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Data Science (will include Big Data Development, Business Analytics with R & Machine Learning with R) -iPartner
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Big Data, Data Science Training - Combo Course

  1. Big Data, Data Science Training - Combo Course
24/36 weeks / 1222*
(* including all taxes.)


Key Features
SMALL
BATCHES
MENTORING
BY EXPERTS
FLEXIBLE
SCHEDULE
LEARN
BY DOING
GOAL
ORIENTED



Course Agenda


  • Why is Data So Important? Pre-requisite – Data Scale What is Big Data? Big Bank: Big Challenge Customer Churn Analysis Point-of-Sale Transaction Analysis Common Problems 3 Vs of Big Data Defining Big Data Sources of Data Flood Exploding Data Problem Redefining the Challenges of Big Data Possible Solutions Scaling Up Vs. Scaling Out Challenges of Scaling Out Solution for Data Explosion-Hadoop Hadoop: Introduction Hadoop in Layman's Term Hadoop Ecosystem Evolutionary Features of Hadoop Big Data Benchmarks Hadoop Timeline Why Learn Big Data Technologies? Who is Using Big Data? Yearly Salaries in Big Data World Job Trends in Big Data Assessments and Quiz
  • HDFS: Introduction
  • Design of HDFS
  • Why Hadoop Cluster?
  • HDFS Blocks
  • Components of Hadoop 1.x
  • NameNode and Hadoop Cluster
  • Arrangement of Racks
  • Arrangement of Machines and Racks
  • Local FS and HDFS
  • NameNode
  • Checkpointing
  • Replica Placement
  • Benefits-Replica Placement and Rack Awareness
  • URI, URL and URN
  • HDFS Commands
  • Assessments and Assignment
  • Hands-On:
  • a) Pig Latin Commands
  • b) Use Case with YouTube Data
  • Sentiment Analysis on Twitter data using Apache Pig
  • Assessments and Assignment
  • Hands-On:
  • Writing Pig UDF
  • Execution of xml file Using Pig
  • Advanced Joins Using Pig
  • Ebooks on real time case studies on Pig
  • Assessments and Quiz
  • Mini Project discussion Flume Introduction, Flume use case
  • "What is Business Analytics?
  • Evolution of Business Analytics
  • Scope of Business Analytics
  • Data for Business Analytics
  • Decision models
  • Companies using R extensively
  • Role of a data scientist"

  • "Why R
  • Installing R studio desktop
  • Understanding R studio
  • Setting your work directory
  • Installing packages and libraries in R studio
  • The Google for R
  • Important R packages
  • Data mining GUI in R
  • Graph GUI in R
  • Learn swirl"
  • "Control and flow operators
  • Make a script in R
  • Writing functions in R
  • Creating R package"
  • "Data types : arrays & general array operations
  • Data types : lists & general list operations
  • Data types : Data frame & general data frame operations
  • Factors"
  • "Control and flow operators
  • Make a script in R
  • Writing functions in R
  • Creating R package"
  • "Types of visualization
  • Graphs in R
  • Line plots
  • Bar charts
  • Pie charts
  • Histograms & density plots
  • Scatter plots
  • 3-D & parallel coordinates"
  • "Why study statistics
  • Applications of statistics
  • Types of statistics
  • Population vs sample
  • Types of data
  • Types of statistical variables
  • Summarize the data
  • Make decisions using summary statistics"

  • • What is machine learning?
  • • Learning system model
  • • Training and testing
  • • Performance
  • • Algorithms
  • • Machine learning structure
  • • What are we seeking?
  • • Learning techniques
  • • Instance Based Classifiers
  • • Nearest-Neighbor Classifiers
  • • Lazy vs. Eager Learning
  • • k-NN variations
  • • How to determine the good value for k
  • • When to Consider Nearest Neighbors
  • • Condensing
  • • Nearest Neighbour Issues
  • • Ensemble Approaches
  • • Bagging Model
  • • Boosting
  • • The AdaBoost Algorithm
  • • Gradient Boosting
  • • Random Forests
  • • RIF, RIC
  • • Advantages, Disadvantages
  • Background of Brain and Neuron
  • Neural Networks
  • Neurons Diagram
  • Neuron Models- step function ,ramp func etc
  • Perceptions
  • Network Architectures
  • single-layer feed-forward
  • Understanding terminology of each of the output of linear regression
  • Residuels vs Fitted
  • Residuels vs Regression
  • Diagnostic Plots
  • • Correlation
  • • Strength of Linear Association
  • • Least-squares or regression line
  • • Linear Regression Model
  • • Correlation Coefficient, R
  • • Multiple Regression
  • • Regression Diagnostics
  • Understanding terminology of each of the output of linear regression
  • Residuels vs Fitted
  • Residuels vs Regression
  • Diagnostic Plots
  • MAJOR Project discussion. Getting started with Spark - Part 1 Discussing EBook 1 on Spark

Learn & Get

  • MAJOR Project discussion. Getting started with Spark - Part 1 Discussing EBook 1 on Spark
  • Understand various Plotting Techniques
  • Learn the concept of Logistic Regression
  • Perform hands-on exercises and Solve complex queries
  • earn Data Conversion, Data Collection and Data Interpretation
  • Learn rules of Probability and Bayes Theorem

Payment Method

PAYMENT METHODS
You need to pay through PayPal. We accept both Debit and Credit Card for transaction.
SCHOLARSHIPS
We subsidize our fees by 10% for military personnel, and college students with exceptional records. To apply for a scholarship, email info@ipartner.ca
FREQUENTLY ASKED QUESTIONS
In our iPartner self-paced training program, you will receive the training assessments, recorded sessions, course materials, Quizzes, related softwares and assignments. The courses are designed in such a way that you will the get real world exposure; the solid understanding of every concept that allows you to get the most from the online training experience and you will be able to apply the information and skills in the workplace. After the successful completion of your training program, you can take quizzes which enable you to check your level of knowledge and also enables you to clear your relevant certification at higher marks/grade where you will be able to work on the technologies independently.
In Self-paced courses, the learners are able to conduct hands-on exercises and produce learning deliverables entirely on their own at any convenient time without a facilitator whereas in the Online training courses, a facilitator will be available for answering queries at a specific time to be dedicated for learning. During your self-paced learning, you can learn more effectively when you interact with the content that is presented and a great way to facilitate this is through review questions and quizzes that strengthen key concepts. In case if you face any unexpected challenges while learning, we will arrange a live class with our trainer.
All Courses from iPartner are highly interactive to provide good exposure to learners and gives them a real time experience. You can learn only at a time where there are no distractions, which leads to effective learning. The costs of self-paced training are 75% cheaper than the online training. You will offer lifetime access hence you can refer it anytime during your project work or job.
Yes, at the top of the page of course details you can see sample videos.
As soon as you enroll to the course, your LMS (The Learning Management System) Access will be Functional. You will immediately get access to our course content in the form of a complete set of previous class recordings, PPTs, PDFs, assignments and access to our 24*7 support team. You can start learning right away.
24/7 access to video tutorials and Email Support along with online interactive session support with trainer for issue resolving.
Yes, You can pay difference amount between Online training and Self-paced course and you can be enrolled in next online training batch.
Please send an email. You can join our Live chat for instant solution.
We will provide you the links of the software to download which are open source and for proprietary tools, we will provide you the trail version if available.
You will have to work on a training project towards the end of the course. This will help you understand how the different components of courses are related to each other.
Classes are conducted via LIVE Video Streaming, where you get a chance to meet the instructor by speaking, chatting and sharing your screen. You will always have the access to videos and PPT. This would give you a clear insight about how the classes are conducted, quality of instructors and the level of Interaction in the class.
Yes, we do keep launching multiple offers that best suits your needs. Please email us at: info@ipartner.ca and we will get back to you with exciting offers.
We will help you with the issue and doubts regarding the course. You can attempt the quiz again.
Sure! Your feedbacks are greatly appreciated. Please connect with us on the email support - info@ipartner.ca.