About the Program

  • About the Data Scientist Master's program developed in collaboration with IBM

    IBM is the second-largest Predictive Analytics and Machine Learning solutions provider globally (source: The Forrester Wave report, September 2018). A joint partnership with Simplilearn and IBM introduces students to integrated blended learning, making them experts in Artificial Intelligence and Data Science. The Data Science course in collaboration with IBM will make students industry-ready for Artificial Intelligence and Data Science job roles.

     

    IBM is a leading cognitive solutions and cloud platform company, headquartered in Armonk, New York, offering a plethora of technology and consulting services. Each year, IBM invests $6 billion in research and development and has achieved five Nobel prizes, nine US National Medals of Technology, five US National Medals of Science, six Turing Awards, and 10 Inductions in US Inventors Hall of Fame.

     

    What can I expect from this Data Science courses developed in collaboration with IBM?

    Upon completion of this Data Scientist online Master's program, you will receive the certificates from IBM and Simplilearn in the Data Science courses on the learning path*. These certificates will testify to your skills as an expert in Data Science. You will also receive the following:

    • USD 1200 worth of IBM cloud credits that you can leverage for hands-on exposure
    • Access to IBM cloud platforms featuring IBM Watson and other software for 24/7 practice
    • Industry-recognized Data Scientist Master's certificate from Simplilearn

  • What are the learning objectives?

    Data Scientist is one of the hottest professions. IBM predicts the demand for Data Scientists will rise by 28% by 2020. Simplilearn's Data Scientist Master’s program co-developed with IBM encourages you to master skills including statistics, hypothesis testing, data mining, clustering, decision trees, linear and logistic regression, data wrangling, data visualization, regression models, Hadoop, Spark, PROC SQL, SAS Macros, recommendation engine, supervised, and unsupervised learning and more.

     

    This Data Scientist Master’s program covers extensive Data Science training, combining online instructor-led classes and self-paced learning co-developed with IBM. The program concludes with a capstone project designed to reinforce the learning by building a real industry product encompassing all the key aspects learned throughout the program. The skills focused on in this program will help prepare you for the role of a Data Scientist.

  • Why be a Data Scientist?

    A Data scientist is the top ranking professional in any analytics organization. Glassdoor ranks Data Scientists first in the 25 Best Jobs for 2019. In today’s market, Data Scientists are scarce and in demand. As a Data Scientist, you are required to understand the business problem, design a data analysis strategy, collect and format the required data, apply algorithms or techniques using the correct tools, and make recommendations backed by data.

  • What important Data Science skills you will learn with this Master’s program?

    • Gain an in-depth understanding of data structure and data manipulation
    • Understand and use linear and non-linear regression models and classification techniques for data analysis
    • Obtain an in-depth understanding of supervised and unsupervised learning models such as linear regression, logistic regression, clustering, dimensionality reduction, K-NN, and pipeline
    • Perform scientific and technical computing using the SciPy package and its sub-packages such as Integrate, Optimize, Statistics, IO, and Weave
    • Gain expertise in mathematical computing using the NumPy and Scikit-Learn packages
    • Understand the different components of the Hadoop ecosystem
    • Learn to work with HBase, its architecture, and data storage, learning the difference between HBase and RDBMS, and use Hive and Impala for partitioning
    • Understand MapReduce and its characteristics, plus learn how to ingest data using Sqoop and Flume
    • Master the concepts of recommendation engine and time series modeling and gain practical mastery over principles, algorithms, and applications of machine learning
    • Learn to analyze data using Tableau and become proficient in building interactive dashboards

  • What Data Science projects are included in this Master's program?

    This Data Scientist Master's program includes 15+ real-life, industry-based projects on different domains to help you master concepts of Data Science and Big Data. A few of the projects that you will be working on are mentioned below:

     

    Capstone Project:

    Description: You will go through dedicated mentor classes in order to create a high-quality industry project, solving a real-world problem leveraging the skills and technologies learned throughout the program. The capstone project will cover all the key aspects of data extraction, cleaning, and visualization to model building and tuning. You also get the option of choosing the domain/industry dataset you want to work on from the options available.
    After successful submission of the project, you will be awarded a capstone certificate that can be showcased to potential employers as a testament to your learning.

     

    Project 1: Products rating prediction for Amazon

    Domain: E-commerce

    Amazon, one of the leading US-based e-commerce companies, recommends products within the same category to customers based on their activity and reviews on other similar products. Amazon would like to improve this recommendation engine by predicting ratings for the non-rated products and add them to recommendations accordingly.

     

    Project 2: Improving customer experience for Comcast

    Domain: Telecom

    Description: Comcast, one of the leading US-based global telecommunication companies wants to improve customer experience by identifying and acting on problem areas that lower customer satisfaction if any. The company is also looking for key recommendations that can be implemented to deliver the best customer experience.

     

    Project 3: Attrition Analysis for IBM

    Domain: Workforce Analytics

    Description: IBM, one of the leading US-based IT companies, would like to identify the factors that influence the attrition of employees. Based on the parameters identified, the company would also like to build a logistics regression model that can help predict if an employee will churn or not.

     

    Project 4: Predict accurate sales for 45 stores of Walmart, one of the leading US-based leading retail stores, considering the impact of promotional markdown events. Check if macroeconomic factors like CPI, unemployment rate, etc. have an impact on sales.

    Domain: Retail

    Description: Walmart runs several promotional markdown events throughout the year. The markdowns precede prominent holidays, such as the Super Bowl, Labour Day, Thanksgiving, and Christmas. The weeks including these holidays are weighted five times higher in valuation than non-holiday weeks. The business is facing a challenge due to unforeseen demand, resulting in stocks running out at times due to inaccurate demand estimation. The macroeconomic factors like CPI, Unemployment Index, etc. also play an important role in predicting the demand, but the business hasn’t been able to leverage these factors yet. As a part of this project, create a model to highlight the effects of markdowns on holiday weeks.


    Project 5: Learn how leading Healthcare industry leaders make use of Data Science to leverage their business.

    Domain: HealthCare

    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 brought into action. However, 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 6: Understand how 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: The 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 the 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 7: See how banks like Citigroup, Bank of America, ICICI, HDFC, etc. 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. Its 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 8: Learn how Stock Markets, such as NASDAQ, NSE, and BSE leverage Data Science and Analytics to arrive at a consumable data from complex datasets.

    Domain: Stock Market

    Description: 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 9: 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 10: Understand how leading retail companies like Walmart, Amazon, Target, etc. make use of Data Science to analyze and optimize 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.

  • Who should take this Data Scientist Master’s program?

    The Data Science role requires an amalgam of experience, data science knowledge, and correct tools and technologies. It is a solid 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 Science course, including:

    • IT Professionals
    • Analytics Managers
    • Business Analysts
    • Banking and Finance Professionals
    • Marketing Managers
    • Supply Chain Network Managers
    • Beginners or Recent Graduates in Bachelors or Master’s Degree

  • What are the prerequisites for this Data Science training?

    Professionals wishing to succeed in this Data Science course should have:

    • Basic knowledge of statistics
    • Basic understanding of any programming language

  • What type of jobs will I be suited for after completing this Data Science course?

    As a Simplilearn learner who completes the Data Science course, you will have the skills that will help you land your dream job in Data Science. Jobs that are ideal for data science-trained professionals include:

    • Data Analyst
    • Data Scientist
    • Analytics Manager/Lead
    • Machine Learning Engineer
    • Statistical Programming Specialist

Tools Covered

flumeNumPypandasSciPyspark.Watsonapache hbasehivepigsqoophdfshadooppythonRsas.scala

Program Advisor

  • Ronald van Loon

    Ronald van Loon

    Top 10 Big Data and Data Science Influencer, Director - Adversitement

    Named by Onalytica as one of the three most influential people in Big Data, Ronald is also an author of 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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Learning Path

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Data Scientist

Reviews

  • Pramod Bhargav

    Pramod Bhargav

    Sr. Business Data Analyst and Lead

    The trainer was entirely professional, knowledgeable, and helpful while clearing any doubts. Worth the money and time spent to learn from Simplilearn.

  • Surender Kumar Sarveshwar

    Surender Kumar Sarveshwar

    Principal Consultant at Cognizant

    Simplilearn is the best online platform. I have completed Data Scientist certification from here. The trainers are very knowledgeable. It has a well-organized course. The method of presentation is really commendable. Kudos to Simplilearn. It's definitely going to be a long journey for Simplilearn.

  • Sateesh Kumar Chillakuru

    Sateesh Kumar Chillakuru

    Simplilearn is a gateway for people who want to enter into the fields of Data Science, AI or Cloud. I found this is to be one of the best online instructor-led portals, and I would definitely recommend it. After the certification, I was able to change my job role from a Hadoop Developer to a Big Data Engineer with a good salary hike.

  • Hansil Sago.

    Hansil Sago.

    The material is exciting and structured. The animation in the lectures is very helpful and useful. The lecture notes are also outstanding. The way of explaining things is also great. The instructor is just excellent in everything. I highly recommend people take courses from Simplilearn.

  • Palani Somalinga

    Palani Somalinga

    Principal Business Analyst

    Simplilearn is an incredible platform to learn on your own, depending on your availability. All the questions raised about projects are resolved quickly, helping students to complete projects in time.

  • Deepika Vashishtha

    Deepika Vashishtha

    The study material provided is perfect. And you get lab access on top of that which is very important when trying to learn big data technologies. I also found the live classes very beneficial. The projects and assignments provided help us learn the concepts better. Thanks to Simplilearn.

  • Tajuddin Shaik

    Tajuddin Shaik

    I enrolled in the Simplilearn Masters Program for Data Science to enhance my career and it was a great experience. The courses are delivered by very qualified and experienced trainers, who provided an excellent learning experience. The courses are accessible through the Simplilearn App for any time access. Yes, and 5 Star customer service.

  • Madhukar Malali

    Madhukar Malali

    It was a great learning experience with Simplilearn; I had enrolled for Programming in R with trainer Simon Tavasoli, who has good knowledge on the subject and was very supportive in explaining the course in detail. Plus, the content on the platform covers the topic in detail – overall, an excellent learning experience with Simplilearn.

  • Ankit Agarwal

    Ankit Agarwal

    One of the best trainings I have ever attended. Both the trainer's knowledge and patience are highly appreciated.

  • Sathya Raj

    Sathya Raj

    The best online training center, with lots of hands-on projects. One of the critical things about Simplilearn is the self-learning content which gives you the basic idea about the topics. Moreover, we can watch videos whenever we want, since we are provided with lifetime access to the self-learning videos.

  • Ritwik Mukherjee

    Ritwik Mukherjee

    Simplilearn has been instrumental in developing my understanding about coding and getting the logic right. Of course, they help you understand the mathematical ideas and logic, too, which makes learning better and more thorough.

  • Mabel Wee

    Mabel Wee

    I encountered problems when trying to solve the projects in my Data Science class for Python. The Teaching Assistant was accommodating and provided step-by-step guidance through web chat sessions to resolve the issues.

  • Vivek Negi

    Vivek Negi

    I am thrilled with the course as it was structured and the trainer, Parshvika, shared good content. I believe that the Data Science with Python course will be a great learning experience for my career as a Data Scientist.

  • Rajeev Ranjan

    Rajeev Ranjan

    Database Architect

    Simplilearn is an excellent platform for learning. They have a good bunch of trainers. A flexi-pass is one of the superb options provided, and you can choose multiple sessions at your own pace for learning. The course is well designed and in-line with current market requirements.

  • Shuaib Kokate

    Shuaib Kokate

    Simplilearn is the best platform for e-learning. The instructors are qualified and knowledgeable and willing to help. I have started with this course, and have finished three courses in the past. I would recommend Simplilearn to my friends and colleagues.

FAQs

  • How do I become a Data Scientist?

    This course co-developed with IBM will give you an insight into Data Science tools and methodologies, which is enough to prepare you to excel in your next role as a Data Scientist. You will earn an industry-recognized certificate from IBM and Simplilearn that will attest to your new skills and on-the-job expertise. The program will train you on R and Python, Machine Learning techniques, data reprocessing, regression, clustering, data analytics with SAS, data visualization with Tableau, and overview of the Hadoop ecosystem.

  • What can I expect from this Simplilearn Data Science course developed in collaboration with IBM?

    As a part of this Data Science online training, in collaboration with IBM, you will receive the following:

    • Lifetime access to e-learning Data Scientist course syllabus for all of the Data Science courses included in the learning path (*only for Simplilearn courses)
    • Industry-recognized certificates from IBM* and Simplilearn upon successful completion of the program
    • USD 1200 worth of IBM cloud credits that you can leverage for hands-on exposure
    • Access to IBM cloud platforms featuring IBM Watson and other software for 24/7 practice

  • *For which all courses will I get certificates from IBM?

    Following are the list of courses for which you will get IBM certificates:

    • Data Science in Real Life
    • R Programming for Data Science
    • Python for Data Science
    • Machine Learning with R
    • IBM Watson for Chatbots

  • How do I earn the Master’s certificate?

    Upon completion of the following minimum requirements, you will be eligible to receive the Data Scientist Master’s certificate that will testify to your skills as an expert in Data Science.

    Course

    Course completion certificate
     

    Criteria
    Data Science and Statistics Fundamentals Required 85% of Online Self-paced completion
    Data Science with R Required 85% of Online Self-paced completion or attendance of 1 Live Virtual Classroom, and score above 75% in the course-end assessment, and successful evaluation in at least 1 project
    Data Science with SAS Required 85% of Online Self-paced completion or attendance of 1 Live Virtual Classroom, and score above 75% in the course-end assessment, and successful evaluation in at least 1 project
    Data Science with Python Required 85% of Online Self-paced completion or attendance of 1 Live Virtual Classroom, and score above 75% in course-end assessment and successful evaluation in at least 1 project
    Machine Learning and Tableau Required 85% of Online Self-paced completion or attendance of 1 Live Virtual Classroom, and successful evaluation in at least 1 project
    Big Data Hadoop and Spark Developer Required 85% of Online Self-paced completion or attendance of 1 Live Virtual Classroom, and score above 75% in the course-end assessment, and successful evaluation of at least 1 project
    Capstone Project Required Attendance of 1 Live Virtual Classroom and successful completion of the capstone project

  • How do I enroll for the Data Scientist course?

    You can enroll in this Data Science training on our website and make an online payment using any of the following options:

    • Visa Credit or Debit Card
    • MasterCard
    • American Express
    • Diner’s Club
    • PayPal

    Once payment is received you will automatically receive a payment receipt and access information via email.

  • If I need to cancel my enrollment, can I get a refund?

    Yes, you can cancel your enrollment if necessary. We will refund the course price after deducting an administration fee. To learn more, please read our Refund Policy.

  • I am not able to access the online course. Who can help me?

    Contact us using the form on the right of any page on the Simplilearn website, select the Live Chat link, or contact Help & Support.

  • Do you provide a money back guarantee for the training programs?

    Yes, we do offer a money-back guarantee for many of our training programs. Refer to our Refund Policy and submit refund requests via our Help and Support portal.

  • Who are the instructors and how are they selected?

    All of our highly qualified Data Science trainers are industry experts with years of relevant industry experience. Each of them has gone through a rigorous selection process that includes profile screening, technical evaluation, and a training demo before they are certified to train for us. We also ensure that only those trainers with a high alumni rating remain on our faculty.

  • What is Global Teaching Assistance?

    Our teaching assistants are a dedicated team of subject matter experts here to help you get certified in your first attempt. They engage students proactively to ensure the course path is being followed and help you enrich your learning experience, from class onboarding to project mentoring and job assistance. Teaching Assistance is available during business hours.

  • What is covered under the 24/7 Support promise?

    We offer 24/7 support through email, chat, and calls. We also have a dedicated team that provides on-demand assistance through our community forum. What’s more, you will have lifetime access to the community forum, even after completion of your course with us.

  • Disclaimer
  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.