Data Science

Data Science

0 STUDENTS ENROLLED

    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.

    Write a Review

    Your email address will not be published. Required fields are marked *

    Our trainers have relevant experience in implementing real-time solutions on different queries related to different topics. keen Technologies also verifies their technical background and expertise.

    We record each LIVE class session you undergo through and we will share the recordings of each session/class.

    If you have any queries you can contact our 24/7 dedicated support to raise a ticket. We provide you email support and solution to your queries. If the query is not resolved by email we can arrange for a one-on-one session with our trainers.

    You will work on real world projects wherein you can apply your knowledge and skills that you acquired through our training. We have multiple projects that thoroughly test your skills and knowledge of various aspect and components making you perfectly industry-ready.

    Our Trainers will provide the Environment/Server Access to the students and we ensure practical real-time experience and training by providing all the utilities required for the in-depth understanding of the course.

    If you are enrolled in classes and/or have paid fees, but want to cancel the registration for certain reason, it can be attained within 48 hours of initial registration. Please make a note that refunds will be processed within 30 days of prior request.

    The Training itself is Real-time Project Oriented.

    Yes. All the training sessions are LIVE Online Streaming using either through WebEx or GoToMeeting, thus promoting one-on-one trainer student Interaction.

    There are some Group discounts available if the participants are more than 2.

    As we are one of the leading providers of Online training, We have customers from USA, UK, Canada, Australia, India and other parts of the world.

    Course Reviews

    N.A

    ratings
    • 5 stars0
    • 4 stars0
    • 3 stars0
    • 2 stars0
    • 1 stars0

    No Reviews found for this course.

    PRIVATE COURSE
    • PRIVATE
    • 1 month
    Contact Us

    +1 475-212-0075

    Drop us a query

    Job Support

    Course Features

    Live Instructor-led Classes

    This isn't canned learning. Its dynamic, its interactive, its effective

    Expert Educators

    Only the best or they're out. We are constantly evaluating our trainers

    24&7 Support

    We never sleep. Need something answered at 3 am? No Problem

    Flexible Schedule

    You don't learn as per our calendar. We work according to yours.

    Customized Training's

    The most part self-managed and adaptable to suit a person's particular adapting technology needs

    Priority Based Training's

    Real-time Scenario based Assignments and Case Studies

    Disclaimer

    This web site or keentechnologies.com team is not associated with SAP AG or any other product. We are providing this service absolutely for Education and Training purpose only. We charge for the support services only, not for the actual SAP System access. Keen Technologies does not provide official SAP training courses or certifications and does not provide any access to SAP software. SAP and its product names, including HANA, S/4HANA, HYBRIS, and LEONARDO are trademarks or registered trademarks of SAP in Germany and other countries.

    Keen Technologies does not provide official SAP training courses or certifications and does not provide any access to SAP software. SAP and its product names, including HANA, S/4HANA, HYBRIS, and LEONARDO are trademarks or registered trademarks of SAP in Germany and other countries.

    IBM® is a registered trademark of IBM in the United States.

    Popular Courses

    Countries

    Keen Technologies offering training in cities: Bangalore, Hyderabad, Chennai, Delhi, Kolkata, UK, London, Texas, Chicago, San Francisco, Dallas, Washington, New York, Houstan, Atlanta, Orlando, Boston, Toronto, Ottawa, Windsor, Australia, Dubai, Leeds.


    ONLINE MEETING PARTNERS

    top
    COPYRIGHT © 2020 KEEN IT TECHNOLOGIES PVT.LTD, ALL RIGHTS RESERVED
    WhatsApp us whatsapp