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Data Science Masters Training Program

We have built careers of thousands of Data Science professionals with 100% job assistance in various MNCs. “Training to Job Placement” – is our vision.

3 Months - Intensive Training By IITN's

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Free Workshop & Demo : 2019-08-23 (Fri) @ 08:00 AM

Like to join in Masters Program

120

+

hr

Lecture
3

Real Time Projects
100

+

hrs

Coding Assignments
10

+

Industry

Case Studies

Weekends

22,000/-

  • Duration : 12 weeks
  • 8Hrs / week
  • Next Batch Starts at
  • 2019-08-23

Weekdays

25,000/-

  • Duration : 10 weeks
  • Avg 10 Hrs / week
  • Next Batch Starts at
  • 12/08/2019

Bootcamp

25,000/-

  • Duration : 2 weeks
  • 16Hrs / week
  • Next Batch Starts at
  • 7-09-2019

Weekdays

22,000/-

  • Duration : 10 weeks
  • Avg 2 Hrs / day
  • Next Batch Starts at
  • 12/08/2019

Weekends

22,000/-

  • Duration : 12 weeks
  • Avg 8 Hrs / week
  • Next Batch Starts at
  • 20/08/2019

One to One

22,000/-

  • Please Book your slot
    for one to one training

Why Data Science in Huddle Rise?

If you are planing to set you career as a Data scientist, then you are at the right place. Huddle Rise is considered to be one of the Best Data Science training in Marathahalli Bangalore .

Highly Rated Data science Institute

Since we are deleving a good quality of subject that helps us to rate us high in google about 4.7/5

ISO Standard Certification

Huddle Rise will provide you an iso standard certification for the one who completed course in our institution

24/7 Technical Support

Providing 24/7 coading support that will helps students to clarify their doubts at any period of time

Job Assistance

With Grate quality of our Data science programs every student can capable of getting a job easily and quickly

Job Assistance

Resume Building

We will Help you to Build your resume efficiantly by Industry experts This will make you to land in your desired Job

Real Time Projects

Dealing with real time projects which will makes you ready as experianced data scientist

Mock Interviews

Helps candiates to know about their skills on Perticular subject and getting interview tips

Be a Data Scientist

Start your work with your desired job through placements that we offer to you

Upcoming Batches

huddle rise calendar icon
24

Aug

Class Room
22,000/-

Limited Seats Available


24

Aug

Online
22,000/-

5 seats Left

Upcoming Batches

24

Aug

Class Room
22,000/-

Limited Seats Available

Online
22,000/-

5 seats Left

Syllabus >>>

Overview of R, R data types and object

Reading and writing data

control structures, functions, scoping rules

Use of Python in Data Science

Where to use python in real time

Python Environment setup, operators

Simple if Statement, if-else Statement

if-elsif Statement.

Introduction To while Loops.

Introduction To for Loops, Using continue and break

List, Tuples, Dictionaries

Python Lists, Tuples, Dictionaries

Accessing Values

Basic Operations

Indexing, Slicing

Built-in Functions & Methods

Defining Functions

Calling Functions

Anonymous Functions – Lambda

Numpy

Pandas

Matplot lib

Scikit learn

Numerical Analylsis

Categorical Analysis

Visualizing Data: Box, Scatter, Bar & Histogram

What is Machine Learning?

What is the Challenge?

Introduction to Supervised Learning,Unsupervised Learning.

Introduction to Linear Regression

Linear Regression with Multiple Variables

Disadvantage of Linear Models

Interpretation of Model Outputs

Understanding assumptions of linear regression

Describe or sumarise a set of data

The mean,median,mode, Kurtosis and skewness

Computing Standard deviation and Variance

Covariance, Correlation and Causation

Introduction to Logistic Regression.– Why Logistic Regression

Introduce the notion of classification.

Cost function for logistic regression

Confusion Matrix, Odd’s Ratio And ROC Curve

Advantages And Disadvantages of Logistic Regression.

How to build decision tree?

Understanding Kart Model

Classification Rules- Overfitting Problem

Stopping Criteria And Pruning

Model A decision Tree, Bayes

Random Forests

Hierarchical Clustering

k-Means algorithm for clustering – groupings of unlabeled data points.

Principal Component Analysis(PCA)

Non-probabilistic Parsing, Probability

Information Theory, Language modeling and Naive Bayes

Viterbi Algorithm for Finding Most Likely HMM Path

Lexical Semantics, Sentiment Analysis

Production system, Ontology

Propositional logic,Pattern Recognition

Distance-Based Neural Networks

Population-based search

Introduction to deep learning

Deep L-layer neural network

Forward Propagation in a Deep Network.

Why deep representations, Forward and Backward Propagation

Parameters vs Hyperparameters

Which is Best Data Science Training Institute In Mararthahalli Bangalore?

In Bangalore Marathahalli is known as IT hub as well as contains of more Training institutes. So in this scenario it is difficult to choose best training Institute.

But for sure we are recommending Huddle Rise Technologies is Best data science training in Marathahalli. Best Institute is judge by having some factors such as Demo and Training and Giving Backup Facility for students and providing different Platform of students like providing classroom as well as online training.

Why Huddle Rise Technologies is Best Data Science Training Institute in Marathahalli Bangalore?

Huddle Rise Technologies are providing there service since from 4 years with great training and showing good efforts on there students this factor will sounds as a Best institute. Data Science is a special training program in Huddle rise carrying forward with many batches. Starting from Demo to till end of doubts clarification Huddle Rise try to provide their best in all. Trainers who engaged with students that makes more impressive.

Huddle Rise come up with their unique ideas and scenarios that makes students to make place in different companies with good packages. This all to gather makes Huddle Rise Technologies as a best data science training institute in marathahalli Bangalore.

What is Data Science ?

The "data science" has become one of the disciplines with the highest growth in enterprises and research institutions due to the versatility of solutions that can be offered in different industries. Many times without the user being aware, large amounts of data are processed to recommend a movie, predict the price of a flight or classify a purchase as fraudulent or legitimate.

However, the process of analyzing data is expensive, complicated and imperfect, since data science involves many different disciplines , in addition, there is no recipe for the "perfect model". Unlike software development, which is clear about the final result, an analytical process can yield unexpected results and sometimes a viable solution is not reached. Data science is an inaccurate science.

The field of data science employs mathematics, statistics and computer disciplines, and incorporates techniques such as machine learning, cluster analysis, data extraction and visualization.

Why to learn data science course?

We can define data scientists as professionals who, using large volumes of information and of different types, solve business problems and obtain answers from data.

Although there are no "typical" data science projects, since each project is a world, generally companies start with a structure similar to this one:

  • It is required to solve a business problem or answer a question.
  • The data scientist should obtain data from the origin that was in order to solve that question.Here, structured data comes into play (eg, databases such as SQL), unstructured (eg, images, audios) and semi-structured data (eg, texts with a certain structure).In companies that are just beginning, only structured data is used and accessed by a typical query language such as SQL.
  • A series of techniques, algorithms, etc. are applied to these data. who try to solve the case.Here tools such as Python, R, SAS, etc. are used.
  • The final result that can be obtained can be an analysis, a productivization of some statistical model, results for business, etc.

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