Data Science Online Training

Introduction

Data Science is an interdisciplinary system about processes and methods to extract expertise or observations from data in several forms, sometimes structured or unstructured, which is a continuation of a number of the data analysis systems for example data mining, analysis, and predictive analytics, much like Knowledge Discovery in Databases. Data science implements tactics and hypotheses drawn from many fields in the broad areas of mathematics, chemo metrics, statistics, computer science and information science, including signal processing, machine learning, probability models, data mining, statistical learning, database, data engineering, learning and pattern recognition, predictive analytics, visualization, uncertainty modeling, data compression, computer programming, data warehousing, high performance computing and artificial intelligence.

COURSE SUMMARY:

Course Name Data Science / R predictive Analytics Online Training
Contents Basics of Data Science, manipulations, statistics , machine learning etc.
Duration 70 Hours with Flexible timings
Delivery Instructor Led-Live Online Training
Eligibility Any Graduate
Ideal For Freshers, aspirants seeking to learn theData Science
Next Batch Please visit the schedule section

Course Objectives

  • Deep understanding of the Roles of a Data Scientist
  • How to use R, Hadoop and Machine Learning to analyze Big Data
  • Understand the Life Cycle of Data Analysis
  • Learn the techniques and tools for data transformation
  • Understand Data Mining techniques and their implementation
  • How to use machine learning algorithms in R to analyze data
  • Understanding of data optimization and visualization techniques
  • Understand the parallel processing features in R

PREREQUISITES:

  • No Pre-requisites are required.

Course Curriculum

MODULE 1 : INTRODUCTION TO DATA ANALYTICS

  • Origin of R
  • Downloading & Installing R, R Studio
  • Interface of R-
  • R Components.

MODULE 2: DATA INPUTTING IN R

  • Data Types, Data objects & Data structures
  • Creating a vector & Vector operations
  • Sub setting
  • Writing Data
  • Reading Tabular data files
  • Reading CSV data files
  • Initializing Data frame
  • Selecting Data frame columns by position and name.
  • Redirecting R output.

MODULE 3: DATA MANIPULATIONS IN R

  • Appending data to a vector
  • Combining Multiple Vectors
  • Merging data frames
  • Data Transformation
  • Control structures
  • Nested loops
  • Splitting
  • String and Dates
  • Handling NA and missing values
  • Matrices & Arrays
  • Functions in R
  • Logical operators
  • Relational operators
  • Generating Random Variables
  • Accessing Variables
  • Matrices multiplication
  • Managing subset of data
  • Data Aggregation
  • Multiple Aggregations
  • 4 Control Structures, Functions
  • Looping on Command Line
  • Debugging
  • Simulations
  • Plotting – Base Graphics
  • Plotting – Lattice Graphics
  • Plotting – Mathematical Annotations
  • Plotting & Color

STATISTICS

MODULE 4: UNIVARIATE ANALYSIS

  • Measure of central tendency
  • Dispersions
  • Distributions
  • Tests

MODULE 5: MULTI VARIATE ANALYSIS

  • Correlation
  • Regression
  • A brief Introduction of Machine learning
  • Supervised learning
  • Unsupervised learning
  • Reinforcement learning

MODULE 6: REGRESSION MODELS

  • linear regression models
  • Non Linear regression models
  • Logistic
  • Regression models using Excel

MODULE 7: FACTOR ANALYSIS

  • Introduction to PCA
  • Association Rule mining
  • Market basket analysis

MODULE 8: TREE MODELS

  • Decision Tree
  • Random forest
  • Time series / forecasting.
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Write Review

Excellent Virtual Class

★★★★★
5 5 1
The instructor was very good and prompt in responding to questions. Excellent virtual class experience. Good Work IQ Online Training!

Good academic course options

★★★★★
5 5 1
Good academic course options

Beyond Expectation

★★★★★
5 5 1
The instructor's way of training is beyond expectation. Very detail oriented and helpful.

Great classes offered!

★★★★★
5 5 1
I first took the course on site and as well as had the practice exams online, it was a great class! The instructor was truly helpful and having the exams mimic the actual test was awesome as well. I then took this course and that was amazing as well because you were able to secure your entire credit hours in order to take the exam! Truly would recommend IQ ONLINE TRAININGS to anyone

My Experience about this Course.

★★★★★
5 5 1
I have signed up for this course. At first, I felt that it's very difficult to do the live 4 projects, I thought I might fail the project but, IQ Online Training global teaching assistant Rani & Divya helped a lot especially Neha cleared my doubts & She's is very friendly in nature. I'm thankful to Rani. Now I successfully completed the project. While coming to the course & material .They have provided well-structured course videos from the basic to advanced level with examples. IQ Online Training is a good place to learn especially they will treat the students in a good way but the important thing is it's up to you investing the money in any course. Here you have to respect the knowledge, not the money. If you think that so much of money I have invested in this particular course is it worthy like that negatively, everything is gone in vain. So respect the knowledge what they are provided. Knowledge is Power, Power brings you Money & Respect. The Truth is that Money doesn't make you Rich but Knowledge Does.

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Data Science Online Training - Fine
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