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Top Institutes for Data Science training in Marathahalli, Bangalore.

Listings of 51+ Data Science training institutes located near Marathahalli in Bangalore as on July 12, 2020. Get access to training curriculum, placement training, course fees, contact phone numbers and students reviews.

 

 

Best training institute

 

Real Time Signals Tech at Marathahalli - class room	 photo_9780 Real Time Signals Tech at Marathahalli - class room photo_7750 Real Time Signals Tech at Marathahalli - training lab photo_7749 
Address: #102 Krishna Grand Marthahalli Bridge Marathahalli 560037

Real Time Signals Tech an ISO 9001 certified Design Services company in Embedded Systems Engineering and Digital Signal Processing from India.
 
training institutes E2 Technologies
Marathahalli
Best training institute

 

E2 Technologies at Marathahalli - center entrance	 photo_16817 E2 Technologies at Marathahalli - training campus photo_16813 E2 Technologies at Marathahalli - training campus photo_16809 
Address: E2 Technologies 90/3 2nd Floor Sri Balaji Layout Outer Ringer Road Marathahalli 560037

 
training institutes Infotech Mentors
Marathahalli
Best training institute

 

Infotech Mentors at Marathahalli - training campus photo_13745 Infotech Mentors at Marathahalli - training room	 photo_13744 Infotech Mentors at Marathahalli - training room	 photo_13743 
Address: Infotech Mentors 36/37 3rd Floor Chinnappanahalli Outer ring road Marathahalli 560037

Infotech Mentors is a niche IT training institute creating professionals for emerging technology industries and specialist technology jobs. A part of CADD Centre, which is Asias largest Training Institute.
 
Best training institute

 

VSS Innovative Technologies - Marathahalli at Marathahalli - center entrance	 photo_18810 VSS Innovative Technologies - Marathahalli at Marathahalli - class room photo_18809 VSS Innovative Technologies - Marathahalli at Marathahalli - institute name board	 photo_18808 
Address: 1st flr portion A peter england showroom Outer Ring Rd Marathahalli Bridge 560037

 
training institutes Limles Technologies
Marathahalli
Best training institute

 

Limles Technologies at Marathahalli - 	center entrance photo_20161 Limles Technologies at Marathahalli - class room photo_20162 Limles Technologies at Marathahalli - 	center entrance photo_20160 
Address: 1st Floor Soul Space paradigm Near innovative Multiplex Marathahalli 560037

 
training institutes RJS Technologies - Marathahalli
Marathahalli
No Reviews. Write a Review
Best training institute
Address: #30 Vivekananda Layout Opp Sai Tanmayee PG for Gents Marathahalli 560037

 
Best Institute
Address: 17/1 2nd floor Bellandur Gate Sarjapur Maain road Opp spring field apartments Bellandur 560034

Established in the year , System Domain is headquartered in Bangalore and has more than twelve training institutes located across India. Awarded an ISO in
 
Best Institute
Address: No. 667 29th Main Road BTM 2nd Stage Kuvempu Nagar BTM IInd Stage 560076

We enabled the organisation to develop program curriculum that use cutting-edge instructional design methodologies and training delivery.
 
Best Institute
Address: 687 1st floor 29th Main 2nd Stage BTM Layout 560041

For nearly half a decade, InventaTeq has been NO.1 & Best Software Training Institute offering 100% Guaranteed JOB Placements, Cost-Effective, Quality & Real time Training courses on Software Testing
 
training institutes SimpliAxis Solutions
Marathahalli
No Reviews. Write a Review
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Reviews & Complaints of Data Science course providers in marathahalli

List of top Data Science training centers in marathahalli with training reviews and complaints.

 

 
Suma 4 Star Rating: Best Training (4-Best Training) Date Reviewed
I completed Data Science course. Explanation of each and every topic and making easier to understand. Instructor knowledge is good.
Institute reviewed : Infotech Mentors
 
 
Vikash 4 Star Rating: Best Training (4-Best Training) Date Reviewed
I like the way Bala Sir teach us the data science, he gives his 100% to make the student understand, and all the staffs are very friendly. Here they are providing the real time projects as well as short and long term internships .i.e. the best part of this institute.
Institute reviewed : Eminent IT Info
 
 
Nirmala Mahato 4 Star Rating: Best Training (4-Best Training) Date Reviewed
The way of teaching of bala sir.He is so dedicated and all the staff are helping..most important thing they are providing internship on data scienceuse projectors to teach..
Institute reviewed : Eminent IT Info
 


 

Data Science Placement training, Course fees, Trainer Profile in marathahalli

Learn Data Science training within 3 Months with Basic Placement Support in Marathahalli

- Course Offered by Huddle Rise
15 year of IT industry. 7 + yrs into data science working as senior architect. having strong knowledge on the big and data science areas. Delivered training for students. Focuses more on real time a
Introduction to R
Overview of R, R data types and object
Reading and writing data
control structures, functions, scoping rules
Introduction to Python
Use of Python in Data Science
Where to use python in real time
Python Environment setup, operators
Making Decisions & Loop Control
Python Data Types
Python ML Packages
Numpy,Pandas,Matplot lib,Scikit learn
Exploratory Data Analysis
Introduction To Machine Learning
What is Machine Learning?
What is the Challenge?
Introduction to Supervised Learning,Unsupervised Learning.
Linear Regression
Introduction to Linear Regression
Linear Regression with Multiple Variables
Disadvantage of Linear Models
Interpretation of Model Outputs
Understanding assumptions of linear regression
Descriptive Statistics
Describe or sumarise a set of data
The mean,median,mode, Kurtosis and skewness
Computing Standard deviation and Variance
Covariance, Correlation and Causation
Decision Trees
Unsupervised Learning
Natural Language Processing
Artificial Intelligence
Deep Learning

Data Science course Content / syllabus at marathahalli.

We gathered most widely used Data Science course content used by training institutes in marathahalli. The Data Science course syllabus covers basic to advanced level and it may vary based on Data Science training classes offered in marathahalli.

 

1. INTRODUCTION TO DATA SCIENCE

1.What is data science, relation to data mining, machine learning, big data and statistics
2.Motivating examples
3.Why is it interesting?
4.Several data science settings
5.Introduction to the WEKA tool
6.Practical information

2. GETTING TO KNOW YOUR DATA

1.From data to features
1.1.Interactive group discussion
1.2.Representing problems with matrices
1.3.Representing problem with relations
1.4.Example: Text with TFIDF
2.Computing simple statistics
2.1.Means, variances, standard deviations, weighted averaging, modes, quartiles
2.2.Example: Political predictions
3.Simple visualizations
3.1.Histograms
3.2.Boxplots
3.3.Scatterplots
3.4.Time series
3.5.Spatial data
4.Case studies
4.1.X & Y examples
4.2.Medical data

3. OVERVIEW OF TASKS & TECHNIQUES: PREDICTION

1.The prediction task
1.1.Definition
1.2.Examples
1.3.Format of input / output data
2.Prediction algorithms
2.1.Decision trees
2.2.Rule learners
2.3.Linear/logistic regression
2.4.Nearest neighbour learning
2.5.Support vector machines
3.Properties of prediction algorithms and practical exercises
4.Combining classifiers

4. EVALUATION AND METHODOLOGY OF DATA SCIENCE

1.Experimental setup
1.1.Training, tuning, test data
1.2.Holdout method, cross-validation, bootstrap method
2.Measuring performance of a model
2.1.Accuracy, ROC curves, precision-recall curves
2.2.Loss functions for regression
3.Interpretation of results
3.1.Confidence interval for accuracy
3.2.Hypothesis tests for comparing models, algorithms

5. DATA ENGINEERING

1.Attribute selection
1.1.Filter methods
1.2.Wrapper methods
2.Data discretization
2.1.Unsupervised discretization
2.2.Supervised discretization
3.Data transformations
3.1.PCA and variants
4.Exercises

6. OVERVIEW OF TASKS & TECHNIQUES: PROBABILISTIC MODELS

1.Introduction
1.1.Probabilities
1.2.Rule of Bayes and Conditional Independence
2.Naive Bayes
2.1.Application to spam filtering
3.Bayesian Networks
3.1.Graphical representation
3.2.Independence and correlation
4.Temporal models
4.1.Markov Chains
4.2.Hidden Markov Models

7. OVERVIEW OF TASKS & TECHNIQUES: EXPLORATORY DATA MINING

1.Introduction to Exploratory Data Mining
2.Association discovery
2.1.What is association discovery
2.2.What are the challenges
2.3.In detail: Apriori
3.Clustering
3.1.What is clustering
3.2.What are the challenges
3.3.In detail: agglomerative clustering
4.Hands-on: clustering in WEKA

8. CASE STUDIES IN DATA SCIENCE

1.Eve, the Pharmaceutical Robot Scientist: Data Science for Drug Discovery
2.Data science for sports analytics
3.Data science for sensor data

9. CHALLENGE
1.Introduction
2.Hands-on by participants
3.Discussion of results


 

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