysis (LDA)

  • How to get the dataset
  • LDA in Python
  • LDA in R

Kernel PCA

  • How to get the dataset
  • Kernel PCA in Python
  • Kernel PCA in R

Part Model Selection & Boosting

  • Welcome to Part  – Model Selection & Boosting

Model Selection

  • How to get the dataset
  • k-Fold Cross Validation in Python
  • k-Fold Cross Validation in R
  • Grid Search in Python –   
  • Grid Search in R

XGBoost

  • How to get the dataset
  • XGBoost in Python –   
  • XGBoost in R
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Demo Class : Free Demo Session, Flexible TimingsFree Class : Attend 3 Free Classes to check training Quality
Regular : 2 Hour per dayFast Track : 2 – 3 Hours per day: 20 days
Weekdays : AvailableWeekend : Available
Online Training : AvailableClass Room Training : Available
Course Fee : Talk to our Customer SupportDuration : 30 Hours
What is the batch size?

SDLC training providing the limited batch size, so we can provide quality teaching. If you want to get trained individually, we are also providing.

How you people will help for the Job?

SDLC training providing the 100% job assistance and mock interviews.

How you people will help in the projects?

SDLC training is providing the training with live projects and real-time practice.

How you people will provide the doubt clarification?

SDLC training providing the 24/7 interact access with faculties and after course also engagement between the faculties and students.

What are the extra services?

SDLC training providing the back up classes, soft skill training, interview skills workshop and resume preparation assistance.

How you people will help to enhance the students knowledge?

SDLC training providing the topics wise ppts, case studies, assignments and doubt solving.

 

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Steps To Build A Successful Career at SDLC

Theory

Practical

Assignment

Hands-on live projects

Resume preparation

Mock interviews

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Google Reviews

  • review rating 5  React js Learning environment is very good, with real time training experience trainer staff also very friendly, their support and motivation with help u to learn new technology.

    thumb Priyanka Bharti
    4/08/2019

    review rating 5  SDLC is one of the best places to up-skill yourselves. I have taken python course with jango framework and I am very much satisfied with way it was dealt by the trainer. My trainer has very good knowledge on automation and programming languages (python + jango) with industry experience so many years. The course was going on with a normal pace so that even a non-programming background students can follow the class. teacher will clarify each and everyone’s doubt and he is available 24*7 to help the students . at the end of every classes he used to give assignment with interesting problem statement which helps us to crack the interview . I will suggest to join this institution to shape up the career . Thanks SDLC for this training .

    thumb dip sen
    3/31/2019
  • review rating 5  I had enrolled for the classes on angular – front end development. In SDLC, the faculty used to give the theoretical background quickly and focused more on our practical knowledge which according to me was very essential. Since I was a fresher, initially I was very confused and demotivated to complete the class initially, but the institute head and the faculty member not only provided me excellent technical guidance but also motivate me to do better. I have definitely made the correct choice by joining SDLC. Thank you very much.

    thumb Bhagyashri Patil
    3/28/2019

    review rating 5  I Joined For Angular 7 Training in this institute, One of the Best Real time Training center in Bangalore .They provide me Real time practical Training ,I am happy with SDLC Training center Thanks SDLC Team

    thumb subrat
    3/24/2019
  • review rating 5  Training experience was excellent, trainers taught each and every topic in full detail even they explained whatever doubt I had. Also the management is very cooperative guided me how to prepare resume which will helpful to get the job. Overall experience was excellent

    thumb Arjit Dewan
    3/03/2019

    review rating 4  Training was very good.Trainers were well equipped with knowledge.They adjusted classes according to my office timings also.Course fees is reasonable compared to other training institutes.The teachers were very patient and cleared all my doubts related to AWS Devops.Will also be helping in resume preparation & FAQ’s for Certification and Job Interviews

    thumb Sneha Das
    3/03/2019
  • review rating 5  I have a good experience with SDLC training , I was looking Sap support, I tried to search on Google so many vendor , but I didn’t proper response and details. Finally I found this, than I got my solution with quick service and proper details. In my opinion academy is doing good job, I appreciate it.

    thumb Allay Criyons
    2/16/2019

    review rating 5  I joined phyton course recently based on my experience trainer is professional and clear and gives pratical examples real time scenarios and also SDLC team very helpful in all the terms and am very happy with “SDLC” training.I would recommend everyone to join this institute.

    thumb Aishwarya G R
    2/14/2019

Best Data Science Training in Bangalore

Data Science Course

Data Science is the combination of statistics, mathematics, programming, problem-solving, capturing data in ingenious ways, the ability to look at things differently, the activity of cleansing, preparing and aligning the data.

SDLC training institute providing the Data Science real-time online training classes, classroom training classes for the weekend and regular batches. Get JOB with our free Placement Assistance Program.

There are various sectors where you can g too.

  • Next generation mobile apps
  • Business functions
  • Gaming
  • Communication

How we will start the course?

  • Learn from basics
  • Practice coding
  • Set your algorithm carefully
  • Trace your codes on paper
  • Read sources on Data Science regularly

At end of the course?

  • Trainees will understand the core concepts of Data Science.
  • Participants will have an understanding of how to create and implement algorithms.
  • Candidates will have detailed knowledge about Data Science.
  • Real-time project experience.
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Features of SDLC​

  • Limit the batch size so we can provide personal attention to everyone in the session
  • Real-time practice
  • Live projects
  • 24/7 interact access with faculties
  • Experienced and passionate trainers
  • After course engagement
  • We give topics wise ppt, case studies, assignments and doubt solving
  • 100% job assistance
  • 24/7 support
  • Classroom training, Online training and Corporate training
  • Student can attend their missed classes
  • Soft skill training, interview skills workshop, resume preparation assistance
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