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Description

Data Scientist – Professional Certification Training/Placement!

Course Objectives:

“Data is the new oil fuelling the growth of industry, institutions and nations” in the21st century. We are in the era of information technology which drives the world through efficient and effective use of data for business decisions. Any graduate with no data knowhow might face stiff competition in shaping their career unable to uniquely differentiate themselves in the market. Here is an opportunity for you to race ahead in your career right after graduation.

The data science training offered at Savesoft, Inc has been designed specifically to enable the most of relevant data with the required statistical concepts and tools. At the end of this training you should be prepared to take up an exciting job opportunity in the field of Data Science. This data science course will provide you a strong foundation to understand the problem, design the analysis and apply predictive modeling techniques to derive business insights from data.

With growing trends in the futuristic business prospects and with ever fluctuating market volatility, even the trusted organizations built with most reliable processes find it challenging to adapt in order to achieve growth year on year. Every organization raises and falls on data driven decision making. And data decisions start early and small. This course will cover the essential parts including but not limited to:

 Data Trends and applications
 The fine and best aspects of analytics
 Strategies and applied principles
 Strong foundation aspects of data analytics
 Knowledge driven decision making
 Strong hands-on data analytics knowhow
 Training and support for acquiring experience
 Tools and systems
 Motivation and monetization of data

“Free Webinar on Data Analytics”
Limited spots available. Don’t wait…Reserve your spot today!!!

Key Note Address: Data Analytics / Data Science
When: Sunday, November 6th 2016
Time: 8-9pm EST
Registration: Email your confirmations

Course Highlights:
*Extensive Professional Training
*Instructor-Led Course
*Training Video Recordings
*Quality Training Materials
*Two-Way Interactive Sessions
*Flexible Online Schedules
*Professional Certification
*Capstone Projects
*Mock Exam/Assessment
*Interview Prep
*Placement Guidance


Who should attend? (Pre-requisites):

The booming demand for skilled data scientists across industries makes this course suited for all individuals at all levels of experience. We recommend this data science training especially to the following professionals:

• Entry-level Data Analysts wanting to understand Data Science methodologies
• Non IT professionals aspiring to get into Data Analytics.
• Systems Analysts and programmers interested in expanding their role as a Data Scientist
• SAS/SPSS Professionals looking to gain understanding in Big Data Analytics
• Business and data analysts looking to add big data analytics skills, & to understand Machine Learning (ML) Techniques
• 'R' professionals who want to captivate and analyze Big Data
• Hadoop Professionals who want to learn R and ML techniques
• Managers of business intelligence, analytics, or big data groups
• Information Architects who want to gain expertise in Predictive Analytics
• College graduates considering data science as a career field

Course Modules:
 Introduction to Data Science
 Introduction to Analytics with R & tools
 Basic Data Manipulation using R
 Exploratory Data Analysis
 Introduction to Statistics
 Regression Analysis
 Machine Learning Techniques using R
 Data Visualization
 Introduction to Big Data (Hadoop) ecosystem
 Capstone Projects
 Mock Exam


Course Details:
*Start Date: October 17 / November 28, 2016
*Training Duration: 5-6 weeks
*Training Days/Timing: Monday/Wednesday/Friday: 7-9.30pm EST
*Location: Online to students Worldwide


Contact Details:
HR DEPARTMENT
Ph No: 703-554-7934
Email: hr@savesoftinc.com


Additional information

Website/ URL: www.savesoftinc.com
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    Registered on October 31, 2016

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    United States, District of Columbia, Washington

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