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Data Science Online Training

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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, K-Means Clustering, NaïveBayes, connecting R with Hadoop framework, work on real world projects and realtime scenario based interview questions. – PowerPoint PPT presentation

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Title: Data Science Online Training


1
Data Science Online Training
  • By CRS Info Solutions

FREE DEMO
Online Training
Experienced Trainer
2
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, K-Means Clustering, NaïveBayes,
    connecting R with Hadoop framework, work on real
    world projects and realtime scenario based
    interview questions.

3
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

4
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

5
  • 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

6
  • 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 its working?
  • Types of Recommendation Types
  • User-Based Recommendation
  • Item-Based Recommendation
  • Difference User-Based and Item-Based
    Recommendation
  • Recommendation Use-case

7
  • 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

8
  • 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 ANNs

9
About Data Science Online Training
  • What is Business Analytics / Data Analytics?
  • 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).
  • 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.

10
  • 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.

11
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/classifica
    tion/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)

12
  • 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

13
  • 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 247 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.

14
Contact Us
  • CRS Info Solutions
  • Visit https//www.crsinfosolutions.com/courses/da
    ta-science-training/
  • Data Science Online Training
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