Data science online training by crs info solutions

Data Science Online Training

By CRS Info Solutions FREE DEMO

Experienced Trainer

Online Training

About CRS Info Solutions

 CRS Info Solutions offering the best Data Science Online Training

with real time instructors and free material. Join our interactive live demo today to clear your questions. Our training is hands-on job oriented and real time project based. We teach you data analysis, deploying R Statistical computing, machine learning algorithms, KMeans Clustering, NaïveBayes, connecting R with Hadoop framework, work on real world projects and realtime scenario based interview questions.

Course Overview

 What is Data Science? What does Data Science involve?  Era of Data Science  Business Intelligence vs Data Science  Life cycle of Data Science  Tools of Data Science  Introduction to Big Data and Hadoop  Introduction to R  Introduction to Spark  Introduction to Machine Learning

What is Statistical Inference

 Terminologies of Statistics  Measures of Centers  Measures of Spread  Probability  Normal Distribution  Binary Distribution

Data Analysis Pipeline  What is Data Extraction  Types of Data  Raw and Processed Data  Data Wrangling  Exploratory Data Analysis  Visualization of Data

Machine Learning  Machine Learning Use-Cases  Machine Learning Process Flow  Machine Learning Categories  Supervised Learning  Linear Regression  Logistic Regression

Classification and its use cases       

What is Decision Tree?

Algorithm for Decision Tree Induction Creating a Perfect Decision Tree Confusion Matrix What is Random Forest?

What is Navies Bayes?

Support Vector Machine: Classification

Clustering & its Use Cases  What is K-means Clustering?  What is C-means Clustering?  What is Canopy Clustering?  What is Hierarchical Clustering?

What is Association Rules & its use cases      

What is Recommendation Engine &it’s working?

Types of Recommendation Types User-Based Recommendation Item-Based Recommendation Difference: User-Based and Item-Based Recommendation Recommendation Use-case

The concepts of text-mining  Use cases  Text Mining Algorithms  Quantifying text  TF-IDF  Beyond TF-IDF

What is Time Series data  Time Series variables  Different components of Time Series data  Visualize the data to identify Time Series Components  Implement ARIMA model for forecasting  Exponential smoothing models  Identifying different time series scenario based on which different

Exponential Smoothing model can be applied  Implement respective ETS model for forecasting

Reinforced Learning  Reinforcement learning Process Flow  Reinforced Learning Use cases  Deep Learning  Biological Neural Networks  Understand Artificial Neural Networks  Building an Artificial Neural Network  How ANN works  Important Terminologies of ANN’s

About Data Science Online Training

What is Business Analytics / Data Analytics? ďƒ˜ Business Analytics or Data Analytics is an extremely high-in-

demand profession which requires a professional to possess sound knowledge of analyzing data in all dimensions and uncover the unseen truth coupled with the logic and domain knowledge to impact the top-line (increase business) and bottom-line (increase revenue). ďƒ˜ Also Google Trends shows the upward trajectory with an exponential increase in volume of searches like never seen before.

This is proof enough to back the statements made by Harvard Business Review and the business research giants, that Business Analytics will be the most sort after professional world has ever witnessed.

What is a Data Scientist? Or Rather Who is a Data Scientist?  Data for a Data Scientist is what Oxygen is to Human Beings. This is

also a profession where statistical adroit works on data – incepting from Data Collection to Data Cleansing to Data Mining to Statistical Analysis and right through Forecasting, Predictive modeling and finally Data Optimization. A Data Scientist does not provide a solution; they provide most optimized solution out of the many available.  Gartner predicted in 2012 that Data Scientist & Business Analytics jobs will increase to the tunes of Millions by the end of 2015. This is very evident with the rise in job opportunities in various job portals.

As a Data Scientist or an aspirant you should not believe us. Go! research for your own and confirm the facts and figures.

Who should do Business Analytics Course

Professionals who can consider Business Analytics / Data Analytics Certification Training as a next logical move to enhance in their careers includes:  Professionals working on Business intelligence & reporting tools  Professionals working on Data warehouse technologies  Statisticians, Economists, Mathematicians  Software programmers (they have an edge in writing code to accomplish a prediction/classification/forecasting model)  Business analysts (they have an edge in terms of industry/sector/domain experience)  Six Sigma consultants who already have exposure to statistics  Freshers (market demand is thriving organisations to hire the freshers trained on analytics)

How to become a Data Scientist?

Accrue knowledge on dealing with data by getting trained and/or certified by any of the well-known institutes which have rich experience working closing with the ever evolving industry.

Knowing data analytics tools or data mining software alone will not help you analyze data.

So WHAT else is required?

One should possess Domain/Sector/Industry knowledge and learn relevant concepts to strike the right nail. A few such examples which are not limited to those mentioned are:  One into web development might want to learn Web Analytics  One into search engine optimisation might want to learn Social Media Analytics & Website Analytics  One into sales & marketing might want to learn Marketing Analytics, Customer analytics, Twitter Analytics, Facebook Analytics, Social Media Analytics, Data Collection tools  One into human resources might want to learn Workforce Analytics  One into health care might want to learn Healthcare Data Analytics

Highlights in our training: Very in depth course material with real time scenarios.  We are providing online class with highly qualified trainer.  We will provide class and demo session at student flexible timings.  In training case studies and real time scenarios covered.  We will give 24*7 technical supports.  Each topic coverage with real time solutions.  We are providing normal track, weekend, fast track classes.  We will provide the day to day class video for play later.  We are providing certification oriented trainings with 100% pass guarantee. We will

give full support while attending the interviews and contact me any time after completion of the course.

Contact Us CRS Info Solutions Visit: https://www.crsinfosolutions.com/courses/data-scienc e-training/ Data Science Online Training