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09:00 - 13:00 CDT 10 sessions
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22:30 - 02:30 CDT 10 sessions
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09:00 - 13:00 CDT 10 sessions
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22:30 - 02:30 CDT 10 sessions
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09:00 - 13:00 CDT 10 sessions
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About the program
What are the learning objectives?
Simplilearn's Data Scientist Master’s Program will help you master skills and tools like Statistics, Hypothesis testing, Clustering, Decision trees, Linear and Logistic regression, R Studio, Data Visualization, Regression models, Hadoop, Spark, PROC SQL, SAS Macros, Statistical procedures,Advanced analytics, Matplotlib, Excel analytics functions, Hypothesis testing, Zookeeper, Kafka interfaces. These skills will help you prepare for the role of a Data Scientist.
The program provides access to high-quality eLearning content, simulation exams, a community moderated by experts, and other resources that ensure you follow the optimal path to your dream role of data scientist.
Recommended Learning Path:
Why be a Data Scientist?
Data scientist is the pinnacle rank in an analytics organization. Glassdoor has ranked data scientist first in the 25 Best Jobs for 2016, and good data scientists are scarce and in great demand. As a data you will be required to understand the business problem, design the analysis, collect and format the required data, apply algorithms or techniques using the correct tools, and finally make recommendations backed by data.
What projects are included in this program?
This Data Scientist Master's program includes 17+ real-life, industry-based projects on different domains to help you master concepts of Data Science like Data Management, Statistics, Big Data. A few of the projects, that you will be working on are mentioned below:
Project 1: Learn how leading Healthcare industry leaders make use of Data Science to leverage their business.
Domain: Health Care
Description: Predictive analytics can be used in healthcare to mediate hospital readmissions. In healthcare and other industries, predictors are most useful when they can be transferred into action. But historical and real-time data alone are worthless without intervention. More importantly, to judge the efficiency and value of forecasting a trend and ultimately changing behavior, both the predictor and the intervention must be integrated back into the same system and workflow where the trend originally occurred.
Project 2: Understand how the Insurance leaders like Berkshire Hathaway, AIG, AXA, etc make use of Data Science by working on a real-life project based on Insurance.
Domain: Insurance
Description: Use of predictive analytics has increased greatly in insurance businesses, especially for the biggest companies, according to the 2013 Insurance Predictive Modeling Survey. While the survey showed an increase in predictive modeling throughout the industry, all respondents from companies that write over $1 billion in personal insurance employ predictive modeling, compared to 69% of companies with less than that amount of premium.
Project 3: See how banks like Citigroup, Bank of America, ICICI, HDFC make use of Data Science to stay ahead of the competition.
Domain: Banking
Description: A Portuguese banking institution ran a marketing campaign to convince potential customers to invest in a bank term deposit. Their marketing campaigns were conducted through phone calls, and sometimes the same customer was contacted more than once. Your job is to analyze the data collected from the marketing campaign.
Project 4: Learn how Stock Markets like NASDAQ, NSE, BSE, leverage on Data Science and Analytics to arrive at a consumable data from complex datasets.
Domain: Stock Market
Description: As a part of the project, you need to import data using Yahoo data reader of the following companies: Yahoo, Apple, Amazon, Microsoft, and Google. Perform fundamental analytics including plotting closing price, plotting stock trade by volume, performing daily return analysis, and using pair plot to show the correlation between all the stocks.
Project 5: See how Data Science is used in the field of engineering by taking up this case study of MovieLens Dataset Analysis.
Domain: Engineering
Description: The GroupLens Research Project is a research group in the Department of Computer Science and Engineering at the University of Minnesota. The researchers of this group are involved in many research projects related to the fields of information filtering, collaborative filtering, and recommender systems.
Project 6: Understand how leading retail companies like Walmart, Amazon, Target, etc make use of Data Science to analyze and optimise their product placements and inventory.
Domain: Retail
Description: Analytics is used in optimizing product placements on shelves or optimization of inventory to be kept in the warehouses using industry examples. Through this project, participants learn the daily cycle of product optimization from the shelves to the warehouse. This gives them insights into regular occurrences in the retail sector.
Tools Covered
Advanced Analytics Tools
Data Collection ampamp Storage Tools
ETL Tools
File System
Programming Tools
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Course Advisor
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Paul Sharkov Data Scientist at BMO Financial Group, Member of SAS Canada Community
Paul is lead SAS Data Scientist at Bank of Montreal. As a SAS Certified Predictive Modeler, SAS Statistical Business Analyst, and SAS Certified Advanced Programmer, Paul is passionate about sharing his knowledge on how data science can support data-driven business decisions.
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Ronald van Loon Top 10 Big Data & Data Science Influencer, Director - Adversitement
Named by Onalytica as one of the three most influential people in Big Data, Ronald is also an author for a number of leading Big Data and Data Science websites, including Datafloq, Data Science Central, and The Guardian. He also regularly speaks at renowned events.
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Simon Tavasoli Analytics Lead at Cancer Care Ontario
Simon is a Data Scientist with 12 years of experience in healthcare analytics. He has a Master’s in Biostatistics from the University of Western Ontario. Simon is passionate about teaching data science and has a number of journal publications in preventive medicine analytics.
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Sina Jamshidi Big Data Lead at Bell Labs
Sina has over 10 years of experience in the technology field as a Big Data Architect at Bell Labs and a Platinum level trainer. Sina is a very passionate about building a Big Data education ecosystem and has been a contributor in a number of public and journal publications.
Learning path
Course 1
Online Classroom Flexi Pass
Classroom Schedule
Course Content
Data Science With SAS Training
In this SAS Certification Training, you’ll become an expert in analytics techniques using the SAS data science tool. You’ll learn how to apply data manipulation
and optimization techniques; advanced statistical concepts like clustering, linear regression and decision trees; data analysis methods to solve real world business problems and predictive modeling techniques. This SAS Certification course will give you practical knowledge you can apply on your next data analysis job.
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Online Classroom Flexi Pass
Classroom Schedule
Course Content
Data Science Certification Training - R Programming
Become an expert in data analytics using the R programming language in this data science certification training course. You’ll master data exploration, data visual
ization, predictive analytics and descriptive analytics techniques with the R language. With this data science course, you’ll get hands-on practice on R CloudLab by implementing various real-life, industry-based projects in the domains of healthcare, retail, insurance, finance, airlines, music industry, and unemployment.
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Powered by
Online Classroom Flexi Pass
Classroom Schedule
Course Content
Big Data Hadoop And Spark Developer
The Big Data Hadoop and Spark developer course has been designed to impart an in-depth knowledge of Big Data processing using Hadoop and Spark. The course is packed
with real-life projects and case studies to be executed in the CloudLab.
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Powered by
Online Classroom Flexi Pass
Classroom Schedule
Course Content
Data Science With Python
This Data Science with Python course will establish your mastery of data science and analytics techniques using Python. With this Python for Data Science Course, you
’ll learn the essential concepts of Python programming and become an expert in data analytics, machine learning, data visualization, web scraping and natural language processing. Python is a required skill for many data science positions, so jumpstart your career with this interactive, hands-on course.
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Powered by
Business Analytics With Excel
Business Analytics with excel training has been designed to help initiate you to the world of analytics. For this we use the most commonly used analytics tool i.e. M
icrosoft Excel. The training will equip you with all the concepts and hard skills required to kick start your analytics career. If you already have some experience in the IT or any core industry, this course will quickly teach you how to understand data and take data driven decisions relative to your domain using Microsoft excel. For a new-comer to the analytics field, this course provides the best required foundation. The training also delves into statistical concepts which are important to derive the best insights from available data and to present the same using executive level dashboards. Finally we introduce Power BI, which is the latest and the best tool provided by Microsoft for analytics and data visualization.
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Apache Kafka
In this Apache Kafka certification course, you will learn to master the architecture, installation, configuration and interfaces of Kafka open-source messaging. With
this Kafka training, you will learn the basics of Apache ZooKeeper as a centralized service and develop the skills to deploy Kafka for real-time messaging. The course is part of the Big Data Hadoop Architect master’s program and is recommended for developers and analytics professionals who wish to advance their expertise.
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Masters Program Certificate
Electives
- Certified SAS Base Programmer
- Introduction to Big Data and Hadoop
- Python Basics
- Java essentials for hadoop training
Get Ahead with Simplilearn's Master Certificate
Reviews
Mohit Chaturvedi Project Lead at Capgemini
It was a great learning experience with Simplilearn. They offer great courses with both online and interactive lectures. Overall the learning was very simple, as the name says Simplilearn. Great faculties and customer service to adhere your queries and concerns quickly. I would highly recommend Simplilearn.
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Bhaskar Das Sr Software Engineer at IBM
I have enrolled in Data Scientist Master course from Simplilearn. They have awesome study material and the trainers available for online classes have in-depth knowledge about the topic. They helped to clear doubts as and when needed. Besides, their cloud lab is quite a place worth practicing the concepts which are taught in the class. What makes this course awesome is that it is flexible and you can complete at your own pace.
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Arbind Kumar IN at Nokia Siemens Network
I am very happy with the training I received from Simplilearn. All the sessions were well planned and executed to perfection which helped me obtain comprehensive knowledge and right skills for the Data Science Field. I am now confident that I will have stellar professional growth.
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Karan Mahale Founder of GSTeFile
I have enrolled for Masters in Data Science with Simplilearn. The course is very well designed and perfect for working professionals. The online classroom is interactive and very well managed. Even though I am from a non-technical background, I could easily understand the course material. The faculty is friendly and they are extensively experienced in the field of Analytics. The Q&A at the end of chapters is something I especially loved as it gave me a thorough understanding of the topics taught and helped me refresh the concepts well. The support system is very efficient and will be there to help you out round the clock. Thanks to Simplilearn for providing such a great learning experience and revitalizing my work life.
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Mahadev Appa Associate IT Consultant at ITC Infotech
The Data Scientist certification program from Simplilearn was a great experience. The Ebooks and online LMS videos made the course material easy to understand. The trainer was knowledgeable and he related real-life incidents associated with this course which I think was a great idea. I could download the instructor-led class recordings and go back to listen to them anytime. The certification helped me gain deeper expertise in this domain and provided me the platform to understand the concepts and to perform better in my daily work.
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Manjunath Icchangi Assistant Manager at EXL
This course is designed for students and working professionals and is relevant and updated. The instructors are extensively experienced in the field of analytics. They use current examples and complex problems at work to explain key concepts; this makes every class lively and interactive. I work for a retail client and my team works with large sets of data. I am able to apply the knowledge gained from this training to work on these datasets and generate useful insights for my clients. These insights are used to power business decisions for my clients' companies. Thanks to Simplilearn for providing a great learning experience and refreshing my career.
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Prasenjeet Sahoo Software Engineer at 1mg
I always had a passion for data science and wanted to build my career in this domain. Simplilearn’s Data Scientist training helped me to acquire the skills I needed and their JobAssist program helped me to enhance my career from Programmer Analyst to Software Engineer with a salary hike.
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Paulami DuttaMukherjee 3rd Data Scientist Masters Trainee at Simplilearn
I have taken up Simplilearn’s Data Scientist Master’s course and the training materials like online self-learning videos, practice tests, end-of-chapter quizzes, etc are remarkably good. The trainers are friendly and ever-willing to resolve your queries. The most impressive feature provided by Simplilearn is that that they provide you with all the class recordings so you can revisit them whenever you want to brush up your concepts. Kudos, Simplilearn!
Read more Read lessPeeyush Parimal Technical Designer at BT
I have enrolled with Data Scientist Course and find its content really good. The classroom sessions provide you with ample opportunities to get your queries clarified and the offline contents give you a good understanding of the subject. Simplilearn also has an online lab wherein you can practice your newly learned concepts and discuss it with the instructor in your subsequent classes. Overall SImplilearn is a great learning platform.
Read more Read lessFAQs
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What courses will be available for live instructor led online classes?
The courses that will be available for live instructor-led online classes under this Masters course are:
You’ll get access to 160+ live instructor led online classes over the span of a year, enabling you to revisit every course at your convenience. You’ll also get access to our batch session recordings to complete theSrl No Course Name Monthly no. of online classes availability 1 Data Scientist with R Programming 4 2 Data Scientist with SAS Training 2 3 Big Data Hadoop Developer 6 4 Data Science with Python 2 5 Business Analytics with Excel Online self-paced Learning 6 Apache Kafka Online self-paced Learning 7 Introduction to Big Data and Hadoop Online self-paced Learning 8 Certified SAS Base Programmer Certification Training Online self-paced Learning 9 Python Basics Online self-paced Learning 10 Java Essentials for Hadoop Online self-paced Learning
learning path that will empower you to become a qualified data scientist.
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How do I enroll for the Data Scientist Master’s Program?
You can register for the Data Scientist Master’s Program on our website. Online payments may be made using any of the following options:
- Visa debit/credit card
- American Express and Diners Club cards
- Master Card
- PayPal
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What can I expect from the master’s program?
- Access to e-learning content for all of the courses included in the learning path
- Access to exclusive forums, moderated by expert faculty and industry thought leaders
- A master’s certification upon meeting the program requirements
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Where and how do I access the eLearning content for the course?
Once you have registered and paid for the course, you will have 24/7 access to the eLearning content on our website for a full 365 days. You will receive a course purchase confirmation receipt by email that will guide you through the process of our Data Scientist Master’s Program. -
I am not able to access the online course. Whom do I contact?
Please submit a request through Help & Support. You can also use our chat function for an instant solution.
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Do you provide a money-back guarantee?
Yes. We provide a 7-day money-back guarantee for our master’s programs. Refer to the Refund Policy and submit refund requests through our Help & Support link.
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Are exam fees included in the course price?
No. Exam fees are not included for any of the courses we offer. However, you will receive course completion certificates for each course you complete, along with the Data Scientist Master’s Program certificate when you have completed the program requirements. -
How do I earn the Master’s Program certificate?
Once you complete the following requirements, you will be eligible to receive the Data Scientist Master’s Program certificate that will validate your acquisition of a data scientist's skillset.For the elective courses, course completion certificate and project certificate are not required.
Course Course Completion Certificate Simulation Exam Project Certificate Data Scientist with R Programming Certification Required Score > 75% Required Data Scientist with SAS Training Required Score > 75% Required Big-Data Hadoop and Spark Developer Required Score > 75% Required Business Analytics with Excel Required Score > 75% Required Data Science with Python Required Score > 75% Required Apache Kafka Required Score > 75% Required -
Who should take this course?
The data science role requires the perfect amalgam of experience, data science knowledge, and using the correct tools and technologies. It is a good career choice for both new and experienced professionals. Aspiring professionals of any educational background with an analytical frame of mind are most suited to pursue the Data Scientist Master’s Program, including:- IT professionals
- Analytics Managers
- Business Analysts
- Banking and Finance professionals
- Marketing Managers
- Supply Chain Network Managers
- Those new to the data analytics domain
- Students in UG/ PG Analytics Programs
PMP+
