Data Science Certification Training
In the HKR Trainings Data Science course provided by the experts. Data science is software here distributing and processing the large set of data into the cluster of computers. This duration, of course, make you upgrade your techniques and forward in a software career. It covers basic data science to Hadoop big data and python.
Upcoming Batch for Instructor-led Data Science Certification Training
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Training Content
Objectives
Brief explanation of data science and machine learning language
Discussion of various tools and techniques of data transformations
Different algorithms used in machine learning
Practice on real time data science project
Who Should Attend
• Developers aspiring to be a ‘Data scientist’ • Analytic manager who are maintain a team of analytics • Who want understand machine learning (ML) techniques
Prerequisites For Data Science Certification Training
No
Curriculum for Data Science Certification Training
What are data science, link to data mining, machine learning, big data and statistics
Motivating examples
Why is it interesting?
Several data science settings
Introduction to the WEKA tool
Practical information
From data to features
Interactive group discussion
Representing problems with matrices
Representing problem with relations
Example: Text with TFIDF
Computing simple statistics
Means, variances, standard deviations, weighted averaging, modes, quartiles
Example: Political predictions
Simple visualizations
Histograms
Boxplots
Scatterplots
Time series
Spatial data
Case studies
X & Y examples
Medical data
The prediction task
Definition
Examples
Format of input / output data
Prediction algorithms
Decision trees
Rule learners
Linear/logistic regression
Nearest neighbor learning
Support vector machines
Properties of prediction algorithms and practical exercises
Combining classifiers
Experimental setup
Training, tuning, test data
Holdout method, cross-validation, bootstrap method
Measuring performance of a model
Accuracy, ROC curves, precision-recall curves
Loss functions for regression
Interpretation of results
Confidence interval for accuracy
Hypothesis tests for comparing models, algorithms
Attribute selection
Filter methods
Wrapper methods
Data discretization
Unsupervised discretization
Supervised discretization
Data transformations
PCA and variants
Exercises
Introduction
Probabilities
Rule of Bayes and Conditional Independence
Naive Bayes
Application to spam filtering
Bayesian Networks
Graphical representation
Independence and correlation
Temporal models
Markov Chains
Hidden Markov Models
Introduction to Exploratory Data Mining
Association discovery
What is association discovery?
What are the challenges?
In detail: Apriori
Clustering
What is clustering?
What are the challenges?
In detail: agglomerative clustering
Hands-on: clustering in WEKA
Eve, the Pharmaceutical Robot Scientist: Data Science for the Drug Discovery
Data science for sports analytics
Data science for the sensor data
Introduction
Hands-on by participants
Discussion of results
Modes of Training
Trainings Features
FAQs
Each and every class is recorded so if you missed any class you can review the recordings and clarify any doubts with the trainer in next class.
Yes, we don’t assure 100% placement assistance. We are tied up with some corporate companies so when they have a requirement we send your profiles to them.
Yes, we provide demo before starting any training in which you can clear all your doubts before starting training.
Our trainers are real time experts who are presently working on particular platform on which they are providing training.
You can call our customer care 24/7
Max of the students get satisfied with our training, if you are not then we provide a specialised training in return.
Reviews
Certification Process
After Completion of training you will receive a course completion certificate from HKR Trainings which adds a value to your carrier and this is the entry to build a carrier with this certificate.
