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Data Scientist

SaveSoft, Inc
Maine, New York, United States
July 23, 2019


Data Scientist (Data Analytics) – Professional Certification Training!

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.

Course Highlights:

*Extensive Professional Training

*Instructor-Led Course

*Training Video Recordings

*Quality Training Materials

*Two-Way Interactive Sessions

*Flexible Online Schedules

*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 2, 2017

*Training Duration: 5-6 weeks

*Training Days/Timing: Monday/Wednesday/Friday: 7-9.30pm EST

*Location: Online to students Worldwide

Contact Details:


Ph No: 703-554-7934